Generative artificial intelligence for education: The present and the future

Bibliographic Details
Main Author: Reynaud, Teresa Vaz
Publication Date: 2024
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10071/33817
Summary: The advancements in generative artificial intelligence (genAI) technologies, such as ChatGPT, DALL-E, Bing AI, and Copilot, have significantly disrupted various sectors, including education. These tools are capable of generating human-like content and present opportunities and challenges for education. This study conducted a systematic literature review (SLR) of 121 peer-reviewed articles published between 2018 and 2023, offering a comprehensive overview of the current research on genAI in education. It explores the applications and benefits, limitations, risks and concerns, the educational levels addressed, future recommendations, and the genAI tools mentioned in the literature. The findings reveal that genAI has the potential to transform education by offering personalised learning experiences, real-time feedback, and support for educators in lesson planning and content generation. On the other hand, significant concerns have emerged, including the risk of academic dishonesty, over-reliance on AI tools, and a potential decline in students' critical thinking and problemsolving skills. Additionally, issues related to misinformation, biased content, and ethical considerations emphasise the need for a cautious and well-regulated integration of genAI in educational settings. Recommendations are provided for institutions to integrate these tools while mitigating associated risks effectively. This includes incorporating AI into the curriculum, updating assessment methods to prevent academic misconduct, and encouraging a balanced use of technology that complements traditional teaching practices. This research offers a valuable perspective on the evolving role of genAI in education, providing insights for educators, institutions, and researchers.
id RCAP_e2beea4dd54b7b7e59d172bb5b011602
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/33817
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Generative artificial intelligence for education: The present and the futureInteligência artificial -- Artificial intelligenceGenerative AIEducação -- EducationAI in educationSystematic literature reviewIA generativaIA na educaçãoRevisão sistemática da literaturaThe advancements in generative artificial intelligence (genAI) technologies, such as ChatGPT, DALL-E, Bing AI, and Copilot, have significantly disrupted various sectors, including education. These tools are capable of generating human-like content and present opportunities and challenges for education. This study conducted a systematic literature review (SLR) of 121 peer-reviewed articles published between 2018 and 2023, offering a comprehensive overview of the current research on genAI in education. It explores the applications and benefits, limitations, risks and concerns, the educational levels addressed, future recommendations, and the genAI tools mentioned in the literature. The findings reveal that genAI has the potential to transform education by offering personalised learning experiences, real-time feedback, and support for educators in lesson planning and content generation. On the other hand, significant concerns have emerged, including the risk of academic dishonesty, over-reliance on AI tools, and a potential decline in students' critical thinking and problemsolving skills. Additionally, issues related to misinformation, biased content, and ethical considerations emphasise the need for a cautious and well-regulated integration of genAI in educational settings. Recommendations are provided for institutions to integrate these tools while mitigating associated risks effectively. This includes incorporating AI into the curriculum, updating assessment methods to prevent academic misconduct, and encouraging a balanced use of technology that complements traditional teaching practices. This research offers a valuable perspective on the evolving role of genAI in education, providing insights for educators, institutions, and researchers.O crescimento da inteligência artificial (IA) generativa, como o ChatGPT, DALL-E, Bing AI e Copilot, tem demonstrado um impacto significativo em diversos setores, incluindo a educação. Estas ferramentas capazes de gerar conteúdo semelhante ao produzido por humanos, apresentam tanto oportunidades quanto desafios para a educação. Este estudo realiza uma revisão sistemática da literatura, com um conjunto de 121 artigos publicados entre 2018 e 2023, oferecendo uma visão abrangente da IA generativa na educação. Explora as aplicações e benefícios, as limitações, riscos e preocupações, os níveis de educação abordados e recomendações futuras, assim como as ferramentas mencionadas. Os resultados revelam que a IA generativa tem o potencial de transformar