A data mining-based analysis of cognitive intervention for college students' sports health using Apriori algorithm

被引:9
作者
Hao, Qi [1 ]
Choi, Woong Jae [1 ]
Meng, Jie [2 ]
机构
[1] Pai Chai Univ, Dept Leisure Sports, Daejeon 35345, South Korea
[2] Linyi Univ, Sch Sports & Hlth, Linyi 276000, Shandong, Peoples R China
关键词
Data mining; Cognitive intervention; Sports health; College students; Physical health; Apriori algorithm; Sports attitude recognition;
D O I
10.1007/s00500-023-09163-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent years, the importance of cognitive intervention promoting physical health and well-being among college students has gained significant attention. The cognitive dimension is pivotal in determining individuals' behaviors and decisions, especially in domains where personal choices significantly impact well-being. However, with increasing awareness concerning the advantages of exercise and healthy behaviors, many college students require assistance prioritizing their physical health because of various problems, including current academic schedules and the stress of postgraduate college admissions. To address these issues, this study presented data mining algorithms to assess the efficacy of cognitive treatments in improving college students' health and fitness through sports activity. It smoothly integrates sports education into a larger social development framework, emphasizing the vital significance of holistic well-being and the numerous benefits of rigorous fitness and physical training regimens. It analyzes the efficacy of college students' sports learning using data mining to clarify the Apriori and decision tree algorithms. It addresses students' sports perceptions, cognitive interventions for sports health and health standards in college physical education. This paper evaluates the intervention's success based on sports value cognition, sports need cognition and sports attitude recognition to improve student performance. The analysis of undergraduate students' post-intervention scores revealed a considerable rise in these areas, with the experimental group scoring 14.2 and the control group scoring 11.53. The specific scores for sports value cognition were 17.86 and 15.7, while those for sports attitudes and cognition were 11.28 and 9.56, respectively. The impact of the cognitive intervention is further analyzed concerning body shape and physical fitness. The results reveal that a higher proportion of students in the intervention group engaged in physical exercise than the control group, especially with more than three weekly exercise sessions. The intervention and control groups' participation rates were 20.2% and 6.75%, respectively. Notably, the intervention group demonstrated a higher proportion (5.78%) of students engaging in five or more physical exercises per week than the control group (1.95%).
引用
收藏
页码:16353 / 16371
页数:19
相关论文
共 42 条
  • [1] Ali M, 2020, CHIN CONTR CONF, P7406, DOI 10.23919/CCC50068.2020.9188843
  • [2] L2-L∞ Control for Delayed Singular Markov Switch System with Nonlinear Actuator Faults
    Aslam, Muhammad Shamrooz
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2021, 23 (07) : 2297 - 2308
  • [3] Fault detection for asynchronous T-S fuzzy networked Markov jump systems with new event-triggered scheme
    Aslam, Muhammad Shamrooz
    Li, Qianmu
    Hou, Jun
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2021, 15 (11) : 1461 - 1473
  • [4] Event-triggered scheme for fault detection and isolation of non-linear system with time-varying delay
    Aslam, Muhammad Shamrooz
    Ullah, Rizwan
    Dai, Xisheng
    Sheng, Andong
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2020, 14 (16) : 2429 - 2438
  • [5] Observer-based dissipative output feedback control for network T-S fuzzy systems under time delays with mismatch premise
    Aslam, Muhammad Shamrooz
    Chen, Ziran
    [J]. NONLINEAR DYNAMICS, 2019, 95 (04) : 2923 - 2941
  • [6] A Deep Transfer Learning Network for Structural Condition Identification with Limited Real-World Training Data
    Bao, Nengxin
    Zhang, Tong
    Huang, Ruizhi
    Biswal, Suryakanta
    Su, Jingyong
    Wang, Ying
    [J]. STRUCTURAL CONTROL & HEALTH MONITORING, 2023, 2023
  • [7] The relationship between COVID-19-related prevention cognition and healthy lifestyle behaviors among university students: Mediated by e-health literacy and self-efficacy
    Bao, Xiaolu
    Chen, Dongxue
    Shi, Lushaobo
    Xia, Yi
    Shi, Zengping
    Wang, Dong
    [J]. JOURNAL OF AFFECTIVE DISORDERS, 2022, 309 : 236 - 241
  • [8] A practical study of active disturbance rejection control for rotary flexible joint robot manipulator
    Bilal, Hazrat
    Yin, Baoqun
    Aslam, Muhammad Shamrooz
    Anjum, Zeeshan
    Rohra, Avinash
    Wang, Yizhen
    [J]. SOFT COMPUTING, 2023, 27 (08) : 4987 - 5001
  • [9] Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach
    Bilal, Hazrat
    Yin, Baoqun
    Kumar, Aakash
    Ali, Munawar
    Zhang, Jing
    Yao, Jinfa
    [J]. SOFT COMPUTING, 2023, 27 (07) : 4029 - 4039
  • [10] Bilal H, 2019, CHIN CONTR CONF, P6772, DOI [10.23919/ChiCC.2019.8866334, 10.23919/chicc.2019.8866334]