Proposal to Use the Geometry Tutor to Study Skill           Acquisition (Computer and Information Science)
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
{'SignBlockName': 'MICHELE R. JOHNSON', 'PO_EMAI': None, 'PO_PHON': None}
This research uses the Geometry Tutor computer assisted                 instruction system as an environment to study skill acquisition.  A             particular model of skill learning, called ACT*, is investigated in             detail in three ways. 1) Student performance data with the Geometry             Tutor are examined and analysed.   2) Variations of the Geometry Tutor          and their effects on learning are studied.  3)  A computer simulator            of the ACT* theory is interfaced to the Geometry Tutor and used to              model a human student's learning process.                                               The importance of this research is that computer supported              environments for learning are vital to future science and engineering           education.  These computer teaching systems must be rationally                  designed from solid experience and theoretical modeling of how student          performance can  be optimized.
{'FirstName': 'John', 'LastName': 'Anderson', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John R Anderson', 'EmailAddress': 'ja@cmu.edu', 'NSF_ID': '000463972', 'StartDate': '06/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_ORG': 'PA18', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}
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{'Code': '6856', 'Text': 'ARTIFICIAL INTELL & COGNIT SCI'}
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