Score Prediction Model of MOOCs Learners Based on Neural Network

Yuan Zhang, Wenbo Jiang

Abstract


Through analyzing the behavior data of MOOCs learners, a MOOCs learner's score prediction model is constructed based on clustering algorithm and neural network in this paper. By using this model, we can find out the neglected information and hidden learning rules in the MOOCs learning process. The model can provide personalized guidance for each user and improve learning efficiency. The model can provide personalized service to help learners form personalized learn-ing strategies, and it also can alert learners with low grades and risk of dropping out.

Keywords


massive open online course; score prediction model; data mining; clustering algo-rithm; neural network

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Copyright (c) 2018 Yuan Zhang, Wenbo Jiang


International Journal of Emerging Technologies in Learning. ISSN: 1863-0383
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