AI is making a virtual laboratory for human learning possible, opening the door to testing ideas we could never afford or safely attempt with actual students.
https://www.thehumanist.xyz/p/special-report-ai-could-radically…
Characterizing diverse student behaviors, interactions, and perceptions with GAI-augmented learning analytics tool
This study identifies distinct patterns in how programming students use AI-powered learning analytics to explore their own and peers’ progress. Findings highlight the need for personalized, adaptive AI feedback tailored to students’ engagement patterns and learning stages.
Survey Reveals What Students Think About AI
A new Dartmouth survey reveals an interesting contradiction: college students say they use AI primarily to support learning, but believe their peers are more likely to use it to cut corners.
https://phys.org/news/2026-10-survey-reveals-students-ai.html…
Transforming the Institution through Faculty Learning Communities
Dawson College’s Faculty Learning Communities offer a sustainable, collaborative approach to faculty professional development, with promising results since their introduction in 2023.
https://eductive.ca/en/resource/transforming-the-institution-through-faculty-learning-communities/…
Why AI in Education Is Four Things, Not One
Many higher education institutions treat artificial intelligence (AI) in education as a single category. A four-layer framework helps institutional leaders distinguish AI adoption from AI readiness and identify gaps in AI policies and investments, including limited support for profession-specific AI …
The ethical application of AI in learning analytics
Jisc’s updated learning analytics code of practice provides ethical guidance on using AI to monitor student engagement, identify learners needing support, and enable early interventions while ensuring human oversight.
https://www.jisc.ac.uk/news/all/the-ethical-application-of-ai-in-learning-analytics…
What High School Debaters Have Really Been Learning About AI: You Won’t Even Believe it
Stefan Bauschard analyzes 10,000 debates on hyperscale data center construction, exploring the key arguments, controversies, and competing perspectives. The article highlights both the complexity of the issue and how structured debate reveals critical points of disagreement.
https://stefanbauschard.substack.com/p/what-high-school-debaters-have-really…
‘Being to Learn’ Rather Than ‘Learning to Be’: Shifting Thinking About Authentic Assessment
This thought-provoking article challenges traditional approaches to authentic assessment, encouraging educators to rethink how real-world activities help students develop professional identities and meaningful learning experiences.
The Difference Between AI-Proof and AI-Authentic Engineering Education
An engineering educator presents a four-stage approach to redesigning learning activities, moving beyond attempts to make assignments AI-proof toward authentic tasks that strengthen students’ independent reasoning.
Integrating Generative AI and Reference Management Tools in Assignment Writing: Insights from an ODeL Context
This study examines how generative AI and reference management software can support academic writing in online and distance education, offering insights into research skills, citation practices, and responsible technology integration.
https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1954585/full…
The Harvard AI Tutor Study, Eleven Months Later
A critical reassessment of Harvard's widely discussed AI tutoring study, comparing its findings with newer research showing that AI tutors can improve or undermine learning depending on how they are designed and used.
https://etcjournal.com/2026/10/17/the-harvard-ai-tutor-study-eleven-months-later/…
Tests Show AI *Can* Design Like an Expert Instructional Designer, So What Next?
The moving AI frontier in instructional design, and what it means for our roles & jobs.
https://drphilippahardman.substack.com/p/tests-show-ai-can-design-like-an…
Exploring AI-resistant assessments: insights from Large Language Models creating and completing their own research assessments
This study tests whether AI systems can design and complete supposedly AI-resistant assessments, finding that oral components, live participation, and staged assignments offer promising ways to verify authentic student learning.
Beyond the bluebook: a calibrated framework for redesigning construct-valid assessment in higher education in the age of generative AI
This recent research proposes rethinking assessment in the age of generative AI by focusing on whether assignments genuinely measure intended learning outcomes rather than relying solely on traditional exams or AI detection.
https://www.tandfonline.com/doi/full/10.1080/02602938.2026.2747110?af=R…
Our minds did not evolve for AI
AI is mental junk food: tasty and tempting, but ultimately unhealthy: a cognitive hot dog.
https://buildcognitiveresonance.substack.com/p/our-minds-did-not-evolve-for-ai…