By Jean P. Gonçalves, Sandra M. Aluisio, Leandro H. M. de Oliveira (auth.), James C. Lester, Rosa Maria Vicari, Fábio Paraguaçu (eds.)
This publication constitutes the refereed complaints of the seventh foreign convention on clever Tutoring structures, ITS 2004, held in Macei?, Alagoas, Brazil in August/September 2004.
The seventy three revised complete papers and 39 poster papers provided including abstracts of invited talks, panels, and workshops have been conscientiously reviewed and chosen from over one hundred eighty submissions. The papers are geared up in topical sections on adaptive checking out, have an effect on, architectures for ITS, authoring structures, cognitive modeling, collaborative studying, traditional language discussion and discourse, review, computing device studying in ITS, pedagogical brokers, scholar modeling, and instructing and studying strategies.
Read Online or Download Intelligent Tutoring Systems: 7th International Conference, ITS 2004, Maceió, Alagoas, Brazil, August 30 - September 3, 2004. Proceedings PDF
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This publication constitutes the refereed court cases of the seventh overseas convention on clever Tutoring platforms, ITS 2004, held in Macei? , Alagoas, Brazil in August/September 2004. The seventy three revised complete papers and 39 poster papers provided including abstracts of invited talks, panels, and workshops have been rigorously reviewed and chosen from over one hundred eighty submissions.
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Additional info for Intelligent Tutoring Systems: 7th International Conference, ITS 2004, Maceió, Alagoas, Brazil, August 30 - September 3, 2004. Proceedings
Section 3 supplies the basis of IRT. Section 4 is an extension of Section 3, introducing polytomous IRT. In Section 5 our student knowledge diagnosis model is explained. Here, the diagnosis procedure of this model is described in detail. Section 6 checks the reliability and accuracy of the assessment procedure through a study with simulated students. Finally, Section 7 discusses the results obtained. 2 Adaptive Testing A CAT  is a test-based measurement tool administered to students by means of a computer instead of the conventional paper-and-pencil format.
This last value has been obtained by comparing real student knowledge with the student knowledge inferred by the test. As can be seen, the best improvements have been obtained for a pool of items with a low discrimination factor. In this case, the number of items has been reduced drastically. The polytomous version requires less than half of the dichotomous one, and the estimation accuracy is only a bit lower . The worst performance of the polytomous version takes place when items have a high discrimination factor.
Es/siette) that can be used as a diagnosis tool in ITSs. Currently, we are working on TC calibration techniques. The goal is to obtain a calibration mechanism that minimizes the number of prior student performances required to calibrate the TCs. References 1. Birnbaum, A. Some Latent Trait Models and Their Use in Inferring an Examinee’s Mental Ability. In : Lord, F. M. and Novick, M. R, eds. Statistical Theories of Mental Test Scores. Reading, MA: Addison-Wesley; 1968. 2. ; Pérez-de-la-Cruz, J.
Intelligent Tutoring Systems: 7th International Conference, ITS 2004, Maceió, Alagoas, Brazil, August 30 - September 3, 2004. Proceedings by Jean P. Gonçalves, Sandra M. Aluisio, Leandro H. M. de Oliveira (auth.), James C. Lester, Rosa Maria Vicari, Fábio Paraguaçu (eds.)