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Autor/inn/enRadosavljevic, Vitomir; Radosavljevic, Slavica; Jelic, Gordana
TitelAmbient Intelligence-Based Smart Classroom Model
QuelleIn: Interactive Learning Environments, 30 (2022) 2, S.307-321 (15 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Radosavljevic, Vitomir)
ORCID (Radosavljevic, Slavica)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1049-4820
DOI10.1080/10494820.2019.1652836
SchlagwörterVirtual Classrooms; Educational Technology; Technology Uses in Education; Artificial Intelligence; Fatigue (Biology); Identification; Learning Strategies; Models; Feedback (Response); Databases
AbstractThis paper introduces the smart classroom learning model based on the concept of ambient intelligence. By analyzing a smart classroom, the ambient intelligence system detects a student and determines their level of fatigue based on the data about their previous daily academic activities. This information is then used to assign the student the appropriate learning strategy. The paper describes relevant factors for developing the model. The model was tested on a sample of 80 students. By analyzing the information available through ambient intelligence, it was possible to utilize the smart classroom to provide students with the adequate learning strategy in accordance with the criteria compatible with the expected leaning outcomes. The research results have shown positive effects of the application of the ambient intelligence-based smart classroom model on learning results. (As Provided).
AnmerkungenRoutledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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