The Emerging Affordances of Teacher-Directed Platforms, EdTech Tools, and Multimodal Assistants: AI, New Technologies and the Future of Assessment (Part 3)

What are the benefits and drawbacks in using different AI-powered tools for assessment? In part three of this four-part series, Philip Seyfried, Suet Cheah, Alok Sharma, and Dana Bassynbekova highlight the differences in the key features and level of teacher oversight and control that several prominent AI platforms, tools, and chatbots offer for assessment and development of student learning. Their analysis was produced as part of a project working with District 79 of the New York City Public Schools. Part one of this series provided an overview of some uses of AI in both large-scale standardized tests and classroom-based assessments. Part two described some of the new platforms, apps, and tools that teachers can use to create, analyze, and score assessments, particularly those that support more student-centered learning. Part three took a deeper look at and compared the strengths and weaknesses of the assessment capabilities of selected teacher-directed AI platforms, EdTech tools, and AI “assistants” with multimodal capabilities. In the final post in this three-part series, Adelaida Kim and Thomas Hatch provide examples of “micro-innovations” in assessment that leverage AI and new technologies to support the development of specific skills and abilities across subjects and levels. For related stories on AI and education, see: Can AI “ignite the mind and heart”? Stability & change in the education system in China (Part 3); Scanning the global headlines for recent news on AI, schools, and education; AI, Cellphones, Literacy, Students’ Mental Health, Political Turmoil and More: Scanning the Headlines for the Top Education Stories for 2025.

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Artificial intelligence (AI) is rapidly reshaping what is possible in educational settings. AI enables new pathways not only in how students learn, but in how their understanding can be demonstrated, assessed, and developed over time. But the benefits and drawbacks of AI for assessment differ substantially, depending on the affordances of different platforms and tools. Broadly, three categories of AI-powered tools differ in their key features and the degree of teacher oversight, which has important implications for assessment, particularly assessments that move beyond traditional text-based responses toward multimodal, creative, and conversational demonstrations of understanding.

  • Teacher-Directed AI Platforms: Purpose-built EdTech tools designed to put curriculum and guardrails in teachers’ hands, with visibility into student interactions
  • Creative AI Tools: Platforms that empower students to demonstrate learning through the creation of videos, presentations, podcasts, and images
  • Multimodal General AI: Large-scale AI assistants that can generate text, images, and interactive experiences, and which are increasingly finding educational applications

Comparison at a Glance

ToolTeacher SetupStudent CreationQuiz / FeedbackMultimodal OutputTranscript Access
Magic School AI
School AI
Flint AI
NotebookLM
Canva (AI)
Google Gemini
Google Gems

Note: Current capabilities as of July, 2026. “Teacher Setup” refers to the teacher’s ability to configure the AI experience before students use it. “Student Creation” refers to whether students can produce their own multimodal artifacts (images, video, slides, audio) within the tool. “Quiz / Feedback” refers to the ability to quiz or provide feedback on student work. “Transcript Access” refers specifically to the teacher’s ability to read the student’s conversation with the AI.

Teacher-Directed AI Platforms

The tools in this category have been built specifically for K–12 and higher education contexts. Their defining features are teacher control, transparency, and safety. Educators can design AI-powered activities and chatbot experiences, set parameters for student interaction, and critically review what students have said and done on the platform. These features help make these tools useful for formative assessment, differentiated practice, and the ethical deployment of AI in school settings.

Magic School AI

Magic School AI  |  Teacher-Directed AI Platform
OverviewA comprehensive AI platform for educators offering 60+ AI-powered tools, including a “Magic Student” suite that lets teachers build structured AI activities for their classrooms.
Key FeaturesTeacher-designed AI chatbots and activities; student guardrails; access to conversation transcripts; learning analytics dashboard; differentiation tools.
Assessment UseTeachers can assign AI-facilitated activities and review student interactions to assess comprehension, reasoning, and writing development.
Access ModelFree tier available; paid plans for full feature access. Widely adopted in US K–12 schools.

School AI

School AI  |  Teacher-Directed AI Platform
OverviewA student-facing AI learning environment built around “Spaces,” which are teacher-configured AI experiences with defined purposes, personas, and guardrails.
Key FeaturesCustom AI Spaces for each assignment or learning context; teacher visibility into all student-AI conversations; real-time monitoring; safety filters.
Assessment UseTeachers can use conversation data as evidence of student thinking; Spaces can be configured to ask Socratic questions rather than simply provide answers, generating richer assessment evidence.
Access ModelSchool and district licensing model. Designed to integrate into existing classroom workflows.

School AI’s “Spaces” architecture can support alternative assessment approaches. Because teachers define what the AI does and does not do within each Space, they can design experiences that elicit student thinking rather than simply complete tasks for students. The transcript visibility feature is central to its use as an assessment tool.

Flint AI

Flint AI  |  Teacher-Directed AI Platform
OverviewAn AI tutoring and classroom engagement platform that enables teachers to create custom AI tutors with specific personalities, knowledge bases, and behavioral constraints.
Key FeaturesCustom AI tutor creation; teacher monitoring of all student interactions; analytics on student engagement and learning; content guardrails; assignment integration.
Assessment UseAI tutors can be configured to probe student understanding through questioning. Teacher-facing analytics provide formative data. Conversation logs serve as qualitative assessment artifacts.
Access ModelSchool and district licensing. Offers LMS integrations.

Flint emphasizes the tutoring relationship and students receive personalized support while teachers maintain visibility and control. For assessment purposes, the combination of analytics and conversation transcripts offers a window into student thinking that traditional written assessments may not capture.

What Teacher-Directed Platforms Share

Across Magic School AI, School AI, and Flint AI, three features stand out as essential to their value for learning and assessment:

  • Teacher-designed activities and guardrails: the teacher shapes the learning experience before students ever interact with the AI
  • Conversation visibility: teachers can read what students said and how the AI responded, creating a rich record of student thinking
  • Learning analytics: aggregate and individual data surfaces patterns in student engagement and understanding

Together, these features make teacher-directed platforms particularly useful for formative and alternative assessment at this time.

Creative AI Tools

The tools in this category empower students to create multimodal products, such as videos, podcasts, slide presentations, images, and diagrams, to demonstrate their learning. Teachers can ask students to produce an explanation, a visual argument, or a narrated presentation. AI dramatically lowers the technical barrier to these forms of expression, making them accessible to more students.

NotebookLM

NotebookLM  |  Creative AI Tool (Google)
OverviewGoogle’s AI-powered research and synthesis tool that allows users to upload source documents and interact with an AI grounded in those sources. Increasingly capable of generating multimedia outputs.
Key FeaturesSource-grounded AI responses (reduce hallucination); podcast-style audio generation from documents; study guide and FAQ generation; mind map and visual summary creation; video overview generation.
Assessment UseStudents can upload a set of sources and ask NotebookLM to generate a podcast, video overview, or visual explanation of a concept, thereby creating a multimedia artifact that demonstrates synthesis and understanding. Teachers can assess the quality of the artifact as evidence of learning.
Teacher OversightNo direct teacher oversight or transcript visibility built in. Teachers assess the final product rather than the process.

One way to use Notebook-LM for assessment is to ask students to upload primary or secondary sources and then produce a NotebookLM-generated podcast or video that explains a concept, event, or argument. The quality of the output reflects the quality of the sources students selected, and the prompts they used can reveal meaningful understanding. Students then can analyze the results, identifying what AI did well and what important information and perspectives it misses. Notably, however, selecting lower quality texts and prompts may make it harder for students to demonstrate more sophisticated analyses.

Canva (with AI Tools)

Canva  |  Creative AI Tool
OverviewA widely used design platform that has integrated a suite of AI tools for image generation, photo editing, presentation creation, video production, and more.
Key FeaturesAI image generation and editing; AI-assisted slide presentation design; video creation with AI voiceover; photo background removal and editing; “Magic Write” for text generation; diagram and infographic templates.
Assessment UseStudents can edit images for a visual argument, build an AI-assisted presentation to explain a concept, create an infographic to synthesize research, or produce a short video demonstrating the process they went through. These artifacts serve as alternative assessments of understanding.
Teacher OversightNo built-in teacher monitoring of AI interaction. Assessment focuses on the finished product. Canva for Education offers classroom management features, including assignment sharing.

Canva’s value for alternative assessment lies in its accessibility and range. Students who might struggle with a traditional essay may demonstrate a more sophisticated understanding through a well-designed infographic or a narrated video. Photo-editing tasks, such as adjusting an image for a presentation, can also demonstrate visual literacy and design thinking alongside content knowledge.

Both NotebookLM and Canva shift assessment from the process of thinking to its product, which can have both benefits and drawbacks. For instance, these tools enable simultaneous assessment of content knowledge and creative and technical skills, and the reduced technical barrier means more students can demonstrate learning in ways that suit their strengths. However, teachers must develop criteria for assessing multimodal products, not just written responses. Furthermore, the artifact itself (the video, the podcast, the presentation) becomes both the assessment and the evidence of learning, but neither tool currently provides teachers with visibility into the AI interactions that produced the artifact.

Multimodal General AI

General-purpose AI assistants like Google Gemini are increasingly capable across modalities by generating text, producing images, creating video, and supporting interactive experiences. As these tools add educational features (like Google Gems), they occupy a middle ground between creative tools and teacher-directed platforms. They are powerful and flexible, but their oversight features are currently more limited than those of purpose-built EdTech platforms.

Google Gemini

Google Gemini  |  Multimodal General AI (Google)
OverviewGoogle’s flagship AI assistant, available across the Google ecosystem. Gemini is increasingly multimodal, capable of generating text, images, and video, and of reasoning across multiple formats.
Key FeaturesText generation and conversation; image generation; video generation (Veo integration); code generation; document analysis; integration with Google Workspace tools.
Assessment UseGemini can quiz students on a topic, provide feedback on submitted writing or work, and help students explore ideas through conversation. Its multimodal output capabilities allow students to create a range of artifacts.
LimitationAt this time, Gemini does not provide teachers with access to transcripts of student conversations. Assessment of AI-assisted work must rely on final products or student self-reporting.
AccessGemini Advanced is available through Google accounts with a Google One subscription. Integrated into Google Workspace for Education.

Gemini’s growing multimodal capabilities make it a versatile tool for student creation. A student might ask Gemini to generate an image illustrating a concept, then embed it in a presentation with an explanation they have written. Or they might submit a draft essay and receive detailed feedback, an experience that mirrors personalized writing conferences. However, the absence of teacher-visible transcripts is a key limitation for use in formal assessment. Teachers can assess what students produce with Gemini’s help, but not the quality of their reasoning within the conversation itself.

