Prior Knowledge as a Predictor for Persistence

S. Riazy, Katharina Simbeck, Robert Woestenfeld, M. Traeger
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引用次数: 3

Abstract

Prior knowledge has been known to play a large role in the success of MOOCs. Using the virtual learning environment of “Mathe im Advent” (MiA), we have analyzed possibly influential factors for the persistence of students, specifically prior mathematical and language abilities. Furthermore, we have connected linguistic indicators of text difficulty to fluctuations and differences in participating populations. MiA is a German virtual advent calendar offering 24 daily mathematical tasks with over 100,000 users annually. Survey results of the years 2017 and 2018 with over 8,000 participants were further analyzed. The result of the examination is that persistence, as well as the reparticipation of students strongly depended on prior mathematical knowledge and German abilities. This effect was especially visible when the language of the tasks was difficult and their readability was low.
先验知识作为持久性的预测因子
众所周知,先验知识在mooc的成功中起着很大的作用。利用“数学降临”(MiA)的虚拟学习环境,我们分析了学生持续学习的可能影响因素,特别是先前的数学和语言能力。此外,我们还将文本难度的语言指标与参与人群的波动和差异联系起来。MiA是一个德国虚拟降临日历,每天提供24个数学任务,每年有超过10万用户。进一步分析了2017年和2018年8000多名参与者的调查结果。考试的结果是,学生的坚持和再参与在很大程度上依赖于先前的数学知识和德语能力。当任务的语言较难且可读性较低时,这种效果尤其明显。
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