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<p>In the digital transformation era, higher education stands on the cusp of a revolution. This paper dives into the heart of this transformation, presenting a novel model of intelligent party building education that leverages digital technology to forge a new path for learning. Through the lens of ecological construction, we unveil the CFA model and a sophisticated deep knowledge tracking method aimed at enhancing student performance in Civic and Political Sciences. Our journey through empirical analysis and comparative experiments sheds light on the transformative power of digital education techniques. Despite the initial findings suggesting a modest impact of smart party building and teaching methods on knowledge retention (with significance levels of 0.6941 and 0.4963), a deeper exploration reveals a compelling narrative: the synergistic effect of these methods significantly boosts knowledge retention, as demonstrated by an F-value of 5.6941 and a P-value below 0.05. The prowess of Civics teachers, assessed across three dimensions, further narrates the success of this educational innovation, with scores reflecting their deep understanding of the curriculum and a robust theoretical knowledge base. The performance of 32 Civics teachers, with scores ranging from 12 to 24, underscores the efficacy of intelligent party building education in today’s colleges and universities.</p>
</abstract>

In the digital transformation era, higher education stands on the cusp of a revolution. This paper dives into the heart of this transformation, presenting a novel model of intelligent party building education that leverages digital technology to forge a new path for learning. Through the lens of ecological construction, we unveil the CFA model and a sophisticated deep knowledge tracking method aimed at enhancing student performance in Civic and Political Sciences. Our journey through empirical analysis and comparative experiments sheds light on the transformative power of digital education techniques. Despite the initial findings suggesting a modest impact of smart party building and teaching methods on knowledge retention (with significance levels of 0.6941 and 0.4963), a deeper exploration reveals a compelling narrative: the synergistic effect of these methods significantly boosts knowledge retention, as demonstrated by an F-value of 5.6941 and a P-value below 0.05. The prowess of Civics teachers, assessed across three dimensions, further narrates the success of this educational innovation, with scores reflecting their deep understanding of the curriculum and a robust theoretical knowledge base. The performance of 32 Civics teachers, with scores ranging from 12 to 24, underscores the efficacy of intelligent party building education in today’s colleges and universities.

Theoretical Model Construction and Path Exploration of Intelligent Party Building Education in Colleges and Universities

Applied Mathematics and Nonlinear Sciences

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

In the digital transformation era, higher education stands on the cusp of a revolution. This paper dives into the heart of this transformation, presenting a...

Theoretical Model Construction and Path Exploration of Intelligent Party Building Education in Colleges and Universities

Publicado en línea: 03 may 2024

Páginas: -

Recibido: 29 mar 2024

Aceptado: 13 abr 2024

DOI: https://doi.org/10.2478/amns-2024-0985

Palabras clave
CFA model, Deep knowledge tracking, Crossover effect, Intelligent party building education

© 2024 Li Ren et al., published by Sciendo

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

Theoretical Model Construction and Path Exploration of Intelligent Party Building Education in Colleges and Universities

Publicado en línea: 03 may 2024

Páginas: -

Recibido: 29 mar 2024

Aceptado: 13 abr 2024

DOI: https://doi.org/10.2478/amns-2024-0985

Palabras claveCFA model, Deep knowledge tracking, Crossover effect, Intelligent party building education

© 2024 Li Ren et al., published by Sciendo

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

Palabras clave
CFA model, Deep knowledge tracking, Crossover effect, Intelligent party building education