<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>This paper begins with the multi-level processing of instructional multi-source data using information fusion techniques, with varying degrees of abstraction of the raw data for each level of processing. The set of all possible outcomes that an instructional framework can recognize for a given instructional problem is identified through D-S evidence theory. Secondly, the <italic>m</italic> factors that affect the object of teaching evaluation are grouped into the set of factors affecting the evaluation by fuzzy evaluation method, and their factor set weight values are calculated. Finally, the teaching quality evaluation system was constructed based on the factor set weight values. The results show that the experimental obtained Kendall’s harmony coefficient reaches 0.9028, and the evaluation is reliable. The overall score rate in teaching and assessment evaluation is 0.71 to reach the expected value, which indicates that the teaching quality evaluation index system established this time has relatively good internal consistency. The evaluation index system constructed in this paper makes the classroom teaching evaluation highly operable, which can be accepted by students and teachers in the evaluation process and ensures the accuracy of the evaluation results.</p>
</abstract>

This paper begins with the multi-level processing of instructional multi-source data using information fusion techniques, with varying degrees of abstraction of the raw data for each level of processing. The set of all possible outcomes that an instructional framework can recognize for a given instructional problem is identified through D-S evidence theory. Secondly, the m factors that affect the object of teaching evaluation are grouped into the set of factors affecting the evaluation by fuzzy evaluation method, and their factor set weight values are calculated. Finally, the teaching quality evaluation system was constructed based on the factor set weight values. The results show that the experimental obtained Kendall’s harmony coefficient reaches 0.9028, and the evaluation is reliable. The overall score rate in teaching and assessment evaluation is 0.71 to reach the expected value, which indicates that the teaching quality evaluation index system established this time has relatively good internal consistency. The evaluation index system constructed in this paper makes the classroom teaching evaluation highly operable, which can be accepted by students and teachers in the evaluation process and ensures the accuracy of the evaluation results.

The construction of teaching quality evaluation system of health management majors in universities based on information fusion technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper begins with the multi-level processing of instructional multi-source data using information fusion techniques, with varying degrees of abstraction...

The construction of teaching quality evaluation system of health management majors in universities based on information fusion technology

Online veröffentlicht: 30. Sept. 2023

Seitenbereich: -

Eingereicht: 20. Okt. 2022

Akzeptiert: 10. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00407

Schlüsselwörter
Factor set weight, Teaching quality evaluation, Information fusion technology, D-S evidence theory, Fuzzy evaluation method.

© 2023 Xue Bai, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The construction of teaching quality evaluation system of health management majors in universities based on information fusion technology

Online veröffentlicht: 30. Sept. 2023

Seitenbereich: -

Eingereicht: 20. Okt. 2022

Akzeptiert: 10. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00407

SchlüsselwörterFactor set weight, Teaching quality evaluation, Information fusion technology, D-S evidence theory, Fuzzy evaluation method.

© 2023 Xue Bai, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Factor set weight, Teaching quality evaluation, Information fusion technology, D-S evidence theory, Fuzzy evaluation method.