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Peer reviewed
Download full textDong, Yi; Biswas, Gautam – International Educational Data Mining Society, 2017
This paper discusses a novel approach for developing more refined and accurate learner models from student data collected from Open Ended Learning Environments (OELEs). OELEs provide students choice in how they go about constructing solutions to problems, and students exhibit a variety of learning behaviors in such environments. Building accurate…
Descriptors: Student Behavior, Models, Monte Carlo Methods, Learning Processes
Campuzano, Larissa; Dynarski, Mark; Agodini, Roberto; Rall, Kristina – National Center for Education Evaluation and Regional Assistance, 2009
In the No Child Left Behind Act (NCLB), Congress called for the U.S. Department of Education (ED) to conduct a rigorous study of the conditions and practices under which educational technology is effective in increasing student academic achievement. A 2007 report presenting study findings for the 2004-2005 school year, indicated that, after one…
Descriptors: Teacher Characteristics, Federal Legislation, Academic Achievement, Computer Software
