The Challenge of gathering self-reported moods: Cases using a classroom orchestration tool

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  • dc.contributor.author Beardsley, Marc Yoshimi
  • dc.contributor.author Vujovic, Milica
  • dc.contributor.author Theophilou, Emily
  • dc.contributor.author Hernández Leo, Davinia
  • dc.contributor.author Portero Tresserra, Marta
  • dc.date.accessioned 2020-09-01T08:02:41Z
  • dc.date.issued 2020
  • dc.description Comunicació presentada a: ICALT 2020 International Conference on Advanced Learning Technologies and Technology-enhanced Learning, organitzada a Tartu, Estònia, del 6 al 9 de juliol de 2020ca
  • dc.description.abstract Self-reports of affective states are increasingly being collected in educational settings. However, individual definitions and usage of emotion and mood terms are often subjective despite objective definitions becoming more widely accepted. We explore whether the variation among individual learners in how mood terms are defined presents an obstacle to using self-reported mood data for group comparison studies. Following a design-based research methodology, we ran two case studies to explore the use of ClassMood App in a multimodal learning study and the validity of the self-reported mood data it collected. During the first case, 24 primary school students experienced difficulty understanding the words used to describe the moods in ClassMood App. In the second case, involving 77 university students, we explored whether the misunderstanding of mood words persisted with older students. Participants were asked to rate their familiarity with and match definitions to a set of 8 mood words. We found that levels of familiarity with the mood words varied greatly and 17.9% of all definition matching attempts were incorrect. The results suggest that the variation in subjective definitions of mood terms is likely to affect the validity of the data collected by the ClassMood App for group comparison studies.en
  • dc.description.sponsorship This work has been partially funded by the European Regional Development Fund, Erasmus+, and the National Research Agency of the Spanish Ministry of Science, Innovation and Universities, under project grants TIN2017-85179-C3-3-R, 2018-1-ESOI-KA20I-050646, and MDM-2015-0502. D. Hernández-Leo acknowledges the support by ICREA under the ICREA Academia programme.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Beardsley M, Vujovic M, Theophilou E, Hernàndez-Leo D, Portero Tresserra M. The Challenge of gathering self-reported moods: Cases using a classroom orchestration tool. In: ICALT 2020 International Conference on Advanced Learning Technologies and Technology-enhanced Learning; 2020 Jul 6-9; Tartu, Estonia. New York: IEEE; 2020. p. 355-9. DOI: 10.1109/ICALT49669.2020.00114
  • dc.identifier.doi http://dx.doi.org/10.1109/ICALT49669.2020.00114
  • dc.identifier.isbn 978-1-7281-6090-0
  • dc.identifier.issn 2161-377X
  • dc.identifier.uri http://hdl.handle.net/10230/45240
  • dc.language.iso eng
  • dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
  • dc.relation.ispartof ICALT 2020 International Conference on Advanced Learning Technologies and Technology-enhanced Learning; 2020 Jul 6-9; Tartu, Estonia. New York: IEEE; 2020. p. 355-9.
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/TIN2017-85179-C3-3-R
  • dc.rights © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/ICALT49669.2020.00114
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword Emotion measurementen
  • dc.subject.keyword Data validationen
  • dc.subject.keyword Social and emotional learningen
  • dc.subject.keyword User interface designen
  • dc.subject.keyword Orchestration toolen
  • dc.title The Challenge of gathering self-reported moods: Cases using a classroom orchestration tool
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/acceptedVersion

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