Abstract
Students' evaluation of teaching is a key link to realize teaching quality monitoring and promote teachers' teaching level. Based on the practice of student evaluation in our university, this paper constructs a multi-level student evaluation system, and develops an online student evaluation system by using JFinal+webix integration framework. The new Internet plus evaluation model is established to improve the efficiency of student evaluation and the enthusiasm of students to evaluate teaching. Meanwhile, based on the analysis of students' comments on teaching by Baidu AI platform, It provides data support for the improvement of learning level and the optimization of teaching evaluation.
Highlights
In the process of the popularization of higher education, the most prominent problem is how to ensure the quality of teaching
The school attaches great importance to the improvement of education and teaching quality, and has carried out a large number of empirical research and pilot application work in the aspects of innovative teaching mode and method, teaching quality system guarantee reform, etc. in order to actively respond to the school's innovative measures in student evaluation of teaching, it is urgent to establish an efficient and convenient online student evaluation system to realize multi-level learning At the same time, based on Baidu AI platform, emotional analysis, processing and classification of students' teaching evaluation opinions are carried out to form teachers' evaluation summary, which provides important data support for the improvement of school teaching quality
We use Baidu AI platform to help teaching diagnosis, and locate the classroom by analyzing students' teaching evaluation opinions There are some problems in teaching, so as to promote teachers to attach importance to teaching and support the teaching quality assurance of schools and the analysis of teachers' learning situation
Summary
In the process of the popularization of higher education, the most prominent problem is how to ensure the quality of teaching. With the development of Web technology and the construction of intelligent campus in universities, colleges and universities have gradually abandoned traditional student evaluation methods, and adopted the Internet plus evaluation method to build a new student evaluation mode. In order to actively respond to the school's innovative measures in student evaluation of teaching, it is urgent to establish an efficient and convenient online student evaluation system to realize multi-level learning At the same time, based on Baidu AI platform, emotional analysis, processing and classification of students' teaching evaluation opinions are carried out to form teachers' evaluation summary, which provides important data support for the improvement of school teaching quality The school attaches great importance to the improvement of education and teaching quality, and has carried out a large number of empirical research and pilot application work in the aspects of innovative teaching mode and method, teaching quality system guarantee reform, etc. in order to actively respond to the school's innovative measures in student evaluation of teaching, it is urgent to establish an efficient and convenient online student evaluation system to realize multi-level learning At the same time, based on Baidu AI platform, emotional analysis, processing and classification of students' teaching evaluation opinions are carried out to form teachers' evaluation summary, which provides important data support for the improvement of school teaching quality
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