體驗區
|
| 篇名 |
美国高校大数据精准指导弱势学生发展研究
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| 並列篇名 |
Research on Big Data Precisely Guide the Development of Disadvantaged Students in U.S. Colleges and Universities
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| 作者 |
王旭燕(WANG Xuyan)
、孙德芳(SUN Defang)
|
| 中文摘要 |
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。
|
| 英文摘要 |
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.
|
| 頁次 |
050-057
|
| 關鍵詞 |
美国高等教育
、大数据技术
、教育公平
、弱势学生发展
、American higher education
、big data technology
、education equity
、development of disadvantaged students
、CSSCI
|
| 卷期 |
42:6
|
| 日期 |
202006
|
| 刊名 |
比較教育研究
|
| 出版單位 |
北京師範大學/研究所
|
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