首页|基于大数据的职业教育评价助力"五金"建设研究

基于大数据的职业教育评价助力"五金"建设研究

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党的二十届三中全会指出,健全因地制宜发展新质生产力体制机制.职业教育作为人才培养的主阵地,必须紧跟时代步伐,为这一新兴领域输送源源不断的优秀人才.基于职业教育"五金"(金专业、金课程、金师资、金实践、金教材)建设,分析基于大数据技术的职业教育评价对"五金"建设的促进作用.通过分析职业教育评价的现状与问题,构建基于大数据的职业教育评价体系,从而提升职业教育的管理水平,推动信息化、科学化进程,并提出了有针对性的改革策略,旨在促进构建科学、合理、规范、高效的职业教育评价体系,为"五金"建设提供有力支持.研究表明,大数据技术的应用能够精准分析教学质量、实现个性化教学、优化资源配置,从而全面提升职业教育质量.
Research on Vocational Education Evaluation Based on Big Data Supporting"Five Golds"Construction
The third Plenary Session of the 20th Central Committee of the CPC pointed out the need to improve the system and mechanism for developing new quality productivity according to local conditions.As the main battlefield for talent cultivation,vocational education must keep up with the pace of the times and provide a con-tinuous stream of excellent talents for this emerging field.Based on the construction of vocational education"Five Golds"(gold majors,gold courses,gold teachers,gold practices,gold textbooks),it analyzes the promoting effect of vocational education evaluation based on big data technology on the construction of"Five Golds".By analyzing the current situation and problems of vocational education evaluation,a big data based vocational education evaluation system is constructed to improve the management level of vocational education,promote the process of informatiza-tion and scientification.Targeted reform strategies are put forwarded aiming at promoting the construction of a sci-entific,reasonable,standardized,and efficient vocational education evaluation system,providing strong support for the construction of"Five Golds".Research has shown that the application of big data technology can accurately ana-lyze teaching quality,achieve personalized teaching,optimize resource allocation,and comprehensively improve the quality of vocational education.

Vocational education evaluationBig dataFive Golds constructionInformatization

纪兆华、黄杰、张鹏

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北京信息职业技术学院 北京 100018

北京神州数码云科信息技术有限公司 北京 100084

职业教育评价 大数据 "五金"建设 信息化

2024

科技资讯
北京国际科技服务中心 北京合作创新国际科技服务中心

科技资讯

影响因子:0.51
ISSN:1672-3791
年,卷(期):2024.22(23)