Title: Dynamic evaluation method of distance learning quality based on MOOC theory
Authors: Lin Zeng; Jun-cheng Wang; Xiao-long Wen; Henry Loghej
Addresses: Science and Technology College, Nan Chang Hang Kong University, Nanchang 332020, China ' Science and Technology College, Nan Chang Hang Kong University, Nanchang 332020, China ' College of Civil Engineering, Hunan City University, Yiyang, Hunan, 413000, China ' College of Education, The University of Alabama, Tuscaloosa, AL 35487, USA
Abstract: In order to improve the accuracy of distance education quality evaluation, a dynamic evaluation method of distance education quality based on the theory of MOOC is proposed. The fuzzy correlation constraint method is used to evaluate the remote MOOC teaching quality dynamically. The big data in the process of the dynamic evaluation of the remote MOOC teaching quality is mined by association rules to obtain the binary semantic features of the remote MOOC teaching quality. The dynamic feature set of remote MOOC teaching quality evaluation is constructed, and the decision function of remote MOOC teaching quality evaluation is constructed by fuzzy c-means clustering method. Through the similarity fusion method, the dynamic evaluation of the remote MOOC teaching quality is carried out. The simulation results show that the method can evaluate the quality of MOOC teaching dynamically and has high precision.
Keywords: MOOC theory; distance learning; quality; dynamic evaluation; fuzzy correlation constraints.
International Journal of Continuing Engineering Education and Life-Long Learning, 2022 Vol.32 No.2, pp.216 - 226
Received: 26 Nov 2019
Accepted: 01 Apr 2020
Published online: 07 Apr 2022 *