A hidden Markov model to characterise motivation level in MOOCs learning

Yuan Chen, Dongmei Han, Lihua Xia
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引用次数: 1

Abstract

The effect of MOOCs learning is closely related to the learning ability of learners. In order to study the change of learners' learning ability, this paper uses hidden Markov model to analyse the continuous learning process of MOOCs learners. Based on the data of learning platform of www.shlll.net, the model is established. The empirical results show that the distinction between learners' high and low learning ability is more obvious. Based on the above findings, this paper further analyses the learning behaviour differences of participants in learning activities and continuous learning. The method proposed in this paper provides a new way for the study of MOOCs learning, which is helpful for the development of MOOCs learning.
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一个描述mooc学习动机水平的隐马尔可夫模型
mooc的学习效果与学习者的学习能力密切相关。为了研究学习者学习能力的变化,本文采用隐马尔可夫模型对mooc学习者的持续学习过程进行分析。基于www.shlll.net学习平台的数据,建立模型。实证结果表明,学习者的高、低学习能力差异更为明显。在此基础上,本文进一步分析了参与者在学习活动和持续学习中的学习行为差异。本文提出的方法为mooc学习的研究提供了一条新的途径,有助于mooc学习的发展。
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