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《e-Education Research》 2018-07
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Learning Analytics Model of Online Learning:A Study on Construction and Its Methods of Presence Learning Analytics Model

FENG Xiaoying;LIU Yue;WU Yijun;Research Center of Distance Education, Beijing Normal University;School of Educational Technology, Beijing Normal University;  
From the perspective of learning analytics, this study aims to build a learning analytic model for the presence level of online learners and explores effective methods and ways to construct a learner model. This study selects two typical online courses as research cases, adopts content analysis,social network analysis, correlation analysis, ridge regression and multiple linear regressions to build models respectively, and verifies and compares those two models and data as well. Research findings include:(1) two learning analytics models have a high degree of interpretation and universality, and can represent the learning level of online learners comprehensively.(2) Model A is suitable for typical online courses featured by "autonomous learning + teacher guidance(teacher-student interaction) supplemented by student-student interaction " in China; model B is applicable to online courses which focus on "autonomous learning + student-student interaction supported by teacher-student interaction".(3) The modeling method by correlation analysis, ridge regression and multiple linear regressions is helpful to improve the interpretation of the model. Therefore, it is feasible to use multiple sets of data to model and verify model universality.
【Fund】: 中央高校基本科研业务费专项资金资助“基于学习分析技术的在线交互质量评价的研究”(项目编号:SKZZB2015004)
【CateGory Index】: G434
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