摘要
在高职院校,学生面临的学业风险多样,包括成绩不佳、学习参与度低、心理健康问题等。本文分析大数据在识别和预防这些风险中的作用,特别是其在全面数据分析、个性化预警、实时监控和反馈以及促进数据驱动决策方面的优势。提出了建立综合数据分析系统、实施个性化预警和干预、提升教师队伍对数据的应用能力以及构建多元合作网络等策略,旨在提高学业预警的效率和效果,以期帮助高职院校更有效地管理学生学业风险,提升学生的学习成绩。
In higher vocational colleges,students face various academic risks,including poor grades,low participation in learning,and mental health problems.This paper analyzes the role of big data in identifying and preventing these risks,especially its advantages in comprehensive data analysis,personalized warning,real-time monitoring and feedback,and promoting data-driven decision-making.Strategies have been proposed to improve the efficiency and effectiveness of academic warning,including establishing a comprehensive data analysis system,implementing personalized warning and intervention,enhancing the ability of teachers to apply data,and constructing a diverse collaborative network,in order to help vocational colleges more effectively manage student academic risks and improve their academic performance.
作者
徐小婷
XU Xiao-ting(Nanjing Vocational College of Information Technology,Nanjing Jiangsu 210023,China)
出处
《湖北开放职业学院学报》
2024年第5期164-166,共3页
Journal of Hubei Open Vocational College
基金
2022年江苏省教育厅高校哲学社会科学研究项目“多元化招生模式下提高高职院校学生毕业率的对策研究”(项目编号:2022SJYB0800)。
关键词
大数据
高职院校
学生学业预警
big data
higher vocational colleges
student academic warning
