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Download full textJuan D’Brot; W. Chris Brandt – Region 5 Comprehensive Center, 2024
In today's educational landscape, state and local educational agencies (SEAs and LEAs) often experience challenges connecting large-scale accountability data with actual school improvement initiatives. These challenges tend to be rooted in incoherent design and use of data systems for continuous improvement. As we aim to support SEAs in…
Descriptors: Educational Improvement, Data Collection, State Departments of Education, School Districts
Peer reviewed
Direct linkBrouwer, Jasperina; Jansen, Ellen; Hofman, Adriaan; Flache, Andreas – Research in Post-Compulsory Education, 2016
Two theoretical approaches underlie this investigation of the determinants of early study success among first-year university students. Specifically, to extend Walberg's educational productivity model, this study draws on the expectancy-value theory of achievement motivation in a contemporary university context. The survey data came from 407…
Descriptors: College Freshmen, Progress Monitoring, Success, Achievement Need
Murphy, Richard; Weinhardt, Felix – Centre for Economic Performance, 2013
We find an individual's rank within their reference group has effects on later objective outcomes. To evaluate the impact of local rank, we use a large administrative dataset tracking over two million students in England from primary through to secondary school. Academic rank within primary school has sizable, robust and significant effects on…
Descriptors: Foreign Countries, Class Rank, Progress Monitoring, Effect Size
