Articles producció científica> Pedagogia

Pilot study of real-time Emotional Recognition technology for Secondary school students

  • Dades identificatives

    Identificador: imarina:9267346
    Autors:
    Cèlia LlurbaGabriela FretesRamon Palau
    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.
  • Altres:

    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
    Enllaç font original: http://ixdea.uniroma2.it/inevent/events/idea2010/index.php?s=102&link=52_4_abstract
    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
    DOI de l'article: 10.55612/s-5002-052-004
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2022
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Architecture,Computer Science Applications,Education,Education & Educational Research,Human-Computer Interaction,Media Technology,Multidisciplinary,Pharmacology,Social Sciences (Miscellaneous)
    Teaching
    Learning process
    Learning analytics
    Emotion recognition
    Database
    Artificial intelligence
    Achievement
    teaching
    learning process
    learning analytics
    database
    artificial intelligence
    Social sciences (miscellaneous)
    Pharmacology
    Multidisciplinary
    Media technology
    Human-computer interaction
    Education & educational research
    Education
    Computer science applications
    Ciencias sociales
    Ciência da computação
    Architecture
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