Contributions of Cognitive load theory to understanding information overload: a literature review
Autor(a) principal: | |
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Data de Publicação: | 2024 |
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Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Revista Digital de Biblioteconomia e Ciência da Informação |
Texto Completo: | https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8677359 |
Resumo: | Introduction: Information overload (IS) has become a prominent phenomenon in the digital age, where excess information causes cognitive overload. Objective: This study aimed to analyze studies in Information Science that address IS related to Cognitive Load Theory (CLT). Methodology: For data collection, a survey of scientific articles and papers presented at events was carried out in the Web of Science and Scopus databases. Twenty-six papers were selected. Using thematic analysis, three thematic categories were identified in the set of papers analyzed: Effects of information and communication technologies; Impact on learning; and Misinformation and sharing during the covid-19 period. Results: CLT was used as a theoretical basis for developing conceptual models and testing hypotheses to explain how information systems, through their design and search options, can cause IS. It was also used in the design of learning resources to improve knowledge acquisition and in understanding the misinformation caused by information overload during the covid-19 pandemic. Conclusion: It was concluded that the integration of CLT and IS provides a deeper understanding of the challenges faced by human cognitive capacity, identifying the factors that contribute to IS and the implementation of CLT-based strategies. |
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Contributions of Cognitive load theory to understanding information overload: a literature reviewContribuições da teoria da carga cognitiva para compreensão da sobrecarga informacional: uma revisão de literaturaInformation overloadCognitive Load TheoryCognitive loadsCognitive overloadLiterature reviewSobrecarga informacionalTeoria da Carga CognitivaCargas cognitivasSobrecarga cognitivaRevisão de literaturaIntroduction: Information overload (IS) has become a prominent phenomenon in the digital age, where excess information causes cognitive overload. Objective: This study aimed to analyze studies in Information Science that address IS related to Cognitive Load Theory (CLT). Methodology: For data collection, a survey of scientific articles and papers presented at events was carried out in the Web of Science and Scopus databases. Twenty-six papers were selected. Using thematic analysis, three thematic categories were identified in the set of papers analyzed: Effects of information and communication technologies; Impact on learning; and Misinformation and sharing during the covid-19 period. Results: CLT was used as a theoretical basis for developing conceptual models and testing hypotheses to explain how information systems, through their design and search options, can cause IS. It was also used in the design of learning resources to improve knowledge acquisition and in understanding the misinformation caused by information overload during the covid-19 pandemic. Conclusion: It was concluded that the integration of CLT and IS provides a deeper understanding of the challenges faced by human cognitive capacity, identifying the factors that contribute to IS and the implementation of CLT-based strategies.Introdução: A sobrecarga informacional (SI) tem se tornado um fenômeno destacado na era digital, onde o excesso de informações provoca sobrecarga cognitiva. Objetivo: Este estudo objetivou analisar estudos da Ciência da Informação que tratam da SI relacionada à Teoria da Carga Cognitiva (TCC). Metodologia: Para coleta de dados, foi realizado um levantamento de artigos científicos e trabalhos apresentados em eventos nas bases de dados Web of Science e Scopus. Vinte e seis trabalhos foram selecionados. Utilizando-se a análise temática, foram identificadas três categorias temáticas no conjunto de trabalhos analisados: Efeitos das tecnologias da informação e comunicação; Impacto no aprendizado; e Desinformação e compartilhamento durante o período de covid-19. Resultados: Verificou-se que a TCC foi empregada como fundamentação teórica para o desenvolvimento de modelos conceituais e testes de hipóteses para explicar como sistemas de informação, por meio de seus designs e opções de busca, podem provocar a SI. Também foi utilizada no design dos recursos de aprendizagem visando melhorar a aquisição do conhecimento, e ainda na compreensão da desinformação causada pelo excesso de informações durante a pandemia de covid-19. Conclusão: Concluiu-se que a integração entre TCC e SI proporciona uma compreensão mais profunda dos desafios enfrentados pela capacidade cognitiva humana, ao identificar os fatores que contribuem para a SI e a implementação de estratégias baseadas na TCC.Universidade Estadual de Campinas2024-10-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoinfo:eu-repo/semantics/otherapplication/pdfapplication/pdftext/htmltext/htmlhttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/867735910.20396/rdbci.v22i00.8677359RDBCI: Digital Journal of Library and Information Science; Vol. 22 (2024): Continous Publication; e024027RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação; v. 22 (2024): Publicação Contínua; e0240271678-765Xreponame:Revista Digital de Biblioteconomia e Ciência da Informaçãoinstname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPporenghttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8677359/34886https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8677359/enhttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8677359/34888https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8677359/34889 Global; ContemporaryGlobal; ContemporâneoCopyright (c) 2024 Brianda de Oliveira Ordonho Sigolo, Helen de Castro Silva Casarinhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSigolo, Brianda de Oliveira OrdonhoCasarin, Helen de Castro Silva2024-10-22T11:26:36Zoai:ojs.periodicos.sbu.unicamp.br:article/8677359Revistahttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbciPUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/oaippec@unicamp.br||gilbfe@unicamp.br|| rdbci@unicamp.br|| danif@unicamp.br1678-765X1678-765Xopendoar:2024-10-22T11:26:36Revista Digital de Biblioteconomia e Ciência da Informação - Universidade Estadual de Campinas (UNICAMP)false |
