Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/35188

TitleNew algorithms for smart assessment of math exercises
Author(s)Araújo, Isabel
Brito, Irene
Machado, Gaspar J.
Pereira, Rui M. S.
Almeida, José João
Smirnov, Georgi
Keywordse-learning
Mathematical exercises
Smart assessment
Issue date2015
PublisherSpringer
JournalAdvances in Intelligent Systems and Computing
Abstract(s)This paper deals with the field of mathematics education where the aim is to generate exercises with randomized data. The process of exercise generation involves, first, identification of common errors that may be performed when solving the exercise, then, modeling of these errors by appropriate functions and recognition and distinction of errors through algorithms. Thus, although randomized, the exercise parameters must be chosen in such a way that it would be possible to understand the error the student committed and with it to guarantee a proper feedback on his answer. We call this process smart assessment. In this paper we present two algorithms for exercise generation admitting smart assessment.
TypeConference paper
DescriptionPublicado em "New contributions in information systems and technologies", vol. 1. ISBN 978-3-319-16485-4. Series: Advances in intelligent systems and computing, vol. 353, ISSN 2194-5357
URIhttps://hdl.handle.net/1822/35188
ISBN9783319164854
DOI10.1007/978-3-319-16486-1_121
ISSN2194-5357
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review

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