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<p>With the continuous development of education, the way English education presents itself has become more and more complex and diversified. This study focuses on the problem of low quality and efficiency in English teaching, and it centers on the characteristics of perception and behavior in English teaching. To collect data on perception and behavior in English teaching, we first utilize the association rule method in data mining technology. Then, we introduce the technology acceptance model and design the English teaching model of “Knowing and Doing” by combining the collected data. The timeliness of the English teaching model in practice is investigated using the fuzzy comprehensive evaluation method on this basis. The English teaching model designed in this paper improved by 10.688 points compared to the previous one, and the improvement was 1.307 points in the third month. In the correlation rule analysis, it can be seen that the probability of English grade A (90 or above) is 70.4% when perceived ease of use, usefulness, and learning behavior occur simultaneously. This study proves the feasibility of the English teaching model in this paper and provides a useful reference for the development of the English teaching model in the future.</p>
</abstract>

With the continuous development of education, the way English education presents itself has become more and more complex and diversified. This study focuses on the problem of low quality and efficiency in English teaching, and it centers on the characteristics of perception and behavior in English teaching. To collect data on perception and behavior in English teaching, we first utilize the association rule method in data mining technology. Then, we introduce the technology acceptance model and design the English teaching model of “Knowing and Doing” by combining the collected data. The timeliness of the English teaching model in practice is investigated using the fuzzy comprehensive evaluation method on this basis. The English teaching model designed in this paper improved by 10.688 points compared to the previous one, and the improvement was 1.307 points in the third month. In the correlation rule analysis, it can be seen that the probability of English grade A (90 or above) is 70.4% when perceived ease of use, usefulness, and learning behavior occur simultaneously. This study proves the feasibility of the English teaching model in this paper and provides a useful reference for the development of the English teaching model in the future.

Design and Timeliness Analysis of English Teaching Models in Colleges and Universities Combining Perceptual and Behavioral Correlation Algorithms

Applied Mathematics and Nonlinear Sciences

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

With the continuous development of education, the way English education presents itself has become more and more complex and diversified. This study focuses on...

Design and Timeliness Analysis of English Teaching Models in Colleges and Universities Combining Perceptual and Behavioral Correlation Algorithms

Online veröffentlicht: 30. Mai 2024

Seitenbereich: -

Eingereicht: 20. Feb. 2024

Akzeptiert: 01. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1249

Schlüsselwörter
Fuzzy synthesis, Technology acceptance model, Data mining, Association rules, English language teaching model

© 2024 Lingyan Chen, published by Sciendo

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

Design and Timeliness Analysis of English Teaching Models in Colleges and Universities Combining Perceptual and Behavioral Correlation Algorithms

Online veröffentlicht: 30. Mai 2024

Seitenbereich: -

Eingereicht: 20. Feb. 2024

Akzeptiert: 01. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1249

SchlüsselwörterFuzzy synthesis, Technology acceptance model, Data mining, Association rules, English language teaching model

© 2024 Lingyan Chen, published by Sciendo

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

Schlüsselwörter
Fuzzy synthesis, Technology acceptance model, Data mining, Association rules, English language teaching model