Effective Practices in AI Literacy Education

Xianghan O’Dea is a Senior Fellow of Higher Education Academy, and Senior Lecturer in Management and Technology Education in the Department of Public Services Management & Organisation at King’s Business School. Her research focuses on AI in education (AIEd), with a particular focus on Generative AI and AI literacy; digital transformation and digital education. Davy Tsz Kit Ng is an Assistant Professor in the Department of Mathematics and Information Technology at The Education University of Hong Kong. He has served as an IT Panel member at a secondary school and held positions as a Visiting Fellow at the Hong Kong University of Science and Technology and University of Southampton. His research interests encompass (Generative) AI literacy, the metaverse, STEAM education, and technology-enhanced pedagogical innovation.

Foreword; Sean McMinn

Part 1. An Overview of AI Literacy Education in Higher Education

Chapter 1. Introduction; Thomas K.F. Chiu, Xianghan O'Dea, and Davy Tsz Kit Ng

Chapter 2. An Overview of Teaching AI Literacy to University Students; Julius T. Nganji, Lamis F. Al-Qora’n, and Kfukfu Nsangong

Chapter 3. AI literacy and GenAI Literacy Frameworks; Xianghan O’Dea and Davy Tsz Kit Ng

Part 2. Teaching AI Literacy to Staff and Students

Part 2.1. AI Preparedness for Staff and Educators

Chapter 4. Equipping the Next Generation: A Pre-service Teacher Education Program in Integrating AI Literacy across The Curriculum; Harshith B Nair

Chapter 5. Academic Staff AI Literacy Development through LLM Prompt Training; Louise Drumm and Ashkan Sami

Chapter 6. A Framework-based Cross-institutional CPD for Academic Staff in Gen - AI Literacy, Critical Inquiry and Authentic Assessment; Roisin Donnelly and Ita Kennelly

Part 2.2. AI Literacy Training for Students across Subject Disciplines

Chapter 7. AI Literacy in Learning and Educational Technology; Andy Nguyen, Timofey Shalpegin, Joni Lämsä, and Ridwan Whitehead

Chapter 8. AI in Supply Chain Education; Timofey Shalpegin and Andy Nguyen

Chapter 9. Setting Standards: Developing AI Literacy Skills at Level 4; Aimee-Leigh Youngson and Vicki Harvey

Chapter 10. Evaluating a Global Citizenship Course on Developing Business Students’ AI Literacy Skills; Anthony Chun Hin Ching, Sau Wai Law, and Davy Tsz Kit Ng

Chapter 11. From Data to Story: Leveraging LLM-powered Chatbots for Learning Business Data Analytics and Visualization in Mathematica; Fei Du, Jinwen Luo, and Sophy Xiaofei Wang

Chapter 12. Cultivating AI Literacy Skills: How GenAI Tools Prepare Students in Humanities and Social Sciences to Write with Ethical and Critical Insight; Yunying Yang, Miaoyan Yang, and Jinwen Luo

Chapter 13. Integrating Generative Artificial Intelligence into Teaching and Assessment: A Case Study from a University in the UK; Tadhg Blommerde, Elenia Charalambous, William Bright, Ellie Musgrave, Lilian Ueno, and Teagan Magee

Chapter 14. Effective Practices in AI Literacy Education: A Legal Education Perspective; Craig Smith

Part 3. Innovative Approaches in Teaching AI Literacy through Targeted Teaching Activities

Chapter 15. Learning AI Literacy in Collaborative Projects with an AI Education Tool by Making Machine Learning-Driven Apps: A case study from Finnish Pre-service Teacher Education; Jari Laru, Ismail Celik, Iiris Kivioja, and Kati Mäkitalo

Chapter16. Structured Integration of AI in Brand Management Education: A Constructivist Approach to Preventing Overreliance and Ensuring Active Engagement; Chahna Gonsalves

Chapter 17. Using Generative AI tools to Develop AI Literacy in the Context of Human-AI Collaborative Writing among Secondary Students; Xiaoxuan Fang and Hao Deng

Chapter 18. A Proposed Six-Step Human-AI Hybrid Argumentative Writing Framework in Higher Education: Enhancing Students’ Prompt Engineering Techniques and Critical Thinking Skills; Yang Yin and Yan Jiahao

Chapter 19. Applied Generative AI for Interdisciplinary Projects; Jac Ka Lok Leung

Chapter 20. AI-Assisted Programming and AI Literacy in Computer Science Education; Chee Wei Tan, Mohammad Abdullah Matin Khan, and Pei-Duo Yu

Part 4. Conclusion

Chapter 21. Conclusion and Future Recommendations; Davy Tsz Kit Ng, Xianghan O'Dea, and Rong Tang