Proceedings of the 4th International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2019)

An Empirical Study on the Comprehensive Evaluation of Teaching and Learning Quality in Rain Classroom

Authors
Biao Zhang, Mengyu Dong, Geling Wang
Corresponding Author
Geling Wang
Available Online July 2019.
DOI
https://doi.org/10.2991/iccessh-19.2019.80How to use a DOI?
Keywords
Rain Classroom; evaluation model; cluster analysis; teaching quality
Abstract
In the mixed teaching mode of “Internet + education”, this paper extracts the wisdom classroom data of Rain Classroom of 81 majors and 5, 313 students comprehensively evaluating the teaching quality. The research shows that the evaluation model of teaching quality constructed by methods such as cluster analysis, LSD and reliability analysis has significant differences in the analysis of the comprehensive scores of the relevant professions using the rain classroom. Simultaneously, further Cronbach Coefficient Analysis also obtained the main influencing factors affecting the score of majors in this university. This study provides an empirical experience in the introduction of Rain Classroom for teaching quality evaluation. It also has certain reference significance in using smart teaching tools effectively to improve the quality of teaching.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Biao Zhang
AU  - Mengyu Dong
AU  - Geling Wang
PY  - 2019/07
DA  - 2019/07
TI  - An Empirical Study on the Comprehensive Evaluation of Teaching and Learning Quality in Rain Classroom
BT  - 4th International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2019)
PB  - Atlantis Press
SP  - 349
EP  - 353
SN  - 2352-5398
UR  - https://doi.org/10.2991/iccessh-19.2019.80
DO  - https://doi.org/10.2991/iccessh-19.2019.80
ID  - Zhang2019/07
ER  -