Fuzzy comprehensive evaluation of teaching quality is an important part of blended teaching quality management, which has positive significance and important role in improving the quality of blended teaching, for this reason, we put forward the research on fuzzy comprehensive evaluation of blended teaching quality based on the fusion of multi-source information. By considering learning attitude, process, and effect as key first-level evaluation metrics, we establish a framework for a fuzzy comprehensive evaluation of blended teaching quality. This framework is further expanded by selecting second and third-level indicators. To determine the importance of these indicators, we apply the hierarchical analysis method. Additionally, we incorporate multi-source information fusion technology to conduct a thorough analysis of the indicators, ultimately leading to the calculation of scores and grades for blended teaching quality. This approach offers a robust and comprehensive method for evaluating blended teaching quality using fuzzy comprehensive evaluation techniques combined with multi-source information fusion. The experiment proves that the Spearman's correlation coefficient and consistency coefficient of the evaluation results of the design method are above 0.9, which can realize the fuzzy comprehensive and accurate evaluation of the blended teaching quality.

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A Study on Fuzzy Comprehensive Evaluation of Blended Teaching Quality Based on Multi-source Information Fusion

  • Lei Ma,
  • Hongxue Yang,
  • Jingyu Li,
  • Jiatong Wei

摘要

Fuzzy comprehensive evaluation of teaching quality is an important part of blended teaching quality management, which has positive significance and important role in improving the quality of blended teaching, for this reason, we put forward the research on fuzzy comprehensive evaluation of blended teaching quality based on the fusion of multi-source information. By considering learning attitude, process, and effect as key first-level evaluation metrics, we establish a framework for a fuzzy comprehensive evaluation of blended teaching quality. This framework is further expanded by selecting second and third-level indicators. To determine the importance of these indicators, we apply the hierarchical analysis method. Additionally, we incorporate multi-source information fusion technology to conduct a thorough analysis of the indicators, ultimately leading to the calculation of scores and grades for blended teaching quality. This approach offers a robust and comprehensive method for evaluating blended teaching quality using fuzzy comprehensive evaluation techniques combined with multi-source information fusion. The experiment proves that the Spearman's correlation coefficient and consistency coefficient of the evaluation results of the design method are above 0.9, which can realize the fuzzy comprehensive and accurate evaluation of the blended teaching quality.