Score Prediction Model of MOOCs Learners Based on Neural Network ARTICLE
Yuan Zhang, Qinhuangdao Institute of Technology ; Wenbo Jiang, Hebei University of Environmental Engineering
iJET Volume 13, Number 10, ISSN 1863-0383 Publisher: International Association of Online Engineering, Kassel, Germany
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.
Zhang, Y. & Jiang, W. (2018). Score Prediction Model of MOOCs Learners Based on Neural Network. International Journal of Emerging Technologies in Learning (iJET), 13(10), 171-182. Kassel, Germany: International Association of Online Engineering. Retrieved November 18, 2018 from https://www.learntechlib.org/p/185283/.