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

<p>The rapid ascent of online learning has positioned it as a preeminent method of instruction. This rise prompts a critical examination of how online education can be seamlessly integrated with the development of craftsmanship skills, a pressing issue within the educational realm. This study addresses the challenge by proposing a novel learning analytics model tailored for vocational education. The model, which emphasizes process orientation, continual enhancement, and interactive engagement, is strategically applied to three key areas: identification of learning characteristics, analysis of learning behaviors, and scrutiny of online interactions. Such applications aim to bolster data-driven decisions in nurturing craftsmanship within vocational settings. Further, the research adopts the “Learning by Doing” approach to probe the inherent elements necessary for the endogenization of learning on vocational education online platforms with a focus on craftsmanship. The empirical findings reveal that the integration of online learning with variables such as vocational beliefs, virtues, attitudes, and aspirations—quantified by Beta values of 0.185, 0.142, 0.207, and 0.394, respectively— exerts a uniformly positive influence. These results underscore the efficacy of online vocational education in fostering craftsmanship, thereby enhancing the quality of talent development in vocational disciplines.</p>
</abstract>

The rapid ascent of online learning has positioned it as a preeminent method of instruction. This rise prompts a critical examination of how online education can be seamlessly integrated with the development of craftsmanship skills, a pressing issue within the educational realm. This study addresses the challenge by proposing a novel learning analytics model tailored for vocational education. The model, which emphasizes process orientation, continual enhancement, and interactive engagement, is strategically applied to three key areas: identification of learning characteristics, analysis of learning behaviors, and scrutiny of online interactions. Such applications aim to bolster data-driven decisions in nurturing craftsmanship within vocational settings. Further, the research adopts the “Learning by Doing” approach to probe the inherent elements necessary for the endogenization of learning on vocational education online platforms with a focus on craftsmanship. The empirical findings reveal that the integration of online learning with variables such as vocational beliefs, virtues, attitudes, and aspirations—quantified by Beta values of 0.185, 0.142, 0.207, and 0.394, respectively— exerts a uniformly positive influence. These results underscore the efficacy of online vocational education in fostering craftsmanship, thereby enhancing the quality of talent development in vocational disciplines.

Research on the Integration of Cultivation of Craftsmanship in Vocational Education and Online Platforms in the Context of the New Era

Applied Mathematics and Nonlinear Sciences

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

The rapid ascent of online learning has positioned it as a preeminent method of instruction. This rise prompts a critical examination of how online education...

Research on the Integration of Cultivation of Craftsmanship in Vocational Education and Online Platforms in the Context of the New Era

Publié en ligne: 05 août 2024

Pages: -

Reçu: 06 avr. 2024

Accepté: 04 juil. 2024

DOI: https://doi.org/10.2478/amns-2024-1888

Mots clés
Learning analytic model, Beta value, Artisan spirit, Online platform

© 2024 Furong Wen et al., published by Sciendo

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

Research on the Integration of Cultivation of Craftsmanship in Vocational Education and Online Platforms in the Context of the New Era

Publié en ligne: 05 août 2024

Pages: -

Reçu: 06 avr. 2024

Accepté: 04 juil. 2024

DOI: https://doi.org/10.2478/amns-2024-1888

Mots clésLearning analytic model, Beta value, Artisan spirit, Online platform

© 2024 Furong Wen et al., published by Sciendo

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

Mots clés
Learning analytic model, Beta value, Artisan spirit, Online platform