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

<p>Cognitive diagnosis, as an important means of personalized learning, has the advantage of being able to diagnose students’ knowledge levels and individual differences and provide targeted learning services. In this paper, we use the Markov Monte Carlo method to estimate the parameters in the FuzzyCDF model. Then, we calculate students’ English proficiency level and knowledge mastery by constructing fuzzy sets to realize the diagnosis and analysis of students’ English cognitive levels. Finally, the teaching model of English education in colleges and universities is built using the cognitive diagnosis method. The study shows that the teaching model can accurately and dynamically detect students’ cognitive level for each knowledge point in English teaching. After the implementation of the teaching model, the average score of the overall knowledge water of the students in the experimental class in English teaching reaches 77.25. There is a highly significant difference between it and the students in the control class (P=0.001&lt;0.01), which indicates that the implementation of the teaching model improves the cognitive level of the student’s English learning. This paper presents a novel idea for the improvement of English teaching in colleges and establishes the foundation for improving the effectiveness of English learning.</p>
</abstract>

Cognitive diagnosis, as an important means of personalized learning, has the advantage of being able to diagnose students’ knowledge levels and individual differences and provide targeted learning services. In this paper, we use the Markov Monte Carlo method to estimate the parameters in the FuzzyCDF model. Then, we calculate students’ English proficiency level and knowledge mastery by constructing fuzzy sets to realize the diagnosis and analysis of students’ English cognitive levels. Finally, the teaching model of English education in colleges and universities is built using the cognitive diagnosis method. The study shows that the teaching model can accurately and dynamically detect students’ cognitive level for each knowledge point in English teaching. After the implementation of the teaching model, the average score of the overall knowledge water of the students in the experimental class in English teaching reaches 77.25. There is a highly significant difference between it and the students in the control class (P=0.001<0.01), which indicates that the implementation of the teaching model improves the cognitive level of the student’s English learning. This paper presents a novel idea for the improvement of English teaching in colleges and establishes the foundation for improving the effectiveness of English learning.

Research on the Teaching Mode of College English Education based on Big Data Technology

Applied Mathematics and Nonlinear Sciences

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

Cognitive diagnosis, as an important means of personalized learning, has the advantage of being able to diagnose students’ knowledge levels and individual...

Research on the Teaching Mode of College English Education based on Big Data Technology

Published Online: Jul 09, 2024

Page range: -

Received: Mar 07, 2024

Accepted: May 22, 2024

DOI: https://doi.org/10.2478/amns-2024-1814

Keywords
Fuzzycdf, Cognitive diagnosis, Fuzzy sets, Parameter estimation, English teaching

© 2024 Lei Li., published by Sciendo

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

Research on the Teaching Mode of College English Education based on Big Data Technology

Published Online: Jul 09, 2024

Page range: -

Received: Mar 07, 2024

Accepted: May 22, 2024

DOI: https://doi.org/10.2478/amns-2024-1814

KeywordsFuzzycdf, Cognitive diagnosis, Fuzzy sets, Parameter estimation, English teaching

© 2024 Lei Li., published by Sciendo

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

Keywords
Fuzzycdf, Cognitive diagnosis, Fuzzy sets, Parameter estimation, English teaching