A Teaching Framework Based on Big Data of Students’ Learning Behaviors: A Case Study of Academic Performance Prediction - Details

Author：

Li, D. (Li, D..) | Ding, S. (Ding, S..) | Wang, W. (Wang, W..) | Su, H. (Su, H..) | Wang, Y. (Wang, Y..)

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EI Scopus

Abstract：

The　online　education　is　accelerating　the　transformation　and　innovation　of　the　education　industry　with　the　rise　of　smart　education.　Learning　behavior　data　analysis　has　promoted　the　development　of　education　informatization.　Using　these　learning　behavior　big　data,　a　technology　framework　is　proposed　to　improve　teaching　quality.　Then,　taking　academic　performance　prediction　as　a　case　study,　we　provides　an　effective　strategy　to　predict　students’　academic　performance.　Through　the　case　study,　we　learn　more　about　the　weak　points　in　the　students’　learning　processes　based　on　the　analysis　of　learning　behaviors.　©　2023,　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd.

Keyword：

Big data Teaching framework Smart education Prediction

Author Community：

[ 1 ] [Li D.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Ding S.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Wang W.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Su H.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Wang Y.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

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Source ：

ISSN： 1876-1100

Year： 2023

Volume： 1031 LNEE

Page： 1-6

Language： English

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

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Chinese Cited Count：

30 Days PV： 12

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