ArticleFrontiers in psychology2021
Current Situation and Strategy Formulation of College Sports Psychology Teaching Following Adaptive Learning and Deep Learning Under Information Education.
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 5 papers.
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5 citing papers in PubMed.
- An explainable hybrid deep learning framework for multi-source student employment prediction.Scientific reports · 2026Article
- Enhancing Ethnic Traditional Sports Education Through Sports Psychology: Significance, Challenges, and Strategies.Psychology research and behavior management · 2025Review
- Effects of psychology teachers' didactic performance on student didactic performance.Frontiers in psychology · 2025Article
- The analysis of educational informatization management learning model under the internet of things and artificial intelligence.Scientific reports · 2024Article
- Optimization of the game improvement and data analysis model for the early childhood education major via deep learning.Scientific reports · 2023Article
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4 authors.
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Abstract
This study aims to explore the current situation and strategy formulation of sports psychology teaching in colleges and universities following adaptive learning and deep learning under information education. The informatization in physical education, teaching methods, and teaching processes make psychological education more scientific and efficient. First, the relevant theories of adaptive learning and deep learning are introduced, and an adaptive learning analysis model is implemented. Second, based on the deep learning automatic encoder, college students' sports psychology is investigated and the test results are predicted. Finally, the current situation and development strategy of physical education in colleges and universities are analyzed. The results show that when the learning rate is 1, 0.1, and 0.01, there is no significant change in the analysis factors of recall, ndcg, item_coverage, and sps. When the learning rate is 1, their analysis factors change obviously, and it is calculated that the optimal learning rate of the model is 1. And the difficulty of the recommended test questions by using the sports psychology teaching method based on adaptive learning and deep learning is relatively stable. The test questions include various language points of sports psychology. Compared with others methods, adaptive learning and deep learning can provide comprehensive test questions for sports psychology teaching. This study provides technical support for the reform of sports psychology teaching in colleges and universities and contributes to optimizing the information-based teaching mode.
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