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Tutorial–authoring a personal GPT for your research and practice: how we created the QUAL-E immersive learning thematic analysis helper

2024-06-03Conference object Open access
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dc.contributor.authorMorgado, Leonel
dc.contributor.authorBeck, Dennis
dc.date.accessioned2024-06-04T07:49:46Z
dc.date.available2024-06-04T07:49:46Z
dc.date.issued2024-06-03
dc.date.updated2024-06-03T22:15:36Z
dc.description.abstractThematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.56198/5M1RHFUMBpt_PT
dc.identifier.isbn978-1-7348995-8-0
dc.identifier.slugcv-prod-4091141
dc.identifier.urihttp://hdl.handle.net/10400.2/16096
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherImmersive Learning Research Networkpt_PT
dc.subjectChatGPTpt_PT
dc.subjectGPTpt_PT
dc.subjectQualitative analysispt_PT
dc.subjectThematic analysispt_PT
dc.titleTutorial–authoring a personal GPT for your research and practice: how we created the QUAL-E immersive learning thematic analysis helperpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceEstados Unidospt_PT
oaire.citation.endPage3pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleiLRN2024. 10th International Conference of the Immersive Learning Research Networkpt_PT
person.familyNameMorgado
person.familyNameBeck
person.givenNameLeonel
person.givenNameDennis
person.identifierR-000-93D
person.identifier.ciencia-id7119-981F-18A9
person.identifier.orcid0000-0001-5517-644X
person.identifier.orcid0000-0003-1771-3237
person.identifier.ridF-2692-2010
person.identifier.scopus-author-id23025615500
rcaap.cv.cienciaid7119-981F-18A9 | LEONEL CASEIRO MORGADO
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication310d3b15-55de-40c7-8977-5becf9010910
relation.isAuthorOfPublication2bdc7cd2-16e4-452f-ae68-e159a3d4b6d1
relation.isAuthorOfPublication.latestForDiscovery310d3b15-55de-40c7-8977-5becf9010910

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