Title: Data acquisition model for online learning activity in distance English teaching based on xAPI
Authors: Yuanyuan Wang; Mingqi Wang
Addresses: Foreign Language Department, Qinhuangdao Vocational and Technical College, Qin Huangdao Hebei 066000, China ' Foreign Language Department, Qinhuangdao Vocational and Technical College, Qin Huangdao Hebei 066000, China
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.
Keywords: distance English teaching; online learning; data acquisition; noise data; user information.
International Journal of Continuing Engineering Education and Life-Long Learning, 2021 Vol.31 No.1, pp.1 - 16
Received: 02 Jul 2019
Accepted: 17 Sep 2019
Published online: 16 Dec 2020 *