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Baker, 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
Meyer, Bonnie J. F.; Wijekumar, Kay; Middlemiss, Wendy; Higley, Kelli; Lei, Pui-Wa; Meier, Catherine; Spielvogel, James – Reading Research Quarterly, 2010
This study investigated the effects of different versions of Web-based instruction focused on text structure on fifth- and seventh-grade students' reading comprehension. Stratified random assignment was employed in a two-factor experiment embedded within a pretest and multiple posttests design (immediate and four-month delayed posttests). The two…
Descriptors: Feedback (Response), Reading Comprehension, Text Structure, Web Based Instruction