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. Order hard copies | Open Access Book (free) 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

This book is a comprehensive guide for doctoral students, early-career researchers, and educators navigating the complexities of qualitative research. This book bridges traditional qualitative methods with innovative AI tools, providing a step-by-step framework from research design to publication. Key features include: Practical explanations of major qualitative approaches such as phenomenology, case study, grounded theory, ethnography, and narrative research. Integrating AI tools (e.g., NVivo, MAXQDA, ChatGPT, EndNote) to enhance data collection, analysis, and writing. Real-world examples, reflexive prompts, and templates to guide your research process. Strategies for ensuring rigor, trustworthiness, and ethical considerations in qualitative studies. Actionable advice for structuring dissertations and publishing in top-tier journals. With a focus on clarity, innovation, and academic rigor, this book equips researchers with the skills to produce high-quality qualitative research while embracing the potential of emerging technologies. Whether you are starting your dissertation or preparing for publication, this book is an essential companion on your qualitative research journey. Table of Contents Chapter 1: AI Tools for Qualitative Research Writing Why Use AI Tools in Qualitative Research? Benefits of Using AI Tools in Qualitative Research Ethical Considerations and Responsible AI Use AI Tools for Writing and Developing Interview Questionnaires AI Tools for Literature Review and Reference Management AI Tools for Data Collection AI Tools for Data Analysis and Coding AI Tools for Proofreading AI Tools for Visualizing and Presenting Data Chapter 2: Foundations of Qualitative Research Qualitative Research: Nature, Purpose, and Characteristics Philosophical Foundations Types of Qualitative Methods/Approaches Designing a Qualitative Study Activity 1: Identifying Qualitative Approaches Activity 2: Research Design Draft Activity 3: Exploring Philosophical Foundations Chapter 3: Narrative Research – Life Stories Characteristics of Narrative Research Types of Narratives Steps for Conducting Narrative Research Data Sources in Narrative Research Suggested Topics for Narrative Research Integrating AI Tools in Narrative Research Narrative Research Design Sample Chapter 4: Phenomenology Research – Lived Experiences Characteristics of Phenomenology Types of Phenomenology Steps in Conducting Phenomenological Research Data Sources for Phenomenology Practical Topics for Phenomenological Research Phenomenological Research Sample Chapter 5: Grounded Theory Research – Building Theory from Data Characteristics of Grounded Theory Types of Grounded Theory Steps for Conducting Grounded Theory Research Data Sources for Grounded Theory Practical Topics for Grounded Theory Research ChatGPT Prompts for Grounded Theory Grounded Theory Research Design Sample Chapter 6: Ethnography Research – Exploring Cultures Characteristics of Ethnography Types of Ethnography Steps for Conducting Ethnographic Research Data Sources in Ethnography Practical Topics for Ethnographic Research ChatGPT Prompts for AI Tools in Ethnographic Research Virtual Ethnography Research Design Sample Chapter 7: Case Study – In-Depth Exploration of Cases Characteristics of Case Study Research Types of Case Study Research Steps for Conducting Case Study Research Data Sources for Case Study Research Practical Topics for Case Study Research ChatGPT Prompts for AI Tools in Case Study Research Case Study Research Design Sample Chapter 8: Action Research – Solving Real-World Problems Characteristics of Action Research Steps in Conducting Action Research Data Sources in Action Research Practical Topics for Action Research Action Research Cycle ChatGPT or Google Gemini Prompt for Scholars Action Research Design Sample Chapter 9: Content Analysis – Systematic Data Interpretation Characteristics of Content Analysis Steps in Conducting Content Analysis Data Sources for Content Analysis Practical Topics for Content Analysis Content Analysis Research Design Sample Chapter 10: Data Collection Methods with AI Integration Interviews and Focus Groups Observations and Field Notes Document and Artifact Analysis Ethical Considerations for Data Collection Sample Size and Sampling Methods Chapter 11: Data Analysis and Visualization Coding Process Manual vs. AI-Assisted Coding Analyzing Text and Visual Data Representing and Visualizing Data ChatGPT Prompts to Generate Themes/Codes Chapter 12: Writing and Publishing Qualitative Research Structuring Your Dissertation or Journal Article Sample Research Topic ChatGPT Prompts for Research Papers Publishing Strategies Peer-Reviewed Journals for Qualitative Research Qualitative Journal Article Evaluation Rubric Qualitative Research Terminologies