详细信息
Current Situation and Strategy Formulation of College Sports Psychology Teaching Following Adaptive Learning and Deep Learning Under Information Education
文献类型:期刊文献
英文题名:Current Situation and Strategy Formulation of College Sports Psychology Teaching Following Adaptive Learning and Deep Learning Under Information Education
作者:Mou, Chuan[1];Tian, Yi[2];Zhang, Fengrui[3];Zhu, Chao[4]
第一作者:Mou, Chuan
通讯作者:Zhu, C[1]
机构:[1]Kunsan Natl Univ, Dept Sport & Exercise Sci, Gunsan, South Korea;[2]Kings Coll London, Kings Business Sch, London, England;[3]Sichuan Agr Univ, Coll Life Sci, Yaan, Peoples R China;[4]Beijing Union Univ, Dept Phys Educ, Beijing, Peoples R China
第一机构:Kunsan Natl Univ, Dept Sport & Exercise Sci, Gunsan, South Korea
通讯机构:[1]corresponding author), Beijing Union Univ, Dept Phys Educ, Beijing, Peoples R China.|[1141790]北京联合大学体育部、体委;[11417]北京联合大学;
年份:2022
卷号:12
外文期刊名:FRONTIERS IN PSYCHOLOGY
收录:;Scopus(收录号:2-s2.0-85123798115);WOS:【SSCI(收录号:WOS:000750687600001)】;
语种:英文
外文关键词:information education; adaptive learning; deep learning; sports psychology teaching; strategy formulation
摘要: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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