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Liu, Ran; Koedinger, Kenneth R. – Journal of Educational Data Mining, 2017
As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
Desimone, Laura M.; Hill, Kirsten Lee – Educational Evaluation and Policy Analysis, 2017
We use data from a randomized controlled trial of a middle school science intervention to explore the causal mechanisms by which the intervention produced previously documented gains in student achievement. Our study finds that implementation fidelity, operationalized as a measure of the frequency of implementation of the cognitive science…
Descriptors: Randomized Controlled Trials, Middle School Students, Secondary School Science, Science Instruction
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Kaufman, Julia H.; Rita Karam; Pane, John F.; Junker, Brian W. – Journal of Mathematics Education at Teachers College, 2012
This study drew on data from a large, randomized trial of Cognitive Tutor Algebra (CTA) in high-poverty settings to investigate how mathematics curricula and classroom achievement related to teacher reports of time spent on inquiry-based and lecture-based mathematics activities. We found that teachers using the CTA curriculum reported more time on…
Descriptors: Algebra, Mathematics Curriculum, Learning Activities, Inquiry