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DESCRIPTION

Teaching and Learning in the Age of Generative AI explores how educators can effectively harness the potential of artificial intelligence technologies while skillfully navigating its pedagogical, technical, ethical, institutional, and societal implications. The increasing accessibility of AI technologies among K-12 and higher education students has raised extensive concerns around academic integrity, though a deeper lineage of research and development suggests that these tools may be used to supplement instruction, prioritize critical thinking, and promote digital literacy. 

Bookended by in-depth analyses of the historical and future trajectories of artificial intelligence in education, this comprehensive resource provides evidence-based strategies for classroom implementation and helpful summaries of common benefits and risks. Teaching assistance, personalized learning, redefined assessments, anti-bias measures, and safeguards against misconduct and privacy infringement are among the wealth of topics addressed in these chapters. 

This book is an ideal text for undergraduate and graduate students of teacher education and curriculum and instruction as well as for higher education teaching faculty, school technology coordinators, and talent development personnel in training and in service.

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TABLE OF CONTENTS

Part I. Foundations and Frameworks of AI in Education

1.   What is Generative AI? A Primer

      Maria Elena Corbeil

2.   Developing a Framework for Implementing AI in Education and Evaluating its Use 
      Leticia De Leon

Part II. Transformative Teaching and Learning with AI

 

3.   Transformative Teaching with AI

      Karl M. Kapp, Jessica Briskin

 

4.   The Age of Chat: Education and the Rise of No-Code Chatbots

      Jason Gulya

 

5.   Promoting Critical Thinking and Problem-Solving Through AI

      Le Dinh Bao Quoc

 

Part III. Ethical and Institutional Considerations

 

6.   Rethinking Cheating in the Age of AI

      Clive Forrester

 

7.   Developing Institutional Policies for AI in Education

      R. Joel Farrell, II, Robin Gosdin Farrell, Jendia Grissett, Joni Winter, Amy Pridemore

 

8.   Navigating Risks: Inaccuracies, Bias, Disinformation, and Privacy in Educational AI

      Krzysztof Walczak, Wojciech Cellary

9.   Exploring the Generative Artificial Intelligence (GenAI) Fair Use Policy Landscape in 

       Higher Education 

      Francisco Garcia, Harriet E. Watkins

Part IV. Preparing Educators and Students for AI Integration

10.  Teaching Generative AI in Higher Education: Strategies, Implications, and Reflective

       Practices 

       Andrew Kelly, Miriam Sullivan, Katrina Strampel

11.  Preparing Pre-Service and In-Service Teachers for the AI-Driven Classroom

       Lucas Kohnke, Curtis Green-Eneix

12.  Preparing Students to Live and Work in an AI-Driven World: Ideas for Educators 

       and Students

       Laura Dumin

Part V. Future Trends and Implications of AI in Education

13.  Redefining Assessments in the Age of AI

       Debby R.E. Cotton, Lynne Wyness, Ben Jane, Pete A Cotton

 

14.  AI and the Digital Divide

       Renee Rottner, Lenore Porter, Jason Bock, Jordan Jannone, Rory Walsh Senerchia, 

       Janet Ward, Joshuah Whittinghill

 

15.  Defining Key Workplace Competencies in the AI Era: A Framework for AI-Powered 

       Education

       Peter Cardon, Bryan Marshall

16.  AI-Driven Self-Directed Lifelong Learning: Personalization and Empowerment in the 

       Digital Age

       Didem Tufan, Elif Öztürk

17.  The Future of Learning: AI-Driven Education in 2040

       Joseph Rene Corbeil

EDITORS

Dr. Joseph Rene Corbeil, a Professor of Educational Technology at The University of Texas Rio Grande Valley, has over 40 years of experience in technology-enhanced and distance education. His research focuses on best practices in learning experience design (LXD), e-learning design and communication, microlearning, and immersive virtual environments. Dr. Corbeil has been recognized with numerous awards, including three Online Learning Consortium awards for effective practices and two AECT book awards, notably the 2021 DDL Distance Education Book Award. His recent work examines AI in education, where he has contributed to best practice strategies in response to emerging technologies like ChatGPT.

Dr. Maria Elena Corbeil, Professor of Educational Technology at The University of Texas Rio Grande Valley, brings over 20 years of experience in online education and faculty mentoring. Her research spans microlearning, AI, MOOCs, and digital pedagogy, emphasizing responsible and effective e-learning practices. Dr. Corbeil’s excellence in online education has earned her three Online Learning Consortium Effective Practice Awards, and the AECT Best Practice Award. Her co-authored publications include two AECT book awards: the 2021 DDL Distance Education Book Award and the 2019 Outstanding Book Award.

PUBLISHER

Routledge Taylor & Francis Group
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New York, NY 10017
http://www.routledge.com