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This volume analyzes digitalization, artificial intelligence, accreditation, rankings, and internationalization through the lens of future accountability in higher education. Ten chapters bring together Pacific, African, Asian, European, and broader Global South perspectives on prestige, inclusion, governance, and institutional transformation. The volume examines ethical foundations of academic reputation, inclusive quality assurance, accreditation as governance and political practice, ranking actors and algorithms, India’s National Education Policy 2020, borderless accreditation, Ubuntu-informed approaches to quality, flexible internationalization during systemic instability, and the movement from digitalization toward institutional smartness. Across these themes, the contributors challenge accountability models that privilege visibility, mobility, and standardized metrics over relationships, context, and public purpose. Intended for researchers, institutional leaders, accreditation and quality assurance professionals, policymakers, faculty, and graduate students, the volume argues that responsible transformation requires transparent data practices, context-sensitive standards, inclusive participation, and a critical understanding of how prestige systems distribute power and opportunity.
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Reimagining STEAM: AI, Art, and Technology for Creative Learning examines the evolving intersections of artificial intelligence, art, technology, and interdisciplinary learning within contemporary STEAM education. Bringing together theoretical perspectives, empirical research, classroom practices, and critical inquiry, the volume explores how emerging technologies and arts-based approaches can support creativity, human agency, interdisciplinary thinking, and innovative pedagogy. Across diverse educational contexts, the chapters address human–AI interaction, visual metaphor, science communication, storytelling, media arts, sustainability, game design, creative identity, and AI-integrated art education. The volume also considers the ethical, cultural, and pedagogical implications of emerging technologies, emphasizing the importance of human-centered and reflective approaches to technological integration. Collectively, the contributions position the arts as central to STEAM education and offer educators, researchers, and practitioners perspectives and practices for developing creative, inclusive, and future-oriented learning environments.
Table of Contents
Introduction
Reimagining STEAM through AI, Art, and Technology Sahar Aghasafari & Jeremy Blair
Section I: Foundations and Theoretical Perspectives
Conceptual frameworks, pedagogy, human–AI interaction, and theoretical grounding
Chapter 1
Empowering Human Agency in Transdisciplinary STEAM through Artificial Intelligence Guey-Meei Yang
Chapter 2
Human–Machine Interplay: Visual Metaphor in STEAM Pedagogy Hsiao-Ping Chen & Guey-Meei Yang
Section II: Interdisciplinary Learning, Science Communication, and Applied STEAM Practices
Empirical research, interdisciplinary projects, storytelling, design-based learning, and science communication
Chapter 3
Structuring Science Through Story: Visual and Animated Narratives of Protein Folding in Undergraduate STEAM Research Sahar Aghasafari, Li Cai, Mark Malloy, Sara Luis, Earl Jasper Gerona & Sergio González-Eulogio
Chapter 4
Designing Tomorrow: Empowering Youth to Build Sustainable Futures through Storytelling, Media Arts, and Minecraft Sahar Aghasafari & Mark Malloy
Section III: Creativity, Identity, and Classroom Innovation
Creative pedagogy, identity, classroom experimentation, reflective practice, and AI in art education
Chapter 5
Resonant Pedagogies: Craft, Care, and Creative Risk in STEAM Classrooms Krystian K. Ramlogan
Chapter 6
(Re)Playing Self: Autoethnographic Game Design in the Art Classroom Jeremy Blair
Chapter 7
Art Meets AI: Opportunities and Challenges in the Art Classroom Jeremy Blair
Section IV: Global and Critical Futures in STEAM
Global perspectives, ethics, speculative futures, critical inquiry, and emerging directions in AI-integrated education
Chapter 8
Global Perspectives on AI-Driven STEAM Pedagogy Ambika Hanchate
Chapter 9
Imagining Futures: Art, Algorithms, and the Weight of Inherited Worlds Jeremy Blair & Sahar Aghasafari
Conclusion
Future Directions for AI, Art, and Technology in STEAM Education Sahar Aghasafari & Jeremy Blair
This volume examines how artificial intelligence, automation, blockchain, and data-informed governance are changing decision-making in higher education. Ten chapters move from academic credentials and learning records to educator roles in open and distance learning, university digital transformation strategies, faculty capability development, smart teaching governance, AI-supported teaching tools, disability inclusion, and digital-age policy. Contributions from multiple national and institutional contexts combine conceptual analysis, case comparison, technical architectures, and practical institutional recommendations. A central concern is how universities can use intelligent systems to improve efficiency, trust, access, and responsiveness while preserving professional judgment, transparency, privacy, and human responsibility. The volume treats faculty development and inclusion as essential parts of technological transformation rather than secondary implementation issues. Intended for researchers, university leaders, faculty developers, quality assurance professionals, policymakers, IT teams, and graduate students, it argues that decision intelligence becomes educationally valuable only when automation is governed ethically, interpreted critically, and aligned with institutional learning.
Advancing Local Knowledge for a Sustainable Future: Selected Abstracts from the STAR Global Conference 2025 brings together scholarly abstracts presented at the conference in İstanbul, Türkiye. Reflecting the conference theme, this digital volume highlights diverse perspectives on the role of local knowledge in addressing contemporary global challenges and advancing sustainable development. The collection features contributions from researchers, educators, practitioners, policymakers, and graduate students representing institutions across multiple countries and disciplines. Topics include higher education, artificial intelligence, educational innovation, sustainability, indigenous knowledge systems, community development, cultural heritage, language learning, leadership, social justice, health, architecture, and international collaboration.
Highlights
Global Perspectives: Research and insights from scholars, educators, and practitioners representing diverse countries and disciplines.
