Outline

Ingegneria Sismica

Ingegneria Sismica

Research on Evaluating the Quality of Civic Education Evaluation in Colleges and Universities in the New Media Era Based on Artificial Intelligence

Author(s): Xiangdong Zhang1
1School of Marxism, Jiaxing Vocational & Technical College, Zhejiang Jiaxing 314036, China
Zhang, Xiangdong. “Research on Evaluating the Quality of Civic Education Evaluation in Colleges and Universities in the New Media Era Based on Artificial Intelligence.” Ingegneria Sismica Volume 43 Issue 1: 1-15, doi:10.65102/is2026433.

Abstract

At present, the evaluation and assessment of Civics and Political Science courses in colleges and universities still face a number of problems, including insufficient recognition of the importance of evaluation, an imperfect indicator framework, and the limited effectiveness of the application of assessment results. To address these issues, this paper proposes a binary semantic evaluation method by taking the processing of linguistic evaluation information as the starting point. Linguistic descriptions of the quality of civics and political education are transformed into binary semantic expressions through a conversion function, and the definition of a binary semantic weighted averaging operator is derived on the basis of their ordered characteristics. In combination with the entropy weighting approach, the comprehensive weights of the indicators are jointly determined, and the binary semantic set pair operator is then employed to calculate the overall evaluation value of the object under assessment. By using the constructed model that integrates binary semantics and entropy weighting to evaluate the quality of ideology and politics education, a normalized feature vector is obtained through calculation. The results show that “teaching attitude” and “teaching content” account for relatively high weights in the whole indicator system, reaching 0.395 and 0.274, respectively. At the second-level indicator layer, students’ comprehensive mastery and enhanced ability achieve the highest scores, which is consistent with the dimensional score of the first-level indicator, at 67.63, indicating that during the implementation of Civic Education, students are able to acquire comprehensive knowledge and strengthen their civic learning ability. According to the corresponding rubric, the evaluation level of the second-level indicators is concentrated mainly at the excellent level, with nine indicators classified as excellent in total. From an overall perspective, the quality level of Civic and Political Education in SL universities can be regarded as excellent and is generally at a relatively good standard.

Keywords
binary semantics; entropy weight method; normalized feature vector; quality of civic and political education; comprehensive evaluation value

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