Category: Artificial Intelligence

Nearly one in four first-year college students leaves higher education within a year, often due to financial pressures and difficulties adjusting to college. Universities can use technology to identify struggling students, increase participation, offer flexible study options, improve accessibility, and …

For AI to progress and be effective, it needs to draw upon the best of human thought and the best of human thought is likely ahead of us.

https://www.ecampusnews.com/ai-in-education/2026/10/02/why-ai-doesnt-replace-education-it-demands-it/…

Language models have become ubiquitous in universities without being normalised. Mark Carrigan argues this has produced a multidimensional crisis of trust, and a dilemma in which adapting to AI and integrating AI undercut each other. He proposes strategic under-integration: building …

Generative AI is challenging assessment in higher education, raising concerns about whether instructors can distinguish student writing from AI-generated essays. Much of the debate focuses on identifying signs of AI writing and whether detection software can reliably establish authorship. Learn …

Instead of giving your real email address to random websites, use email aliases or temporary addresses to protect your privacy. These tools reduce spam, limit tracking, and make it easier to identify which services share or misuse your address.

https://www.makeuseof.com/stop-giving-websites-your-real-email-address…

ChatGPT, Claude, and NotebookLM all support studying, from explaining concepts to summarizing readings and preparing for exams. After testing all three for a semester, the author finds that one stands out as particularly well suited to how students actually study.…

This article explores how AI hologram avatars are being used in health education to create realistic, repeatable practice scenarios for students.

https://www.techlearning.com/learning/stem/teaching-with-ai-holograms…

Rather than focusing on catching students after the fact, educators need to consider what they are asking them to do, and is it actually worth doing?

https://www.techlearning.com/technology/ai/stop-trying-to-detect-ai-start-creating-better-assignments…

AI has reached nearly every corner of education, though students, teachers, and leaders all experience it from a different angle.

https://edtechinsiders.substack.com/p/5-takeaways-from-microsofts-global…

Teachers are using AI to develop lesson plans, and in some districts, AI chatbots give students feedback on their work. Meanwhile, the research around how AI can help students is extremely limited.

https://www.kqed.org/mindshift/66673/schools-are-experimenting-with-ai-with-little-evidence-or-policy-to-guide-them…

This research article frames generative AI not as a replacement for teaching, but as a pedagogical mediator that can reshape instructional design, agency, and learning roles.

https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2026.1856839/full…

This APA report is a timely reminder that clicks, screen time, and platform engagement should not be confused with meaningful learning outcomes.

https://www.apa.org/news/press/releases/2026/09/education-technology-engagement…

A practical piece arguing that course design should move toward uncertainty, critical AI partnership, and real-world problem ownership rather than simple answer production.

https://www.timeshighereducation.com/campus/three-shifts-course-design-update-pedagogies-ai-era…

This article makes the case for embedding AI literacy directly into course design so that students learn to use AI critically, ethically, and meaningfully.

https://www.timeshighereducation.com/campus/make-ai-literacy-foundational-element-your-course-design…