Local Knowledge for Sustainable Futures: Innovative approaches that connect indigenous, community-based, and local knowledge with global challenges.
Emerging Trends and Innovation: Contributions exploring artificial intelligence, educational transformation, sustainability, and social development.
Interdisciplinary Scholarship: A rich collection of abstracts spanning education, technology, culture, leadership, health, architecture, and community engagement.
How to cite: Gültekin, O., & Sharma, S. (Eds.). (2026). Advancing local knowledge for a sustainable future . STAR Scholars Press. https://doi.org/10.32674/a2ecr316
The rise of artificial intelligence (AI) tools based on advanced language models, such as ChatGPT and Bard, is transforming industries and professions worldwide, and higher education is no exception. ChatGPT, an AI-powered chatbot developed by OpenAI, has created a substantial amount of conversation and controversy across academia regarding what generative AI means for teaching and learning in the classroom. There is plenty of speculation not only about how those innovations will affect the academic profession but also what unique opportunities and challenges they present to global higher education. In this book, authors delve into the impact of AI and ChatGPT on higher education leadership and management, examining potential opportunities and challenges that this innovative technology presents to teaching, research, program, and policy.
The primary purpose of this volume is to provide a comprehensive, research-driven analysis of AI chatbots’ roles in shaping institutions of higher education around the world. By exploring the transformative potential of ChatGPT in academic settings, this timely book aims to bridge the gap between technological innovation and its practical applications. In the long run, we anticipate that this volume will provide valuable insights and guidance for teacher-scholars, university administrators, and policymakers on leveraging this cutting-edge technology effectively and responsibly.
Edited By Xi Lin, Roy. Y Chan, Shyam Sharma, Krishna Bista
OPEN ACCESS BOOK Creative Commons License | CC BY-NC-ND Open access editions of this book can be accessed here This book is published as an open-access publication by STAR Scholars Press. The digital edition of this book is freely available to readers worldwide and may be accessed, downloaded, and shared without charge through the publisher’s website and scholarly discovery platforms.
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Table of Contents
Prologue Keeping the Human (Educator) in the Loop Matthew Salzano
Chapter 1
The Impact of Artificial Intelligence (AI) on Global Higher Education: Opportunities and Challenges of Using ChatGPT and Generative AI Xi Lin, Roy Y. Chan, and Shyam Sharma
UNIT 1
The Use of ChatGPT and AI in Global Higher Education: A Historical View of Current Innovations
Chapter 2 Considering the History of Technologies in Education, the Distinctiveness of AI Apps, and the Future of Educational Systems Kenneth J. Luterbach
Chapter 3 The Influence of ChatGPT on Student Learning Outcomes in Higher Education: A Meta-Analysis of the Initial Empirical Literature Yankun He and Leslie Cordie
Chapter 4 The Evolution of Technology in Education and the Emerging Role of Generative AI Abdulrahman Alsharif
Chapter 5 ChatGPT as a Pedagogical Tool for Decolonizing Curriculum Bhavika Sicka
UNIT 2
Effective Practices and Standards of ChatGPT Use: Lessons Learned and Recommendations for Colleges and Universities
Chapter 6 Transforming STEM Education: Leveraging ChatGPT for Enhanced Learning in Psychology and Neuroscience Lingfei Luan, Xi Lin, Yan Dai, Laura Allen, and Shanhua Hu
Chapter 7 Hearing Students’ Voices: Access, Use Patterns, and Attitudes toward Generative AI Technologies among Chinese Students Ling Angela Xia, Olivia Yiqun Sun, and Charlie Reis
Chapter 8 Using ChatGPT to Improve Access, Inclusion, and Equity in and Through English-Medium Instruction in Higher Education Thatcher A. Spero
Chapter 9 A Comparative Study of ChatGPT and Seq2Seq Chatbot for Effective Student Advising Suha Khalil Assayed, Manar Alkhatib, and Khaled Shaalan
UNIT 3
Policy Implications and Ethical Considerations: Assessment and Accountability in Higher Education
Chapter 10 Generative Creations, Code, and Data: How Intellectual Property Rights over Ownership, Use, and Image Apply to Higher Education Jeffrey C. Sun
Chapter 11 ChatGPT and Research Ethics Lisa M. Rubin
Chapter 12 ChatGPT on Student Learning Outcomes in Higher Education: A Meta-Analysis of Early Studies Bo Zhang
Chapter 13 Rethinking Assessment and Feedback: Adapting Evaluation Methods for the Age of Artificial Intelligence Allen Farina
Chapter 14 Artificial Intelligence in Undergraduate Assignments: An Exploration of the Effectiveness and Ethics of ChatGPT in Academic Work Luke Parker, Christopher W. Carter, Alice Karakas, A. Jane Loper, and Ahmad Sokkar
UNIT 4
Current Issues and Future Concerns about Teaching and Learning
Chapter 15 Communities of Practice and Preservice Teachers in the Rise of the Artificial Intelligence Era: ChatGPT as a Method of Inquiry and Reflection Gabriela Mocanu
Chapter 16 Unlocking the Promise of AI: Exploring the Crucial Role of Faculty Members’ Growth Mindset, Self-Efficacy, and University AI Policies: A Study at Vietnam National University, Hanoi Kim Manh Tuan, Pham Van Thuan, Duong Thi Hoang Yen, and Nguyen Phuong Huyen
Chapter 17 Creating Context-Specific Critical Incidents with ChatGPT for Effective Soft Skill Training Stephan Ruppert
Chapter 18 Applications of ChatGPT in Work-Based Learning Programs: Opportunities, Challenges, and Ethical Considerations Hon Jie Teo