Personalized dynamic evaluation technology of online education quality management based on artificial intelligence big data

Author:

Bai Xujing1,Li Jiajun1

Affiliation:

1. School of Management, Northwestern Polytechnical University, Xi’an, China

Abstract

Limited by the difficulty of management, the quality of online education is far worse than the quality of classroom teaching. In order to improve the effect of online education quality management, according to the actual needs of online teaching, this article builds personalized dynamic evaluation technology based on artificial intelligence big data technology and uses evaluation as the center of teaching. Each link in the teaching is for the generation and development of evaluation, and the teaching plan takes the learning objectives as the basis for the entire teaching process. Moreover, this research combines the needs analysis to build each functional module and build a model framework on this basis. In addition, in order to verify the performance of the model, this article conducts model analysis through practical teaching methods. The research results show that the model constructed in this paper has good performance.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference32 articles.

1. Analysis and Design of University Teaching Evaluation System Based on JSP Platform[J];Huang;International Journal of Education & Management Engineering,2017

2. Questionnaire evaluating teaching competencies in the university environment, Evaluation of teaching competencies in the university[J];Murcia;Naer Journal of New Approaches in Educational Research,2015

3. Research on Fuzzy Comprehensive Evaluation in Practice Teaching Assessment of Computer Majors[J];Liu;International Journal of Modern Education & Computer Science,2015

4. Teaching performance evaluation by means of a hierarchical multifactorial evaluation model based on type-2 fuzzy sets[J];Zhou;Applied Intelligence,2016

5. Feedback of medical students on teaching and evaluation methodology in Physiology[J];Lalvarmawi;National Journal of Physiology Pharmacy & Pharmacology,2015

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