Google Gems

Google Gems  |  Configurable AI Agents within Gemini
OverviewGems are customizable AI personas within Google Gemini. Teachers or institutions can create Gems with specific roles (a research assistant, a writing coach, a practice quiz partner) and share them with students.
Key FeaturesCustom AI persona creation with defined roles and instructions; ability to set a specific knowledge focus; shareable with student groups; supports Socratic questioning, practice environments, and research assistance.
Assessment UseA teacher can create a Gem configured to quiz students on a specific topic, ask follow-up questions, or provide scaffolded feedback on submitted work. Students interact with a purpose-built AI experience within the broader Gemini environment.
LimitationLike Gemini generally, Gems do not currently provide teachers with access to conversation transcripts. The teacher sees neither what the students asked nor how the Gem responded.
Comparison NoteGems offer similar configurability to teacher-directed EdTech platforms (Magic School AI, School AI, Flint), but currently lack the teacher-visibility features that make those platforms most useful for assessment.

Google Gems represent an important development: a mainstream AI platform that adds teacher-configurable experiences. However, Gems’ usefulness for assessment depends on whether or not future versions add teacher visibility into student interactions.

Implications for Assessment Design

Each category of tool implies a different approach to assessment design. Understanding these distinctions helps educators choose the right tool for the right assessment purpose.

Process-Visible Assessment

When using teacher-directed platforms (Magic School AI, School AI, Flint AI), the conversation itself is an assessment artifact. Teachers can evaluate:

  • The depth and relevance of questions a student asks the AI
  • How a student responds when the AI pushes back or asks a clarifying question
  • The progression of a student’s thinking across a multi-turn conversation
  • Whether a student recognizes when the AI has made an error

This form of assessment is particularly valuable because it surfaces metacognitive processes that traditional written products often obscure.

Product-Based Assessment

When using creative tools (NotebookLM, Canva) or general AI (Gemini), assessment focuses on what the student creates. Rubrics for product-based assessment should address:

  • Accuracy and depth of content knowledge demonstrated
  • Quality of synthesis across multiple sources or ideas
  • Clarity and effectiveness of communication in the chosen medium
  • Evidence of original thinking beyond AI-generated content
  • Appropriate attribution of AI-assisted elements

Product-based AI assessment works best when teachers pair it with reflections or oral explanations, giving students the opportunity to articulate what they made and why, which provides additional assessment evidence and can help reveal when students have not thought through or critically analyzed their use of AI.

Feedback and Practice Environments

Both teacher-directed platforms and Google Gems can serve as low-stakes practice and feedback environments that provide students with iterative responses to their work without the pressure of a formal grade. These uses include:

  • Submitting a draft for AI feedback before a teacher conference
  • Practicing for a presentation by interacting with a Gem configured as an audience member
  • Working through a problem set with an AI tutor that provides hints rather than answers

In these contexts, the AI functions less as an assessment instrument and more as a rehearsal space that frees teacher time for higher-order feedback and conferring.

Looking Ahead

The landscape of AI tools in education is evolving rapidly. Several trends are worth watching:

  • Growing teacher oversight of general AI tools. Platforms like Google Gemini and its Gems feature may add transcript visibility and classroom management features as they develop education-specific versions. This would significantly expand their usefulness for assessment.
  • Richer multimodal assessment. As students gain facility with tools like NotebookLM and Canva, educators will have the opportunity to design assessments that require video explanations, well-designed presentations, or AI-assisted research products, pushing assessment beyond text-based demonstrations of knowledge.
  • The conversation as curriculum. In teacher-directed platforms, the transcript of a student’s conversation with AI is a new kind of learning record that documents not just what a student knows, but how they think. Assessment frameworks will need to evolve to make productive use of this data.
  • Questions of attribution and academic integrity. As AI becomes embedded in the creation process, assessment design must grapple with what it means to demonstrate learning when AI has contributed to the product. Clear expectations, reflection requirements, and process-visible assessment approaches all play a role.

Next week: “Micro-Innovations” in Assessment for Specific Subjects, Levels, and Contexts: AI, New Technologies and the Future of Assessment (Part 4)


Can Online Platforms and Digital Tools Support More Student-Centered Learning? AI, New Technologies and the Future of Assessment (Part 2) 

Can new developments in assessment support more student-centered learning? In the second part of this three-part series, Adelaida Kim summarizes how AI and other technologies already offer educators new ways to generate, administer, and analyze assessments, including more student-centered and competency-based assessments. Part one provided an overview of some of the uses of AI in both large-scale tests and classroom-based assessments. Part three will compare the strengths and weaknesses of the assessment capabilities of selected teacher-directed AI platforms, EdTech tools, and AI “assistants.” Part four will provide examples of “micro-innovations” that already demonstrate how AI and new technologies can assess and support the development of specific skills and abilities across subjects and levels. For related stories on AI and education, see: Can AI “ignite the mind and heart”? Stability & change in the education system in China (Part 3); Scanning the global headlines for recent news on AI, schools, and education; AI, Cellphones, Literacy, Students’ Mental Health, Political Turmoil and More: Scanning the Headlines for the Top Education Stories for 2025.

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The rush to incorporate AI into all manner of educational platforms and products has already equipped educators with new ways to assess their students. Many of those tools support conventional tests and quizzes, but some may offer educators opportunities to develop alternative assessments, including portfolios, performance tasks, evidence demonstrations, peer reviews, and self-assessments. In particular, emerging technologies, including AI, could assist teachers in generating more complex, real-world tasks, facilitate data collection, analysis, and feedback, and perhaps foster the development and assessment of a wider range of abilities and overall well-being. Although it is too early to tell how effective many of the new developments will turn out to be, an examination of some of the news and research on assessment over the past few years points to new developments in digital platforms, digital portfolios, learning management systems, and tools for adaptive learning that all bear watching. 

New Platforms, Portfolios, Learning Management Systems, and Assessment Tools

Teachers and students in the US and around the world now have access to a host of different learning platforms. Some of those platforms include features that may help educators manage the complexity of competency-based and personalized assessment. Lift Learning, Foundry, Headrush Learning, Epiphany Learning, and Building 21 represent systems designed specifically around competencies rather than content sequences. These platforms provide structures for organizing student evidence, tracking mastery, supporting project-based learning, and facilitating personalized learning plans. These elements aim to make it easier for teachers to capture artifacts from daily classroom work, such as quick reflections, conference notes, or mini-tasks, and align them to clear performance indicators. The flexibility of these systems allows educators to support formative assessments, such as “micro-conferences,” that provide students with quick feedback and collect and analyze data teachers can use to inform instruction. 

Online platforms

Online platforms may also provide an environment that makes it easier for teachers and students to develop digital portfolios (e-portfolios) that track the development of skills and competencies that extend far beyond those measured by conventional tests. Digital portfolios can capture multimedia materials documenting the processes, products, and performances that students complete. The hope is that by creating a living, accessible collection of work, students, parents, and future educators can all trace academic growth and evolving interests over time, making learning more transparent, equitable, and aligned with real-world competencies.

Learning management systems

Traditional learning management systems have also evolved to support alternative assessment practices. Schoology and Canvas, for example, offer features for rubric-based assessment, multimedia submissions, peer review, and mastery tracking. Meanwhile, Canvas Credentials extends this functionality through digital badges and micro-credentials, intended to indicate when students have demonstrated specific competencies by completing specific activities or producing particular products. These environments aim to provide teachers with an easy way to access new assessment tools, allowing them to integrate tools such as exit tickets, short video explanations, iterative revisions, or authentic performance tasks into familiar LMS workflows.

Platforms for “real-world” skills

Another emerging category includes tools that help bridge classroom learning with real-world skills and career pathways. Territorium, LifeJourney, and Lightcast help schools align student assessments with employability skills and labor-market data. These platforms support a broader vision of alternative assessment: one that recognizes not only classroom competencies but also skills demonstrated in internships, co-ops, community experiences, or extracurricular learning. By mapping student evidence to industry-recognized competencies, these tools help teachers and schools emphasize authentic tasks and support the development of abilities that go beyond conventional academic tasks. 

LifeJourney Homepage showcasing mentors from various industries

Adaptive learning environments

New developments are also supporting the kind of adaptive learning and personalized assessment environments that many hope will make it possible to individualize and differentiate instruction more effectively than in the past. Area9 Lyceum, for example, uses adaptive algorithms to provide continuous formative checks and individualized learning pathways. In these contexts, students can receive real-time feedback, progress through dynamic question pathways, and engage in small-scale, personalized tasks that adjust to their performance.  Similarly, some programs, such as Learn Everywhere, expand the boundaries of where assessment can occur. Allowing students to earn competency-based credit for learning outside the traditional classroom encourages schools to adopt flexible, evidence-driven assessment models. In this approach, teachers use short reflections, artifact documentation, and performance checkpoints to verify learning in diverse settings.

Tools that support multilingual learning and multimodal assessment

To extend the power of this support for alternative assessments, other new tools like Flint AI and School AI can help educators to create assessments that support multilingual learners. These tools enable students to read and respond to prompts, activities, and feedback in different languages. These tools can be particularly useful in subjects that focus on knowledge acquisition, critical thinking, and deeper learning – rather than simply on learning English or another non-native language. In addition, platforms like Canva and Notebook LM increasingly offer opportunities to create and analyze assessments in multiple modalities. These platforms enable students to demonstrate their learning through video-based presentations, audio podcasts, and graphic descriptions, providing windows into their thinking that conventional written responses cannot offer. Again, these alternative formats can be especially useful when students are still developing their capacities to express themselves in writing or in a non-native language. 

Notebook LLM using multiple sources to create assessments such as flashcards, quizzes, and student patterns. Ditch That Textbook, 2026

Implications? 

All these developments are creating a new ecosystem for learning and assessment. The hope is that these new tools and platforms will reduce the burden on teachers, increase transparency for students, and support richer, more authentic, and more personalized demonstrations of learning. However, if the past is any guide, these new developments may be more likely to reinforce conventional testing and instruction than to lead to an immediate revolution. An account of the remarks of Larry Cuban, author of books like Oversold and Underused: Computers in the Classroom, to Google engineers put it this way: “AI will not force educators to rethink how teachers teach, and students learn. Instead, teachers will simply adapt AI to fit the ‘contours’ of their classrooms, keeping it on the periphery of their teaching repertoire.” 

Platforms like Kahoot!, Wayground, Blooket, Gimkit, Quizlet, Formative, Mentimeter, and Plickers can make it easy for teachers to quickly generate formative assessments that students find engaging and that provide frequent information on what students are and are not learning. At the same time, those tools are much better for creating tests and quizzes that measure recall and basic skills than for assessing deeper learning. As with all new technologies, issues of implementation, bias, equity, safety, and effectiveness must be addressed. So far, surveys suggest that the use of AI is growing at a pace that outstrips evidence of its effectiveness and efforts to produce guidelines to support ethical, equitable, and safe use. As a report from Milken Institute published at the end of 2025  indicated, 60% of schools and districts in the US had no guidance on AI use at all, with decisions about how to use AI left largely up to individual teachers.  Under these conditions, concerns about AI among educators, parents, and even students are growing, leaving open a critical question: Can concerns about the use of AI and other new technologies for assessment be addressed as they become ubiquitous? 

