Full Description
This edited collection consolidates interdisciplinary research on artificial intelligence in higher education, foregrounding pedagogical practices across the social and hard sciences. While some chapters address generative AI, the volume intentionally adopts a broader AI lens to capture wider perspectives.
Positioned as a timely interdisciplinary synthesis, the volume brings together research on the role of AI in teaching and learning in higher education. It balances chapters on generative AI with broader examinations of AI, ensuring that a range of perspectives are represented. By assembling insights from the social and hard sciences, the collection charts how pedagogical practices are being reconsidered, highlights convergences and contrasts across disciplines, and delineates open questions. Addressing a gap in the literature, it offers an integrated view of AI's educational impact from multiple disciplinary vantage points, providing readers with a structured foundation for interdisciplinary understanding.
This book will be invaluable for academics, educators and researchers in higher education, across the social and hard sciences, who are seeking interdisciplinary insight into the pedagogical implications of AI.
Contents
1. Introduction
Wu Wei, Gurpinder Singh Lalli, and Na Li
Part I Ethics and Responsibility
2. Human-in-the-Loop Pedagogy for Ethical AI Literacy in Translation and Interpreting Education
Amini Mansour
3. The ethical considerations of GenAI technology use in higher education: Insights from learners with English as an additional language or dialect and their educators
Mimi Tsai, Xiaoting Yu, and Michelle Riedlinger
4. Human Annotation as Pedagogy: Reframing Generative AI Output Evaluation as a Learning Method in Higher Education
Mohammed Alaqad, Gisele El Khoury, and Hani Alhasani
Part II Student Perceptions
5. Investigating and Comparing Students' AI Readiness in English-Medium and Chinese-Medium Universities
Xue Yao, Zhihan Xia, Long Yuan, and Qing Zhang
6. The effects of chatbot's emotional support on students' academic stress reduction: the moderating effect of AI literacy level
Jinhee Kim, Sang-Soog Lee, Rita Detrick, and Na Li
Part III Research and Knowledge Production
7. AI in Higher Education: Handling Plagiarism Constructively and Using AI to Facilitate Effective Teaching and Learning in University Classrooms
Nan Li
8. Developing and Validating a Generative AI Literacy Scale for International Chinese Teachers, Liu Shi; Yongliang Wang, North China University of Water and Resources
Liu Shi, Yongliang Wang, Wu Wei, and Gurpinder Singh Lalli
9. Toward Mutualism: The Impact of AI Usage on Collaboration in Project-Based Learning
Yongjing Wang, Zhiye Lin, and Liya Ke
10. From Disruption to Integration: Supporting Late Majority Educators in Australian Higher Education GenAI Transition
Mimi Tsai and Henk Huijser
11. A Cognitive Risk Framework for Evaluating Generative AI in Higher Education
Garth Elzerman
Part IV Curriculum Design
12. Integrating GenAI into Learning Experience Design: A Mixed-Methods Study at Vietnam National University
Manh Tuan Kim
13. The Double-Edged Sword of GenAI: A Case Study on PowerPoint Creation in Business Education
Svetoslav Georgiev and Joseph Tinsley
14. Generative Artificial Intelligence and the Pedagogy of Academic Writing: Advancing Student Mastery of APA Style
Yuejin Xu
15. The Paradigm Shift in Instructional Design: From Traditional Models to AI-Empowered Human-AI Collaboration
Xinrong Xue and Wei Cui
16. A Scaffolded and Constructively Aligned Framework for GAI Integrated Future-Proof Curricula
Paul Craig
17. From Game Designers to AI Collaborators: A Case Study of Generative AI-Supported Gamification in Business Education
Linjia Zhang
18. Conclusion: Reimagining Higher Education in an AI-Mediated World
Wu Wei, Gurpinder Singh Lalli, and Na Li
