Zobrazeno 1 - 10
of 336
pro vyhledávání: '"AIED"'
Autor:
Xing, Wanli, author, Li, Chenglu, author
Publikováno v:
Uses of Artificial Intelligence in STEM Education, 2024, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780198882077.003.0023
Publikováno v:
Public Administration and Policy, 2024, Vol. 27, Issue 2, pp. 140-153.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PAP-05-2023-0061
Publikováno v:
Public Administration and Policy, Vol 27, Iss 2, Pp 140-153 (2024)
Purpose – This paper analyzes the ethics of integrating Artificial Intelligence (AI), particularly regarding AI-generated educational content in academia. It attempts to explore how AI customization mimics human interaction and behavior in educatio
Externí odkaz:
https://doaj.org/article/b582af545c4d4969b51d48a7db3840a5
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 7, Iss , Pp 100326- (2024)
The advancements in Generative Artificial Intelligence (GenAI) can provide opportunities for enriching educational experiences, but at the same time raise concerns regarding academic integrity. Many educators have expressed anxiety and hesitation whe
Externí odkaz:
https://doaj.org/article/06b2db21ae344a4da4cbf91914384068
Autor:
Judit Martínez-Moreno, Dominik Petko
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 7, Iss , Pp 100296- (2024)
Artificial Intelligence in Education (AIEd) is reshaping not only the educational landscape but also potentially influencing the motivations of aspiring teachers. This paper explores whether considerations related to AIEd play a role in student teach
Externí odkaz:
https://doaj.org/article/44cdd2dfccb243b1a22248767bf13655
Autor:
Aras Bozkurt, Junhong Xiao, Robert Farrow, John Y. H. Bai, Chrissi Nerantzi, Stephanie Moore, Jon Dron, Christian M. Stracke, Lenandlar Singh, Helen Crompton, Apostolos Koutropoulos, Evgenii Terentev, Angelica Pazurek, Mark Nichols, Alexander M. Sidorkin, Eamon Costello, Steven Watson, Dónal Mulligan, Sarah Honeychurch, Charles B. Hodges, Mike Sharples, Andrew Swindell, Isak Frumin, Ahmed Tlili, Patricia J. Slagter van Tryon, Melissa Bond, Maha Bali, Jing Leng, Kai Zhang, Mutlu Cukurova, Thomas K. F. Chiu, Kyungmee Lee, Stefan Hrastinski, Manuel B. Garcia, Ramesh Chander Sharma, Bryan Alexander, Olaf Zawacki-Richter, Henk Huijser, Petar Jandrić, Chanjin Zheng, Peter Shea, Josep M. Duart, Chryssa Themeli, Anton Vorochkov, Sunagül Sani-Bozkurt, Robert L. Moore, Tutaleni Iita Asino
Publikováno v:
Open Praxis, Vol 16, Iss 4 (2024)
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
Externí odkaz:
https://doaj.org/article/cb2a2b3ca4494706b5a7ddbf19672d6e
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39357- (2024)
In recent years, Artificial Intelligence (AI) has witnessed remarkable expansion, greatly benefiting the education sector. Nonetheless, this advancement brings forth several ethical dilemmas. The existing research on these ethical concerns within the
Externí odkaz:
https://doaj.org/article/5c806e4a2d41473387481d05ca76ecb7
Autor:
Fassbender, William Joseph
Publikováno v:
English Teaching: Practice & Critique, 2024, Vol. 23, Issue 1, pp. 104-117.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ETPC-08-2023-0101
Autor:
Aras Bozkurt
Publikováno v:
Open Praxis, Vol 16, Iss 3 (2024)
The rapid emergence of Generative Artificial Intelligence (Generative AI) has fundamentally transformed the educational landscape, presenting both profound opportunities and significant challenges. As a powerful and evolving digital creature, generat
Externí odkaz:
https://doaj.org/article/170069a360244ea3aadece27e0cb2c0a
Autor:
Fatih Karataş, Erkan Yüce
Publikováno v:
International Review of Research in Open and Distributed Learning, Vol 25, Iss 3 (2024)
The rapid advancement of artificial intelligence (AI) in education underscores transformative prospects for open and distributed learning, encompassing distance, hybrid, and blended learning environments. This qualitative study, grounded in narrative
Externí odkaz:
https://doaj.org/article/d667240199ef4c40925d75066968b2d7