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Download full textSan Pedro, Maria Ofelia Z.; Snow, Erica L.; Baker, Ryan S.; McNamara, Danielle S.; Heffernan, Neil T. – International Educational Data Mining Society, 2015
There is increasing evidence that fine-grained aspects of student performance and interaction within educational software are predictive of long-term learning. Machine learning models have been used to provide assessments of affect, behavior, and cognition based on analyses of system log data, estimating the probability of a student's particular…
Descriptors: Mathematics Tests, Achievement Tests, Middle School Students, Intelligent Tutoring Systems
