Research on the Digital Monitoring System of Online Course Teaching Quality Under the Background of Big Data
Taking Advertising Design Major of Anhui Finance and Trade Vocational College as an Example
- DOI
- 10.2991/978-94-6463-012-1_80How to use a DOI?
- Keywords
- Big Data; Online Course; Teaching Quality; Digital Monitoring; Monitoring System
- Abstract
With the rapid development of digital technology, E-teaching has become a new task of vocational college. The outbreak of COVID-19 has promoted the rapid development of online courses, and also made the quality monitoring of online teaching a new problem to be solved. Based on the analysis of the traditional classroom teaching quality monitoring system and data analysis technology based in the era of big data, this article aims at the need to improve the teaching quality of online courses, and constructs the specific content of the online courses teaching quality digital monitoring system from the perspective of the monitoring elements of curriculum teaching quality through big data analysis technology. And taking the core courses of advertising design major of Anhui Finance and Trade Vocational College as an example to verify the feasibility of the digital monitoring system. The research results could provide a technical reference for the monitoring and management of the teaching quality of university and college courses.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Rui Wang PY - 2022 DA - 2022/12/09 TI - Research on the Digital Monitoring System of Online Course Teaching Quality Under the Background of Big Data BT - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PB - Atlantis Press SP - 734 EP - 741 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-012-1_80 DO - 10.2991/978-94-6463-012-1_80 ID - Wang2022 ER -