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Design of the autonomous learning system for students in remote open education based on MOOC

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  • Yingwei Geng

Abstract

In order to realise the new education mode of students' autonomous learning and meet the learning needs of open education, this paper proposes the design of students' autonomous learning system based on MOOC. First of all, the embedded scheduling method is used to sample the students' information, the distance open education independent learning resources are used, and the sampling information and statistical average analysis method are used to control the students' autonomous learning mode in MOOC. Through the adaptive optimisation of machine learning, the autonomous learning system of students in distance open education is optimised and simulated. The result shows that this method has a good adaptive ability in distance open education, and effectively enhances the autonomous learning ability of distance education students.

Suggested Citation

  • Yingwei Geng, 2022. "Design of the autonomous learning system for students in remote open education based on MOOC," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 40(4), pages 484-495.
    • Handle: RePEc:ids:ijisen:v:40:y:2022:i:4:p:484-495
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