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Stealth Assessment in ITS - A Study for Developmental Dyscalculia


Klingler, Severin; Käser, Tanja; Busetto, Alberto Giovanni; Solenthaler, Barbara; Kohn, Juliane; von Aster, Michael; Gross, Markus (2016). Stealth Assessment in ITS - A Study for Developmental Dyscalculia. In: ITS, Zagreb Kroatien, 7 June 2016 - 10 June 2016, 79-89.

Abstract

Intelligent tutoring systems are adapting the curriculum to the needs of the student. The integration of stealth assessments of student traits into tutoring systems, i.e. the automatic detection of student characteristics has the potential to re?ne this adaptation. We present a pipeline for integrating automatic assessment seamlessly into a tutoring system and apply the method to the case of developmental dyscalculia (DD). The proposed classi?er is based on user inputs only, allowing non-intrusive and unsupervised, universal screening of children. We demonstrate that interaction logs provide enough information to identify children at risk of DD with high accuracy and validity and reliability comparable to traditional assessments. Our model is able to adapt the duration of the screening test to the individual child and can classify a child at risk of DD with an accuracy of 91% after 11 minutes on average.

Abstract

Intelligent tutoring systems are adapting the curriculum to the needs of the student. The integration of stealth assessments of student traits into tutoring systems, i.e. the automatic detection of student characteristics has the potential to re?ne this adaptation. We present a pipeline for integrating automatic assessment seamlessly into a tutoring system and apply the method to the case of developmental dyscalculia (DD). The proposed classi?er is based on user inputs only, allowing non-intrusive and unsupervised, universal screening of children. We demonstrate that interaction logs provide enough information to identify children at risk of DD with high accuracy and validity and reliability comparable to traditional assessments. Our model is able to adapt the duration of the screening test to the individual child and can classify a child at risk of DD with an accuracy of 91% after 11 minutes on average.

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Additional indexing

Item Type:Conference or Workshop Item (Other), not refereed, original work
Communities & Collections:04 Faculty of Medicine > University Children's Hospital Zurich > Medical Clinic
Dewey Decimal Classification:610 Medicine & health
Language:English
Event End Date:10 June 2016
Deposited On:16 Feb 2017 08:32
Last Modified:24 Oct 2017 07:31
Publisher:Springer International
Publisher DOI:https://doi.org/10.1007/978-3-319-39583-8_8

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