Redesigning learning experiences, not just adding tools, can build faculty confidence and develop students’ critical, ethical, and applied AI literacy

As generative artificial intelligence use expands, colleges and universities need clearer ways to recognize when support becomes dependence and how to

AI has arrived as a powerful, pervasive reality, bringing with it a whirlwind of innovation, new tools, and pressing questions. Here are five practical steps to help your institution navigate this rapidly evolving landscape and accelerate its path to real transformation.

Asking Gen Z to decide what career to pursue is an increasingly difficult task. Experts say there is “absolutely no occupation that is completely immune from AI”.

Setting up AI-free ‘sanctuaries’ could allow us to reap the technology’s benefits while offering vital safeguards to our cognitive capacities and privacy.

Part of the pitch for using AI at work goes like this: It’s like having a team of people to delegate your grunt work to, freeing you up to think strategically and maybe, just maybe, take a long lunch or head home early. Or maybe even be more productive, to make more money. It’s a nice idea!

A curated, constantly updated collection of AI in education research, news, frameworks, and practical resources.

The long read: I was a newcomer, negotiating all of usual classroom difficulties for the first time. Throwing AI into the mix felt like downing a coffee in the middle of a panic attack

The fast take-up of innovative technology risks creating a ‘two-speed system’, an Independent Schools Australia paper warns

A new study shows most university students who copy from AI are also plagiarising in other ways.

As generative artificial intelligence reshapes instructional workflows at colleges and universities, a four-level transparency framework can help educ

Why can’t language models write well?

The backlash to the growing use of the tech has led to an explosion in attempts to come up with 'AI-Free' logo that could be used globally.

AI can provide clear, polished responses. This signals to learners that deep mental engagement is no longer necessary.

AI might have ‘PhD-level’ intelligence. But substituting it for a PhD student sacrifices a special part of the academic ecosystem.

Microsoft has released a new research report warning that no single technology can reliably distinguish AI-generated content from authentic media, and that deepening reliance on any one method risks misleading the public.

In the age of AI, the true future of higher education lies not in replacing faculty but in freeing them to do what only humans can—build meaningful re

A young tech entrepreneur launched the tool Einstein this week, marketing it as a way to free students from busywork—and triggering robust faculty debate. Einstein’s creator says that was the whole point. After this story was published, Paliwal said he received a cease and desist letter from Instructure, which owns Canvas, and has since taken down Einstein’s website.

Across campuses, conversations about artificial intelligence are sometimes being framed by unease rather than enthusiasm. Leaders, faculty and student

The Typology of Generative AI Tools for Education provides educators with a list of generative AI tools arranged into nine categories that are currently being used in educational contexts. This typology follows the previously published Typology of Free Web-based Learning Technologies (Bower & Torrington, 2020) and the Typology of Web 2.0 Learning Technologies (Bower, 2015), representing the evolution of educational technology into the generative AI era. To create this typology, 211 educators from nine countries spanning early childhood through higher education completed a survey in late 2025 about their generative AI tool usage. Tools that were reported by two or more educators were included in the typology. A total of 50 unique AI Educational tools were included in the Typology, and have been arranged into nine overarching categories: General-Purpose Large Language Models, Image Creation Tools, Audio and Music Generation Tools, Video Generation Tools, Presentation Generation Tools, Research and Study Tools, AI Tutoring and Chatbots, Custom Education Tools, and Other Miscellaneous Tools. Brief descriptions and links are provided for each tool to support educators in making informed decisions about which tools might suit their teaching and learning contexts. The generative AI landscape is rapidly evolving, and it is noted that some tools offer functionality across multiple categories. This typology represents a snapshot of educator-reported usage patterns in 2025-2026, and offers educators a touchstone for the appropriate selection of Generative AI technologies in their teaching.