globalchange  > 影响、适应和脆弱性
DOI: 10.7249/RR1365
报告号: RR-1365-BMGF
报告题名:
Continued Progress: Promising Evidence on Personalized Learning
作者: John F. Pane; Elizabeth D. Steiner; Matthew D. Baird; Laura S. Hamilton
出版者: RAND Corporation
出版年: 2015
发表日期: 2015
总页数: 56
国家: 美国
语种: 英语
英文关键词: Educational Program Evaluation ; Teacher Effectiveness ; Academic Achievement ; Education Policy ; Students ; Personalized Learning
英文摘要: The adoption of personalized learning approaches has increased significantly in recent years. This report examines achievement in 62 public charter and district schools that are pursuing a variety of personalized learning practices, and examines implementation details in 32 of those schools. Researchers obtained achievement data for personalized learning students and a matched comparison group of students attending other schools serving similar populations. They also collected and analyzed data from site visits, interviews, and surveys to create a broad picture of the schools' efforts to implement personalized learning and the perceptions of teachers and students. The achievement findings indicate that compared to peers, students in schools using personalized learning practices are making greater progress over the course of two school years, and that those students who started out behind are catching up to perform at or above national averages. The study finds that teachers at most schools were using data to understand student progress and make instructional decisions, all schools offered time for individual academic support, and the use of technology for personalization was widespread. However, some strategies, such as competency-based progression, were less common and more challenging to implement.
URL: http://www.rand.org/content/dam/rand/pubs/research_reports/RR1300/RR1365/RAND_RR1365.pdf
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资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/27468
Appears in Collections:影响、适应和脆弱性
科学计划与规划
气候减缓与适应
气候变化事实与影响
气候变化与战略

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John F. Pane,Elizabeth D. Steiner,Matthew D. Baird,et al. Continued Progress: Promising Evidence on Personalized Learning. 2015-01-01.
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