Toward Near Zero-Parameter Prediction Using a Computational Model of Student Learning [electronic resource] / Daniel Weitekamp, III., Erik Harpstead and Christopher J. MacLellan.

Computational models of learning can be powerful tools to test educational technologies, automate the authoring of instructional software, and advance theories of learning. These mechanistic models of learning, which instantiate computational theories of the learning process, are capable of making p...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	Weitekamp, Daniel, III, Harpstead, Erik (Author), MacLellan, Christopher J. (Author), Rachatasumrit, Napol (Author), Koedinger, Kenneth R. (Author)
Format:	Electronic eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2019.
Subjects:	Computation. Models. Learning. Prediction. Educational Technology. Prior Learning. Accuracy. Intelligent Tutoring Systems. Students. Fractions.