Contributions of Cognitive load theory to understanding information overload: a literature review

Detalhes bibliográficos
Autor(a) principal: Sigolo, Brianda de Oliveira Ordonho
Data de Publicação: 2024
Outros Autores: Casarin, Helen de Castro Silva
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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spelling 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
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