Influence of Teacher-Student Matching on Knowledge Innovation of College Students
Yuan Zhang, Jingdezhen Ceramic Institute, Jingdezhen 333403, China
iJET Volume 16, Number 1, ISSN 1863-0383 Publisher: International Journal of Emerging Technology in Learning, Kassel, Germany
The relationship between teacher-student matching and knowledge innovation of college students is constrained by multiple factors. Considering the multiple constraints, this paper explores deep into the influence of teacher-student matching on knowledge innovation of college students. Firstly, the internal correlation between the two factors was identified through analysis. Next, the detailed contents of the two factors were examined, and used to set up an analysis model to improve knowledge innovation of college students based on teacher-student matching. Grey system theory and analytic hierarchy process (AHP) were implemented in the modeling process. Finally, several strategies were put forward to promote knowledge innovation among college students, from the perspective of teacher-student matching. The research results provide a strong support to knowledge innovation in colleges.
Zhang, Y. (2021). Influence of Teacher-Student Matching on Knowledge Innovation of College Students. International Journal of Emerging Technologies in Learning (iJET), 16(1), 262-274. Kassel, Germany: International Journal of Emerging Technology in Learning.