[논문]Research and Implementation of U-Learning System Based on Experience API

Sun, Xinghua; Ye, Yongfei; Yang, Jie; Hao, Li; Ding, Lihua; Song, Haomin

doi:10.3745/jips.04.0176

[국내논문] Research and Implementation of U-Learning System Based on Experience API 원문보기

Journal of information processing systems, v.16 no.3, 2020년, pp.572 - 587

Sun, Xinghua (School of Information Science and Engineering, Hebei North University) , Ye, Yongfei (School of Information Science and Engineering, Hebei North University) , Yang, Jie (School of Information Science and Engineering, Hebei North University) , Hao, Li (School of Law and Politics, Hebei North University) , Ding, Lihua (School of Information Science and Engineering, Hebei North University) , Song, Haomin (School of Information Science and Engineering, Hebei North University)

Abstract ▼ AI-Helper

Experience API provides a learner-centered model for learning data collection and learning process recording. In particular, it can record learning data from multiple data sources. Therefore, Experience API provides very good support for ubiquitous learning. In this paper, we put forward the architecture of ubiquitous learning system and the method of reading the learning record from the ubiquitous learning system. We analyze students' learning behavior from two aspects: horizontal and vertical, and give the analysis results. The system can provide personalized suggestions for learners according to the results of learning analysis. According to the feedback from learners, we can see that this u-learning system can greatly improve learning interest and quality of learners.

주제어

표/그림 (12)

그림 Fig. 1. The u-learning system structure model.
그림 Fig. 2. Learning record model of Experience API.
그림 Fig. 3. Architecture of learning record tracking system.
그림 Fig. 4. Ubiquitous system physics architecture.
그림 Fig. 5. Learning record display effect.
그림 Fig. 6. Analysis process of key knowledge points.
그림 Fig. 7. Analysis of learning behavior.
그림 Fig. 8. Learning behavior analysis.
그림 Fig. 9. Personalized learning recommendation model.
그림 Fig. 10. Satisfaction of push function of learning platform.
그림 Fig. 11. Satisfaction of learning platform increases individual learning interest.
그림 Fig. 12. Satisfaction of learning platform improves individual learning quality.

참고문헌 (21)

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상세보기
W. A. Hamzah, N. H. Ali, M. Y. M. Saman, M. H. Yusoff, and A. Yacob, "The use of Tin Can API for web usage mining in E-learning applications on the social network," in Proceedings of 2015 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), Langkawi, Malaysia, 2015, pp. 113-118.

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