Year: 2010
Type: article
Abstract: This paper presents a representation of training based on an ACT-R model of list learning.The benefit of the list model representation for making training predictions can be seen in the accurate a priori predictions of trials to mastery given the number of task steps.The benefit of using accurate step times can be seen in the even more accurate post-hoc model results.
Author: Michael Matessa
Institution: Alion Science and Technology (United States)
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2618370757