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

2023-12Conference object Open access
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dc.contributor.authorLopes, Carlos
dc.contributor.authorAntunes, Maria Da Luz
dc.contributor.authorSanches, Tatiana
dc.date.accessioned2023-12-10T15:52:21Z
dc.date.available2023-12-10T15:52:21Z
dc.date.issued2023-12
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 ML, Sanches T. 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/10400.21/16668
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttps://www.wbimlc.org/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectInformation literacypt_PT
dc.subjectACRL Frameworkpt_PT
dc.subjectArtificvial intelligencept_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.citation.conferencePlaceBihacpt_PT
person.familyNameAntunes
person.familyNameSanches
person.givenNameMaria Luz
person.givenNameTatiana
person.identifierN-6530-2013
person.identifier2087122
person.identifier10482140770896435107
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.scopus-author-id15074167200
person.identifier.scopus-author-id57202291460
person.identifier.scopus-author-id56499097100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication5bce7415-d4e2-4c10-86e7-a87c4b69407f
relation.isAuthorOfPublicationdce3e466-ad17-4bea-8b95-4a5b9bb22910
relation.isAuthorOfPublicationd4c19add-be38-4c8e-bd56-4e7a9073de95
relation.isAuthorOfPublication.latestForDiscovery5bce7415-d4e2-4c10-86e7-a87c4b69407f

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