Title: Construction of a learning behaviour tracking analysis model for a MOOC online education platform

Authors: Peng Zhang; Wei Wang; Chui-Zhen Zeng

Addresses: Department of Radar, Ordnance NCO Academy Army Engineering University of PLA, Wuhan, 430075, China ' Department of Radar, Ordnance NCO Academy Army Engineering University of PLA, Wuhan, 430075, China ' Department of Radar, Ordnance NCO Academy Army Engineering University of PLA, Wuhan, 430075, China

Abstract: Aiming at the problems of low extraction accuracy, high missed detection rate and low learning efficiency of existing learning behaviour tracking analysis models, a learning behaviour tracking analysis model of MOOC online education platform based on XAPI and Bayesian fuzzy rough set is established. Firstly, the learning behaviour is stratified, then the learning behaviour of online education platform and its correlation with learning effect are analysed, and the learning behaviour indicators are determined. Finally, the learning behaviour tracking analysis model based on Bayesian fuzzy rough set is established. The experimental results show that the accuracy of learning behaviour extraction of the model is always above 93%, and the accuracy is high; the rate of missing detection is between 1% and 4%, and the rate of missing detection is low; the maximum improvement of learning efficiency is 14.8%, and the students' learning efficiency is high, which verifies the validity of the model.

Keywords: education platform; learning behaviour; behaviour tracking analysis model.

DOI: 10.1504/IJCEELL.2020.106348

International Journal of Continuing Engineering Education and Life-Long Learning, 2020 Vol.30 No.2, pp.89 - 103

Received: 14 Jan 2019
Accepted: 08 Apr 2019
Published online: 02 Apr 2020 *

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