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Download full textBowman, Charles R.; Gulacar, Ozcan; King, Daniel B. – Journal of Learning Design, 2014
With the amount of data available through an online homework system about students' study habits, it stands to reason that such systems can be used to identify likely student outcomes. A study was conducted to see how student usage of an online chemistry homework system (OWL) correlated with student success in a general chemistry course. Online…
Descriptors: Electronic Learning, Homework, Predictor Variables, Academic Achievement
Direct linkBaker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
