Abstract

This study derived an evaluation model that overcomes the various problems in the evaluation of online learning effect. Firstly, the influencing factors in the online learning process were discussed in the paper, pointing out the direction to enhance the online learning effect. Next, a multidimensional evaluation index system was established for online learning effect. Meanwhile, the evaluation of online learning effect was treated as a fuzzy evaluation problem with multiple attributes, and an improved evaluation model for online learning effect was proposed based on fuzzy mathematics theory. The proposed model can evaluate the online learning effect effectively, and enjoy a good prospect of application.

Highlights

  • Online learning is an important teaching form in modern education

  • To achieve the ideal online learning effect, this paper proposes that the online teaching should pay special attention to the follows aspects: in terms of curriculum system planning, online teaching should pay more attention to the connection between courses; in terms content design, online teaching needs to pay more attention to the sharing of teaching content; in terms teaching scheme formulation, online teaching needs to pay more attention to the configurability of teaching schemes; in terms of teaching goal setting, online teaching needs to pay more attention to the social adaptability of the teaching goals

  • In order to get an online learning effect evaluation index system that is close to the real situation, the evaluation indexes should be selected reasonably and scientifically

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Summary

Introduction

Online learning is an important teaching form in modern education. Nowadays, as the modern education technologies are becoming more and more intelligent, online learning is playing an increasingly important role in modern education [1,2,3,4]. Existing literatures do have some guiding significance for the evaluation of online learning effect, in view of the different research perspectives of different scholars, the existing evaluation index systems of online learning effect are incomplete and imperfect, there is room for further research. To this end, this paper employed fuzzy mathematics to analyze the online learning effect evaluation problem and improve the evaluation index system and evaluation model, in the hopes of providing a good reference for the effective and accurate evaluation of online learning effect. The content of the paper is arranged as follows: the first part summarizes relevant research concerning the evaluation of online learning effect; the second part analyzes the influencing factors; the third part constructs a multi-dimensional online learning effect evaluation index system; the fourth part establishes the multi-index fuzzy evaluation model of online learning effect; and the fifth part draws the research conclusion

Curriculum design and planning of online courses
Construction of online learning platforms
Allocation of online learning resources
Online learning environment
Online learning interactivity
Faculty of online learning
Course implementation of online learning
Evaluation index selection
Division of dimensions of online learning effect evaluation
Construction of evaluation index system
Evaluation index system
Normalization of evaluation indexes
Weight values of evaluation indexes based on AHP
Weight values of evaluation indexes based on entropy weight method
Comprehensive weight values of the evaluation indexes
Division of evaluation levels
Generation of the whitening weight functions
Implementation of the evaluation model and the algorithm
Conclusion

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