REU: Components of Initial Skill Learning: Development of   Effective Examples and Training Procedures
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{'SignBlockName': 'Jolita D. Middleton', 'PO_EMAI': None, 'PO_PHON': None}
This research is concerned with how to best train technical,             coginitive skills.  The approach is based on a three-component model            of skill acquisition.  This model is developed and tested, by                   generating and applying diagnostic tests to determine whether a given           component of a skill has been acquired by the learner.  The particular          skill used for experimentation is based on the command language                 of an electronic spreadsheet.  The model is further intended to                 be used as part of an intelligent tutoring system, capable of                   predicting students' performance as they learn a technical skill.                     The importance of this research is that it not only sheds                 light on general models of cognitive processing, but has practical              application to the development of advanced intelligent tutoring                 systems.
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[{'Code': '6856', 'Text': 'ARTIFICIAL INTELL & COGNIT SCI'}, {'Code': '9120', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
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