Title: An online teaching process monitoring method of MOOC platform based on video recognition

Authors: Humin Yang; Jiefeng Wang

Addresses: College of Education, Fuyang Normal University, Fuyang, 236037, China ' College of Education, Fuyang Normal University, Fuyang, 236037, China

Abstract: In order to overcome the problem of low monitoring accuracy of traditional methods, a new online teaching process monitoring method based on video recognition for MOOC platform is proposed. The weight coefficient of online teaching process monitoring information of MOOC platform is calculated, and the monitoring information is reconstructed. On this basis, video recognition method is used to mine the online teaching process monitoring information of MOOC platform. Through the construction of monitoring model, the online teaching process monitoring of MOOC platform is realised. The experimental results show that the mean square error analysis results of the monitoring method based on video recognition verify that the effect of different gender students is different. The method has high correction coefficient, high monitoring accuracy and good application effect, which can effectively improve the effect of students' online learning.

Keywords: video recognition; MOOC platform; online teaching; process monitoring.

DOI: 10.1504/IJCEELL.2023.129203

International Journal of Continuing Engineering Education and Life-Long Learning, 2023 Vol.33 No.2/3, pp.149 - 163

Received: 24 Nov 2020
Accepted: 18 Jan 2021
Published online: 01 Mar 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article