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Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
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Ready, Douglas D.; Lee, Valerie E. – Brookings Papers on Education Policy, 2007
Young children's learning--and how their learning is distributed by social background--may be influenced by the structural and organizational properties of their school. This study focuses on one important structural dimension of these educational contexts: "size." This study differs from extant studies linking size to student outcomes in four…
Descriptors: Class Size, Instructional Program Divisions, Academic Achievement, School Size
Jones, Roger G. – 2002
Data from the Longitudinal Surveys of Australian Youth (LSAY) were analyzed to assess the viability of using the LSAY study data for national reporting of outcomes by geographic location and to identify variations in young Australians' education participation and outcomes by geographic region. The analysis revealed several sample distribution…
Descriptors: Academic Achievement, Data Interpretation, Dropouts, Educational Attainment