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Construction of OBE Concept Autonomous Learning Mode in University Teaching Based on the Internet

Construction of OBE Concept Autonomous Learning Mode in University Teaching Based on the Internet

Fan Yang, Jiong Fan
Copyright: © 2022 |Volume: 24 |Issue: 5 |Pages: 20
ISSN: 1548-7717|EISSN: 1548-7725|EISBN13: 9781668453926|DOI: 10.4018/JCIT.295250
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MLA

Yang, Fan, and Jiong Fan. "Construction of OBE Concept Autonomous Learning Mode in University Teaching Based on the Internet." JCIT vol.24, no.5 2022: pp.1-20. http://doi.org/10.4018/JCIT.295250

APA

Yang, F. & Fan, J. (2022). Construction of OBE Concept Autonomous Learning Mode in University Teaching Based on the Internet. Journal of Cases on Information Technology (JCIT), 24(5), 1-20. http://doi.org/10.4018/JCIT.295250

Chicago

Yang, Fan, and Jiong Fan. "Construction of OBE Concept Autonomous Learning Mode in University Teaching Based on the Internet," Journal of Cases on Information Technology (JCIT) 24, no.5: 1-20. http://doi.org/10.4018/JCIT.295250

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Abstract

In order to meet the needs of life-long learning of the Internet of Things and the economic and social development of digital learning countries, we must actively explore the teaching mode of digital self-learning courses for college students. This article aims to explore the construction of an autonomous learning model based on the OBE concept of university teaching based on the Internet of Things technology. Through self-study of college students in the environment of Internet of Things and information technology, as well as the micro-course self-directed learning that carries the OBE concept, the results show that most students hold a positive attitude towards the autonomous learning model in the information environment. A survey that carries the OBE concept shows that the scoring dimensions of the content of the students' autonomous learning attitude survey before class are both 4.11. It can be considered that the micro-curriculum resources that carry the OBE concept can effectively help students to conduct autonomous learning.