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Building stronger academic communities through critical thinking: linking ACRL Framework to AI

2023-12-07Conference object Open access
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dc.contributor.authorLopes, Carlos
dc.contributor.authorAntunes, Maria da Luz
dc.contributor.authorSanches, Tatiana
dc.date.accessioned2025-03-25T09:24:07Z
dc.date.available2025-03-25T09:24:07Z
dc.date.issued2023-12-07
dc.descriptionThis work was supported by National Funds through FCT-Portuguese Foundation for Science and Technology, I.P., under the scope of UIDEF - Unidade de Investigação e Desenvolvimento em Educação e Formação, UIDB/04107/2020, https://doi.org/10.54499/UIDB/04107/2020.pt_PT
dc.description.abstractThe Framework for Information Literacy for Higher Education (ACRL) is a reference document that has served as a reflective guide for the pedagogical practices carried out by academic librarians. The present study proposes looking at each of the six conceptual frames recommended by this guiding document, observing the pedagogical opportunities brought by artificial intelligence (AI), namely chatGPT, for their teaching. Based on a literature review on the characteristics and functionalities of chatGPT, as well as its opportunities and risks presented in an international context, it is proposed to apply it in personalized academic tasks, suggesting the adoption of pedagogical experiences. This should be combined with the stimulation of critical thinking, reflecting on the opportunity to teach information skills in higher education libraries to promote knowledge and practical application of this communication tool. Thus, for each conceptual frame, examples and situated learning strategies are listed, which can contribute to acquiring essential instruments and structures of the mechanisms necessary for information skills. Regarding specifically understanding the usefulness and suitability of AI, it is important to work on the ability to extract relevant information from artificially written texts, knowing how to ask the right questions, so that it becomes a powerful instrument for obtaining and processing information, transversal learning and social insertion and is not reduced to mere superficial school learning, but reveals its potential in contexts of search, analysis and production of academic information. The main objective of this work is to make a creative and innovative contribution to the practical and situated application of the ACRL Framework in the context of generative AI, exploring the features of chatGPT to explain the concepts, dispositions, and practices recommended for teaching Information Literacy.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLopes, C., Antunes, M. L., & Sanches, T. (2023). Building stronger academic communities through critical thinking: linking ACRL Framework to AI. In Western Balkan Information & Media Literacy (WBIMLC) and 12th International Summit of the Book, Bihac (Bosnia and Herzegovina), December 7-8, 2023.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/99666
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationEducation and Training Research and Development Unit
dc.subjectInformation literacypt_PT
dc.subjectACRL frameworkpt_PT
dc.subjectArtificial inteligencept_PT
dc.subjectChatGPTpt_PT
dc.subjectAcademic skillspt_PT
dc.subjectCritical thinkingpt_PT
dc.titleBuilding stronger academic communities through critical thinking: linking ACRL Framework to AIpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleEducation and Training Research and Development Unit
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04107%2F2020/PT
oaire.citation.conferencePlaceBihac (Bosnia and Herzegovina)pt_PT
oaire.citation.titleWestern Balkan Information & Media Literacy (WBIMLC) and 12th International Summit of the Book, December 7-8, 2023pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameLopes
person.familyNameAntunes
person.familyNameSanches
person.givenNameCarlos
person.givenNameMaria Luz
person.givenNameTatiana
person.identifierN-6530-2013
person.identifier2087122
person.identifier1887615
person.identifier.ciencia-id7916-AB38-9931
person.identifier.ciencia-idB111-6F38-5904
person.identifier.ciencia-id2C17-1B53-FBDC
person.identifier.orcid0000-0002-6440-4739
person.identifier.orcid0000-0003-0942-7601
person.identifier.orcid0000-0002-4902-2628
person.identifier.ridB-8661-2015
person.identifier.ridC-2773-2014
person.identifier.scopus-author-id15074167200
person.identifier.scopus-author-id57202291460
person.identifier.scopus-author-id56499097100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication8c52ac1a-fbfa-459a-8730-a620ea5b35a0
relation.isAuthorOfPublicatione96b6260-66b3-4b86-a6ae-f2158a921de8
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