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<p>This research investigates the application of immersive teaching in Civics, enhanced by knowledge distillation techniques. We employed feature distillation and sample-balanced distillation algorithms to refine both the teacher and student networks, ensuring effective content delivery and deeper knowledge acquisition. Experimental results demonstrate that the student networks, optimized with distillation and identification loss, significantly outperform their unoptimized counterparts in feature retention. Furthermore, the integration of IDA data enhancement and kvDKD decoupled knowledge distillation methods substantially boosts the model’s efficiency and accuracy. Our teaching experiments revealed heightened student engagement and learning outcomes in Civics, with all students covering 8 of 12 topics and an average of 27 students scoring above 95 per topic. A comparative analysis with a control group confirms the efficacy of immersive teaching approaches in improving student performance and the quality of Civics education.</p>
</abstract>

This research investigates the application of immersive teaching in Civics, enhanced by knowledge distillation techniques. We employed feature distillation and sample-balanced distillation algorithms to refine both the teacher and student networks, ensuring effective content delivery and deeper knowledge acquisition. Experimental results demonstrate that the student networks, optimized with distillation and identification loss, significantly outperform their unoptimized counterparts in feature retention. Furthermore, the integration of IDA data enhancement and kvDKD decoupled knowledge distillation methods substantially boosts the model’s efficiency and accuracy. Our teaching experiments revealed heightened student engagement and learning outcomes in Civics, with all students covering 8 of 12 topics and an average of 27 students scoring above 95 per topic. A comparative analysis with a control group confirms the efficacy of immersive teaching approaches in improving student performance and the quality of Civics education.

The Research Lineage and Knowledge Distillation of the Whole Process “Immersion” Curriculum Civic Teaching

Applied Mathematics and Nonlinear Sciences

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

This research investigates the application of immersive teaching in Civics, enhanced by knowledge distillation techniques. We employed feature distillation and...

The Research Lineage and Knowledge Distillation of the Whole Process “Immersion” Curriculum Civic Teaching

Data publikacji: 15 maj 2024

Zakres stron: -

Otrzymano: 02 lut 2024

Przyjęty: 10 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-1062

Słowa kluczowe
Knowledge distillation, Recognition loss, Immersion, Data enhancement

© 2024 Yanhui Mao, published by Sciendo

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

The Research Lineage and Knowledge Distillation of the Whole Process “Immersion” Curriculum Civic Teaching

Data publikacji: 15 maj 2024

Zakres stron: -

Otrzymano: 02 lut 2024

Przyjęty: 10 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-1062

Słowa kluczoweKnowledge distillation, Recognition loss, Immersion, Data enhancement

© 2024 Yanhui Mao, published by Sciendo

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

Słowa kluczowe
Knowledge distillation, Recognition loss, Immersion, Data enhancement