There is a wealth of information and guidance being produced by universities and sector-wide bodies. Here, we have curated a list of some of the key resources that you may find of interest.
- The Russell Group has developed a set of principles to help universities ensure students and staff are ‘AI literate’ so they can capitalise on the opportunities technological breakthroughs provide for teaching and learning.
- The Quality Assurance Agency (QAA) has developed guidance on how to approach the assessment of students in a world where students have access to generative AI tools and ran a webinar series in 2023 on ChatGPT (with attendant resources).
- This Jisc primer is intended as a short introduction to generative AI and its implications on education.
- This UNESCO quick start guide offers an introduction to ChatGPT, raising some of the main challenges and ethical implications of AI in higher education and offering practical steps that higher education institutions can take.
- UNESCO’s publication, Artificial Intelligence and Education: Guidance for Policy-makers, aims to generate a shared understanding of the opportunities and challenges that AI offers for education, as well as its implications for the core competencies needed in the AI era.
- UNESCO's guidance presents an assessment of potential risks GenAI could pose to core humanistic values that promote human agency, inclusion, equity, gender equality, linguistic and cultural diversities, as well as plural opinions and expressions.
- An Advance HE project exploring the impact of Artificial Intelligence tools on assessment as well as practice and policy in Higher Education focuses specifically on authentic assessment.
- This open crowdsourced collection by #creativeHE brings together potential alternative uses and applications of AI. that could make a difference and create new learning, development, teaching and assessment opportunities.
- This paper provides guidance for using AI to quickly and easily implement evidence-based teaching strategies that instructors can integrate into their teaching.
- This paper explores the current debates around generative AI within education, the need for a broader perspective on AI's role in this domain and proposes a framework for AI education emphasising a responsible approach.
- This paper proposes an AI Ecological Education Policy Framework to address the implications of AI integration in university teaching and learning, based on a study of the perceptions and implications of text generative AI technologies in Hong Kong universities
- This UCL resource provides guidance on how to adapt assessment to better support learning. It also explores how to accommodate the required changes that might arise from the global use of generative AI.