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An Intelligent Evaluation Method of MOOC Learning Efficiency Based on Koch Model

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e-Learning, e-Education, and Online Training (eLEOT 2022)

Abstract

In view of the poor application effect of current MOOC learning efficiency evaluation methods, this study proposed an intelligent evaluation method of MOOC learning efficiency based on Corleone model. Firstly, corleone model is used to select evaluation indexes of MOOC learning efficiency, and an intelligent evaluation system of teaching learning efficiency is constructed. Then optimize the teaching efficiency intelligent assessment steps. The experimental results show that the method has high practicability and accuracy in practical application, and the students can master the knowledge better after applying the method.

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Correspondence to Yangbo Wu .

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wu, Y., Wan, M., Lin, Y., Ng, G.W. (2022). An Intelligent Evaluation Method of MOOC Learning Efficiency Based on Koch Model. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-21164-5_53

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  • DOI: https://doi.org/10.1007/978-3-031-21164-5_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21163-8

  • Online ISBN: 978-3-031-21164-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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