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

Muñoz Merino, Pedro José; Gonzalez Novillo, Ruth; Delgado Kloos, Carlos

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

Author(s): Muñoz Merino, Pedro José; Gonzalez Novillo, Ruth; Delgado Kloos, Carlos

Publisher: Elsevier

Issued date: 2018-07-01

Citation: 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.

ISSN: 1568-4946

DOI: https://doi.org/10.1016/j.asoc.2018.03.045

xmlui.dri2xhtml.METS-1.0.item-contributor-funder: Comunidad de Madrid
Ministerio de Economía y Competitividad (España)

Sponsor: This work was supported by the Smartick company (project entitled “ANÁLISIS, EVOLUCIÓN, PROPUESTAS DE MEJORA y DESARROLLO DEL SISTEMA DE APRENDIZAJE ADAPTATIVOY ANALÍTICA DEL APRENDIZAJE DE LA PLATAFORMA SMARTICK”), by the Madrid Regional Government(eMadrid project, grant number S2013/ICE-2715), and by the Spanish Ministry of Economy and Competiveness (Smartlet project,grant number TIN2017-85179-C3-1-R) funded by the Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER).

Project: Comunidad de Madrid. S2013/ICE-2715
Gobierno de España. TIN2017-85179-C3-1-R

Keywords: Skill modelling , Item response theory , Knowledge spaces , Adaptive learning

URI: http://hdl.handle.net/10016/31172

Rights: © 2018 Elsevier B.V. All rights reserved.
Atribución-NoComercial-SinDerivadas 3.0 España

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 exerc [+]

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