Reversal error in Mathematics: Training against it using ε coach
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Otros documentos de la autoría: Santamarta Martinez, Vicent; Garcia-Segarra, Pablo; Ventura Campos, Noelia; Moreno-Rus, Aida; Falomir, Zoe
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/174799
comunitat-uji-handle3:10234/174812
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INVESTIGACIONMetadatos
Título
Reversal error in Mathematics: Training against it using ε coachAutoría
Fecha de publicación
2023-11-01Editor
IOS PressISBN
9781643684482Cita bibliográfica
Santamarta Martinez, Vicent; Garcia-Segarra, Pablo; Ventura Campos, Noelia; Moreno-Rus, Aida; Falomir, Zoe. “Reversal error in Mathematics: Training against it using ε coach”. Artificial Intelligence Research and Development: Proceedings of the 25th International Conference of the Catalan Association for Artificial Intelligence. Vol. 375. IOS Press, 2023.Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión de la editorial
https://ebooks.iospress.nl/volumearticle/64967Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
This paper presents ε coach, a serious game prototype which aims at training players to detect and avoid reversal error when representing word problems of the type “N times as many S as P” algebraically as an equation. ... [+]
This paper presents ε coach, a serious game prototype which aims at training players to detect and avoid reversal error when representing word problems of the type “N times as many S as P” algebraically as an equation. The ε coach visualizes the relative size of the entities in the relation following a qualitative model based on containers. This serious game also provides a quantitative visualization of the entities related using graphics, it helps players to resolve the formulated equation using discrete values and it shows players’ progress. [-]
Publicado en
Proceedings of the 25th International Conference of the Catalan Association for Artificial Intelligence. Vol. 375. IOS Press, 2023.Entidad financiadora
Ministerio de Ciencia e Innovación | Agencia Estatal de Investigación | Universitat Jaume I | Ministerio de Trabajo y Economía Social
Código del proyecto o subvención
PID2021-123152OB-C22 | PID2020-118763GA-100 | MCIN/AEI/10.13039/501100011033 | UJI-A2021-04 | INVEST/2022/308
Derechos de acceso
info:eu-repo/semantics/openAccess