Online Practical Deep Learning Education: Using Collective Intelligence from a Resource Sharing Perspective

Autor/inn/en	Yong, Binbin; Jiang, Xuetao; Lin, Jiayin; Sun, Geng; Zhou, Qingguo
Titel	Online Practical Deep Learning Education: Using Collective Intelligence from a Resource Sharing Perspective
Quelle	In: Educational Technology & Society, 25 (2022) 1, S.193-204 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1436-4522
Schlagwörter	Electronic Learning; Artificial Intelligence; Shared Resources and Services; Instructional Materials; Problems; Barriers; Data; Course Content; College Students; Access to Computers; Foreign Countries; China + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Gemeinwirtschaft; Lehrmaterial; Lehrmittel; Unterrichtsmedien; Problemsituation; Daten; Kursprogramm; Collegestudent; Ausland
Abstract	Deep learning (DL), as the core technology of artificial intelligence (AI), has been extensively researched in the past decades. However, practical DL education needs large marked datasets and computing resources, which is generally not easy for students at school. Therefore, due to training datasets and computing resources restrictions, it is still challenging to popularize DL education in colleges and universities. This paper considers solving this problem by collective intelligence from a resource sharing perspective. In DL, dataset marking and model training both require high workforce and computing power, which may implement through a resource sharing mechanism using collective intelligence. As a test, we have designed a DL education scheme based on collective intelligence under the background of artistic creation to collect teaching materials for DL education. Also, we elaborate on the detailed methods of sharing mechanisms in this article and discuss some related problems to verify this shared learning mechanism. (As Provided).
Anmerkungen	International 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 von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01