Estimating orchestration load in CSCL situations using EDA

Simple item page
dc.contributor.authorCrespi, Francisco
dc.contributor.authorAmarasinghe, Ishari
dc.contributor.authorVujovic, Milica
dc.contributor.authorHernández Leo, Davinia
dc.date.accessioned2022-10-06T05:47:37Z
dc.date.issued2022
dc.descriptionComunicaciĂł presentada a: ICALT 2022 International Conference on Advanced Learning Technologies, celebrat del 1 al 4 de juliol de 2022 a Bucarest, Rumania.
dc.description.abstractThis study investigates the extent to which Electrodermal Activity (EDA) sensor data can be triangulated with self-perception measures to estimate facets of teachers’ orchestration load in the context of Computer-Supported Collaborative Learning (CSCL). It was expected to observe variances in the EDA signal as a result of stressful moments and incidents related to orchestration. Study findings indicated that EDA variations concurred with situations in which the teacher reported feeling stressed when orchestrating CSCL Pyramid scripts.
dc.description.sponsorshipThis work has been partially funded by the Ministry of Science and Innovation and the National Research Agency (PID2020-112584RBC33/MICIN/AEI/10.13039/501100011033). D. Hernandez- Leo (Serra Hunter) acknowledges the support by ICREA under the ICREA Academia program.
dc.format.mimetypeapplication/pdf
dc.identifier.citationCrespi F, Amarasinghe I, Vujovic M, Hernández-Leo D. Estimating orchestration load in CSCL situations using EDA. In: 2022 International Conference on Advanced Learning Technologies, ICALT 2022; 2022 Jul 1-4; Bucharest, Romania. [New York]: IEEE; 2022. p. 128-32. DOI: 10.1109/ICALT55010.2022.00046
dc.identifier.doihttp://doi.org/10.1109/ICALT55010.2022.00046
dc.identifier.urihttp://hdl.handle.net/10230/54282
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof2022 International Conference on Advanced Learning Technologies, ICALT 2022; 2022 Jul 1-4; Bucharest, Romania. [New York]: IEEE; 2022. p. 128-32.
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/2PE/PID2020-112584RBC33
dc.rights© 2022 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/ICALT55010.2022.00046
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordOrchestration Load
dc.subject.keywordElectrodermal Activity (EDA)
dc.subject.keywordComputer-Supported
dc.titleEstimating orchestration load in CSCL situations using EDA
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Crespi_ica_esti.pdf
Size:
702.39 KB
Format:
Adobe Portable Document Format
Download

Collections