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<p>Labor education is an important educational course for secondary school students to learn and grow comprehensively. This paper first collects the current improvement direction of secondary school labor education through relevant questionnaires and then introduces cloud computing technology to design an online learning platform for secondary school labor education courses, which assists teachers in completing the labor teaching process. The design of the platform adopts MVC development mode, AJAX asynchronous refresh technology, and other key technologies, analyzes the requirements from three aspects of objectives, performance, and functions, and finally realizes five major modules, including user management, course management, and evaluation management. To address the problem of insufficient evaluation of labor courses, this paper constructs a model of students’ online learning behavior based on the K-means algorithm in the application process of the platform and evaluates the behavior of students’ online participation in labor education courses. By standardizing students’ platform learning information data and analyzing and calculating the learning behaviors of 300 students can be divided into 4 categories, accounting for 16.0%, 34.3%, 23.0%, and 26.7%, respectively, and the teachers of the labor courses can formulate personalized teaching plans for each type of labor learning behavior.</p>
</abstract>

Labor education is an important educational course for secondary school students to learn and grow comprehensively. This paper first collects the current improvement direction of secondary school labor education through relevant questionnaires and then introduces cloud computing technology to design an online learning platform for secondary school labor education courses, which assists teachers in completing the labor teaching process. The design of the platform adopts MVC development mode, AJAX asynchronous refresh technology, and other key technologies, analyzes the requirements from three aspects of objectives, performance, and functions, and finally realizes five major modules, including user management, course management, and evaluation management. To address the problem of insufficient evaluation of labor courses, this paper constructs a model of students’ online learning behavior based on the K-means algorithm in the application process of the platform and evaluates the behavior of students’ online participation in labor education courses. By standardizing students’ platform learning information data and analyzing and calculating the learning behaviors of 300 students can be divided into 4 categories, accounting for 16.0%, 34.3%, 23.0%, and 26.7%, respectively, and the teachers of the labor courses can formulate personalized teaching plans for each type of labor learning behavior.

Research on the optimization of teaching content for cloud computing technology in secondary school labor education curriculum

Applied Mathematics and Nonlinear Sciences

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

Labor education is an important educational course for secondary school students to learn and grow comprehensively. This paper first collects the current...

Research on the optimization of teaching content for cloud computing technology in secondary school labor education curriculum

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 04. Apr. 2024

Akzeptiert: 03. Juli 2024

DOI: https://doi.org/10.2478/amns-2024-2180

Schlüsselwörter
Cloud computing, K-means algorithm, Asynchronous refresh, MVC, Labor education

© 2024 Dongxia Mo et al., published by Sciendo

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

Research on the optimization of teaching content for cloud computing technology in secondary school labor education curriculum

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 04. Apr. 2024

Akzeptiert: 03. Juli 2024

DOI: https://doi.org/10.2478/amns-2024-2180

SchlüsselwörterCloud computing, K-means algorithm, Asynchronous refresh, MVC, Labor education

© 2024 Dongxia Mo et al., published by Sciendo

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

Schlüsselwörter
Cloud computing, K-means algorithm, Asynchronous refresh, MVC, Labor education