Articles producció científica> Pedagogia

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

  • Identification data

    Identifier: imarina:9267346
    Authors:
    Cèlia LlurbaGabriela FretesRamon Palau
    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.
  • Others:

    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
    Link to the original source: http://ixdea.uniroma2.it/inevent/events/idea2010/index.php?s=102&link=52_4_abstract
    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
    Article's DOI: 10.55612/s-5002-052-004
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    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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