Next week:  The Emerging Affordances of Teacher-Directed Platforms, EdTech Tools, and Multimodal Assistants: AI, New Technologies and the Future of Assessment (Part 3)

For Better and for Worse? AI, New Technologies and the Future of Assessment (Part 1)

What effect will AI and other new technologies have on testing and assessment? In the first part of this four-part series, Adelaida Kim and Thomas Hatch provide an overview of how both large-scale tests and classroom-based assessments are changing as AI and new technologies continue to develop. Part two will describe some of the new platforms, apps, and tools that teachers can use to create, analyze, and score assessments, particularly those that support more student-centered learning. Part three will provide a deeper look at and a comparison of the strengths and weaknesses of the assessment capabilities of selected AI platforms, EdTech tools, and AI “assistants”. Part 4 will share examples of “micro-innovations” that are already demonstrating how AI and new technologies can assess and support the development of specific skills and abilities across different subjects and at different levels. For related stories on AI and education, see: Can AI “ignite the mind and heart”? Stability & change in the education system in China (Part 3); Scanning the global headlines for recent news on AI, schools, and education; AI, Cellphones, Literacy, Students’ Mental Health, Political Turmoil and More: Scanning the Headlines for the Top Education Stories for 2025.

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Almost every aspect of assessment is already being affected by AI and new technologies. These new technological developments intersect with long-standing debates about the role that testing and assessment should play in improving learning, teaching, quality assurance, and accountability, contributing to both hopes and fears for the future.  For some, the hopes revolve around making standardized tests more efficient, while others envision a future where conventional standardized testing is obsolete and gives way for the assessment and development of a much wider range of competencies. As Ulrich Boser, co-author of a series of articles about the future of testing, predicted in 2021: “AI is going to eat assessments for lunch.” Of course, those hopes come along with widespread concerns about excessive screen time, cheating, surveillance, privacy, safety, bias, and equity. Although it’s impossible to take stock of every possibility and concern, scanning the headlines for articles about AI and assessment over the past year provides a sense of some of the latest developments in the use of AI for both large-scale standardized testing and classroom assessments.

How might AI affect large-scale testing? 

Many policymakers and researchers argue that standardized testing is an essential tool for accountability and for promoting equity in consequential decisions like college admissions. But critics raise significant concerns, including delays in reporting, which make it difficult, if not impossible, to use the results of these tests to inform instruction and support learning. Chad Aldeman has done the math to show that in 2025, only 6 states released their annual test results by July, while 16 states reported theirs only after October. As he explained, “states have gone from paper-and-pencil tests to computers and somehow gotten slower.” 

The extent of testing also interferes with the time students and teachers have to spend on teaching and learning. A 2015 study from the Council of Great City Schools showed that in large urban districts, U.S. public school students take an average of 112 standardized tests between pre-K and 12th grade. Annually, this testing can take up 20-25 hours of class time. In 2013, a study from the American Federation of Teachers reported that in heavily tested grades, testing might take about 50 hours a year, with over 100 hours of test prep, together consuming almost 15 percent of instructional time. Accountability measures in some states contribute to this problem by instituting year-round testing that requires administering multiple tests over the course of the year, in the hope that the resulting data will help teachers improve student performance. 

Compounding these concerns, the pressure to perform well on all these tests can contribute to a narrowing of the curriculum and a hyper-focus on a limited set of academic skills, making it difficult to support the development of a wider range of abilities and student wellbeing. This disconnect between what’s tested and what’s valued creates considerable frustration among educators. According to a survey by the EdWeek Research Center, almost 60% of educators do not believe that current state standardized tests appropriately measure what students need to know and be able to do.

Regardless of how one views standardized tests, it’s clear that AI is already changing almost every aspect of large-scale testing. Among other things, generative AI can

  • Produce test items
  • Generate sample responses 
  • Create automated feedback 
  • Write reports
  • Adjust item “delivery” to accommodate learning differences
  • Analyze responses to suggest revisions to test items

With these new developments, AI is already being used to grade most writing on New Jersey’s standardized tests; platforms like Classtime give students and teachers almost instant feedback designed to make test-prep more efficient; and test-makers are struggling to keep up with the new developments that enable some students to game the system and cheat on the newest online tests. If the past is any indication, these new developments in testing are likely to both foster long-needed improvements at the same time that they exacerbate some of the most critical problems of over-testing, disengagement, and inequity that continue to plague education. 

Can AI contribute to the development of more powerful classroom assessments? 

AI and new technologies are already changing key aspects of the classroom assessments teachers use day to day. It is far from clear how effective some of these changes will be, but developments may help teachers to measure greater skills, provide more useful feedback, and make assessments more relevant, useful, and personalized. 

Measuring deeper understanding and complex skills. AI technologies, such as natural language processing, can support the development and analysis of alternative assessments, such as performance tasks and portfolios. In particular, teachers may be able to take advantage of AI to help them create tasks such as interactive scenarios in which students interview virtual experts to decide whether a historical artifact belongs in a museum or use a chatbot to research a topic. These kinds of tasks can be difficult for teachers to design and grade, but they give students opportunities to develop and demonstrate skills such as critical thinking, creativity, communication, and problem-solving that are not easily measured by simpler conventional tests. As a UNESCO think piece on the future of assessment argues, AI’s challenge to traditional testing is also “an opportunity to fundamentally realign educational evaluation with more authentic demonstrations of human learning, thinking, and creation.”

Providing Actionable Feedback. Beyond providing final scores, AI can analyze student responses to identify patterns in individual, group, and whole-class answers. These analyses give teachers immediate, concrete data they can use to adjust their instruction and help students right away. As Lauren Katzman points out, providing feedback can be an “unmanageable” task, since spending just 10 minutes reading each student’s draft in a class of 20 can take almost 2 hours. For a high school teacher with 100 students in different classes, reading that one draft can take almost 16 hours. To relieve that workload, initiatives are underway to train AI to provide teachers with information on students’ errors when explaining their reasoning for math problems, enabling teachers to correct student misconceptions in real time. 

Automated writing evaluation (AWE) systems also provide AI-powered scores and feedback on writing directly to students. One meta-analysis found that this automatic feedback had a “moderate” effect size with larger effects for multilingual learners. However, wide variation in results led the researchers to warn that “automated feedback should be combined with other forms of support, such as teacher feedback and individualized learning opportunities, to ensure its effectiveness.” Correspondingly, research reveals that students who write without AI assistance but then use AI to revise their writing show the strongest learning-related brain activity. In contrast, students who use AI to help them write from the beginning show lower brain activity and “lower satisfaction and ownership over their work.”

Weekly Learning Gain Comparison: AI-Driven vs. Traditional Learning Methods (Weeks 1-8). Ayeni, A. O., Ovbiye, R. E., Onayemi, A. S., & Ojedele, K. E. (2024)

“Personalized” and adaptive assessment and instruction. Numerous educational programs, particularly tutoring programs, are already using AI to “personalize” or individualize assessment and instruction in various ways. Among recent developments, educators can use AI to adapt assignments and tests to student learning differences by translating assessments into different languages; taking advantage of chatbots designed to respond to the behavioral cues of students with autism; and employing computer-assisted environments designed specifically for voice and gesture recognition. 

AI can also generate test items that measure core skills but are tailored to a student’s individual interests. At the simplest level, that might include testing fractions by providing a student who loves baking with questions based on a cookie recipe or a student who loves sports might get questions based on the dimensions of a football field. AI can also help educators to generate more complex questions that draw on students’ experiences and local knowledge. For example, questions about physical phenomena that students have observed can replace more generic physics problems. Conceivably, more personalized testing can be more engaging for students, potentially reducing test-taking anxiety and increasing motivation and providing a more accurate representation of their knowledge and abilities. For the most part, however, these claims still need to be tested and verified. 

Beyond tailoring content to student interests, many educators and researchers are exploring adaptive assessment — a form of personalization in which AI analyzes each student’s responses in real time and adjusts subsequent questions and tasks. This is the underlying logic of AI-powered many tutoring tools like Khan Academy’s Khanmigo, which guides students through problems by responding to their specific answers rather than simply providing correct ones, and platforms like Squirrel AI, which has been named one of TIME’s Best Inventions of 2025 for its ability to break subjects down into granular knowledge points and continuously adjust a student’s learning path based on their interactions. A systematic review of AI-driven intelligent tutoring systems in K-12 education finds that these systems can “monitor student progress, identify difficulties and errors, navigate structured subject content to offer and tailor the difficulty level, thus developing an optimal path for learning.” Researchers at the University of Michigan are developing adaptive chatbots that go further still, carrying out dialogue with students and providing scaffolding based on both the accuracy and the sentiment of their responses, with teachers able to customize the question sequences to match their own instructional goals. With new AI-based adaptive approaches far outpacing research on their effectiveness, how quickly and equitably these approaches can be implemented across schools remains an open question. 

The future for AI and assessment? 

New possibilities and challenges for AI and assessment will continue to emerge as AI and other technologies develop, making it difficult to predict exactly what might happen next. Regardless, some of the benefits and challenges are already clear.  With these challenges in mind, some experts believe that smaller shifts in assessments and instruction are more likely in the next few years rather than a dramatic revolution. As Matt Johnson, a principal research director at  Educational Testing Service (ETS), puts it: “My opinion is that there will be a slow creep of new stuff.”  So far, some of the developments most likely to be a part of that “slow creep” include the use of AI by test makers and teachers to generate test items and tests. But Janet Garcia, CEO of PSI and President of the ETS, sees even bigger changes ahead: “One of the clearest trends I see emerging is the movement away from single-point, multiple-choice exams toward more continuous, real-time demonstrations of competence.” 

It remains to be seen how quickly these kinds of developments in large-scale testing and the assessment of a wider range of competencies might take hold, but, more concerning, it’s far from clear whether changes like these will make things better or worse for students and teachers

Next week: Can Online Platforms and Digital Tools Support More Student-Centered Learning? AI, New Technologies and the Future of Assessment (Part 2)

Unforgetting Histories and Imagining Futures: The Lead the Change Interview with Daisy Salazar-Garza

In the fourth part of this month’s Lead the Change (LtC) interview, Daisy Salazar-Garza discusses her firsthand experience of the inequities in the public education system and the impact this has on students, families, and communities. Salazar-Garza is a Ph.D. student in the School of Educational Studies’ Urban Leadership Program at Claremont University. German is a recipient of the Student Travel Award from the Educational Change Special Interest Group (SIG) of the American Educational Research Association (AREA). The LtC series is produced by co-editors Dr. Soobin Choi and Dr. Jackie Pedota and their colleagues who lead the Ed Change SIG. A PDF of the fully formatted interview will be available on the LtC website.

