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The Manifesto for Teaching and Learning in a time of Generative AI: a critical collective stance to better navigate the future

Costello, Eamon orcid logoORCID: 0000-0002-2775-6006, Bozkurt, Aras orcid logoORCID: 0000-0002-4520-642X, Xiao, J., Farrow, Robert orcid logoORCID: 0000-0002-7625-8396, Bai, J.Y.H, Nerantzi, Chrissi orcid logoORCID: 0000-0001-7145-1800, Moore, S., Dron, Jon orcid logoORCID: 0000-0002-6521-7302, Stracke, Christian M., Singh, L., Crompton, Helen orcid logoORCID: 0000-0002-1775-8219, Koutropoulos, A., Terentev, E., Pazurek, Angelica orcid logoORCID: 0000-0001-9933-8877, Nichols, M., Sidorkin, A.M., Watson, S., Mulligan, Donal, Honeychurch, Sarah orcid logoORCID: 0000-0002-9931-6827, Hodges, C.B., Sharples, Mike orcid logoORCID: 0000-0001-7081-3320, Swindell, A., Frumin, I., Tlili, Ahmed orcid logoORCID: 0000-0003-1449-7751, Slagter van Tryon, P., Bond, Melissa orcid logoORCID: 0000-0002-8267-031X, Bali, Maha orcid logoORCID: 0000-0002-8142-7262, Leng, J., Zhang, K., Cukurova, M., Chiu, T. K. F., Lee, K., Hrastinski, Stefan orcid logoORCID: 0000-0002-9984-6561, Garcia, M.B., Sharma, R.C., Alexander, B., Zawacki-Richter, O., Huijser, H., Jandrić,, P., Zheng, C., Shea, P., Duart, J.M., Themeli, C., Vorochkov, A., Sani-Bozkurt, S., Moore, R.L. and 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). pp. 487-513. ISSN 2304-070X

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.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords: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
Subjects:Social Sciences > Education
Social Sciences > Teaching
DCU Faculties and Centres:DCU Faculties and Schools > Institute of Education
DCU Faculties and Schools > Institute of Education > School of STEM Education, Innovation, & Global Studies
Publisher:International Council for Open and Distance Education
Official URL:https://openpraxis.org/articles/10.55982/openpraxi...
Copyright Information:Authors
ID Code:30573
Deposited On:06 Dec 2024 15:26 by Gordon Kennedy . Last Modified 06 Dec 2024 15:26
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