AI

What I learned from 150 interviews with instructional designers

Practical strategies for leveraging AI’s strengths & avoiding its weaknesses

Accelerating the adoption of artificial intelligence across the tertiary education sector.

Artificial intelligence is already transforming education, the workplace, and society.   These principles have been created by Jisc in partnership with the Association of Colleges (AoC) Technology Reference Group. They are intended for colleges to adopt as a statement of intent, guiding strategic direction. They aim to help colleges navigate challenges and maximising the opportunities […]

On Tuesday 27th February, we had our third community meeting. We had a great group who joined us for an insightful discussion around how to provide learners with guidance around AI. The first half of our session was led by AI Technologist, James Hodgkinson, who began with a poll, asking whether their institutions had produced […]

We've had lots of interest in the best way to provide advice to students in colleges.  In this blog post we’ve created an example of learner advice.

AI is of course much more than just generative AI, and a full discussion around AI literacy would need to cover more traditional AI uses too, for example predictive models, adaptive learning, image recognition, recommendation engines and many other tools and techniques.  Generative AI is the hot topic now though, so the groups discussion focused […]

How can AI support students’ writing processes without taking the place of writing or thinking? I have been a volunteer advisor on an app developed by teachers, MyEssayFeedback.ai. I wanted to share a little about why this approach makes sense to me as. way to support both AI literacy and students’ development of their own words and ideas.

Kathryn Conrad[Critical AI 2.1 is a special issue, co-edited by Lauren M.E. Goodlad and Matthew Stone, collecting interdisciplinary essays and think pieces on a wide range of topics involvin

Instant notes, flashcards, quizes, and more.

Voters are concerned about AI models using incomplete data to make discriminatory predictions.

An update to our map of the current state-of-the-art

A short history of labor.

I write daily, often for hours at a time. I’m an author of fiction and nonfiction, and even when I’m not writing something for publication I fill notebooks with ideas and frequently ill…

Researchers put 26 prompts to the test and rated them on quality and correctness. Here are the best 11 to use in your own workflow.

The Generative AI Product Tracker lists generative AI products that are either marketed specifically towards postsecondary faculty or students or appear Stay up-to-date with the emerging tech for higher education. Explore our Product Tracker tool for information, pricing models, key features, and more on the generative AI tools for teaching, learning, and research.

Generative AI has quickly gained a significant foothold in academia, and is now used widely for teaching, learning, and research purposes. New products are appearing so rapidly that just keeping up with them is difficult, and understanding the value of individual products in a now-crowded marketplace is a major challenge for end users and for university CIOs, IT departments, and others involved in decision making about which products will be supported and/or licensed for campus users. With the rapid development of new generative AI tools for teaching and learning, we’re releasing a new product tracker to share up-to-date information on the latest tools and products on the market for higher education.

Now is the time to progress to program-level conversations around curriculum and learning outcomes, Kathleen Landy writes.