Author, as appears in the article.: Cèlia Llurba; Gabriela Fretes; Ramon Palau
Department: Pedagogia
URV's Author/s: Fretes Torruella, Maria Gabriela / Llurba Mort, Cèlia / Palau Martin, Ramon Felix
Keywords: Teaching Learning process Learning analytics Emotion recognition Database Artificial intelligence Achievement teaching learning process learning analytics database artificial intelligence
Abstract: 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.
Thematic Areas: Social sciences (miscellaneous) Pharmacology Multidisciplinary Media technology Human-computer interaction Education & educational research Education Computer science applications Ciencias sociales Ciência da computação Architecture
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: gabriela.fretes@estudiants.urv.cat celia.llurba@urv.cat celia.llurba@urv.cat ramon.palau@urv.cat
Author identifier: 0000-0002-9843-3116
Record's date: 2024-09-07
Papper version: info:eu-repo/semantics/publishedVersion
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Interaction Design And Architecture(S). (52): 61-80
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
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications
Repositori URV