Mostrar el registro sencillo del ítem
dc.contributor.author
Boekaerts, Monique
dc.contributor.author
Musso, Mariel Fernanda
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.contributor.author
Cascallar, Eduardo C.
dc.date.available
2024-04-04T10:30:23Z
dc.date.issued
2022-11
dc.identifier.citation
Boekaerts, Monique; Musso, Mariel Fernanda; Cascallar, Eduardo C.; Predicting attribution of letter writing performance in secondary school: A machine learning approach; Frontiers Media; Frontiers in Education; 7; 11-2022; 1-22
dc.identifier.issn
2504-284X
dc.identifier.uri
http://hdl.handle.net/11336/231840
dc.description.abstract
The learning research literature has identified the complex and multidimensional nature of learning tasks, involving not only (meta) cognitive processes but also affective, linguistic, and behavioral contextualized aspects. The present study aims to analyze the interactions among activated domain-specific information, context-sensitive appraisals, and emotions, and their impact on task engagement as well as task satisfaction and attribution of the perceived learning outcome, using a machine learning approach. Data was collected from 1130 vocational high-school students of both genders, between 15 and 20 years of age. Prospective questionnaires were used to collect information about the students’ home environment and domain-specific variables. Motivation processes activated during the learning episode were measured with Boekaerts’ on-line motivation questionnaire. The traces that students left behind were also inspected (e.g., time spent, use of provided tools, content, and technical aspects of writing). Artificial Neural Networks (ANN) were used to provide information on the multiple interactions between the measured domain-specific variables, situation-specific appraisals and emotions, trace data, and background variables. ANN could identify with high precision students who used a writing skill, affect, and self-regulation strategies attribution on the basis of domain variables, appraisals, emotions, and performance indicators. ANN detected important differences in the factors that seem to underlie the students’ causal attributions.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Frontiers Media
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ATTRIBUTION
dc.subject
APPRAISALS
dc.subject
ARTIFICIAL NEURAL NETWORKS
dc.subject
EMOTIONS
dc.subject.classification
Psicología
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
Psicología
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
CIENCIAS SOCIALES
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.title
Predicting attribution of letter writing performance in secondary school: A machine learning approach
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-04-03T13:37:33Z
dc.journal.volume
7
dc.journal.pagination
1-22
dc.journal.pais
Suiza
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.description.fil
Fil: Boekaerts, Monique. Leiden University; Países Bajos
dc.description.fil
Fil: Musso, Mariel Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Centro Interdisciplinario de Investigaciones en Psicología Matemática y Experimental Dr. Horacio J. A. Rimoldi; Argentina
dc.description.fil
Fil: Cascallar, Eduardo C.. Katholikie Universiteit Leuven; Bélgica
dc.journal.title
Frontiers in Education
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/feduc.2022.1007803
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/feduc.2022.1007803/full
Archivos asociados