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Download full textJensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – Grantee Submission, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – International Educational Data Mining Society, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
San Pedro, Maria Ofelia Z. – International Educational Data Mining Society, 2015
This dissertation research focuses on assessing student behavior, academic emotions, and knowledge from a middle school online learning environment, and analyzing their potential effects on decisions about going to college. Using students' longitudinal data ranging from their middle school, to high school, to postsecondary years, I leverage…
Descriptors: Learner Engagement, Psychological Patterns, Middle School Students, Student Behavior
