Looking to the future: AI in education

Detalhes bibliográficos
Autor(a) principal: Batuca, Duarte Miguel dos Reis
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/24947
Resumo: Artificial intelligence today rises mixed impressions amongst society. It is well-established that artificial intelligence brings advantages to different process, but these come at a cost. There is fear about the negative impacts of artificial intelligence on society. The aim of this thesis is to study acceptance about artificial intelligence in education. It investigates a group of individuals about their experience or lack of it, in learning using artificial intelligence tools, their experience and acceptance of the technology. To determine the factors that may influence the adoption of AI in education, an online survey and interviews were made online to anyone willing to answer. The questionnaire divided respondents into two different groups, people with experience and people without it. Their answers to the technology acceptance model were used to study acceptance and it was proposed social interaction as an additional factor that can influence acceptance in the education domain. The questions were analyzed by using One-Way ANOVA and multiple linear regression analysis. These conclusions point to the acceptance of both nonusers and users of AI to a mixed service, integrating traditional learning and artificial intelligence is valued by the sample acquired. It is to be expected acceptance will increase with more knowledge and social interaction. On this basis schools or learning institutions should try to implement this technology in their educational system and educate professors.
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spelling Looking to the future: AI in educationArtificial intelligenceServiços -- ServicesResistanceFearTrustAnálise de mercado -- Market analysisEducação -- EducationAcceptance modelInteligência artificialResistênciaMedoConfiançaModelo de aceitaçãoArtificial intelligence today rises mixed impressions amongst society. It is well-established that artificial intelligence brings advantages to different process, but these come at a cost. There is fear about the negative impacts of artificial intelligence on society. The aim of this thesis is to study acceptance about artificial intelligence in education. It investigates a group of individuals about their experience or lack of it, in learning using artificial intelligence tools, their experience and acceptance of the technology. To determine the factors that may influence the adoption of AI in education, an online survey and interviews were made online to anyone willing to answer. The questionnaire divided respondents into two different groups, people with experience and people without it. Their answers to the technology acceptance model were used to study acceptance and it was proposed social interaction as an additional factor that can influence acceptance in the education domain. The questions were analyzed by using One-Way ANOVA and multiple linear regression analysis. These conclusions point to the acceptance of both nonusers and users of AI to a mixed service, integrating traditional learning and artificial intelligence is valued by the sample acquired. It is to be expected acceptance will increase with more knowledge and social interaction. On this basis schools or learning institutions should try to implement this technology in their educational system and educate professors.A inteligência artificial hoje gera impressões diversas entre a sociedade. Está bem estabelecido que a inteligência artificial traz vantagens para diferentes processos, mas a um custo. Há medo sobre os impactos negativos da inteligência artificial na sociedade. O objetivo desta tese é estudar a aceitação da inteligência artificial na educação. Investigando um grupo de indivíduos sobre a sua experiência, ou falta dela, em usar ferramentas de inteligência artificial na aprendizagem, sua perspetiva e aceitação da tecnologia. Para determinar os fatores que podem influenciar a adoção da IA na educação, uma pesquisa online e entrevistas foram feitas online para qualquer pessoa disposta a responder. O questionário dividiu os respondentes em dois grupos diferentes, pessoas com experiência e pessoas sem experiência no uso de IA na educação. As respostas às perguntas usam uma versão do modelo de aceitação de tecnologia para estudar esta aceitação e foi proposto um fator adicional que pode influenciar a adoção no domínio da educação. As perguntas foram analisadas por meio de One-Way ANOVA e análise de regressão linear múltipla. Essas conclusões apontam para a aceitação de não usuários e usuários de IA a um serviço misto, o processo integrando da aprendizagem tradicional com a inteligência artificial é aceite pelo grupo estudado. É esperado existir um aumento da aceitação com o aumento da familiaridade e interação social. Com base nisso, as escolas ou instituições de ensino devem tentar implementar essa tecnologia em seu sistema educacional e formar professores.2022-04-01T11:30:47Z2022-01-26T00:00:00Z2022-01-262021-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/24947TID:202943828engBatuca, Duarte Miguel dos Reisinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:48:01Zoai:repositorio.iscte-iul.pt:10071/24947Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:23:21.741301Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Looking to the future: AI in education
title Looking to the future: AI in education
spellingShingle Looking to the future: AI in education
Batuca, Duarte Miguel dos Reis
Artificial intelligence
Serviços -- Services
Resistance
Fear
Trust
Análise de mercado -- Market analysis
Educação -- Education
Acceptance model
Inteligência artificial
Resistência
Medo
Confiança
Modelo de aceitação
title_short Looking to the future: AI in education
title_full Looking to the future: AI in education
title_fullStr Looking to the future: AI in education
title_full_unstemmed Looking to the future: AI in education
title_sort Looking to the future: AI in education
author Batuca, Duarte Miguel dos Reis
author_facet Batuca, Duarte Miguel dos Reis
author_role author
dc.contributor.author.fl_str_mv Batuca, Duarte Miguel dos Reis
dc.subject.por.fl_str_mv Artificial intelligence
Serviços -- Services
Resistance
Fear
Trust
Análise de mercado -- Market analysis
Educação -- Education
Acceptance model
Inteligência artificial
Resistência
Medo
Confiança
Modelo de aceitação
topic Artificial intelligence
Serviços -- Services
Resistance
Fear
Trust
Análise de mercado -- Market analysis
Educação -- Education
Acceptance model
Inteligência artificial
Resistência
Medo
Confiança
Modelo de aceitação
description Artificial intelligence today rises mixed impressions amongst society. It is well-established that artificial intelligence brings advantages to different process, but these come at a cost. There is fear about the negative impacts of artificial intelligence on society. The aim of this thesis is to study acceptance about artificial intelligence in education. It investigates a group of individuals about their experience or lack of it, in learning using artificial intelligence tools, their experience and acceptance of the technology. To determine the factors that may influence the adoption of AI in education, an online survey and interviews were made online to anyone willing to answer. The questionnaire divided respondents into two different groups, people with experience and people without it. Their answers to the technology acceptance model were used to study acceptance and it was proposed social interaction as an additional factor that can influence acceptance in the education domain. The questions were analyzed by using One-Way ANOVA and multiple linear regression analysis. These conclusions point to the acceptance of both nonusers and users of AI to a mixed service, integrating traditional learning and artificial intelligence is valued by the sample acquired. It is to be expected acceptance will increase with more knowledge and social interaction. On this basis schools or learning institutions should try to implement this technology in their educational system and educate professors.
publishDate 2021
dc.date.none.fl_str_mv 2021-10
2022-04-01T11:30:47Z
2022-01-26T00:00:00Z
2022-01-26
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/24947
TID:202943828
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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