美国高校大数据精准指导弱势学生发展研究  

Research on Big Data Precisely Guide the Development of Disadvantaged Students in U.S.Colleges and Universities

作　　者：王旭燕 孙德芳[2] WANG Xuyan;SUN Defang(Department of Development and Reform,Hangzhou Normal University,Hangzhou Zhejiang 311121;Center of Teacher Development Research,Hangzhou Normal University,Hangzhou Zhejiang 311121)

机构地区：[1]杭州师范大学发展与改革处,浙江杭州311121 [2]杭州师范大学教师发展研究中心,浙江杭州311121

出　　处：《比较教育研究》2020年第6期50-57,共8页International and Comparative Education

基　　金：国家社科基金2017年度教育学一般课题“新高考下选考选课选学研究”(课题编号:BHA170143)研究成果之一。

摘　　要：大数据时代美国高等教育的弱势学生发展问题成为一项重要的研究议题。美国通过建立完善的高等教育数据系统,形成良好的政策支持、技术协作研发和组织协同的生态机制,实施描述性分析、预测性分析、自适应学习、财务指导与干预等技术策略,来保护弱势学生权益,提升弱势学生学业质量,促进弱势学生发展。美国高等教育大数据技术精确指导弱势学生发展虽然优势明显,但是大数据安全和隐私及技术使用的道德与标准化问题仍然面临巨大的挑战。In the era of big data,American higher education is facing a very serious problem for the development of disadvantaged students.By establishing a thorough higher education data system,the United States has formed a sound ecological mechanism for policy support,technical collaborative research and development,and organizational collaboration.And through these mechanisms,technical strategies such as descriptive analysis,predictive analysis,adaptive learning,financial guidance and intervention are implemented to protect the rights and interests of disadvantaged students,and ultimately promote the development of disadvantaged students.Although the advantages of big data technology in American higher education to precisely guide the development of disadvantaged students are obvious,issues like security and privacy of big data,the ethics and standardization of technology use remain huge challenges.

关 键 词：美国高等教育 大数据技术 教育公平 弱势学生发展 

分 类 号：G434.712[文化科学—教育学]