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Martori, Francesc; Cuadros, Jordi; González-Sabaté, Lucinio – International Educational Data Mining Society, 2015
Student modeling can help guide the behavior of a cognitive tutor system and provide insight to researchers on understanding how students learn. In this context, Bayesian Knowledge Tracing (BKT) is one of the most popular knowledge inference models due to its predictive accuracy, interpretability and ability to infer student knowledge. However,…
Descriptors: Bayesian Statistics, Inferences, Prediction, Accuracy
Fisher, Yael; Kostelitz, Yifat – Leadership and Policy in Schools, 2015
This research examines the influence of teachers' views regarding parental involvement on their perception of self-efficacy. Data were collected from a sample of 319 Israeli elementary schools teachers. A path analysis procedure was employed to test the mediating effect of personal background and organizational variables and perceived parental…
Descriptors: Foreign Countries, Teacher Attitudes, Self Efficacy, Parent Participation
Su, Chung-Ho; Cheng, Ching-Hsue – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study aims to explore the factors in a patient's rehabilitation achievement after a total knee replacement (TKR) patient exercises, using a PCA-ANFIS emotion model-based game rehabilitation system, which combines virtual reality (VR) and motion capture technology. The researchers combine a principal component analysis (PCA) and an adaptive…
Descriptors: Foreign Countries, Patients, Patient Education, Rehabilitation
van Wouwe, N. C.; Ridderinkhof, K. R.; Band, G. P. H.; van den Wildenberg, W. P. M.; Wylie, S. A. – Neuropsychologia, 2012
Learning to select optimal behavior in new and uncertain situations is a crucial aspect of living and requires the ability to quickly associate stimuli with actions that lead to rewarding outcomes. Mathematical models of reinforcement-based learning to select rewarding actions distinguish between (1) the formation of stimulus-action-reward…
Descriptors: Mathematical Models, Diseases, Patients, Rewards

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