Autor segons l'article: Cèlia Llurba; Gabriela Fretes; Ramon Palau
Departament: Pedagogia
Autor/s de la URV: Fretes Torruella, Maria Gabriela / Llurba Mort, Cèlia / Palau Martin, Ramon Felix
Paraules clau: Teaching Learning process Learning analytics Emotion recognition Database Artificial intelligence Achievement teaching learning process learning analytics database artificial intelligence
Resum: 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.
Àrees temàtiques: Social sciences (miscellaneous) Pharmacology Multidisciplinary Media technology Human-computer interaction Education & educational research Education Computer science applications Ciencias sociales Ciência da computação Architecture
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: gabriela.fretes@estudiants.urv.cat celia.llurba@urv.cat celia.llurba@urv.cat ramon.palau@urv.cat
Identificador de l'autor: 0000-0002-9843-3116
Data d'alta del registre: 2024-09-07
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Interaction Design And Architecture(S). (52): 61-80
Referència 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
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2022
Tipus de publicació: Journal Publications
Repositori URV