Abstract
The aim of this paper is to evaluate the student learning about Computer Science subjects. A questionnaire based on ordinal scored items has been submitted to the students through a computer automated system. The data collected have been analyzed by using a latent variable model for ordinal data within the Item Response Theory framework. The scores obtained from the model allow to classify the students according to the reached competence.
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© 2005 Springer-Verlag Berlin · Heidelberg
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Mignani, S., Cagnone, S., Casadei, G., Carbonaro, A. (2005). An Item Response Theory Model for Student Ability Evaluation Using Computer-Automated Test Results. In: Bock, HH., et al. New Developments in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27373-5_39
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DOI: https://doi.org/10.1007/3-540-27373-5_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23809-6
Online ISBN: 978-3-540-27373-8
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