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作 者:谢川[1] 吴伟[1] 曾巧灵 盛飞 孙含元 XIE Chuan;WU Wei;ZENG Qiao-ling;SHENG Fei;SUN Han-yuan(Hangzhou Vocational and Technical College,Hangzhou 310018,Zhejiang)
出 处:《南京广播电视大学学报》2020年第3期73-78,共6页Journal of Nanjing Radio & TV University
基 金:浙江省教育科学规划2019年度(高校)研究课题“基于智慧校园的高职院校教学诊断与改进信息化系统研究开发”(2019SCG030);浙江省高等教育“十三五”教学改革研究项目“双高与数字经济背景下多元协同高职跨境电商人才培养改革研究与实践”(JG20190760);2019年度中国职教学会职业教育信息化建设研究课题(XXHJS19-0001)。
摘 要:高职院校的教学诊断与改进,是通过建立常态化的人才培养质量保证机制,完善内部质量保证体系,提高内部质量保证成效,持续提升办学水平和人才培养质量。基于智慧校园研究并开发实践高职院校教学诊断与改进系统,依托大数据全面感知校园业务,通过对业务数据的挖掘、整理、分析和决策,构建全面监督、预警和质量控制机制,实时为校园教育教学各业务提供诊断并提出改进意见,为“双高”计划背景下全面提升高职院校人才培养质量和办学水平提供保障。The teaching diagnosis and improvement system of higher vocational colleges continuously improve the level of schools managements and the quality of personnel training with the normalized mechanisms,such as the quality assurance system of talent training,the completion of internal quality assurance system,and the improvement of the effectiveness of internal quality assurance.Based on the research of the intelligent campus and development of practical higher vocational college teaching diagnosis and improvement system,relying on big data to fully perceive campus business,through the mining,collation,analysis and decision-making of business data,the research build a comprehensive supervision,early warning and quality control mechanism.Real-time diagnosis and improvement advice for campus education and teaching are realized and guarantees for improving the quality and level of talent training in higher vocational colleges are provided.
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