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Autor/inn/enGillani, Nabeel; Eynon, Rebecca; Chiabaut, Catherine; Finkel, Kelsey
TitelUnpacking the "Black Box" of AI in Education
QuelleIn: Educational Technology & Society, 26 (2023) 1, S.99-111 (13 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1176-3647
SchlagwörterArtificial Intelligence; Technology Uses in Education; Educational Technology; Educational Benefits; Risk; Learning Analytics; Natural Language Processing; Elementary Secondary Education; Definitions; Intelligent Tutoring Systems; Feedback (Response); Coaching (Performance); Counseling; Automation; Prediction; Bias
AbstractRecent advances in Artificial Intelligence (AI) have sparked renewed interest in its potential to improve education. However, AI is a loose umbrella term that refers to a collection of methods, capabilities, and limitations--many of which are often not explicitly articulated by researchers, education technology companies, or other AI developers. In this paper, we seek to clarify what "AI" is and the potential it holds to both advance and hamper educational opportunities that may improve the human condition. We offer a basic introduction to different methods and philosophies underpinning AI, discuss recent advances, explore applications to education, and highlight key limitations and risks. We conclude with a set of questions that educationalists may ask as they encounter AI in their research and practice. Our hope is to make often jargon-laden terms and concepts accessible, so that all are equipped to understand, interrogate, and ultimately shape the development of human-centered AI in education. (As Provided).
AnmerkungenInternational Forum of Educational Technology & Society. Available from: National Yunlin University of Science and Technology. No. 123, Section 3, Daxue Road, Douliu City, Yunlin County, Taiwan 64002. e-mail: journal.ets@gmail.com; Web site: https://www.j-ets.net/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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