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作 者:郭良 覃国友 刘宏斌 余波 何玲玲 GUO Liang;QIN Guoyou;LIU Hongbin;无(No4 Middle School,Yuci District,Jinzhong City,Shanxi Province,Jinzhong Shanxi,030600,China;School of Physical Education,Hanjiang Normal University,Shiyan Hubei,442000,China;Tongjiang County Experimental Primary School,Tongjiang Sichuan,636000,China;Tongjiang County Vocational Senior High School,Tongjiang Sichuan,636700,China;Luzhou Experimental Primary School Chengxi Campus,Luzhou Sichuan,646000,China)
机构地区:[1]山西省晋中市榆次区第四中学校,山西晋中030600 [2]汉江师范学院体育学院,湖北十堰442000 [3]通江县实验小学,四川通江636000 [4]通江县职业高级中学,四川通江636700 [5]泸州市实验小学城西学校,四川泸州646000
出 处:《四川体育科学》2025年第2期135-141,共7页Sichuan Sports Science
基 金:2024年度教育部人文社会科学基金,青年项目,项目编号(24YJCZH321);西华师范大学--四川省教育厅人文社会科学研究基地:成渝地区教育与经济社会协同发展研究中心资助一般项目:项目编号:(CYJXF23029);2022年度四川省教育学会教育科研课题,一般项目;汉江师范学院2022年度校级科研项目,项目编号:(XJ2022013);汉江师范学院2023年度教学改革研究项目,项目编号:(2023B15)。
摘 要:大数据为校园足球高质量发展评价转型指明了方向,推进大数据与校园足球评价体系融合发展是深化评价体系改革的内在要求。运用文献资料、实地调研等方法,以“三大球”振兴工程为导向,基于校园足球高质量发展评价转型多维诉求,厘清大数据赋能的技术逻辑:多源异构数据保障评价结果客观有效、数据功能促进评价过程立体、数据关联促进增值评价多元共促发展、数据技术促进综合评价效能显著。在其赋能过程中存在数据统筹规划缺乏、数据共享机制缺失、数据人才培养门槛高、数据伦理及隐私面临多重挑战等现实困圃。为此,提出筑牢数据治理思维,强化大数据促进校园足球评价转型发展;夯实数据资源,重视大数据促进校园足球评价转型真实性;建立数据标准,提升大数据促进校园足球评价转型精确性;提高数据效用,增强大数据促进校园足球评价转型智慧化的创新发展路径。Big data has illuminated the path for transforming the evaluation of high-quality development in campus football.Promoting the integration of big data with the campus football evaluation system is an inherent requirement for deepening the reform of the evaluation system.Using methods such as literature analysis and field research,and guided by the"Three Major Ball Games"Revitalization Project,this study addresses the multi-dimensional demands of the evaluation transformation for high-quality development in campus football.It clarifies the technological logic enabled by big data:multi-source heterogeneous data ensure the objectivity and validity of evaluation results,data functionalities enhance the multidimensionality of evaluation processes,data associations promote multi-faceted development through value-added evaluation,and data technologies significantly improve the overall evaluation effectiveness.However,the process of empowering campus football evaluation with big data faces practical challenges,such as the lack of comprehensive data planning,absence of data-sharing mechanisms,high barriers to data talent cultivation,and multiple challenges in data ethics and privacy.To address these issues,the study proposes the following innovative development pathways:strengthening data governance to advance the transformation of campus football evaluation with big data;consolidating data resources to emphasize the authenticity of evaluation transformation;establishing data standards to improve the accuracy of evaluation transformation;and enhancing data utility to foster a smart,innovative transformation of campus football evaluation.
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