Lead the Change (LtC): The 2026 AERA Annual Meeting theme is “Unforgetting Histories and Imagining Futures: Constructing a New Vision for Educational Research.” This theme calls us to consider how to leverage our diverse knowledge and experiences to engage in futuring for education and education research, involving looking back to remember our histories so that we can look forward to imagine better futures. What steps are you taking, or do you plan to take, to heed this call? 

Daisy Salazar-Garza: The 2026 AERA theme, “Unforgetting Histories and Imagining Futures: Constructing a New Vision for Education Research,” calls us to draw upon our diverse knowledge and lived experiences to engage in meaningful “futuring” for education. For me, as a Chicana educator, scholar, and first-generation doctoral student, this theme feels deeply personal. It is a call that echoes the lessons my family instilled in me from an early age.

My family, especially my father, taught me about life’s harsh realities and the beauty of resilience through the power of storytelling. Around family meals, during long drives, or in quiet moments on the porch, I listened to stories of our history—stories of struggle, perseverance, and hope. These narratives shaped my understanding of who I am and filled me with a deep sense of pride. They taught me to honor the strength passed down from my ancestors and to recognize that storytelling is not only an act of remembrance but also a tool for transformation.

This foundation shapes how I approach educational research. To truly “unforget” our histories, we must center the voices and stories that have been pushed to the margins. Leveraging our collective knowledge requires valuing the lived experiences of those most impacted by educational inequities. By empowering communities with a vested interest in the future of education, we can imagine possibilities rooted in justice, equity, and collective empowerment.

As I continue to heed the 2026 AERA theme, I draw upon this legacy of storytelling and historical remembrance to inform my work. Understanding the social, economic, political, and racial contexts that have shaped communities is essential to serving them authentically—honoring both their strengths and the systemic injustice they have endured. Through remembering and honoring these histories, we can envision and build educational spaces that celebrate our roots and uplift our voices. In doing so, we can cultivate a just and hopeful future that directly confronts the inequities we must transform. 

Source: Bank Street Graduate School of Education website

LtC: What are some key lessons that practitioners and scholars might take from your work to foster better educational systems for all students?

DSG:  Recently, I had the privilege of working with Dr. Osworth to co-author “Outward Portrayals of Equity: An Examination of Diversity, Equity, and Inclusion in Los Angeles County School Districts.” In 2024, we collected data from 80 public school districts to assess the current state of DEI commitments in Los Angeles County districts.

From this work, several lessons emerge for practitioners and scholars in the field of Educational Change. First, our findings highlight the need to look beyond surface-level portrayals of equity and focus on how DEI policies are enacted in districts and schools. Value statements made toward DEI without creating infrastructure through policy to support the work does not address the racialized nature of the structures within school districts (Salazar-Garza & Osworth, 2026). Second, schools as organizational systems often reproduce existing inequities. Recognizing these structural patterns is the first step toward redesigning them. Ultimately, transformative change needs to occur at the systemic level to disrupt and dismantle entrenched systems of inequality (Salazar-Garza & Osworth, 2026). Finally, pairing enforcement mechanisms, such as culturally responsive teaching, with policy can contribute to conscious efforts to alter internal patterns of organizational inequity (Salazar-Garza & Osworth, 2026). 

Together, these insights emphasize that fostering educational change requires both reflective practice and systemic change. Equity efforts translate into improved student experiences and outcomes when we can redesign structures enacting patterns of inequity. 

LtC: What do you see the field of Educational Change heading, and where do you find hope for this field for the future?

DSG: As a scholar-practitioner, I believe the field of educational change is heading toward a deeper partnership with people who are the most affected by our current educational realities. By centering the voices of teachers, students, families, and communities, we can inspire real progress. Change comes when research and practice work go hand in hand to bridge the gap between theory and lived experience. 

Given the current polycrisis world we’re navigating, where social, economic, and environmental challenges continually intersect, I find hope in collaboration within the field of education (Virella, 2025). Dr. Virella’s Crisis as Catalyst: Equity-Oriented School Leadership During Difficult Times reminds me that even in moments of uncertainty, there is great potential for transformation. As a school principal who was interviewed and whose narrative is present in this research alongside numerous other school leaders, it is a reminder that practitioners are engaging in powerful practices that are meeting the needs of our present moment. It is also a call to action that we can study practices from the field, derive key lessons, and create frameworks that empower and sustain more educators across the field.

What gives me hope is seeing more educators and researchers approach their work not just as inquiry, but as partnership with students, families, communities. When our research centers humanity and lived experience, educational change can lead us toward a more just and human-centered system for all students.

References

Salazar-Garza,D. and Osworth, D. (2026) Outward portrayals of equity: an examination of diversity, equity, and inclusion in Los Angeles County school districts. Leadership in Education Racial Equity and the Organization: An Educational Change Call to Action. Frontiers in Education. https://doi.org/10.3389/feduc.2026.1642675

Virella, P. M. (2025). Crisis as catalyst: Equity-oriented school leadership during difficult times. Harvard Education Press.

How innovations in school facilities can address climate change and support learning: Sustainability, students and schooling (Part 3)

What does it take to create more sustainable school facilities? In the third part to this series, Carter Hyde and Hannah Nguyen discuss some of the new developments in facilities and facilities management that schools across the country have implemented to conserve energy, cut costs, and support students’ learning and wellbeing. The first post explored the negative impact that climate change and related disruptions have on students, and the second post focused on how schools are making busing and other aspects of school transportation more sustainable.

This series is a part of IEN’s ongoing coverage of what is and is not changing in schools and education following the pandemic school closures. For more on the series, see “What can change in schools after the pandemic?”  For examples of micro-innovations in other areas, see Access to food and school meals in the US and around the world; Innovations in providing children with food and nutrition; Building Student Relationships Post-Pandemic in School and Beyond; Scanning the Post-COVID Challenges and Possibilities for Access to Colleges and Careers in the US ; New Pathways into Higher Education and the Working World? (Part 2)Tutoring takes off and Predictable challenges and possibilities for effective tutoring at scale.

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Environmental changes are contributing to disasters, crises, and day-to-day conditions that disrupt schooling, increase costs, and undermine students’ health and learning. Combatting these problems is profoundly complex, often requiring difficult trade-offs. Efforts to improve student health and learning environments may conflict with long-term sustainability goals and cost-effectiveness. These tradeoffs force school administrators to weigh the benefits of expensive structural upgrades against smaller, more affordable interventions. Despite the challenges, schools in the US and around the world are taking innovative steps that range from major infrastructure upgrades to homegrown, creative adjustments made by teachers in their classrooms.

A student from John McDonogh Senior High School’s first graduating class since Hurricane Katrina walks past a damaged wall on the way to commencement June 8, 2007, in New Orleans, LA, K12 Dive

Major Infrastructure Upgrades and Renewable Energy 

After salaries, energy represents a critical area for both reducing costs and addressing sustainability. In the US, energy bills make up the second highest cost for school districts, amounting to roughly 8 billion dollars per year. To address these significant expenses, many institutions are moving beyond reactive budgeting and toward strategic roadmaps that help schools set sustainability goals that are aligned with national sustainability targets. Schools can use these roadmaps to help reduce the schools’ energy and water consumption, waste, and greenhouse gas emissions. 

In addition to strategic budgeting, some schools are turning to high-impact technology to reduce energy costs and to promote sustainable practices. For instance, some schools are now putting in place geothermal wells because they offer a particularly sustainable way to heat and cool schools without burning fossil fuels. At the same time, some schools are turning to solar energy so that they can develop their own sources of energy. Though a costly up-front investment, solar panels can help reduce the electrification gap by providing a sustainable way to power schools that reduces costs over time and contributes to better air quality. 

Countries with large with large school electrification gaps tend to have high potential for solar power generation, UNESCO via Gem Statlink

Improving HVAC Systems and the Building “Envelope” 

Beyond energy sources, improvements to the school’s physical “envelope”—the walls, windows, and climate systems—can support student performance. Upgrading old HVAC systems, in particular, provides a way to cool classrooms and create better learning conditions at the some time. As one review of survey data from New York State schools showed, improving HVAC systems contributed to a 2% increase in attendance and a 3% increase in math scores over multiple years. Among other benefits, HVAC improvements can produce better air flow, which reduces the spread of disease and helps students focus. Improving air filtration through the use of air purifiers and portable air cleaners, can also help improve cognition and mitigate illness-related absences. 

At the same time, air conditioning alone is not always a sustainable solution, as these systems can expel hot air outdoors and contribute to global warming. As architect Francis Kere explains, “energy-intensive air conditioning, which expels hot air outdoors, contribute to global warming, which then fuels demand for more air conditioning.” Instead, Kere recommends using passive cooling techniques, such as overhanging roofs to improve air circulation and generate cross-ventilation.

A student leaves the secondary school building built by Pritzker Prize-winning architect Francis Kere, in Kere’s home village of Gando, Burkina Faso, The Japan Times via Reuters

Schools can also make improvements in the outdoor environment to address sustainability. For instance, planting trees on asphalt playgrounds can reduce temperatures through shading, and painting roofs white, adding vegetation of false ceilings, and creating more green spaces can reduce the “heat island” effect.

Balancing Lighting and Temperature

Lighting represents another area where schools need to consider potentially conflicting benefits. In a 2020 review of 130 studies, lighting was found to be one of the environmental factors that had the biggest impact on students’ learning and wellbeing. Maximizing the amount of natural light in classrooms, in particular, has been shown to have a number of benefits including reducing eye strain, boosting mood, and improving cognition. Although artificial lighting may lead to lower motivation and eye strain, research reviews highlight that students in classrooms with more natural light showed higher productivity, engagement, and attention level. Despite these benefits, some classrooms may still suffer from poor lighting or rely too heavily on  artificial sources. This problem is exacerbated by the fact that, in an effort to reduce energy consumption and costs, many schools have implemented LED lighting in classrooms. 

In addition to finding a balance that maximizes the benefits of natural lighting with the costs, schools have to take into account the fact that both too much direct sunlight and too little light can negatively impact student engagement and impair test scores. Furthermore, schools have to take into account mitigating factors, including structural limitations that prevent some classrooms from relying on daylight, as well as the increases in classroom temperature and energy costs that come with larger windows. One way to deal with these challenges is to use temperature-treated or double-paned glass to provide light while keeping the heat out. The use of window shades may also be useful in eliminating glare. 

