Predicting Student Performance and Motivation in Online Education - A Survey of Current Research Trends

Yerbol Baigarayev, Zhumat Abdimaulenov, Aizada Nurlanova, Birzhan Moldagaliyev
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Abstract

In recent years Online Education has emerged as a complementary medium of education for students from all over the world. Though online education has seen a rise in popularity, there are still problems to be solved, such as high dropout rates. This articles reviews studies that address the problems of predicting student performance, motivation and related concepts in the context of online education. The article provides some reviews of works on student motivation, as it plays a major role in high dropout rates. Apart of reviewing the prominent works in this field, the current paper proposed new directions of research that could shed more light into the problems in this research field.
预测在线教育中的学生表现和动机——当前研究趋势的调查
近年来,网络教育已成为世界各地学生教育的补充媒介。尽管在线教育越来越受欢迎,但仍有一些问题需要解决,比如辍学率高。本文回顾了在线教育背景下预测学生表现、动机和相关概念的研究。本文提供了一些关于学生动机的研究综述,因为它在高辍学率中起着重要作用。本文在回顾了该领域的重要研究成果的基础上,提出了新的研究方向,以期对该研究领域存在的问题有更深入的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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