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

To solve the problems of the traditional embedded software development teaching platform, such as the heavy load on the server side, resulting in the slow response speed and poor experience of users, this paper proposes a computer-aided English writing teaching model from the perspective of the Internet of things. Based on the cloud platform, the system manages the resources of computers scattered on the server and client, to improve the efficiency of resource retrieval. In addition, based on the fuzzy logic model, the system can evaluate and evaluate students’ knowledge and learning achievements according to students’ preferences for cognition and knowledge acquisition. The experimental results show that motivation (μmot), attitude (μatt), extroversion (μext) and self-esteem (µsel) are positively correlated with students’ performance, and the data are 0.608, 0.533, 0.595 and 0.477 respectively, while introversion (µint) and anxiety (µanx) are negatively correlated with students’ performance, and the data are −0.464, −0.618. Conclusion: from the perspective of the Internet of Things, the computer-assisted English writing teaching model has good performance and can play a positive role in improving students’ grades.
</abstract>

To solve the problems of the traditional embedded software development teaching platform, such as the heavy load on the server side, resulting in the slow response speed and poor experience of users, this paper proposes a computer-aided English writing teaching model from the perspective of the Internet of things. Based on the cloud platform, the system manages the resources of computers scattered on the server and client, to improve the efficiency of resource retrieval. In addition, based on the fuzzy logic model, the system can evaluate and evaluate students’ knowledge and learning achievements according to students’ preferences for cognition and knowledge acquisition. The experimental results show that motivation (μmot), attitude (μatt), extroversion (μext) and self-esteem (µsel) are positively correlated with students’ performance, and the data are 0.608, 0.533, 0.595 and 0.477 respectively, while introversion (µint) and anxiety (µanx) are negatively correlated with students’ performance, and the data are −0.464, −0.618. Conclusion: from the perspective of the Internet of Things, the computer-assisted English writing teaching model has good performance and can play a positive role in improving students’ grades.

Construction of computer-assisted English writing teaching model from the perspective of the Internet of Things

Applied Mathematics and Nonlinear Sciences

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

To solve the problems of the traditional embedded software development teaching platform, such as the heavy load on the server side, resulting in the slow...

Construction of computer-assisted English writing teaching model from the perspective of the Internet of Things

Pubblicato online: 29 giu 2023

Pagine: 2827 - 2838

Ricevuto: 04 ott 2022

Accettato: 03 gen 2023

DOI: https://doi.org/10.2478/amns.2023.1.00462

Parole chiave
English writing, Intelligent assistant teaching, Cloud service platform, fuzzy logic

© 2023 Fang Liu, published by Sciendo

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

Construction of computer-assisted English writing teaching model from the perspective of the Internet of Things

Pubblicato online: 29 giu 2023

Pagine: 2827 - 2838

Ricevuto: 04 ott 2022

Accettato: 03 gen 2023

DOI: https://doi.org/10.2478/amns.2023.1.00462

Parole chiaveEnglish writing, Intelligent assistant teaching, Cloud service platform, fuzzy logic

© 2023 Fang Liu, published by Sciendo

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

Parole chiave
English writing, Intelligent assistant teaching, Cloud service platform, fuzzy logic