dc.title.none.fl_str_mv |
Contributions of Cognitive load theory to understanding information overload: a literature review Contribuições da teoria da carga cognitiva para compreensão da sobrecarga informacional: uma revisão de literatura |
title |
Contributions of Cognitive load theory to understanding information overload: a literature review |
spellingShingle |
Contributions of Cognitive load theory to understanding information overload: a literature review Sigolo, Brianda de Oliveira Ordonho Information overload Cognitive Load Theory Cognitive loads Cognitive overload Literature review Sobrecarga informacional Teoria da Carga Cognitiva Cargas cognitivas Sobrecarga cognitiva Revisão de literatura |
title_short |
Contributions of Cognitive load theory to understanding information overload: a literature review |
title_full |
Contributions of Cognitive load theory to understanding information overload: a literature review |
title_fullStr |
Contributions of Cognitive load theory to understanding information overload: a literature review |
title_full_unstemmed |
Contributions of Cognitive load theory to understanding information overload: a literature review |
title_sort |
Contributions of Cognitive load theory to understanding information overload: a literature review |
author |
Sigolo, Brianda de Oliveira Ordonho |
author_facet |
Sigolo, Brianda de Oliveira Ordonho Casarin, Helen de Castro Silva |
author_role |
author |
author2 |
Casarin, Helen de Castro Silva |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Sigolo, Brianda de Oliveira Ordonho Casarin, Helen de Castro Silva |
dc.subject.por.fl_str_mv |
Information overload Cognitive Load Theory Cognitive loads Cognitive overload Literature review Sobrecarga informacional Teoria da Carga Cognitiva Cargas cognitivas Sobrecarga cognitiva Revisão de literatura |
topic |
Information overload Cognitive Load Theory Cognitive loads Cognitive overload Literature review Sobrecarga informacional Teoria da Carga Cognitiva Cargas cognitivas Sobrecarga cognitiva Revisão de literatura |
description |
Introduction: Information overload (IS) has become a prominent phenomenon in the digital age, where excess information causes cognitive overload. Objective: This study aimed to analyze studies in Information Science that address IS related to Cognitive Load Theory (CLT). Methodology: For data collection, a survey of scientific articles and papers presented at events was carried out in the Web of Science and Scopus databases. Twenty-six papers were selected. Using thematic analysis, three thematic categories were identified in the set of papers analyzed: Effects of information and communication technologies; Impact on learning; and Misinformation and sharing during the covid-19 period. Results: CLT was used as a theoretical basis for developing conceptual models and testing hypotheses to explain how information systems, through their design and search options, can cause IS. It was also used in the design of learning resources to improve knowledge acquisition and in understanding the misinformation caused by information overload during the covid-19 pandemic. Conclusion: It was concluded that the integration of CLT and IS provides a deeper understanding of the challenges faced by human cognitive capacity, identifying the factors that contribute to IS and the implementation of CLT-based strategies. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-10-10 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Texto info:eu-repo/semantics/other |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8677359 10.20396/rdbci.v22i00.8677359 |
url |
https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8677359 |
identifier_str_mv |
10.20396/rdbci.v22i00.8677359 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8677359/34886 https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8677359/en https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8677359/34888 https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8677359/34889 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2024 Brianda de Oliveira Ordonho Sigolo, Helen de Castro Silva Casarin https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2024 Brianda de Oliveira Ordonho Sigolo, Helen de Castro Silva Casarin https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf text/html text/html |
dc.coverage.none.fl_str_mv |
Global; Contemporary Global; Contemporâneo |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
dc.source.none.fl_str_mv |
RDBCI: Digital Journal of Library and Information Science; Vol. 22 (2024): Continous Publication; e024027 RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação; v. 22 (2024): Publicação Contínua; e024027 1678-765X reponame:Revista Digital de Biblioteconomia e Ciência da Informação instname:Universidade Estadual de Campinas (UNICAMP) instacron:UNICAMP |
instname_str |
Universidade Estadual de Campinas (UNICAMP) |
instacron_str |
UNICAMP |
institution |
UNICAMP |
reponame_str |
Revista Digital de Biblioteconomia e Ciência da Informação |
collection |
Revista Digital de Biblioteconomia e Ciência da Informação |
repository.name.fl_str_mv |
Revista Digital de Biblioteconomia e Ciência da Informação - Universidade Estadual de Campinas (UNICAMP) |
repository.mail.fl_str_mv |
ppec@unicamp.br||gilbfe@unicamp.br|| rdbci@unicamp.br|| danif@unicamp.br |
_version_ |
1814257088066486272 |