<abstract xmlns="http://www.w3.org/1999/xhtml">

This paper examines the concept of deep learning and evaluates the quality of teaching models in primary and secondary schools. Based on the comprehensive evaluation application of fuzzy theory, the fuzzy model is established, the evaluation index scheme is selected, and the quality evaluation model of primary and secondary school teaching mode is constructed. The evaluation index system is divided into indexes, and the weights of indexes are calculated, and the first-level indexes are divided into teaching content, teaching management, teaching effect, and teaching attitude. Calculate the fuzzy comprehensive evaluation score of primary and secondary school teaching mode and adjust the primary and secondary school teaching mode based on the score. The final score of a comprehensive evaluation of teaching mode is 4.32, teaching content <italic>Q</italic>1 = 4.33, teaching attitude <italic>Q</italic>2 = 4.26, teaching management <italic>Q</italic>3 = 4.43, and teaching effect <italic>Q</italic>4 = 4.05. In the quality evaluation of primary and secondary school teaching mode, teaching management > teaching content > teaching attitude > teaching effect.
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This paper examines the concept of deep learning and evaluates the quality of teaching models in primary and secondary schools. Based on the comprehensive evaluation application of fuzzy theory, the fuzzy model is established, the evaluation index scheme is selected, and the quality evaluation model of primary and secondary school teaching mode is constructed. The evaluation index system is divided into indexes, and the weights of indexes are calculated, and the first-level indexes are divided into teaching content, teaching management, teaching effect, and teaching attitude. Calculate the fuzzy comprehensive evaluation score of primary and secondary school teaching mode and adjust the primary and secondary school teaching mode based on the score. The final score of a comprehensive evaluation of teaching mode is 4.32, teaching content Q1 = 4.33, teaching attitude Q2 = 4.26, teaching management Q3 = 4.43, and teaching effect Q4 = 4.05. In the quality evaluation of primary and secondary school teaching mode, teaching management > teaching content > teaching attitude > teaching effect.

Optimisation and Quality Evaluation of Teaching Models in Primary and Secondary Schools Based on Deep Learning

Applied Mathematics and Nonlinear Sciences

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

This paper examines the concept of deep learning and evaluates the quality of teaching models in primary and secondary schools. Based on the comprehensive...

Optimisation and Quality Evaluation of Teaching Models in Primary and Secondary Schools Based on Deep Learning

Pubblicato online: 20 nov 2023

Pagine: -

Ricevuto: 01 mar 2023

Accettato: 31 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.01195

Parole chiave
Fuzzy comprehensive evaluation, Quality evaluation, Deep learning, Evaluation index system, Primary and secondary school teaching

© 2023 Yongxian Qin, published by Sciendo

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

Optimisation and Quality Evaluation of Teaching Models in Primary and Secondary Schools Based on Deep Learning

Pubblicato online: 20 nov 2023

Pagine: -

Ricevuto: 01 mar 2023

Accettato: 31 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.01195

Parole chiaveFuzzy comprehensive evaluation, Quality evaluation, Deep learning, Evaluation index system, Primary and secondary school teaching

© 2023 Yongxian Qin, published by Sciendo

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

Parole chiave
Fuzzy comprehensive evaluation, Quality evaluation, Deep learning, Evaluation index system, Primary and secondary school teaching