Research Article
Student Satisfaction Evaluation of Featured Online and Offline Mixed Teaching Mode Based on Chaoxing Online Education Network Platform
@INPROCEEDINGS{10.4108/eai.26-5-2023.2337243, author={Mengdi Wu and Jianmei Chen}, title={Student Satisfaction Evaluation of Featured Online and Offline Mixed Teaching Mode Based on Chaoxing Online Education Network Platform}, proceedings={Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={ICEKIM}, year={2023}, month={9}, keywords={online education information technology blended learning regression analysis}, doi={10.4108/eai.26-5-2023.2337243} }- Mengdi Wu
Jianmei Chen
Year: 2023
Student Satisfaction Evaluation of Featured Online and Offline Mixed Teaching Mode Based on Chaoxing Online Education Network Platform
ICEKIM
EAI
DOI: 10.4108/eai.26-5-2023.2337243
Abstract
Introducing information technology, visualization technology, and artificial intelli-gence technology, based on the Chaoxing online education network platform and the OBE concept, the "12467" online and offline hybrid teaching mode has been con-structed, empowered by "OBE+creativity". Based on 846 valid questionnaires, factor analysis and multiple linear regression analysis were used to study student satisfaction with this teaching model. The research results show that student satisfaction is very high, with a very satisfied proportion of 90%. Among the 9 research variables, 8 of them passed the significance test, and the optimization of online teaching content and the condition of online teaching facilities are key influencing factors. When improv-ing students' satisfaction with teaching models, it is necessary to focus on two aspects: improving the design of teaching content and increasing investment in teaching soft-ware and hardware facilities, such as increasing the construction of campus infor-mation networks, smart classrooms, and smart screens, and from the online education platform, we should actively optimize big data technology, actively use artificial intel-ligence technology, and effectively achieve human-computer interaction.
