AI

The rapid emergence of new artificial intelligence tools creates both challenges and opportunities for higher education. Check out these resources to help you navigate this new educational landscape.

One university grapples with how to teach using large-language models.

In our essay, we discuss equity implications surrounding the usage of generative artificial intelligence (AI) in higher education. Specifically, we explore how the use of such technologies by students in higher education such as, but not limited to, multi-language learners, students from marginalized linguistic communities, students with disabilities, and low-income students has the potential to facilitate transformative learning. We describe how such tools, when accessible to learners, can help address barriers that prevent students from fully engaging in their learning. Additionally, we explain how the usage of generative AI has the potential to alter the lens through which students view their learning, countering assumptions and broadening what can be considered an “appropriate” use of assistive technologies to support learning for diverse students. We also address various limitations of generative AI with regards to equity such as the requirement to pay to access some of the applications, as well as linguistic and other biases within the outputs produced, reflective of the data used to train the tools. Throughout this piece, we share insights from a study of undergraduate students’ perspectives and usage of generative AI and potential future directions for the technologies. This essay aims to increase awareness of the opportunities and challenges around who benefits and who is excluded when generative AI is used within colleges and universities.

Tell us if these everyday technologies are AI and see how you compare to the experts.

AI is helping us work up to 41% more effectively, according to recent Bain research. We review the platforms to consider for ourselves and our teams.

A series of instructional web pages for instructors and teaching teams about using AI tools for teaching and learning.

Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs like OpenAI’s GPT-4 or Groq.

Algorithms and humans both contribute to bias in AI, but AI may also hold the power to correct or reverse inequities among humans.

In this informative guide we discuss how a student can use AI in an ethical, fair, and lawful manner to assist with learning and studying.

Tim Fawns, Monash University

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

There’s something of a paradox that has defined my experience with artificial intelligence in this particular moment. It’s clear we’re witnessing the advent of a wildly powerful technology, one that could transform the economy and the way we think about art and creativity and the value of human work itself. At the same time, I can’t for the life of me figure out how to use it in my own day-to-day job. So I wanted to understand what I’m missing and get some tips for how I could incorporate A.I. better into my life right now. And Ethan Mollick is the perfect guide: He’s a professor at the Wharton School at the University of Pennsylvania who’s spent countless hours experimenting with different chatbots, noting his insights in his newsletter One Useful Thing and in a new book, “Co-Intelligence: Living and Working With A.I.” This conversation covers the basics, including which chatbot to choose and techniques for how to get the most useful results. But the conversation goes far beyond that, too — to some of the…

Updates for old friends, and for new followers some links back to where we've been

Introduction During the 2024 Winter Quarter, the Center for Educational Effectiveness surveyed all undergraduate students (N= ~31,000) about their perceptions, uses, and future value of Generative AI (GenAI). Approximately 4% (N=1361) responded. No identifiable information was collected, and all respondents were advised that their responses would be completely anonymous.

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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 […]