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 - VAN TRYON, Patricia J.Slagter
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
N1 - Publisher Copyright:
© 2024 The Author(s).
PY - 2024
Y1 - 2024
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.
KW - AI in education
KW - AIEd
KW - algorithms
KW - chatbots
KW - collective writing
KW - educational technology
KW - GenAI
KW - Generative artificial intelligence
KW - higher education
KW - human-GenAI interaction
KW - large language models
KW - learning
KW - LLMs
KW - manifesto
KW - teaching
UR - http://www.scopus.com/inward/record.url?scp=85211218756&partnerID=8YFLogxK
U2 - 10.55982/openpraxis.16.4.777
DO - 10.55982/openpraxis.16.4.777
M3 - Article
AN - SCOPUS:85211218756
SN - 1369-9997
VL - 16
SP - 487
EP - 513
JO - Open Praxis
JF - Open Praxis
IS - 4
ER -