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Dong, 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
Solanas, Antonio; Manolov, Rumen; Onghena, Patrick – Behavior Modification, 2010
The current study proposes a new procedure for separately estimating slope change and level change between two adjacent phases in single-case designs. The procedure eliminates baseline trend from the whole data series before assessing treatment effectiveness. The steps necessary to obtain the estimates are presented in detail, explained, and…
Descriptors: Simulation, Computation, Models, Behavioral Science Research