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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

Research output: Contribution to Journal/Magazine › Editorial › peer-review

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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. / Bozkurt, Aras; Xiao, Junhong; Farrow, Robert et al.
In: Open Praxis, Vol. 16, No. 4, 29.11.2024, p. 487-513.

Research output: Contribution to Journal/Magazine › Editorial › peer-review

Harvard

Bozkurt, A, Xiao, J, Farrow, R, Bai, JYH, Nerantzi, C, Moore, S, Dron, J, Stracke, CM, Singh, L, Crompton, H, Koutropoulos, A, Terentev, E, Pazurek, A, Nichols, M, Sidorkin, AM, Costello, E, Watson, S, Mulligan, D, Honeychurch, S, Hodges, CB, Sharples, M, Swindell, A, Frumin, I, Tlili, A, Slagter van Tryon, PJ, Bond, M, Bali, M, Leng, J, Zhang, K, Cukurova, M, Chiu, TKF, Lee, K, Hrastinski, S, Garcia, MB, Sharma, RC, Alexander, B, Zawacki-Richter, O, Huijser, H, Jandrić, P, Zheng, C, Shea, P, Duart, JM, Themeli, C, Vorochkov, A, Sani-Bozkurt, S, Moore, RL & Asino, TI 2024, 'The Manifesto for Teaching and Learning in a Time of Generative AI: A Critical Collective Stance to Better Navigate the Future', Open Praxis, vol. 16, no. 4, pp. 487-513. https://doi.org/10.55982/openpraxis.16.4.777

APA

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

Vancouver

Bozkurt A, Xiao J, Farrow R, Bai JYH, Nerantzi C, Moore S et al. The Manifesto for Teaching and Learning in a Time of Generative AI: A Critical Collective Stance to Better Navigate the Future. Open Praxis. 2024 Nov 29;16(4):487-513. doi: 10.55982/openpraxis.16.4.777

Author

Bozkurt, Aras ; Xiao, Junhong ; Farrow, Robert et al. / The Manifesto for Teaching and Learning in a Time of Generative AI : A Critical Collective Stance to Better Navigate the Future. In: Open Praxis. 2024 ; Vol. 16, No. 4. pp. 487-513.

Bibtex

@article{f896cc155aba42329bd53c6d461698c2,
title = "The Manifesto for Teaching and Learning in a Time of Generative AI: A Critical Collective Stance to Better Navigate the Future",
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.",
author = "Aras Bozkurt and Junhong Xiao and Robert Farrow and Bai, {John Y. H.} and Chrissi Nerantzi and Stephanie Moore and Jon Dron and Stracke, {Christian M.} and Lenandlar Singh and Helen Crompton and Apostolos Koutropoulos and Evgenii Terentev and Angelica Pazurek and Mark Nichols and Sidorkin, {Alexander M.} and Eamon Costello and Steven Watson and D{\'o}nal Mulligan and Sarah Honeychurch and Hodges, {Charles B.} and Mike Sharples and Andrew Swindell and Isak Frumin and Ahmed Tlili and {Slagter van Tryon}, {Patricia J.} and Melissa Bond and Maha Bali and Jing Leng and Kai Zhang and Mutlu Cukurova and Chiu, {Thomas K. F.} and Kyungmee Lee and Stefan Hrastinski and Garcia, {Manuel B.} and Sharma, {Ramesh Chander} and Bryan Alexander and Olaf Zawacki-Richter and Henk Huijser and Petar Jandri{\'c} and Chanjin Zheng and Peter Shea and Duart, {Josep M.} and Chryssa Themeli and Anton Vorochkov and Sunag{\"u}l Sani-Bozkurt and Moore, {Robert L.} and Asino, {Tutaleni Iita}",
year = "2024",
month = nov,
day = "29",
doi = "10.55982/openpraxis.16.4.777",
language = "English",
volume = "16",
pages = "487--513",
journal = "Open Praxis",
issn = "2304-070X",
publisher = "International Council for Open and Distance Education (ICDE)",
number = "4",

}

RIS

TY - JOUR

T1 - The Manifesto for Teaching and Learning in a Time of Generative AI

T2 - A Critical Collective Stance to Better Navigate the Future

AU - Bozkurt, Aras

AU - Xiao, Junhong

AU - Farrow, Robert

AU - Bai, John Y. H.

AU - Nerantzi, Chrissi

AU - Moore, Stephanie

AU - Dron, Jon

AU - Stracke, Christian M.

AU - Singh, Lenandlar

AU - Crompton, Helen

AU - Koutropoulos, Apostolos

AU - Terentev, Evgenii

AU - Pazurek, Angelica

AU - Nichols, Mark

AU - Sidorkin, Alexander M.

AU - Costello, Eamon

AU - Watson, Steven

AU - Mulligan, Dónal

AU - Honeychurch, Sarah

AU - Hodges, Charles B.

AU - Sharples, Mike

AU - Swindell, Andrew

AU - Frumin, Isak

AU - Tlili, Ahmed

AU - Slagter van Tryon, Patricia J.

AU - Bond, Melissa

AU - Bali, Maha

AU - Leng, Jing

AU - Zhang, Kai

AU - Cukurova, Mutlu

AU - Chiu, Thomas K. F.

AU - Lee, Kyungmee

AU - Hrastinski, Stefan

AU - Garcia, Manuel B.

AU - Sharma, Ramesh Chander

AU - Alexander, Bryan

AU - Zawacki-Richter, Olaf

AU - Huijser, Henk

AU - Jandrić, Petar

AU - Zheng, Chanjin

AU - Shea, Peter

AU - Duart, Josep M.

AU - Themeli, Chryssa

AU - Vorochkov, Anton

AU - Sani-Bozkurt, Sunagül

AU - Moore, Robert L.

AU - Asino, Tutaleni Iita

PY - 2024/11/29

Y1 - 2024/11/29

N2 - 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.

AB - 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.

U2 - 10.55982/openpraxis.16.4.777

DO - 10.55982/openpraxis.16.4.777

M3 - Editorial

VL - 16

SP - 487

EP - 513

JO - Open Praxis

JF - Open Praxis

SN - 2304-070X

IS - 4

ER -