Chatbot as a learning assistant: Factors influencing adoption and recommendation

Detalhes bibliográficos
Autor(a) principal: Moraes, Caio Lemos
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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spelling 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
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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
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repository.mail.fl_str_mv
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