a educação, possibilitando uma aprendizagem personalizada, feedback em tempo real e suporte para os educadores no planeamento de aulas e criação de material. No entanto, surgiram preocupações como o risco de desonestidade académica, a dependência excessiva nestas ferramentas e um possível declínio nas competências de pensamento crítico e resolução de problemas. Questões como informação falsa, conteúdo tendencioso e considerações éticas reforçam a necessidade de uma integração cautelosa da IA. São fornecidas recomendações para que as instituições de ensino integrem estas ferramentas, ao mesmo tempo que mitigam os riscos associados. Isto inclui a incorporação de IA no currículo, a inovação dos métodos de avaliação e a promoção de um uso equilibrado da tecnologia que complemente as práticas de ensino tradicionais. Esta investigação oferece uma perspetiva valiosa sobre a IA generativa na educação, proporcionando insights para educadores, instituições e investigadores.2025-03-19T12:40:58Z2024-11-18T00:00:00Z2024-11-182024-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/33817TID:203782925engReynaud, Teresa Vazinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-23T01:21:53Zoai:repositorio.iscte-iul.pt:10071/33817Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T04:39:28.960928Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Generative artificial intelligence for education: The present and the future
title Generative artificial intelligence for education: The present and the future
spellingShingle Generative artificial intelligence for education: The present and the future
Reynaud, Teresa Vaz
Inteligência artificial -- Artificial intelligence
Generative AI
Educação -- Education
AI in education
Systematic literature review
IA generativa
IA na educação
Revisão sistemática da literatura
title_short Generative artificial intelligence for education: The present and the future
title_full Generative artificial intelligence for education: The present and the future
title_fullStr Generative artificial intelligence for education: The present and the future
title_full_unstemmed Generative artificial intelligence for education: The present and the future
title_sort Generative artificial intelligence for education: The present and the future
author Reynaud, Teresa Vaz
author_facet Reynaud, Teresa Vaz
author_role author
dc.contributor.author.fl_str_mv Reynaud, Teresa Vaz
dc.subject.por.fl_str_mv Inteligência artificial -- Artificial intelligence
Generative AI
Educação -- Education
AI in education
Systematic literature review
IA generativa
IA na educação
Revisão sistemática da literatura
topic Inteligência artificial -- Artificial intelligence
Generative AI
Educação -- Education
AI in education
Systematic literature review
IA generativa
IA na educação
Revisão sistemática da literatura
description The advancements in generative artificial intelligence (genAI) technologies, such as ChatGPT, DALL-E, Bing AI, and Copilot, have significantly disrupted various sectors, including education. These tools are capable of generating human-like content and present opportunities and challenges for education. This study conducted a systematic literature review (SLR) of 121 peer-reviewed articles published between 2018 and 2023, offering a comprehensive overview of the current research on genAI in education. It explores the applications and benefits, limitations, risks and concerns, the educational levels addressed, future recommendations, and the genAI tools mentioned in the literature. The findings reveal that genAI has the potential to transform education by offering personalised learning experiences, real-time feedback, and support for educators in lesson planning and content generation. On the other hand, significant concerns have emerged, including the risk of academic dishonesty, over-reliance on AI tools, and a potential decline in students' critical thinking and problemsolving skills. Additionally, issues related to misinformation, biased content, and ethical considerations emphasise the need for a cautious and well-regulated integration of genAI in educational settings. Recommendations are provided for institutions to integrate these tools while mitigating associated risks effectively. This includes incorporating AI into the curriculum, updating assessment methods to prevent academic misconduct, and encouraging a balanced use of technology that complements traditional teaching practices. This research offers a valuable perspective on the evolving role of genAI in education, providing insights for educators, institutions, and researchers.
publishDate 2024
dc.date.none.fl_str_mv 2024-11-18T00:00:00Z
2024-11-18
2024-09
2025-03-19T12:40:58Z
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/10071/33817
TID:203782925
url http://hdl.handle.net/10071/33817
identifier_str_mv TID:203782925
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833602109330685952