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Faucon, Louis; Kidzinski, Lukasz; Dillenbourg, Pierre – International Educational Data Mining Society, 2016
Large-scale experiments are often expensive and time consuming. Although Massive Online Open Courses (MOOCs) provide a solid and consistent framework for learning analytics, MOOC practitioners are still reluctant to risk resources in experiments. In this study, we suggest a methodology for simulating MOOC students, which allow estimation of…
Descriptors: Markov Processes, Monte Carlo Methods, Bayesian Statistics, Online Courses
Espelage, Dorothy L.; Rose, Chad A.; Polanin, Joshua R. – Remedial and Special Education, 2016
This 3-year study evaluated the effectiveness of the Second Step-Student Success Through Prevention (SS-SSTP) social-emotional learning program on increasing prosocial behaviors that could serve as protective factors against peer conflict and bullying among students with disabilities. Participants included 123 students with disabilities across 12…
Descriptors: Longitudinal Studies, Prosocial Behavior, Academic Ability, Middle School Students
O'Connor, Erin E.; McCormick, Meghan P.; Cappella, Elise; McClowry, Sandee G. – Society for Research on Educational Effectiveness, 2014
Not all children begin kindergarten ready to learn. Young children who exhibit dysregulated or disruptive behavior in the classroom have fewer opportunities to learn and consequently achieve lower levels of academic skills (Arnold et al., 2006; Raver, Garner, & Smith-Donald, 2007). A growing body of literature has examined how children's…
Descriptors: Young Children, Behavior Problems, Student Behavior, At Risk Students
Fox, Jean-Paul – Journal of Educational and Behavioral Statistics, 2005
The randomized response (RR) technique is often used to obtain answers on sensitive questions. A new method is developed to measure latent variables using the RR technique because direct questioning leads to biased results. Within the RR technique is the probability of the true response modeled by an item response theory (IRT) model. The RR…
Descriptors: Item Response Theory, Models, Probability, Markov Processes