International Frameworks
With the right opportunities we can become AI makers, not takers
Michael Webb. FE Week. February 21, 2025.
The article reflects on the UK’s AI Opportunities Action Plan, aiming to position the country as a leader in AI development rather than merely a consumer. It highlights the crucial role of education in addressing AI skills shortages and emphasizes the importance of focusing both on the immediate needs around AI literacy, but also with a clear eye on the future, as the balance moves to AI automation and to a stronger demand for uniquely human skills.
Living guidelines on the responsible use of generative AI in research : ERA Forum Stakeholder’s document
European Commission, Directorate-General for Research and Innovation. March 2024.
These guidelines include recommendations for researchers, recommendations for research organisations, as well as recommendations for research funding organisations. The key recommendations are summarized here.
Industry Collaborations
OpenAI Announces ‘NextGenAI’ Higher-Ed Consortium
Kim Kozlowski. Government Technology. March 4, 2025.
OpenAI has launched the ‘NextGenAI’ consortium, committing $50M to support AI research and technology across 15 institutions, including the University of Michigan, the California State University system, the Harvard University, the MIT and the University of Oxford. This initiative aims to accelerate AI advancements by providing research grants, computing resources, and collaborative opportunities to address complex societal challenges.
AI Literacy
A President’s Journey to AI Adoption
Cruz Rivera, J. L. Inside Higher Ed. March 13, 2025.
José Luis Cruz Rivera, President of Northern Arizona University, shares his AI exploration journey. « As a university president, I’ve learned that responsible leadership sometimes means […] testing things out myself before asking others to dive in ». From using it to draft emails, he then started using it to analyze student performance data and create tailored learning materials, and even used it to navigate conflicting viewpoints and write his speechs – in addition to now using it for daily tasks.
Teaching and Learning
AI Tools in Society : Impacts on Cognitive Offloading and the Future of Critical Thinking
Gerlich, M. SSRN. January 14, 2025.
This study investigates the relationship between AI tool usage and critical thinking skills, focusing on cognitive offloading as a mediating factor. The findings revealed a significant negative correlation between frequent AI tool usage and critical thinking abilities, mediated by increased cognitive offloading. Younger participants exhibited higher dependence on AI tools and lower critical thinking scores compared to older participants. Furthermore, higher educational attainment was associated with better critical thinking skills, regardless of AI usage. These results highlight the potential cognitive costs of AI tool reliance, emphasising the need for educational strategies that promote critical engagement with AI technologies.
California went big on AI in universities. Canada should go smart instead
Bates, S. University Affairs. March 12, 2025.
In this opinion piece, Simon Bates, Vice-Provost and Associate Vice-President for Teaching and Learning at UBC, reflects on how the ‘fricitonless efficiency’ promised by AI tools comes at a cost. « Learning is not frictionless. It requires struggle, persistence, iteration and deep focus. The risk of a too-hasty full scale AI adoption in universities is that it offers students a way around that struggle, replacing the hard cognitive labour of learning with quick, polished outputs that do little to build real understanding. […] The biggest danger of AI in education is not that students will cheat. It’s that they will miss the opportunity to build the skills that higher education is meant to cultivate. The ability to persist through complexity, to work through uncertainty, to engage in deep analytical thought — these are the foundations of expertise. They cannot be skipped over. »
We shouldn’t sleepwalk into a “tech knows best” approach to university teaching
Mace, R. et al. Times Higher Education. March 14, 2025.
The article discusses the increasing use of generative AI tools like among university students, with usage rising from 53% in 2023-24 to 88% in 2024-25. It states that instead of banning these tools, instructors should ofcus on rethinking assessment strategies to integrate AI as a collaborative tool in academic work. The authors share a list of activities, grounded in the constructivist approach to education, that they have successfully used in their lectures that leverage AI to support teaching and learning.
Accessibility & Digital Divide
AI Will Not Be ‘the Great Leveler’ for Student Outcomes
Richardson, S. and Redford, P. Inside Higher Ed. March 12, 2025.
The authors share three reasons why AI tools are only deepening existing divides : 1) student overreliance on AI tools; 2) post-pandemic social skills deficit; and 3) business pivots. « If we hope to continue leveling the playing field for students who face barriers to entry, we must tackle AI head-on by teaching students to use tools responsibly and critically, not in a general sense, but specifically to improve their career readiness. Equally, career plans could be forward-thinking and linked to the careers created by AI, using market data to focus on which industries will grow. By evaluating student need on our campuses and responding to the movements of the current job market, we can create tailored training that allows students to successfully transition from higher education into a graduate-level career. »