An Intelligence Sports Training of Improving Poor College Student Self-Efficacy: Simulation, Experiment and Analysis

: The physical and mental health of impoverished college students has always been the focus of poverty alleviation work. In order to improve the sense of self-efficacy of poor college students, this paper innovatively puts forward an intelligent training method, the effectiveness of the proposed training method is verified by simulation and experiment. In this paper, the guiding principles are given, the method of surface electromyography information extraction and the design principle are proposed, and the self-efficacy promotion questionnaire is developed, finally, through the questionnaire survey, factor analysis and confirmatory factor analysis of 126 impoverished college students, the questionnaire is verified to meet the requirements of psychometrics and Bandura’ s self-efficacy theory. The test results show that the intelligent sports training method can effectively improve the self-efficacy of impoverished college students in a short time. The research results of this paper provide an innovative solution for the development of poor college students’ physical and mental health. the total variance. In order to test its ideality, we do an oblique rotation. The results showed that the factor structure was stable, the order of position and the item of factor coverage did not change. The questionnaire made up of 25 items can be divided into 12 items of learning ability efficacy and 13 items of learning behavior efficacy. The Reliability Analysis of SPSS was used to analyze the internal consistency coefficient of the questionnaire was 0.88. The homogeneity coefficient between each item score and the total score was above 0.42. The split-half reliability is 0.85. After two weeks, the test-retest reliability was 0.93.

• Publication year

  2022

• Venue

  Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

• Publication date

  Unknown publication date

• Fields of study

  Not labeled

• Identifiers
  DOI 10.4108/eai.17-6-2022.2322815
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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