Full Description
This timely book explores the role of generative artificial intelligence (AI) in reshaping higher education. It presents a detailed examination of the impact of generative AI on teaching, research and academic practices, investigating its transformative potential and addressing key ethical concerns and challenges.
Leading international experts discuss how generative AI can be used for personalized learning and innovative assessment and pedagogical strategies, providing practical insights and frameworks for equipping students with essential AI competencies. They identify ethical issues surrounding the use of AI such as bias, academic integrity and transparency, as well as demonstrating how human-centred design principles can ensure that AI enhances education while safeguarding equity and inclusivity. The book emphasizes the importance of interdisciplinary collaboration between educators, policymakers and AI developers, outlining global perspectives and encouraging a transdisciplinary approach to policy development.
Students and scholars of education policy, curriculum, pedagogy and sociology will greatly benefit from this comprehensive book. It is also an essential resource for policymakers and practitioners in higher education administration and management.
Contents
Contentsi
1 Introduction to Artificial Intelligence and Its Relevance to
Academia 1
Soroush Sabbaghan
2 The Rise of Generative AI: Capabilities and Potential for
Higher Education 18
Mohammad Keyhani and Safaneh Mohaghegh-Neyshabouri
3 Generative AI in Higher Education: Transformative Tools for
Research, Teaching, and Assessment 33
Mohammadreza Farrokhnia, Saba Soleimani and Omid Noroozi
4 Responsive Instructional Design using GenAI and Digital
Skill Development Framework 52
Barbara Brown and Verena Roberts
5 Innovative Applications of Generative Artificial Intelligence
in Classroom Assessment: A Scoping Review 68
David Baidoo-Anu, Daniel Asamoah and Raji Monsurat
6 The Future Landscape: Predictions and Prospects for
Generative AI in Academia 87
Abdulrahman M. Al-Zahrani
7 Rethinking Authorship in a Generative AI-driven Academic
World 105
Rahul Kumar
8 The Double-edged Sword of Generative AI for Assessment:
Efficiency versus Homogenization 122
Alwyn Vwen Yen Lee
9 Transparency, Assessment and the "Black Box" Dilemma 138
M. Gregory Tweedie and Shahneela Tasmin Sharmi
10 The Pedagogical Ethics: Navigating Learning in a Generative
AI-augmented Environment in a Post-plagiarism Era 154
Sarah Elaine Eaton and Mohammad Keyhani
11 Challenges and Misuses of Generative AI and the Quest for
Mitigation 173
Muhammad Abbas
12 From Student Artificial Intelligence (AI) Literacy to AI
Competency: Essential Skills for the Next Generation 188
Thomas K. F. Chiu
13 An Innovation Policy Analysis of G10 Nations' Strategic
Plans for Future AI Leaders and Researchers in Higher
Education 205
Eugene G. Kowch
14 Collaborative Approaches: Bridging the Gap Between
Generative AI Developers and Educators 228
Rita Detrick and Jinhee Kim
15 Charting a Human-centered Path for Generative AI in Higher
Education 244
Soroush Sabbaghan
