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Download full textGalyardt, April; Goldin, Ilya – Journal of Educational Data Mining, 2015
In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not. For example, an intelligent tutoring system may use such a model to estimate whether or not a student has mastered a skill. We analyze the significance of data recency in making such…
Descriptors: Achievement Rating, Performance Based Assessment, Bayesian Statistics, Data Analysis
Peer reviewedWaller, Michael I. – Applied Psychological Measurement, 1989
The fit of the 3-parameter model on data from tests of cognitive ability was compared to the fit of the Ability Removing Random Guessing model of M. I. Waller (1973). Three cohorts of about 1,000 children (fourth, seventh, and tenth graders) each were administered examinations in 11 content areas. (SLD)
Descriptors: Children, Cognitive Ability, Comparative Analysis, Elementary School Students
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
