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Mohammad M. Khajah – Journal of Educational Data Mining, 2024
Bayesian Knowledge Tracing (BKT) is a popular interpretable computational model in the educational mining community that can infer a student's knowledge state and predict future performance based on practice history, enabling tutoring systems to adaptively select exercises to match the student's competency level. Existing BKT implementations do…
Descriptors: Students, Bayesian Statistics, Intelligent Tutoring Systems, Cognitive Development
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McDermott, Paul A.; Fantuzzo, John W.; Waterman, Clare; Angelo, Lauren E.; Warley, Heather P.; Gadsden, Vivian L.; Zhang, Xiuyuan – Journal of School Psychology, 2009
Educators need accurate assessments of preschool cognitive growth to guide curriculum design, evaluation, and timely modification of their instructional programs. But available tests do not provide content breadth or growth sensitivity over brief intervals. This article details evidence for a multiform, multiscale test criterion-referenced to…
Descriptors: Listening Comprehension, Curriculum Design, Intervals, Disadvantaged Youth