體驗區
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| 篇名 |
预测与干预：美国中学基于大数据分析的早期预警系统建设与运行
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| 並列篇名 |
Prediction and Intervention: Construction and Operation of Early Warning System Based on Big Data Analysis in American Middle Schools
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| 作者 |
但金凤(DAN Jinfeng)
、王正青(WANG Zhengqing)
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| 中文摘要 |
早期预警系统是数据驱动教学实践的一项重要策略，是美国中学识别学生学业危机和实施精准教学干预的有效工具。美国中学着眼于学生毕业率问题的考虑，并依托教育大数据战略的推动作用，继而实现了早期预警系统的建设与运行。美国中学早期预警系统建设包括五个方面：组建早期预警团队并明晰权责，确立与导入出勤、行为和课程表现等教育数据基本指标，挖掘与解释预警风险根源实质，匹配与执行分层预警干预方案，评估与完善早期预警干预流程。美国中学在推进早期预警系统建设过程中形成了制度保障、人员保障、平台保障和社会保障的运行保障机制，实现了基于大数据分析的早期预警干预体系的深入推进与纵深发展。
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| 英文摘要 |
Early warning system is an important strategy of data-driven teaching practice, and it has become an effective tool to identify students' academic crisis and implement precise teaching intervention in American middle schools. American middle schools focus on the issue of student graduation rate and the promotion effect of education big data strategy, and then have successfully constructed and operated the early warning system, by establishing an early warning team and clarifying the rights and responsibilities, establishing and introducing attendance, behavior incidents, course performance and other education risk indicators, exploring and explaining the true reasons of early warning risk, matching and implementing hierarchical early warning intervention measures, and evaluating and improving the early warning systems continuously. In the process of promoting the construction of early warning systems, American middle schools have formed the operation guarantee mechanism including the policy security, personnel security, platform security and social security, and realized the in-depth promotion and development of early warning systems based on big data analysis.
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| 頁次 |
071-078
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| 關鍵詞 |
美国中学
、早期预警系统
、学业干预
、大数据分析
、American middle schools
、early warning system
、academic intervention
、big data analysis
、CSSCI
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| 卷期 |
43:9
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| 日期 |
202109
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| 刊名 |
比較教育研究
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| 出版單位 |
北京師範大學/研究所
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