Teachers’ Role in Sustainability

Whether or not schools have the resources for major structural changes or sustainability upgrades, teachers play a key role in striking the right balance between lighting and temperature and supporting both sustainability and an optimal learning environment. For instance, teachers have demonstrated a host of creative ways to combat heat and to improve the environment including using fans, creating window art to reduce glare, and turning off heat-generating electronics. In some cases, the simplest solutions may be the best solutions, as teachers in schools located in temperate regions with good air quality can open windows to allow for natural air flow.

Improving Facilities in “Old” Buildings

Along with so many natural disasters and rising temperatures, many communities face a long-standing demand to improve aging or inadequate school buildings. One of the most recent assessments of school infrastructure in the US shows that it would cost almost 200 billion dollars to bring all K-12 school buildings into good overall condition and the American Society of Civil Engineers gives the condition of America’s 100,000 public school buildings an overall grade of D+. Estimates suggest it would take as much as 85 billion dollars a year to make the needed improvements. On top of that, the costs of deferred maintenance continue to compound with every one million dollars worth of needed improvements deferred in one year leading to  $1.08 – 1.12 million in costs the following year.

In the US, the burden and responsibility for addressing this problem falls on individual school districts and communities, but many lack the resources to pay for the significant upfront costs of building new facilities. Some districts have tried to mitigate these costs – and the sustainability problems that new construction often produces – by repurposing older buildings. For instance, struggling malls have opened the doors to charter schools as tenants to use the empty spaces. One charter school in South Carolina opened up in a former JC Penny Store. In Massachusetts, instead of building a new high school, one district opted to co-locate a school in the community’s senior center. center down the road. 

Liberty STEAM Charter School in Sumter, S.C., is one of many schools that have opened up in malls across the nation, The New York Times

For more information regarding infrastructure and sustainability, see:  

Officials promised all NYC classrooms would get air conditioning. 1 in 5 still lack it. (ChalkBeat

Is your NYC school using the air purifiers that were distributed during COVID? (ChalkBeat) Why improving air quality in schools would minimize the threat of bird flu spread (ChalkBeat) California’s K-12 schools often lack sufficient shade and natural surfaces (UCLA Luskin School of Public Affairs)

Measuring schoolyard heat one step at a time (UC Davis College of Agricultural and Environmental Sciences)

Alabama is Bringing Forests Into Schoolyards (Governing)

What Works and For Whom? Effectiveness and Efficiency of School CApital Investments Across the U.S. (Biasi, Lafortune, & Schonholzer)

‘A place for kids to play and a place to store water’: the stormwater capture zone that is also a playground (The Guardian)

NYC to install solar panels at 72 public schools by year’s end, helping kids learn about clean energy (Daily News)

What Will Districts Do With All Those Empty School Buildings? Some Look to Fill Them With Younger Kids (EdSurge)

How schools are making busing and transportation more sustainable: Sustainability, students and schooling (Part 2)

Can new developments in busing and transportation help schools to cut costs and become more sustainable? That’s the question that Carter Hyde and Hannah Nguyen tackle in the second part of this three-part review of recent news and research related to schools and sustainability. Part 1 explored how climate change and related disruptions can have a negative impact on student learning. Part 3 will explore what schools can do to make their facilities and other aspects of school operations more sustainable. 

These posts are part of IEN’s ongoing coverage of what is and is not changing in schools and education following the pandemic school closures. For more on the series, see “What can change in schools after the pandemic?”  For examples of micro-innovations in other areas, see Access to food and school meals in the US and around the world; Innovations in providing children with food and nutrition; Building Student Relationships Post-Pandemic in School and Beyond; Scanning the Post-COVID Challenges and Possibilities for Access to Colleges and Careers in the US ; New Pathways into Higher Education and the Working World? (Part 2)Tutoring takes off and Predictable challenges and possibilities for effective tutoring at scale.

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What kinds of innovations might enable schools to cut costs and become more sustainable? New developments in school transportation and busing may be at the top of the list. Swapping diesel-fueled buses for electric vehicles, using technology to create more efficient routes, and encouraging biking and other transportation alternatives are among the most notable innovations that can make school transportation more sustainable.

Electric buses

The development of electric school buses has been one of the most important innovations in sustainable schooling, helping both to save money and, in some cases, supporting student attendance and learning. Potential cost savings are one key factor that has encouraged a number of communities in Rhode Island, Southern California, and New York to make the switch to electric school buses. Although electric buses can cost between $150,000 to $300,000 more than a conventional diesel-powered bus initially, replacing a diesel bus can ultimately help reduce operational costs by 60%.  

More school districts are beginning to switch to electric vehicles, Herald Net

The invention of the vehicle grid has helped to drive those cost savings because bus batteries can be plugged into the grid, where they can be charged or where they can send energy back to the grid if the electrical utility needs more power. In addition to the direct cost-savings, electric buses can help to reduce air pollution with related health benefits. As one report put it, for electric buses, “the up-front investment, along with delivering students to school and home again, is delivering greater value; in better health for students and neighborhood residents as well as climate-saving reductions in greenhouse gas emissions.” That’s because gas-powered vehicles significantly increase health risks and switching to electric buses can yield “up to $247,600 in health and climate benefits for each bus, including reduced rates of adult mortality and childhood asthma.”

Route mapping 

Securing funding for electric buses is only one step, but new technologies and AI  are also creating opportunities to increase efficiency through innovations in route mapping. One district in Colorado Springs teamed up with HopSkipDrive to test the company’s “RouteWise AI” program which aims to address bus driver shortages and reduce student absenteeism. The program has cut the number of bus routes in half and increased on-time arrival rates to 99%, saving the district $8 million over a decade. 

RouteWise AI, HopSkipDrive

Alternative modes of school transportation

Even the most efficient bus routes cannot solve every logistical problem, particularly in areas where buses are inaccessible or unavailable due to proximity limitations or driver shortages. In response to these limitations, many districts are shifting their focus toward encouraging safe alternative modes of transport to school. For instance, Hawai’i schools received an $8 million boost for school travel through the Safe Routes to Schools fund. The goal of the fund is to “get more kids out of cars and onto safe and comfortable pedestrian and bike paths within walking distance of their schools.” A lack of funds and limited availability of buses also led to an initiative at Detroit’s Davis Aerospace Technical High School to give students free bicycles for their commute to school. Donations from the community helped pay for the bikes, which helped to reduce chronic absenteeism and reduced the amount of time students had to spend walking to school or waiting for buses. 

Junior Elyazar Holiday says having a bike helps him catch the buses he needs to ride to get to Davis Aerospace Technical High School. Here, he is pictured with his peers riding bikes in front of the school, Chalkbeat

 “Bike buses,” consisting of groups of people who ride to or from  school together, serve as another transportation related micro-innovation that can have multiple benefits. Michael Cohen, in a Washington Post article suggested the popularity of bike buses spread virally on social media when people in Barcelona posted videos of a “bicibus.” According to Cohen, numerous other communities have developed their own form of bike buses, and a variety of websites including Montclair (NJ) Bike Bus and Bike Bus World provide information and news for those in their local communities and offer specific guidelines to help others start their own versions. In addition to safety, switching from buses to bikes can also help to build relationships and social connections among students and parents, eliminating congestion, and reducing pollution. 

Policy “roadmaps” 

Beyond the buses and related technologies, policymakers are creating new policy “roadmaps” and “guidebooks” that provide a broader strategic framework that helps schools, districts, and municipalities to deal with their transportation needs. In 2023, New York became the first state to pass a school bus electrification mandate. To make the transition more tangible for schools, the New York State Energy Research and Development Authority (NYSERDA) released a bus roadmap and guidebook that details the key challenges, costs, funding and policies involved in the switch to electric buses. According to New York Governor Hochul, “our roadmap and guidebook will provide school districts and bus operators with the latest information to enhance their fleets with zero-emission buses through proper planning, purchasing, and financing.”

New York State’s Electric School Bus Road Map, NYSERDA

New York’s roadmap provides a blueprint for reaching sustainability targets and is a part of a much larger ongoing movement. In 2024, the Environmental Protection Agency posted updated emission standards that include guidelines for school buses. Under the 2021 Bipartisan Infrastructure Law, the EPA launched the Clean School Bus Program, a $5 billion, five-year grand program, to give schools the funding to purchase low- and zero-emission school buses. Although the Trump Administration has not provided additional funding, during the Biden Administration, nearly $2.7 billion was distributed, with 90% of the funds going directly to electric school buses.

Next week — How innovations in school facilities can address climate change and support learning: Sustainability, students and schooling (Part 3)

For more information regarding transportation and sustainability, see:  

Schools lined up for help getting cleaner school buses. Then came the EPA freeze (AP News 2025)

How one school district is turning to AI to solve its bus driver shortage (CBS News 2024)

Electric school buses give students a healthier ride. The break from pollution could also help their grades (Chalkbeat 2025

Why 98% of districts are modernizing transportation (District Administration 2025

Funding for electric school buses hits bump in smaller districts (ECO RI 2024)

The school bus driver shortage has improved slightly but continues to stress K-12 public education (Economic Policy Institute 2025) 

Why some districts are shifting teens from school buses to public transit (Edweek 2025)

NY schools have to electrify buses by 2035. Here’s how one district is making the switch (North Country Public Radio 2024)

Riding the yellow school bus: Equity in bus transportation across districts, schools, and students (Sage Journals 2022)

Electric school buses and waterfront parks get Environmental Bond Act Boost (The City 2025)

School bus driver shortage: Durham parents must drive students to school 1 day per week in December (WRAL News 2024)

How is climate change affecting schools and schooling? Sustainability, students and schooling (Part 1) 

Educators and education programs around the world are both developing new ways to make schooling more sustainable and creating new educational opportunities for students to learn about the world around them. To help take stock of these developments, in the first part of this 3-part series, Carter Hyde  and Hannah Nguyen review some of the latest news and research that discusses how climate change affects student learning. Future posts will outline some of the new developments – or “micro-innovations” – in transportation and facilities that educators around the world are pursuing to support a more sustainable planet, cut costs and foster student learning and wellbeing.

These posts are part of IEN’s ongoing coverage of what is and is not changing in schools and education following the pandemic school closures. For more on the series, see “What can change in schools after the pandemic?”  For examples of micro-innovations in other areas, see Access to food and school meals in the US and around the world; Innovations in providing children with food and nutrition; Building Student Relationships Post-Pandemic in School and Beyond; Scanning the Post-COVID Challenges and Possibilities for Access to Colleges and Careers in the US ; New Pathways into Higher Education and the Working World? (Part 2)Tutoring takes off and Predictable challenges and possibilities for effective tutoring at scale.

