The Manifesto for Teaching and Learning in a Time of Generative AI: A Critical Collective Stance to Better Navigate the Future

Authors

• Aras Bozkurt, Anadolu University
• Junhong Xiao, Open University of Shantou
• Robert Farrow, Open University
• John Y. H. Bai, Carl von Ossietzky Universität
• Chrissi Nerantzi, University of Leeds
• Stephanie Moore, University of New Mexico
• Jon Dron, Athabasca University
• Christian M. Stracke, University of Bonn
• Lenandlar Singh, University of Guyana
• Helen Crompton, Old Dominion UniversityFollow
• Apostolos Koutropoulos, University of Massachusetts Boston
• Evgenii Terentev, HSE University
• Angelica Pazurek, University of Minnesota
• Mark Nichols, Open Polytechnic
• Alexander M. Sidorkin, California State University
• Eamon Costello, Dublin City University
• Steven Watson, University of Cambridge
• Dónal Mulligan, Dublin City University
• Sarah Honeychurch, University of Glasglow
• Charles B. Hodges, Georgia Southern University
• Mike Sharples, The Open University
• Andrew Swindell, Asian University for Women
• Isak Frumin, Constructor University
• Ahmed Tlili, Beijing Normal University
• Patricia J. Slagter van Tryon, East Carolina University
• Melissa Bond, University College London
• Maha Bali, American University in Cairo
• Jing Leng, East China Normal University
• Kai Zhang, East China Normal University
• Mutlu Cukurnova, University College London
• Thomas K. F. Chiu, Chinese University of Hong Kong
• Kyungmee Lee, Seoul National University
• Stefan Hrastinski, KTH Royal Institution of Technology
• Manuel B. Garcia, FEU Institute of Technology
• Ramesh Chander Sharma, Graphic Era Hill University
• Bryan Alexander, Georgetown University
• Olaf Zawacki-Richter, University of Oldenburg
• Henk Huijser, Queensland University of Technology
• Petar Jandrić, Zagreb University of Applied Sciences
• Chanjin Zheng, East China Normal University
• Peter Shea, University of Albany
• Josep M. Duart, Universitat Oberta de Catalunya
• Chryssa Themeli, NTNU
• Anton Vorochkov, Autonomous University of Madrid
• Sunagül Sani-Bozkurt, Anadolu University
• Robert L. Moore, University of Florida
• Tutaleni Iita Asino, Carnegie Mellon University

Document Type

Editorial

Publication Date

2024

DOI

10.55982/openpraxis.16.4.777

Publication Title

Open Praxis

Volume

16

Issue

4

Pages

487-513

Abstract

This manifesto critically examines the unfolding integration of Generative AI (GenAI), chatbots, and algorithms into higher education, using a collective and thoughtful approach to navigate the future of teaching and learning. GenAI, while celebrated for its potential to personalize learning, enhance efficiency, and expand educational accessibility, is far from a neutral tool. Algorithms now shape human interaction, communication, and content creation, raising profound questions about human agency and biases and values embedded in their designs. As GenAI continues to evolve, we face critical challenges in maintaining human oversight, safeguarding equity, and facilitating meaningful, authentic learning experiences. This manifesto emphasizes that GenAI is not ideologically and culturally neutral. Instead, it reflects worldviews that can reinforce existing biases and marginalize diverse voices. Furthermore, as the use of GenAI reshapes education, it risks eroding essential human elements—creativity, critical thinking, and empathy—and could displace meaningful human interactions with algorithmic solutions. This manifesto calls for robust, evidence-based research and conscious decision-making to ensure that GenAI enhances, rather than diminishes, human agency and ethical responsibility in education.

Rights

© 2024 The Author(s).

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Data Availability

Article states: "The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request."

Original Publication Citation

Bozkurt, A., Xiao, J., Farrow, R., Bai, J. Y. H., Nerantzi, C., Moore, S., Dron, J., Stracke, C. M., Singh, L., Crompton, H., Koutropoulos, A., Terentev, E., Pazurek, A., Nichols, M., Sidorkin, A. M., Costello, E., Watson, S., Mulligan, D., Honeychurch, S.,…Asino, T. I. (2024). The manifesto for teaching and learning in a time of generative AI: A critical collective stance to better navigate the future. Open Praxis, 16(4), 487-513. https://doi.org/10.55982/openpraxis.16.4.777

ORCID

0000-0002-1775-8219 (Crompton)

Repository Citation

Bozkurt, Aras; Xiao, Junhong; Farrow, Robert; Bai, John Y. H.; Nerantzi, Chrissi; Moore, Stephanie; Dron, Jon; Stracke, Christian M.; Singh, Lenandlar; Crompton, Helen; Koutropoulos, Apostolos; Terentev, Evgenii; Pazurek, Angelica; Nichols, Mark; Sidorkin, Alexander M.; Costello, Eamon; Watson, Steven; Mulligan, Dónal; Honeychurch, Sarah; Hodges, Charles B.; Sharples, Mike; Swindell, Andrew; Frumin, Isak; Tlili, Ahmed; Slagter van Tryon, Patricia J.; Bond, Melissa; Bali, Maha; Leng, Jing; Zhang, Kai; Cukurnova, Mutlu; Chiu, Thomas K. F.; Lee, Kyungmee; Hrastinski, Stefan; Garcia, Manuel B.; Sharma, Ramesh Chander; Alexander, Bryan; Zawacki-Richter, Olaf; Huijser, Henk; Jandrić, Petar; Zheng, Chanjin; Shea, Peter; Duart, Josep M.; Themeli, Chryssa; Vorochkov, Anton; Sani-Bozkurt, Sunagül; Moore, Robert L.; and Asino, Tutaleni Iita, "The Manifesto for Teaching and Learning in a Time of Generative AI: A Critical Collective Stance to Better Navigate the Future" (2024). STEMPS Faculty Publications. 362.
https://digitalcommons.odu.edu/stemps_fac_pubs/362