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    ARTICLE

    MOOC Learner’s Final Grade Prediction Based on an Improved Random Forests Method

    Yuqing Yang1, 3, Peng Fu2, *, Xiaojiang Yang1, 4, Hong Hong5, Dequn Zhou1

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2413-2423, 2020, DOI:10.32604/cmc.2020.011881

    Abstract Massive Open Online Course (MOOC) has become a popular way of online learning used across the world by millions of people. Meanwhile, a vast amount of information has been collected from the MOOC learners and institutions. Based on the educational data, a lot of researches have been investigated for the prediction of the MOOC learner’s final grade. However, there are still two problems in this research field. The first problem is how to select the most proper features to improve the prediction accuracy, and the second problem is how to use or modify the data mining algorithms for a better… More >

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