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<p>Enhancing the pedagogical model of ideological and political education represents a critical endeavor in contemporary educational institutions. With technological advancements, particularly in artificial intelligence, educational platforms encounter formidable challenges. This study proposes an advanced intelligent teaching platform tailored for ideological and political education at higher education institutions, constructed on the foundational principles of consistency, realism, human-centricity, purposefulness, operational feasibility, and systematic integration. This platform innovatively incorporates the Bidirectional Memory Enhancement Network (BMEN), which integrates an attention mechanism responsive to the unique memory and forgetting patterns of students. Consequently, a novel Knowledge Tracking Method Based on Bidirectional Memory Enhancement Attention (BMEAKT) is developed to precisely gauge students’ comprehension levels in ideological and political subjects. Empirical results indicate that this platform surpasses traditional baseline models in tracking knowledge, exhibiting General Area Under the Curve Metric (GAUCM) values between 0.6549 and 0.7234, thereby effectively assessing students’ mastery over the subject matter. A visual case study further validates the platform’s utility, demonstrating a 59.12% accuracy in predicting students’ correct responses to exercises. This research underscores a viable strategy for profoundly enhancing the instruction of ideological and political education in tertiary education settings.</p>
</abstract>

Enhancing the pedagogical model of ideological and political education represents a critical endeavor in contemporary educational institutions. With technological advancements, particularly in artificial intelligence, educational platforms encounter formidable challenges. This study proposes an advanced intelligent teaching platform tailored for ideological and political education at higher education institutions, constructed on the foundational principles of consistency, realism, human-centricity, purposefulness, operational feasibility, and systematic integration. This platform innovatively incorporates the Bidirectional Memory Enhancement Network (BMEN), which integrates an attention mechanism responsive to the unique memory and forgetting patterns of students. Consequently, a novel Knowledge Tracking Method Based on Bidirectional Memory Enhancement Attention (BMEAKT) is developed to precisely gauge students’ comprehension levels in ideological and political subjects. Empirical results indicate that this platform surpasses traditional baseline models in tracking knowledge, exhibiting General Area Under the Curve Metric (GAUCM) values between 0.6549 and 0.7234, thereby effectively assessing students’ mastery over the subject matter. A visual case study further validates the platform’s utility, demonstrating a 59.12% accuracy in predicting students’ correct responses to exercises. This research underscores a viable strategy for profoundly enhancing the instruction of ideological and political education in tertiary education settings.

The Path of Intelligent Teaching Platform Construction for Ideological and Political Education in Colleges and Universities under the Background of Artificial Intelligence

Applied Mathematics and Nonlinear Sciences

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

Enhancing the pedagogical model of ideological and political education represents a critical endeavor in contemporary educational institutions. With...

The Path of Intelligent Teaching Platform Construction for Ideological and Political Education in Colleges and Universities under the Background of Artificial Intelligence

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 26. März 2024

Akzeptiert: 10. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-1685

Schlüsselwörter
Intelligent teaching platform, BMEN, Attention mechanism, BMEAKT, Ideological and political education

© 2024 Xinhong Feng., published by Sciendo

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

The Path of Intelligent Teaching Platform Construction for Ideological and Political Education in Colleges and Universities under the Background of Artificial Intelligence

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 26. März 2024

Akzeptiert: 10. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-1685

SchlüsselwörterIntelligent teaching platform, BMEN, Attention mechanism, BMEAKT, Ideological and political education

© 2024 Xinhong Feng., published by Sciendo

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

Schlüsselwörter
Intelligent teaching platform, BMEN, Attention mechanism, BMEAKT, Ideological and political education