Literature DB >> 21287111

Assessing learning processes with the gain-loss model.

Luca Stefanutti1, Pasquale Anselmi, Egidio Robusto.   

Abstract

Within the framework of knowledge space theory, a probabilistic skill multimap model for assessing learning processes is proposed. The learning process of a student is modeled as a function of the interaction between his competence state and the effect of a learning object on specific skills. Model parameters are initial probabilities of the skills, effects of learning objects on gaining and losing the skills, careless error, and lucky guess probabilities of the problems. A simulation study assessed model identifiability and goodness-of-recovery under several conditions. Practical implications of using the model are discussed, and the MATLAB code for simulating, estimating and testing it is available in the Psychonomic Society supplemental archive.

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Year:  2011        PMID: 21287111     DOI: 10.3758/s13428-010-0036-x

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  2 in total

1.  An Upgrading Procedure for Adaptive Assessment of Knowledge.

Authors:  Pasquale Anselmi; Egidio Robusto; Luca Stefanutti; Debora de Chiusole
Journal:  Psychometrika       Date:  2016-04-12       Impact factor: 2.500

2.  Extending the Basic Local Independence Model to Polytomous Data.

Authors:  Luca Stefanutti; Debora de Chiusole; Pasquale Anselmi; Andrea Spoto
Journal:  Psychometrika       Date:  2020-09-21       Impact factor: 2.500

  2 in total

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