Data acquisition model for online learning activity in distance English teaching based on xAPI Online publication date: Wed, 16-Dec-2020
by Yuanyuan Wang; Mingqi Wang
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 31, No. 1, 2021
Abstract: In order to overcome the problems of low accuracy and low recall rate of online learning activity data acquisition, an online learning activity data acquisition model of distance English teaching platform based on xAPI is proposed. According to the visual attribute data of elements, this model divides and judges the online learning activity web page and preliminarily determines the location of noise data. According to the context content rules, the segmentation results of online learning activity web pages are processed in detail, the subblocks are evaluated comprehensively, and the noise data are locked and filtered. The data acquisition model is built by using the modules of user login verification, user mouse track replication, and English online learning activity data acquisition report display. Experimental results show that the model has high recall and precision.
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