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Auxiliar: A Case-Based System to Assist Online Courses
Las Vegas, Nevada April 05-April 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITCC.2004.1286450International Conference on Informati ...
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Dilermando Piva Jr., AEI - Itapetininga
Ricardo Lu?s de Freitas, Paulista University
Mauro S?rgio Miskulin, FEE - Unicamp
Gilberto Shigueo Nakamiti, Paulista University
Carlos Miguel Tobar, PUC - Campinas
This paper presents the REASONING, the third module of a computerized system (AUXILIAR), designed to help human-tutors redefine information for those students who have difficulties in grasping deployed educational topics. To this end, there is an intelligent mechanism that facilitates the assessment process and searches for similar cases produced by other students in past situations. This search enables the system to redefine the information content to be rendered to the student in order to eliminate deficiencies detected during a formative assessment without considerable intervention by the tutor. To reach these goals, concepts of Artificial Intelligence (Case-based Reasoning, more specifically) and man-machine interaction are exploited. Thereby, there are presented the format of a Case, the structure of the Case Library, as well as the intelligent retrieval mechanism that was developed.
Citation:
Dilermando Piva Jr., Ricardo Lu?s de Freitas, Mauro S?rgio Miskulin, Gilberto Shigueo Nakamiti, Carlos Miguel Tobar, "Auxiliar: A Case-Based System to Assist Online Courses," itcc, vol. 1, pp.197, International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 1, 2004
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