Full Description
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.
This rich collection of established and evaluated practices from across global higher education offers a practical guide to leading an agile institutional response to emerging technologies, building critical digital literacy across an entire institution, and embedding the ethical and sustainable use of GenAI in teaching, learning, and assessment. Including reflections from stakeholders testifying to the value of the approaches outlined, the book examines how higher education can equip staff and students with the critical-digital literacy necessary to use GenAI in work, study, and social life responsibly and with integrity. It provides an evidence-based resource for any kind of higher education (HE) provider (modern, college-based, and research-focused) looking for inspiration and approaches which can build GenAI capability and includes chapters on the development of cross-institutional strategy, policies and processes, pedagogic practices, and critical-digital literacy.
This resource will be invaluable to educational leaders, educational developers, learning developers, learning technologists, course administrators, quality assurance staff, and HE teachers wishing to embrace and adapt to a GenAI-enabled world.
Contents
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