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How climate change can undermine student’s health and learning

Each year, schools face a host of climate-related risks that can have a wide range of effects on the health and learning of students. As the authors of a UNICEF report put it, many “schools and education systems are ill-equipped to protect students from the impacts of climate change, particularly in fragile contexts, and climate finance investments in education remain strikingly low.” Just as one example, worsening pollution levels can impact respiratory and cardiovascular conditions, affecting children’s overall health and contributing to absences from school. Illustrating the significant impact that reducing could have on children’s health, in the US, estimates suggest that replacing old buses through a federal rebate program increased attendance between 2012-2017 by 350,000 days and that replacing all buses produced before 2000 would add another 1.3 million school days.

The effects of climate change on environmental, physical, and mental well being, National Institute of Environmental Health Sciences

Of course, natural disasters can have devastating and direct effects, causing injury, illness, or death, and the impact of severe weather alone has a drastic effect on school operations, leading to eroding school finances and disrupted learning. In just one year, in 2024, nearly 10% of the school year was lost to climate related disruptions in low income countries, and extreme heat affected nearly 1 in 3 children. Exposure to heat waves has also been linked to a loss of almost 1.5 years of schooling for some children. In the US, rising temperatures are associated with declines in student math performance, especially for students in high-poverty schools. And it’s only getting worse. The World Meteorological Organization confirmed that 2024 was the warmest year to date, and a record-breaking one-third of the global population experienced a heatwave. “By 2050, nearly every child will face more frequent heatwaves – threatening their health, disrupting their education ,and putting their future at risk.”  Given these challenges, it’s not surprising that concerns about climate change are also having a negative effect on the mental health of children, adolescents, and young adults. As a 2021 survey reported, 59% of 16- to 25- year-olds were very or extremely worried about climate change.

Can schools become more climate resilient?

The costs of school disruptions have sparked a movement toward making schools climate resilient, particularly by improving transportation and infrastructure. More sustainable approaches to schooling can benefit not only students’ health but also help reduce costs that free up funds for other educational purposes. An analysis from the Boston Consulting Group illustrated how government actions on climate  can save considerable money over time.  As the report put it, “By investing a relatively small portion of GDP—less than 1%—into climate adaptation measures, it is possible to avoid much larger economic losses of up to 4% of GDP. Then, the remaining economic impact in a less-than-2°C scenario ranges from 4% to 6% of GDP.” Economically, even modest investments in climate adaptation can prevent much larger long-term losses. 

Climate change costs and investments as a share of cumulative GDP until 2100 (%), BCG Analysis

Despite the available evidence, a focus on sustainability remains controversial in some countries. Countries, like Iran, Libya, and Yemen have also refused to sign onto global accords—such as the Paris Agreement or United Nations Framework Convention on Climate Change—designed to support sustainability expressing concerns about sustainable practices negatively affecting their economies. In the US, in particular, the current administration has explicitly worked to remove policies and limit initiatives that aim to combat climate change or support more sustainable practices. The U.S. Department of Education’s recent decision to terminate the Green Ribbon Schools program is a prime example of the reduced funding. The 15-year-old program honored schools across the country for their implementation of environmental practices. The program’s termination came soon after the DOE concluded the National Blue Ribbon Schools Program, in which schools were honored for academic excellence. 

Nontheless, concerns about addressing the climate emergency have continued to grow, with increasing numbers of individuals and organizations joining a broad social movement to create a more sustainable planet. Many teachers and youth have been engaged in this movement for years, as demonstrated by the efforts of Greta Thunberg and others who helped lead the Global Climate Strike in 2019. Since that time, a number of efforts focus specifically on addressing an “understanding gap” as nearly half of teens cannot identify the causes of climate change. As the efforts to address that gap proceed, the impact could be substantial. Research even suggests that if 16% of high school students in high- and middle-income countries received climate change education, carbon dioxide could be reduced by almost19 gigtatons by 2050. To support climate change education, more and more resources are becoming available, including documents like “Climate Literacy: Essential Principles for Understanding and Addressing Climate Change” and collections of Climate Change Resources. These efforts may benefit as well from plans by the OECD to include a measure of climate literacy as part of the PISA assessments in 2029.

Next week – How schools are making busing and transportation more sustainable: Sustainability, students and schooling (Part 2)

Micheal Kirst and Victor Chan on “Broadening our perspective concerning American’s education attainment: Growth, progress and data gaps”

The current narrative of education stagnancy or decline is misleading. That’s the key argument in this excerpt from a recent paper from Micheal Kirst and Victor Eliot Hau Hong Chan. To make that argument, Kirst and Chan draw on a variety of data from students from ages 15-25 that shows a pattern of growth and progress in Advanced Placement, dual enrollment (i.e., combining high school and college), four-year colleges/universities growth and completion, apprenticeships, certificates, and credentials. The full paper was published in April 2026 as part of the Research and Occasional Papers Series from the UC Berkeley Center for Studies in Higher Education. Kirst is Professor Emeritus of Education at Stanford University and the longest serving President of the California State Board of Education. Chan has an MA from Stanford University. Some images in this post are drawn from the Mike Kirst Biography project produced by Richard K. Jung. For previous posts from IEN on the work of Michael Kirst see Big Infrastructure, Big Capacity Building, and State-Wide Scale-Up…”: Mike Kirst on the Need to Revitalize Standards-Based Reform and Making public policy work for education: Reflections on the career of Mike Kirst

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For decades, the performance of the American education system has been largely judged by one narrow set of indicators: K–12 standardized test scores that encompass both national and international units of analysis (Hatch, 2021). Proponents of such assessments argue that test scores matter for many things, including national economic prosperity and growth (Hanushek, 2015). The predominant narrative about such data argues that over a long period of time, U.S. scores have either declined or remained stagnant (National Assessment of Educational Progress, n.d.). A resulting sense of alarm about the state of American education has only been intensified by recent test score declines, both before and after the pandemic.

However, K–12 test benchmarks are insufficient proxies for measuring the long-term educational and economic value generated by American educational institutions and programs. While K–12 schools prepare students for education beyond high school, the prominent tests are limited to outcomes in high school alone (OECD, 2023). As Nicholas Eberstadt (2025) has found, there is a “robust and remarkably stable correspondence between a country’s mean years of schooling and its per capita productivity,” meaning that test scores “are less powerful predictors of economic performance than … sheer years of schooling for a national population.” Simply put, students are in school for far longer than K–12 data alone would suggest, putting pressure on the continued reliance on test scores for assessing the state of national education. In order to obtain a fuller and more accurate picture of education attainment, it is important to look beyond K–12 test scores and, indeed, beyond high school graduation itself.

Public opinion has turned sharply negative concerning colleges and universities in the past decade. The slogan “college for all” that guided the Obama Administration has been attacked as putting too little policy attention on vocational and career education. Moreover, a considerable public focuses on the tiny segment of highly selective postsecondary institutions. Yet those critiques have not included an understanding or trend analysis of the vast array of postsecondary education that already exists, including high schools (AP), job sites, military bases, and prisons. Perhaps if the public better understood the entire array of postsecondary education available to Americans, and its contributions to national educational attainment, their opinion might become more favorable.

Focusing on youth 15 to 25, our goal is to reframe the current conversation around U.S. education attainment and performance by systematically examining how different forms of postsecondary education and training have grown, evolved, and contributed to workforce development over several decades. Based on our review of the literature, we estimate that at least 73% of high school students proceed on to some form of postsecondary education (Irwin et al., 2023).

Our research demonstrates that stagnancy or decline is not the dominant trend if postsecondary and K–12 education are combined. We find a pattern of growth and progress in Advanced Placement, dual enrollment (i.e., combining high school and college), four-year colleges/universities, apprenticeships, certificates, and credentials. Together, these elements significantly increase the number of years U.S. students spend in educational environments.

For more on Kirst’s career, see Michael Kirst: An Uncommon Academic, by Richard K. Jung

Just as importantly, however, our analysis identifies where current research and data infrastructure fall short and thus prevent a full accounting of progress or performance. While there are promising developments in sectors such as career and technical education, college transfer, and remedial education, the data gaps in these three sectors do not permit overall conclusions. Some sectors — like on-the-job training, military education, and credentials — lack sufficient data to determine trends. For this reason, our assessment offers not only a longitudinal scan of institutional and programmatic attainment growth, but also a guide to the questions policymakers and researchers must now prioritize and the places where further data must be gathered. This paper thereby contributes to an extensive literature integrating the K–12 perspective with postsecondary education, a literature that argues that this complex array of secondary and postsecondary entities should not be treated as separate domains, and that policies should span the entire spectrum (Hoffman et al., 2007).

Scope of Analysis

This project evaluates 11 distinct categories of educational pathways beyond the traditional higher education framework: 1) Early College Credit (AP); 2) Dual Enrollment in High School and College;  3) Career and Technical Education (CTE); 4) Apprenticeships; 5) Completion of 4-Year and 2-Year College Degrees; 6) Transfers; 7) Remedial Education; 8) Non-Degree Credentials (NDCs); 9) On-the-Job Training; 10) Military Education; 11) Correctional Education. For most categories, we analyze historical enrollment data, changes in completion rates, and evidence of long-term outcomes such as employment and earnings. Sources include federal and state datasets, institutional reports, and national surveys.

Where data is robust — such as with AP or community colleges — trends can be clearly interpreted. But in many domains analysis is hindered by significant gaps: outdated or irregular data collection, lack of standardized definitions, or the near-total absence of national tracking systems. Identifying these weaknesses, while limiting what can be said with confidence, helps to highlight critical blind spots in our understanding of how education and training systems function across the country, and lays a foundation for future research.

For Kirst’s reflections on his career, see this clip from a video produced by EdSource when he was awarded with their first Education Pioneer Award in 2017

Final Comments and Overall Observations

Contrary to the dominant narrative of decline in U.S. education, the analysis presented here reveals a system that has evolved substantially, and often successfully, over the last four decades. At least 73 percent of high school graduates proceed on to some form of postsecondary education soon after they graduate. The broader landscape of American education includes a combination of secondary and postsecondary education that tells a story of student growth and progress despite data gaps across multiple sectors.

Measurements of Success, Current and Future

Across the domains analyzed, several positive stories stand out:

  • Advanced Placement (AP) has seen massive expansion, rising to 23,000 schools and over 5 million exams annually while maintaining or improving pass rates. This signals genuine academic rigor amid democratized access.
  • Dual Enrollment has rapidly scaled, especially in community colleges, bringing college coursework to nearly 1 in 5 high school students nationwide. Lagging states are catching up fast, signaling sustained future growth. More data is needed concerning program quality and student outcomes.
  • Apprenticeships have surged by 73 percent in the last decade, expanding beyond construction into healthcare, IT, and utilities. Completion rates have returned to historical norms, suggesting the system is advancing, not just growing.
  • College and university 4-year graduation rates are at all-time highs, with significant gains since 2007. Degrees and certificates have increased at 2-year public colleges. A combination of policies has helped to cause this positive outcome.
  • Credentials and Certifications continue to grow rapidly and expand in scope. Licensed individuals are more than twice as likely to be employed full-time compared to their non-licensed peers.
  • Correctional Education reduces recidivism by 43 percent and increases employment rates post-release by 13 percent. These are among the strongest outcomes of any education or training program in the country, yet the programs remain underfunded and with fewer participants than in the past.

