Publication:
Assessment of skills and adaptive learning for parametric exercises combining knowledge spaces and item response theory

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URI: https://hdl.handle.net/10016/31172
ISSN: 1568-4946
DOI: https://doi.org/10.1016/j.asoc.2018.03.045
UXXI: AR/0000021648
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assessment_ASC_2018_ps.pdf (779.81 KB)
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2018-07-01
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Elsevier
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Abstract
Many computer systems implement different methods for the estimation of students' skills and adapt the generated exercises depending on such skills. Knowledge Spaces (KS) is a method for curriculum sequencing but fine-grained decisions for selecting next exercises among the candidates are not taken into account, which can be obtained with the application of techniques such as Item Response Theory (IRT).
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Skill modelling, Item response theory, Knowledge spaces, Adaptive learning
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Muñoz-Merino, P. J., Ganzález Novillo, R. y Delgado Kloos, C. (2018). Assessment of skills and adaptive learning for parametric exercises combining knowledge spaces and item response theory. Applied Soft Computing, 68, pp. 110-124.
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