Chatbot as a learning assistant: Factors influencing adoption and recommendation
Autor(a) principal: | |
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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/10362/130212 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence |
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7160 |
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Chatbot as a learning assistant: Factors influencing adoption and recommendationChatbotGamificationMobile learningPersonal Learning EnvironmentSDG 4 - Quality educationDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceSoon, it is expected that artificial intelligence (AI) may replace many jobs whose work is based in repetitive tasks. Considering the role that this technology will play in our lives over the next few years, it would be interesting to take advantage of its potential now and use it as a transformation agent in the educational system. This study aims to evaluate the main drivers for adoption and recommendation of chatbots as a learning assistant to students in higher education. The research uses an innovative model based on gamification affordance, support construct from the students control model, and performance expectance, hedonic motivation, and behavioural intention to adopt constructs from the well-known UTAUT2 model. The model was empirically assessed using structural equation modelling (SEM) based on 302 responses from an online survey conducted in a South American country, Brazil. Support and hedonic motivation were found to be the most significant drivers for behaviour intention to adopt a chatbot. To explain the antecedents of the intention to recommend a chatbot, support and behavioural intention to adopt were the most important drivers found. For scholars, this research brings new material for further exploration of individual drivers for technology adoption and recommendation. For practitioners, knowing the main drivers for adoption and recommendation of a chatbot enables them to develop a technology with higher chances of absorption in the market.Oliveira, Tiago André Gonçalves Félix deBaptista, Gonçalo da Costa Aleixo Monteiro MelhoradoRUNMoraes, Caio Lemos2022-01-04T11:17:55Z2021-12-102021-12-10T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/130212TID:202838471enginfo: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:RCAAP2024-03-11T05:08:56Zoai:run.unl.pt:10362/130212Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:42.803536Repositório 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 |
Chatbot as a learning assistant: Factors influencing adoption and recommendation |
title |
Chatbot as a learning assistant: Factors influencing adoption and recommendation |
spellingShingle |
Chatbot as a learning assistant: Factors influencing adoption and recommendation Moraes, Caio Lemos Chatbot Gamification Mobile learning Personal Learning Environment SDG 4 - Quality education |
title_short |
Chatbot as a learning assistant: Factors influencing adoption and recommendation |
title_full |
Chatbot as a learning assistant: Factors influencing adoption and recommendation |
title_fullStr |
Chatbot as a learning assistant: Factors influencing adoption and recommendation |
title_full_unstemmed |
Chatbot as a learning assistant: Factors influencing adoption and recommendation |
title_sort |
Chatbot as a learning assistant: Factors influencing adoption and recommendation |
author |
Moraes, Caio Lemos |
author_facet |
Moraes, Caio Lemos |
author_role |
author |
dc.contributor.none.fl_str_mv |
Oliveira, Tiago André Gonçalves Félix de Baptista, Gonçalo da Costa Aleixo Monteiro Melhorado RUN |
dc.contributor.author.fl_str_mv |
Moraes, Caio Lemos |
dc.subject.por.fl_str_mv |
Chatbot Gamification Mobile learning Personal Learning Environment SDG 4 - Quality education |
topic |
Chatbot Gamification Mobile learning Personal Learning Environment SDG 4 - Quality education |
description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-10 2021-12-10T00:00:00Z 2022-01-04T11:17:55Z |
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/10362/130212 TID:202838471 |
url |
http://hdl.handle.net/10362/130212 |
identifier_str_mv |
TID:202838471 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138070122987520 |