Design and Application of Evaluation Method for Civics Classroom Based on CRITIC Fuzzy Algorithm

Authors

DOI:

https://doi.org/10.4108/eetsis.4217

Keywords:

fuzzy comprehensive evaluation, CRITIC, evaluation method, civics classroom

Abstract

INTRODUCTION: Through in-depth study of Civics classroom evaluation, it can provide teachers with scientific evaluation indexes and methods, improve teaching quality and effect, promote the overall development of students, and also promote the professional growth of teachers.

OBJECTIVES: Based on critical and fuzzy comprehensive evaluation methods, this study aims to study the effectiveness and accuracy of the evaluation methods in Civics and Politics classrooms. Based on the CRITIC method, the fuzzy comprehensive evaluation method was introduced to solve the problem of subjectivity and uncertainty in the evaluation process.

METHODS: Various research methods were used, including observation, interviews, and questionnaires. By comprehensively analyzing the students' performance, feedback, and assessment, and the teachers' pre-course preparation, the advantages and improvement directions of Civics classroom teaching can be accurately evaluated using the CRITIC and fuzzy comprehensive evaluation methods.

RESULTS: The study results show that the CRITIC and fuzzy comprehensive evaluation methods can provide a more comprehensive, accurate, and objective evaluation of the Civics classroom. The undefined complete evaluation method plays an essential role in dealing with ambiguity and uncertainty in the evaluation process, making the evaluation results more objective and reliable.

CONCLUSION: The Civics classroom evaluation method based on the CRITIC and fuzzy comprehensive evaluation methods is adequate and accurate. These findings strongly support improving the quality of Civics classroom teaching and enhancing students' learning outcomes.

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Published

24-10-2023

How to Cite

1.
Chang Z. Design and Application of Evaluation Method for Civics Classroom Based on CRITIC Fuzzy Algorithm . EAI Endorsed Scal Inf Syst [Internet]. 2023 Oct. 24 [cited 2024 Dec. 22];11(1). Available from: https://publications.eai.eu/index.php/sis/article/view/4217