Effective Practices in AI Literacy Education

Case Studies and Reflections

AvXianghan O'Dea,Xianghan O’Dea

Inbunden, Engelska, 2024

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Beskrivning

The rapid adoption of Artificial Intelligence in various industries and the emergence of Generative Artificial Intelligence (GenAI) in recent years have prompted highlighted interest in training and supporting university students to develop industry-oriented AI literacy competencies.Effective Practices in AI Literacy Education serves as a go to guide for university key stakeholders, such as students, academics and professional support staff seeking to develop their AI literacy skills. Chapters provides the reader with applicable strategies and evidence-based practices through a comprehensive collection of international higher education case studies. The case studies offer innovative approaches in teaching AI literacy in a broad spectrum, and discipline specific approaches. Each case study is also complemented by the contributors’ own reflections. The intention is to promote deeper engagement and critical thinking.Effective Practices in AI Literacy Education sheds light on an under explored topic and helps the reader acquire a deeper understanding of the topic of current interest – AI literacy Education in higher education. It offers practical guidance and innovative solutions in this area through showcasing impactful case studies.

Produktinformation

Utgivningsdatum:2024-12-02
Mått:152 x 229 x 14 mm
Vikt:414 g
Format:Inbunden
Språk:Engelska
Serie:Emerald Points
Antal sidor:232
Förlag:Emerald Publishing Limited
ISBN:9781836088530

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Mer om författaren

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. Xianghan (Christine) is Co-Editor-in-Chief of AI in Education (An Emerald Open Access Journal).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.

Innehållsförteckning

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 - RETRACTEDChapter 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