ArticleFrontiers in psychology2021
Deep Learning-Based Teaching Strategies of Ideological and Political Courses Under the Background of Educational Psychology.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Artificial multi-verse optimisation for predicting the effect of ideological and political theory course.Heliyon · 2024Article
- Unmasking the challenges in ideological and political education in China: A thematic review.Heliyon · 2024Review
- Optimization of Ideological and Political Education Courses for College Students and Strategies for Mental Health Education.Psychology research and behavior management · 2023Article
- A pedagogical study on promoting students' deep learning through design-based learning.International journal of technology and design education · 2022Article
- The Psychology Analysis for Post-production of College Students' Short Video Communication Education Based on Virtual Image and Internet of Things.Frontiers in psychology · 2022Article
- The Influence of Science Technology Engineering Arts Mathematics-Based Psychological Capital Combined With Ideological and Political Education on the Entrepreneurial Performance and Sports Morality of College Teachers and Students.Frontiers in psychology · 2022Article
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Authors and funding
4 authors.
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Abstract
At present, low teaching efficiency has been the common problem of ideological and political education in colleges and universities in China. It is essential to improve the teaching efficiency and realize the intelligent information transformation of the ideological and political courses in colleges and universities. First, the relationship between ideological and political courses and the educational psychology of college students was analyzed based on the theoretical characteristics of educational psychology and college ideological and political courses. Additionally, the teaching efficiency of ideological and political courses based on deep learning (DL) was analyzed through a literature survey. Combined with online teaching modes such as the flipped classroom and Massive Open Online Courses, a comprehensive online teaching mode of college ideological and political courses was proposed
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