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Evale, Digna S. – Journal of Information Technology Education: Research, 2017
Aim/Purpose: This study is an attempt to enhance the existing learning management systems today through the integration of technology, particularly with educational data mining and recommendation systems. Background: It utilized five-year historical data to find patterns for predicting student performance in Java Programming to generate…
Descriptors: Integrated Learning Systems, Technology Integration, Educational Technology, Technology Uses in Education
Martin, Andrew J.; Wilson, Rachel; Liem, Gregory Arief D.; Ginns, Paul – Journal of Higher Education, 2014
In the context of "academic momentum," a longitudinal study of university students (N = 904) showed high school achievement and ongoing university achievement predicted subsequent achievement through university. However, the impact of high school achievement diminished, while additive effects of ongoing university achievement continued.…
Descriptors: Foreign Countries, College Students, Longitudinal Studies, Academic Achievement
Straatemeier, Marthe; van der Maas, Han L. J.; Jansen, Brenda R. J. – Journal of Experimental Child Psychology, 2008
In the field of children's knowledge of the earth, much debate has concerned the question of whether children's naive knowledge--that is, their knowledge before they acquire the standard scientific theory--is coherent (i.e., theory-like) or fragmented. We conducted two studies with large samples (N = 328 and N = 381) using a new paper-and-pencil…
Descriptors: Prior Learning, Concept Formation, Knowledge Level, Earth Science
Peer reviewedChen, Zhe; Siegler, Robert S. – Monographs of the Society for Research in Child Development, 2000
Analyzed 1.5- and 2.5-year-olds' problem solving and learning. Found that changes in toddlers' strategies could be assessed reliably on a trial-by-trial basis, that changes followed the basic form predicted by the overlapping waves model, and that analyses could reveal information about the qualitative and quantitative aspects of their learning.…
Descriptors: Age Differences, Cognitive Development, Individual Differences, Learning Strategies
Peer reviewedWong, E. David – Elementary School Journal, 1996
Examined scientific reasoning in middle school science students and in scientists that analyzed phenomena explanations in class and in references. Found distinctions, but also reasons why student explanations do and should differ. The resulting conceptual model of student scientific reasoning in context emphasizes three contextual areas: available…
Descriptors: Age Differences, Context Effect, Differences, Elementary Education
Peer reviewedWoodrow, Janice E. J. – Computers and Education, 1991
Describes a study of student teachers that examined determinants of achievement in a computer literacy course. Correlations with measures of computer attitudes, perceived locus of control, gender, age, and prior word processing and computer experience are discussed, and the computer literacy model on which the analysis of data was based is…
Descriptors: Academic Achievement, Age Differences, Computer Literacy, Correlation

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