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Method for evaluation and classification of self and co-regulation of learning in immersive narratives

dc.contributor.authorBonfim, Cristiane Jorge
dc.contributor.authorPedrosa, Daniela
dc.contributor.authorMorgado, Leonel
dc.contributor.editorKrüger, Juleen_US
dc.contributor.editorPedrosa, Danielaen_US
dc.contributor.editorBeck, Dennisen_US
dc.contributor.editorBourguet, Marie-Luceen_US
dc.contributor.editorDengel, Andreasen_US
dc.contributor.editorGhannam, Ramien_US
dc.contributor.editorMiller, Alanen_US
dc.contributor.editorPena-Rios, Anasolen_US
dc.contributor.editorRichter, Jonathonen_US
dc.date.accessioned2025-02-24T17:46:02Z
dc.date.available2025-02-24T17:46:02Z
dc.date.issued2025en_US
dc.date.updated2025-02-24T16:15:19Z
dc.description.abstractSelf and co-regulation of learning (SCRL) are strategies that students can adopt to become more active and committed to their learning. Encouraging students to adopt these strategies is a challenge for teachers that can be met by using narratives as a teaching resource. To support teachers in this process, we present a method for evaluating, classifying, and reflecting on excerpts from immersive narratives for SCRL, so that you can objectively base your decision when applying the method. The method was developed as an artifact of Design Science Research (DSR). In the Design stage of DSR, a 4-stage scheme was developed, and 38 criteria were described to identify and classify narratives that guide or encourage students to adopt SCRL strategies. In the DSR demonstration stage, we tested the method in an asynchronous e-learning curricular unit (UC) in Portuguese higher education, which uses a narrative-oriented immersive learning approach for SCRL, called e-Sim(Programming). The results show that the graphic visualization of the classification made it possible to perceive the occurrence of the SCRL categories in the narratives, enabling the teacher to be inspired and reflect on the categories to be enhanced for necessary changes in the narrative in line with their pedagogical objectives.eng
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1007/978-3-031-80475-5_34en_US
dc.identifier.isbn9783031804748en_US
dc.identifier.isbn9783031804755en_US
dc.identifier.issn1865-0929en_US
dc.identifier.issn1865-0937en_US
dc.identifier.slugcv-prod-4349035
dc.identifier.urihttp://hdl.handle.net/10400.2/19675
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature Switzerlanden_US
dc.relationINESC TEC - INESC Technology and Science
dc.rights.uriN/A
dc.subjectMethod
dc.subjectNarratives
dc.subjectCriteria
dc.subjectSelf-regulation and co-regulation of learning
dc.titleMethod for evaluation and classification of self and co-regulation of learning in immersive narrativeseng
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleINESC TEC - INESC Technology and Science
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50014%2F2019/PT
oaire.citation.endPage481
oaire.citation.startPage471
oaire.citation.titleImmersive Learning Research Network 10th International Conference on Immersive Learning, iLRN 2024, Glasgow, UK, June 10–13, 2024, Revised Selected Papers, Part Ien_US
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43
person.familyNamePedrosa
person.familyNameMorgado
person.givenNameDaniela
person.givenNameLeonel
person.identifierR-000-93D
person.identifier.ciencia-idFC10-C486-DC7C
person.identifier.ciencia-id7119-981F-18A9
person.identifier.orcid0000-0001-9536-4234
person.identifier.orcid0000-0001-5517-644X
person.identifier.ridF-2692-2010
person.identifier.scopus-author-id23025615500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.cv.cienciaid7119-981F-18A9 | LEONEL CASEIRO MORGADO
rcaap.rightsopenAccessen_US
relation.isAuthorOfPublication9f10ed31-c790-4496-b757-845b12aa42c1
relation.isAuthorOfPublication310d3b15-55de-40c7-8977-5becf9010910
relation.isAuthorOfPublication.latestForDiscovery9f10ed31-c790-4496-b757-845b12aa42c1
relation.isProjectOfPublication3c70c8d9-03ff-4814-b11c-4e16fab77bbd
relation.isProjectOfPublication.latestForDiscovery3c70c8d9-03ff-4814-b11c-4e16fab77bbd

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