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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
Bang, Hee Jin; Suarez-Orozco, Carola; Pakes, Juliana; O'Connor, Erin – Educational Research, 2009
Background: While a significant body of research has addressed teachers' evaluations of mainstream English speaking students, there is a dearth of such research focusing on immigrant adolescents. As many immigrant students are in the process of acquiring English language proficiency, evaluating and assigning grades to immigrant youth can pose…
Descriptors: Feedback (Response), Homework, Grades (Scholastic), Academic Achievement