Construction of Online Teaching Quality Assurance Index System Based on Big Data and TQM Theory
- DOI
- 10.2991/978-94-6463-044-2_89How to use a DOI?
- Keywords
- big data technology; TQM theory; online teaching; quality assurance index
- Abstract
Through the analysis of the online teaching of teachers in universities and colleges, online teaching has key shortcomings in teaching technology concepts, teachers’ role reshaping, teacher-student interaction, teaching evaluation, etc. The root cause is that the online teaching quality assurance index system in colleges and universities has not been further improved in the data age, and has not played its due role in guiding teachers and students to solve problems and promoting online teaching reform. Based on big data technology and total quality management (TQM) theory, a systematic index system of online teaching quality assurance is constructed to clarify the main factors affecting the quality of online teaching and to help the healthy development of online teaching reform in colleges and universities.
- Copyright
- © 2022 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 - Lei Wang PY - 2022 DA - 2022/12/27 TI - Construction of Online Teaching Quality Assurance Index System Based on Big Data and TQM Theory BT - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022) PB - Atlantis Press SP - 706 EP - 711 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-044-2_89 DO - 10.2991/978-94-6463-044-2_89 ID - Wang2022 ER -