College Board, Central, n.d. & U.S. Department of Labor, 2021 

These positive trends are not isolated. Rather they are systemic. They reveal that American education, far from failing outright, has quietly adapted to serve millions of learners through flexible, applied, and workforce-linked pathways. However, these gains have not been matched by investment in measurement, trend data or evaluation:

  • High school Career and Technical Education has developed better career pathways and more linkages to postsecondary education. However, longitudinal data systems are underdeveloped to evaluate effectiveness.
  • Remedial education has changed dramatically in its concepts and approach, but benefits are unknown within existing data systems. • Transfer pathways, although central to the community college mission, remain inefficient. Most students transfer without earning a credential, and articulation failures cause widespread credit loss.
  • Credential programs have diversified and expanded, but tracking systems have not. Policymakers cannot yet distinguish between high-quality, market-aligned certificates and low-value credentials.
  • Military education remains opaque. Despite billions in funding, there is limited visibility into enrollment, skill conversion, or post-service outcomes due to data silos and security-driven limitations.
  • On-the-job training, though effective in isolated state evaluations, lacks any national data infrastructure-leaving the largest form of workforce training in the country virtually invisible. OJT is one of the best ways to provide applied and active learning.

The Policy Challenge Ahead

The takeaway is not that the U.S. education system is not broken. It is that it is incompletely understood. Key parts of the system—those with proven returns—are operating in the relative darkness or are misunderstood. Ifthe U.S. is serious about preparing citizens for economic resilience, civic participation, and lifelong learning, then we see three imperatives:

  1. Elevate what works. Scale programs with clear returns on investment such as AP, dual enrollment, apprenticeships, and correctional education into broader federal and state strategies, with targeted funding and accountability.
  2. Fix the data infrastructure. Build cross-agency systems that track participation, progression, and outcomes across all postsecondary pathways, not just for transfer to four-year degree programs. Statistics should be presented with separate categories for youth 15–25 years of age.
  3. Develop policies for a major overhaul of the existing systems. For example, Jobs for the Future (2021) proposes merging grades 11-14 into a single, integrated, and free system. It seeks to eliminate the rigid divide between high school and college, creating a new, equitable educational model that combines academic instruction with workplace learning for 16-to-20-year-olds, directly aligning with modern economic needs.

The U.S. education system is in transformation. In many sectors, postsecondary education is quietly succeeding. The challenge now is to bring success and weakness into full view, build the systems to support attainment, and close the distance between potential and performance.

Unforgetting Histories and Imagining Futures: The Lead the Change Interview with Celina German

In the third part of this month’s Lead the Change (LtC) interview, Celina German discusses her experiences researching the intersection of community-based youth leadership, after-school club affinity programming, and student activism history. German is a Ph.D. student in the Learning, Literacies, and Technologies program at Arizona State University. German is a recipient of the Student Travel Award from the Educational Change Special Interest Group (SIG) of the American Educational Research Association (AREA). The LtC series is produced by co-editors Dr. Soobin Choi and Dr. Jackie Pedota and their colleagues who lead the Ed Change SIG. A PDF of the fully formatted interview will be available on the LtC website.

Lead the Change (LtC): The 2026 AERA Annual Meeting theme is “Unforgetting Histories and Imagining Futures: Constructing a New Vision for Educational Research.” This theme calls us to consider how to leverage our diverse knowledge and experiences to engage in futuring for education and education research, involving looking back to remember our histories so that we can look forward to imagine better futures. What steps are you taking, or do you plan to take, to heed this call? 

Celina German: While working on my 2026 AERA submission, the notion of Sankofa (also visible in the conference logo) kept guiding me through the process. The Akan symbolism of a bird looking back and the word, literally translated as “go back and get,” made me think about what one returns to as part of the process of going forward. As a former high school English teacher and co-advisor of the Black Student Union, my heart also remembers all the great work that is part of the Summer Sankofa program at Arizona State University. My educational background informs the academics I want to participate in. 

Source: Arizona State University website

I carry into this work my identity as my family’s first and only birthright citizen. As I navigated the U.S. education system (PK12) as a Romanian-American, gender-question young woman, I saw the unhealthy relationship between whiteness, patriarchal logics, and academic achievement. To engage in coalition work, I deeply reflected (and continue to reflect) on what my positionality and actions say about liberation. My identity hung in the balance of being the only American in a family of naturalized and permanent residents, while at school, I was learning in real time my racialized identity and how others interpreted it. Growing up in southcentral Indiana around very few Romanians, I learned very quickly the gradation of whiteness and how multicultural spaces, like my swim team, filled with mostly first-generation American kids like me, were more accepting of me than most of my educational leaders. However, I thrived in leadership roles despite what adults expected of me. 

I bring this worldview to the interviews, research partnerships, and organizing efforts to 1) acknowledge how fraught multicultural coalitions’ history has been in America, and it is with the mindset to 2) recognize that futuring for education is rooted in trust and empathy. We don’t dream with abandon with those whom we are unsure of, and I try to speak with that honesty and humility in the liberation work I engage in. It is not always well-received, and I am constantly learning how to leverage the privilege I have to ensure that those I care about are heard. However, the first step I take is recognizing that all communities have tremendous privilege.

For those reasons, the critical race feminism and transnational frameworks I operate within were part of a journey of learning about my love for critical and real U.S. history (read: Black, Indigenous, Immigrant history). Still, I would not have gotten there alone without the multitude of college professors who engaged me with what I later learned was at the core of Black studies and Ethnic studies curricula. Therefore, the research I do, which I see as a labor of love, explores the history of antiracist educational activism. To better understand the problems we face today, I look back through high school yearbooks, archives, and oral histories to understand what the youth of the past did, attempted, and did not do to transform school structures.

LtC: What are some key lessons that practitioners and scholars might take from your work to foster better educational systems for all students?

CG:  Part of my intellectual commitments towards educational change is writing alongside folks whose genius deserves to be heard and recognized, whether in the academic canon or in community outlets. The good fight is happening in the Black Student Unions (BSU), where advisors are engaging in fugitive mentorship and young people are demanding more of their school sites through an art-based YPAR inquiry (German, Smith, Berard, & Wilkerson, 2026; German, Nguyen, Joyner, & Johnson, 2026). To foster better educational systems, listening to practitioners and students for their insights into school system leadership is crucial. 

In particular, young people in cultural affinity groups, such as BSU, M.E.Ch.A., or AAPISU, are extremely gifted in their critical consciousness of their leadership identities and in their understanding of the inner workings of school power dynamics. Expanding the definition of educational leaders to include student leaders of color, especially women of color, is the focus of my research. If young people are not part of that school-improvement feedback loop or act only as consultants, we are not engaging the school community that the administration aims to serve. Enacting changes because one is listening to young people in these elected roles is my vision of transformative school leadership. 

Part of how I listen is understanding how young people are mentored in out-of-school or after-school programming. I aim to explore how adults co-conspire with youth to bring about educational change. Therefore, I had the opportunity to examine systemic designs for the equity director role through job descriptions. Dr. Ishmael Miller and I researched how institutional logics shape the role of equity directors. Miller’s work reflected on the lived realities of Equity Directors, either through reflexive accounts or historical inquiry (Miller, 2026a); (Miller, 2026b). His work is inspiring me as I explore leadership historically through a review of high school yearbooks illustrating BSU activism. Learning more about non-traditional educational leaders has broadened my perspective on organizational change in community partnerships and out-of-school-time youth organizations.

Lastly, I explore the limits of qualitative methods, such as interviewing, to see where dialogue about educational change can occur across differing, layered identities. Dr. Franklin-Phipps and I are using art to speculate Black educational futures (German and Franklin-Phipps, 2026). Our art inquiry is not to resolve or reach consensus, but to embrace the change needed to keep framing hope when we see sites of Black suffering (Dumas & Ross, 2016). Expanding my methods has inspired me to push the limits of positionality and reflexivity while doing coalition work in the academy.  

LtC: What do you see the field of Educational Change heading, and where do you find hope for this field for the future?

CG: I find hope for educational change in young people’s responses to adult-led decisions. Whether a student responds in rage or profound patience, that hope compels me to muster the courage I have as an adult co-conspirator to reconcile what can be mended. I see how educational change is still addressing adultism and rewiring frameworks, so youth voice is not seen as performative. The roles of youth in elected leadership, such as school boards, serve as a weathervane of progress in some districts. I think seeing young people presenting at AERA is expanding the horizons of YPAR research.

I also derive hope from all the community youth work organizers who have been in this work longer than I have. Their creativity in structures that run counter to the leadership development of young people makes me refuse to see the tunnel vision with which academia portrays it. Seeing how strong, mutually beneficial research-practice partnerships engage communities of practice is a step in the right direction for the educational change scholarship.  

References

Dumas, M. J., & Ross, K. M. (2016). “Be real black for me” imagining BlackCrit in education. Urban Education, 51(4), 415–442.

German, C., & Franklin-Phipps, A. (2026). Speculating Black Educational Futures: Wit(h)nessing Interviews Through Politics of Knowing. Special Issue. Reconceptualizing Educational Research Methodology (under review).

German, C., Smith, S. L., Berard, L., & Wilkerson, R. (2026). Fugitive Mentorship and Cultivating Expansive Futures: A Collaborative Autoethnography by Black Student Union Advisors. Current Issues in Education, 27(1). https://doi.org/10.14507/cie.vol27iss1.2384

German, C., Nguyen, L., Joyner, J., Samuel, C., Johnson, A. (2026). Creatively Investing in Today’s Changemakers: Setting a YPAR Precedent for Empowered Student Leadership in Our Black Student Union. Journal of Participatory Research Methods. (under review) 

Miller, I. A. (2026a). Refuge from The Weather: An Organizational Autoethnography about Black Male Administrator Fugitive Space. Equity & Excellence in Education, 1–17. https://doi-org.ezproxy1.lib.asu.edu/10.1080/10665684.2026.2614956

Miller, I. A. (2026b). Historicizing the Equity Director Position: Black Community Advocacy by an Intergroup Relations Specialist. Journal of School Leadership, 36(1), 21–45.

Reed, E., German, C., Geraghty, P., Brown, K., & Carmichael, J. (2025). Editorial Introduction: Reflecting on Our Shared Educational Futures: A Global Need to Belong for Transformative Learning. Current Issues in Education, 26(2). https://doi.org/10.14507/cie.vol26iss2.2475.

