An exploratory analysis on MOOCs retention and certification in two courses of different knowledge areas

Ruth Cobos Pérez, F. Jurado
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引用次数: 3

Abstract

The massive quantity of learners generating information related to Massive Open Online Courses (MOOCs) make researchers analyze large datasets about the learners' profile, interaction, satisfaction, etc. and these datasets can come from multiple data sources related to the same or different courses. This paper details the conducted exploratory analysis performed with data from two different MOOCs of different knowledge areas to check the factors that influence the learners' retention and certification. The preliminary results we obtained allow us to provide some conclusions with the aim to keep researching in order to generalize our achievements.
MOOCs两门不同知识领域课程的保留与认证探析
大规模在线开放课程(massive Open Online Courses, MOOCs)中大量学习者产生的相关信息,使得研究人员需要分析大量学习者的个人资料、互动、满意度等数据集,这些数据集可以来自多个相同或不同课程相关的数据源。本文详细介绍了对两个不同知识领域的mooc的数据进行的探索性分析,以检查影响学习者保留和认证的因素。我们获得的初步结果使我们能够提供一些结论,目的是继续研究,以推广我们的成果。
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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