Title: Design of the autonomous learning system for students in remote open education based on MOOC
Authors: Yingwei Geng
Addresses: Admissions and Employment Office, Jiaozuo Normal College, Jiaozuo 454000, China
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.
Keywords: mass open online course; MOOC; remote open education; autonomous learning; system design.
International Journal of Industrial and Systems Engineering, 2022 Vol.40 No.4, pp.484 - 495
Received: 23 Dec 2019
Accepted: 29 Apr 2020
Published online: 13 May 2022 *