Unforgetting Histories and Imagining Futures: The Lead the Change Interview with Paul Campbell

In the first part of this month’s Lead the Change (LtC) interview, Dr. Paul Campbell discusses his experiences researching educational change, leadership, and policy. Campbell is an Assistant Professor of Educational Administration and Leadership at The University of Hong Kong and President-Elect of the International Congress for School Effectiveness and Improvement (ICSEI). His research focuses on how diverse approaches to knowledge production and research engagement shape reform, and offer new ways for understanding what it means to lead, be a leader, and exercise leadership. Dr. Campbell is a recipient of the Emerging Scholar Award. The LtC series is produced by co-editors Dr. Soobin Choi and Dr. Jackie Pedota and their colleagues at the Educational Change Special Interest Group of the American Educational Research Association. A PDF of the fully formatted interview will be available on the LtC website.

Lead the Change (LtC): The 2026 AERA Annual Meeting theme is “Unforgetting Histories and Imagining Futures: Constructing a New Vision for Educational Research.” This theme calls us to consider how to leverage our diverse knowledge and experiences to engage in futuring for education and education research, involving looking back to remember our histories so that we can look forward to imagine better futures. What steps are you taking, or do you plan to take, to heed this call? 

Paul Campbell: The 2026 AERA theme invites us to remember the histories that have shaped our field while imagining futures that are more inclusive, equitable, and transformative. My scholarship begins with the belief that we cannot imagine new futures without first acknowledging the epistemic closures of the past. Educational leadership and change have long been dominated by Anglo-American traditions, privileging certain ways of knowing while marginalising others. To move forward, we must confront this history directly and commit to advancing epistemic diversity.

Source: The University of Hong Kong website

In my recent paper with Sefika Mertkan (Campbell & Mertkan, 2025), we argue that while geographical diversification of scholarship is a foundational step, it is insufficient on its own. What is more critical is epistemic diversity; the recognition and mobilisation of multiple epistemological traditions. This requires interrogating who produces knowledge, what epistemologies are applied, how knowledge is circulated and cited, and whose voices are solicited. As we wrote, “advancing epistemic diversity is more critical than geographical diversification in liberating the educational leadership knowledge base from the Anglo-American hegemony.” Remembering this history of epistemic dominance is essential if we are to imagine futures where pluriversal perspectives thrive. Only then can new possibilities emerge for how we understand the nature and purpose of leading educational change, and only then can more just realities for learners and communities thrive.

My work also examines how supranational discourses shape our understanding of leaders, leading, and leadership in policy, research, and practice. In ‘Leadership for Learning: A Policy Analysis of the GEM Report 2024’ (Campbell & Sum, 2026), Nicola Sum and I show how global accountability frameworks often fail to take local realities into account. By applying a leadership-for-learning lens, we highlight pathways to reimagine futures where global frameworks are translated into contextually responsive practices. This reflects a desire to bridge histories of epistemic dominance with futures of inclusive, situated knowledge.

Taken together, this body of work reflects both optimism and frustration. Optimism, because there are genuine opportunities to rethink how educational change is understood and enacted. Frustration, because leaders are often positioned within policy-saturated environments that constrain their agency, and because knowledge production practices too often reproduce dominant paradigms rather than center the voices of educators and leaders themselves. The increasingly complex realities facing school leaders, shaped by global norms and demands, local contexts, and broader socio-political realities, require us to rethink not only what leadership and change are, but also how we study and support them.

Heeding the call of the 2026 AERA theme, therefore, means committing to a dual task: remembering the exclusions and closures of the past, while actively constructing futures that are plural, inclusive, and transformative. My scholarship seeks to contribute to this by interrogating the structures that sustain epistemic hegemony, amplifying diverse voices and thinking, and reimagining leadership and the leadership of educational change as a relational, educative, and contextually grounded practice. In doing so, I hope to support a field of educational change that is globally relevant and locally meaningful; one that ultimately serves the needs of students, educators, and communities in more just, equitable, and necessarily diverse ways.

LtC: What are some key lessons that practitioners and scholars might take from your work to foster better educational systems for all students?

PC:  “I’m working on the margins in order to shake the core” was how one principal, in my study of principals’ life histories in relation to education reform, described the theme of their professional life and work. This articulation captures the complex realities of how leaders, their leadership, and change are positioned within systems, and the consequences this has for the enactment and possibilities of educational change. From this and related work, several lessons emerge for both scholars and practitioners.

Collaboration must be understood as socially and culturally situated. In ‘Leading Collaborative Educational Change: A Critical Policy Analysis of Leadership and Governance in Hong Kong Schools’ (Campbell & Kam, 2026), I show how hierarchical traditions, accountability demands, and conflict avoidance complicate the intentions and enactment of collaboration. Principals navigate tensions between policy ideals and lived realities, revealing that meaningful collaboration requires relational trust, cultural sensitivity, and reflexive leadership. This highlights the participatory dynamics of collaboration: who is involved, how power is exercised, and how goals are negotiated. Collaboration cannot, therefore, be reduced to structural arrangements or compliance mechanisms; it must be cultivated through participatory processes that respect cultural norms and empower diverse voices.

Agency is central to reimagining leadership in complex systems. In ‘“I’m Working on the Margins in Order to Shake the Core”: Educational Leadership, Agency, and the Reimagining of the Principalship’ (Campbell & Kam, 2026), principals describe how they enact agency through temporal, experiential, and relational dynamics. The agency framework articulated in this work, temporal (drawing on reform histories and aspirations), experiential (learning through practice and mentorship), and relational (building trust and mobilising communities) dynamics, offers a lens for understanding how leaders navigate, reinforce, or resist systemic constraints. For scholars, this challenges dominant conceptions of leaders’ positioning within and against system structures and constraints, and for leaders and educators in sites of practice, it underscores the need to support leaders in exercising agency within, with, and against systemic structures.

Organisational and socio-cultural dynamics must also be foregrounded. Accountability regimes, governance arrangements, and resource allocation shape the possibilities for collaboration and agency. At the same time, socio-cultural dynamics, comprised of hierarchical traditions, community expectations, and cultural dispositions toward conflict avoidance, mediate how leadership is enacted. Leaders must constantly negotiate these forces, balancing compliance with innovation and authority with relational trust. For educators, this means recognising that leadership is enacted within layered organisational and cultural contexts. For scholars, it calls for analyses that move beyond abstract models to examine how leadership is lived and contested in specific contexts.

Innovation in processes of change must also be conceptualised as situated and contested. In ‘Conceptualizing Innovation in Education: Implications for School Leadership and Change’ (Campbell et al., 2026), our editorial team and authors identified five themes requiring consideration for the leadership of innovation: innovation as relational, leadership as enabler or constraint, tensions between policy and practice, supportive cultures, and equity. Innovation is not a neutral construct; it reflects power relations and dominant epistemologies. For policymakers and professionals in sites of practice, this means developing organisational cultures of trust and inclusion. For scholars, it requires interrogating whose knowledge is valued and how innovation intersects with equity and justice.

Together, these insights highlight that educational change is shaped by participatory dynamics, organisational structures, socio-cultural contexts, and the agency of leaders. To reach better systems for all students, we must support leaders as active agents of change who navigate this dynamic complexity and are appropriately prepared and supported to do so.

LtC: What do you see the field of Educational Change heading, and where do you find hope for this field for the future?

PC: Despite persistent challenges, and what seems like a relentless intensification of complexity in education systems, I find hope in several directions.

First, epistemic diversity. Scholars are increasingly interrogating citational practices, editorial structures, and epistemic injustices, creating space for alternative epistemologies to shape the theoretical core of our fields. This movement holds promise for dismantling universalist narratives and cultivating pluriversal perspectives. It also signals a shift toward valuing multiple ways of knowing and being, and toward scholarship that is globally open but locally meaningful.

Second, leadership is reframed as educative, relational, and political. By moving beyond managerial and compliance-driven framings, we can reimagine school leaders as agents of justice, democratic ideals, and community empowerment. My work with school leaders in Hong Kong demonstrates that even within high-accountability systems, leaders exercise agency to sustain trust, adapt practices, and preserve professional identity. These acts of agency, often enacted “on the margins,” provide seeds of transformation that can “shake the core” of entrenched structures. They remind us that leadership is so much more than positional authority; it is a practice of agency, enacted through relationships and values.

Third, innovation as relational and inclusive. As our editorial in School Leadership & Management (Campbell, MacGregor & Sum, 2026) argued, innovation must be understood as a situated process of change rather than a discrete product. It is inherently political, reflecting epistemologies, power relations, and assumptions about whose knowledge counts. Equity and inclusion cannot be treated as add-ons; they must be central to how innovation is defined, led, and legitimised. When innovation is framed this way, it becomes a vehicle for addressing systemic inequities and fostering cultures of collaboration. This is where I see the field heading: toward a more nuanced, contextually grounded, and justice-oriented understanding of educational change.

Fourth, collective capacity. Ultimately, my hope lies in the collective capacity of scholars, policymakers, and professionals in sites of practice to remember histories of exclusion, interrogate present structures of dominance, and imagine futures of inclusivity and equity. The provocations we posed in the editorial mentioned earlier, innovation as process, leadership as dilemma space, and innovation as political, are invitations to debate, but also to act. They call for research and practice that is conceptually plural, empirically grounded, and ethically serious.

By centering agency, collaboration, and epistemic diversity, educational change can become truly transformative. The future of the field depends on our willingness to embrace complexity, to resist reductive framings, and to cultivate leadership and change that are relational, inclusive, and equity-oriented. In this, I find hope: that even amid constraints, leaders and scholars can work on the margins to shake the core and, in doing so, reimagine futures that are more just and humane.

References

Campbell, P. & Kam, Y. C. (2026). Leading Collaborative Educational Change: A Critical Policy Analysis of Leadership and Governance in Hong Kong Schools, Leadership and Policy in Schools, 1-21, https://doi.org/10.1080/15700763.2026.2636612 

Campbell, P., Macgregor, S. & Sum, N. (2026). Editorial: Conceptualizing Innovation in Education: Implications for School Leadership and Change, School Leadership and Management, 1-5. https://doi.org/10.1080/13632434.2026.2631919

Campbell, P. & Sum, N. (2026). Leadership for Learning: A Policy Analysis of the Global Education Monitoring Report 2024 and Its Local Implications for School Leadership, Management in Education, 1-9. https://doi.org/10.1177/08920206261430580

Campbell, P. & Kam, Y. C. (2026). “I’m Working on the Margins in Order to Shake the Core”:  Educational Leadership, Agency, and the Reimagining of the Principalship, Journal of Educational Administration, 1-26. https://doi.org/10.1108%2FJEA-06-2025-0246

Campbell, P. & Mertkan, S. (2025). Geographical Diversification of Educational Leadership Research: Gaps in Our Understanding, Management in Education, 1-7. https://doi.org/10.1177/08920206251407030