Luca Stefanutti

A competency addition procedure for constructing minimal, yet maximally informative tests for skill assessment

Pasquale Anselmi, Jürgen Heller, Luca Stefanutti, Egidio Robusto

Competence-based test development is a novel method for constructing tests that are as informative as possible about the competence state (the set of skills an individual possesses) underlying item responses. If desired, the tests can also be minimal, meaning that no item …

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An application of procedural knowledge space theory to the study of strategic planning in board games.

Andrea Brancaccio, Luca Stefanutti

Procedural knowledge space theory (PKST) integrates knowledge space theory and problem space theory to model human problem-solving. This study extends PKST to competitive, two-player games and presents the first empirical application of homomorphisms to derive abstract representations of complex problem spaces. Using …

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Connections between the basic local independence model and true and error models in the study of preference

Luca Stefanutti, Andrea Brancaccio, Debora de Chiusole

Two classes of probabilistic models are compared: the true and error (TE) type models and models in the family of the basic local independence model (BLIM). The former finds applications in the study of human preference, whereas the latter has been developed …

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MCAR-IITA: A Procedure for Identifying Structures among Items from Incomplete Data

Peter Steiner, Aliaksei Badnarchuk, Debora de Chiusole, Milan Segedinac et autres

Effective adaptive instruction depends on knowing what a student has mastered and what they are ready to learn next. Traditional scale scores, such as those obtained from item response (IRT) models, provide only limited support for this purpose. Consequently, several recent approaches …

MCAR-IITA: A Procedure for Identifying Structures among Items from Incomplete Data

Peter Steiner, Aliaksei Badnarchuk, Debora de Chiusole, Milan Segedinac et autres

Effective adaptive instruction depends on knowing what a student has mastered and what they are ready to learn next. Traditional scale scores, such as those obtained from item response (IRT) models, provide only limited support for this purpose. Consequently, several recent approaches …

Multi-method validation of the new computerized test of fluid intelligence MatriKS

Debora de Chiusole, Ottavia M. Epifania, Pasquale Anselmi, Andrea Brancaccio et autres

Abstract This paper introduces MatriKS, a new computerized tool for the assessment of fluid intelligence based on Raven-like matrices. Based on knowledge structure theory (KST), a mathematical framework initially designed for efficient assessment and personalized learning, MatriKS is the first large-scale application …

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Error patterns on a computerized version of Raven’s progressive matrices in specific learning disorders

Matilde Spinoso, Mariagrazia Benassi, Alice Riccardi, Matteo Orsoni et autres

Specific Learning Disorders (SLDs) are neurodevelopmental conditions characterized by persistent difficulties in reading, writing, or mathematics. These difficulties occur in the absence of intellectual disabilities, sensory impairments (visual/auditory), or neurological issues, indicating that SLDs do not reflect a lack of ability or …

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Psychometric properties of the Usability and Acceptability Scale (UAS) for evaluating digital tools in children and adolescent users

Matilde Spinoso, Mariagrazia Benassi, Noemi Mazzoni, Matteo Orsoni et autres

The rapid integration of digital tools in educational and clinical settings highlights the need for assessing their usability and acceptability, particularly among populations of developmental age. This study aims to validate the Usability and Acceptability Scale (UAS), a new scale tailored for …

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Two Markov Solution Process Models for the Assessment of Planning in Problem Solving—ERRATUM

Andrea Brancaccio, Debora de Chiusole, Ottavia M. Epifania, Pasquale Anselmi et autres

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Error Patterns in Progressive Matrices in Schizophrenia and Bipolar Disorders

Matteo Orsoni, Noemi Mazzoni, Matilde Spinoso, Sara Garofalo et autres

Conventional evaluations of matrix reasoning have focused predominantly on total accuracy scores, thus overlooking qualitative error patterns that may reflect distinct cognitive mechanisms in psychiatric populations. This study examined performance on MatriKS, a digital matrix reasoning task, in a sample of 28 …

Error Patterns in Progressive Matrices in Schizophrenia and Bipolar Disorders

Noemi Mazzoni, R. Raggini, Giulia Balboni, Sara Garofalo et autres

Conventional evaluations of matrix reasoning have focused predominantly on total accuracy scores, thus overlooking qualitative error patterns that may reflect distinct cognitive mechanisms in psychiatric populations. This study examined performance on MatriKS, a digital matrix reasoning task, in a sample of 28 …

Identifiability of the polytomous local independence model with graded knowledge structures

Luca Stefanutti, Andrea Spoto

This article provides initial theoretical results concerning the identifiability of the polytomous local independence model (PoLIM), which is an extension of the basic local independence model (BLIM) to polytomous knowledge structures. It is well-known that the BLIM is not identifiable for graded …

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