Autor según el artículo: Cèlia Llurba; Gabriela Fretes; Ramon Palau
Departamento: Pedagogia
Autor/es de la URV: Fretes Torruella, Maria Gabriela / Llurba Mort, Cèlia / Palau Martin, Ramon Felix
Palabras clave: Teaching Learning process Learning analytics Emotion recognition Database Artificial intelligence Achievement teaching learning process learning analytics database artificial intelligence
Resumen: The large variety of students in a class makes the teaching task complex,
making it difficult for the teacher to personalise learning to each student. Since
students should be at the centre of the educational process, it is necessary to know
them better, so this study aims to explore the possibilities of using a camera for
emotion recognition (ER) with a view to the potential use of this information to
improve the teaching-learning process. To accomplish the aim it is previously
necessary to develop and apply code capable of detecting faces, ER and transfer this
data into a database for further analysis, which consists of establishing the first
approximations to the relationship between students' emotions and other conditions
(subject, time of day, academic performance). By monitoring the emotional state of
students, if used properly, can improve educational processes, such as the teacher's
decision-making in the classroom, as well as optimise attention to students,
adjusting their methodology or focusing on a specific student.
Áreas temáticas: Social sciences (miscellaneous) Pharmacology Multidisciplinary Media technology Human-computer interaction Education & educational research Education Computer science applications Ciencias sociales Ciência da computação Architecture
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: gabriela.fretes@estudiants.urv.cat celia.llurba@urv.cat celia.llurba@urv.cat ramon.palau@urv.cat
Identificador del autor: 0000-0002-9843-3116
Fecha de alta del registro: 2024-09-07
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: http://ixdea.uniroma2.it/inevent/events/idea2010/index.php?s=102&link=52_4_abstract
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Interaction Design And Architecture(S). (52): 61-80
Referencia de l'ítem segons les normes APA: Cèlia Llurba; Gabriela Fretes; Ramon Palau (2022). Pilot study of real-time Emotional Recognition technology for Secondary school students. Interaction Design And Architecture(S), (52), 61-80. DOI: 10.55612/s-5002-052-004
DOI del artículo: 10.55612/s-5002-052-004
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications