Using Generative AI Effectively in Higher Education explores how higher education providers can realise their role and responsibility in harnessing the power of generative artificial intelligence (GenAI) ethically and sustainably.
Using Generative AI Effectively in Higher Education explores how higher education providers can realise their role and responsibility in harnessing the power of generative artificial intelligence (GenAI) ethically and sustainably.
Sue Beckingham is a National Teaching Fellow and Associate Professor at Sheffield Hallam University, UK. Jenny Lawrence is Professor of Higher Education and Director of the Oxford Brookes Centre for Academic Enhancement and Development, UK. She is also Senior Fellow of SEDA, Principal and National Teaching Fellow. Stephen Powell is a freelance Higher Education consultant based in New Zealand and Principal Fellow of AdvanceHE. Peter Hartley is a freelance Higher Education consultant, National Teaching Fellow, and Visiting Professor at Edge Hill University, UK.
Inhaltsangabe
1. Using Generative AI effectively in Higher Education Part A: Institutional Strategies for Building Generative AI Capability2. Pedagogy and Policy in a Brave New World: A case study on the development of Generative AI literacy at the University of Liverpool 3. Supporting inclusion in academic integrity in the age of GenAI Part B: Developing Generative AI Literacies4. Confidence enhancer, learning equalizer, and pedagogical ally: Exploring GenAI for students with English as an additional language 5. Integrating GenAI in Higher Education: Insights, perceptions, and a taxonomy of practice 6. "Understood the assignment": A UX-led investigation into student experiences of GenAI Part C: Curriculum Design for a Generative AI Enabled World 7. Re-imagining Student Engagement in an AI-Enhanced Classroom: Strategies and Practices 8. The potential of AI text-to-image generation in medical education: The educator and students' perspective 9. Using Generative AI agents for scalable roleplay activities in the health sciences 10. Embracing GenAI in Education: A Path Towards Authentic Assessment Part D: Assessment in a Generative AI Enabled World11. Generative AI and the implications for Authentic Assessment 12. Embracing Generative AI in Authentic Assessment; Challenges, Ethics and Opportunities 13. Process not product in the written assessment 14. Sustainable and ethical GenAI for the common good: looking back and forward
1. Using Generative AI effectively in Higher Education Part A: Institutional Strategies for Building Generative AI Capability2. Pedagogy and Policy in a Brave New World: A case study on the development of Generative AI literacy at the University of Liverpool 3. Supporting inclusion in academic integrity in the age of GenAI Part B: Developing Generative AI Literacies4. Confidence enhancer, learning equalizer, and pedagogical ally: Exploring GenAI for students with English as an additional language 5. Integrating GenAI in Higher Education: Insights, perceptions, and a taxonomy of practice 6. "Understood the assignment": A UX-led investigation into student experiences of GenAI Part C: Curriculum Design for a Generative AI Enabled World 7. Re-imagining Student Engagement in an AI-Enhanced Classroom: Strategies and Practices 8. The potential of AI text-to-image generation in medical education: The educator and students' perspective 9. Using Generative AI agents for scalable roleplay activities in the health sciences 10. Embracing GenAI in Education: A Path Towards Authentic Assessment Part D: Assessment in a Generative AI Enabled World11. Generative AI and the implications for Authentic Assessment 12. Embracing Generative AI in Authentic Assessment; Challenges, Ethics and Opportunities 13. Process not product in the written assessment 14. Sustainable and ethical GenAI for the common good: looking back and forward
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