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Download full textHarmon, Jon; Warnakulasooriya, Rasil – International Educational Data Mining Society, 2019
The Additive Factor Model (AFM) is a cognitive diagnostic model that can be used to predict student performance on items in a context that allows for student learning. Within AFM, "skills" have a learning rate, and student acquisition of a skill depends only on the number of opportunities a student has had to exercise that skill and the…
Descriptors: Electronic Learning, Factor Analysis, Goodness of Fit, Item Response Theory
Lacefield, Warren E.; Applegate, E. Brooks; Zeller, Pamela J.; Van Kannel-Ray, Nancy; Carpenter, Shelly – Online Submission, 2011
This study describes a well-defined data-driven diagnostic identification and selection procedure for choosing students at-risk of academic failure for appropriate academic support services. This algorithmic procedure has been validated both by historical quantitative studies of student precedents and outcomes as well as by current qualitative…
Descriptors: Academic Failure, At Risk Students, Identification, Information Systems
Kivlahan, Daniel R.; And Others – 1983
Recent approaches to empirical derivation and validation of alcoholic subtypes which involve cluster analysis wihin a single multivariate assessment domain have been questioned. To investigate more clinically meaningful subtypes in a sample of 245 male alcoholics, cluster analysis was performed on a combination of variables from four assessment…
Descriptors: Alcoholism, Behavior Patterns, Cluster Analysis, Cluster Grouping
