Bozkurt, Aras;
Xiao, Junhong;
Farrow, Robert;
Bai, John YH;
Nerantzi, Chrissi;
Moore, Stephanie;
Dron, Jon;
... Asino, Tutaleni iita; + view all
(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)
pp. 487-513.
10.55982/openpraxis.16.4.777.
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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.
| Type: | Article |
|---|---|
| Title: | The Manifesto for Teaching and Learning in a Time of Generative AI: A Critical Collective Stance to Better Navigate the Future |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.55982/openpraxis.16.4.777 |
| Publisher version: | https://doi.org/10.55982/openpraxis.16.4.777 |
| Language: | English |
| Additional information: | © 2024 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 license (unless stated otherwise) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Social Sciences, Education & Educational Research, Generative artificial intelligence, GenAI, large language models, LLMs, AI in education, AIEd, higher education, teaching, learning, educational technology, human-GenAI interaction, chatbots, algorithms, collective writing, manifesto |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Social Research Institute |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10210030 |
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