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Orientador(es)
Resumo(s)
This study challenges the assumption that students become less invested in tasks once they
achieve an average grade using AI tools like ChatGPT, this leads to growing concerns about
students overreliance on ChatGPT to complete their tasks leading to the decrease of their
critical thinking. This study, draws data from 249 participants gathered through an online
questionnaire and analyzes it using Partial Least Squares Structural Equation Modeling (PLSSEM), proving that while students are using ChatGPT for quick answers, they often do not
engage deeply to enhance their learning or to achieve their full potential, they tend to care
less and less about their tasks when they achieve an average grade by just using AI. This leads
to the fact that there is a growth of students opportunistic behavior in academic settings,
where students settle for average when they could excel. The study points out the need for
educational strategies that not only promote responsible use of AI tools but also encourage
deeper engagement with learning materials to prevent a decline in academic rigor, reduce
their lack of responsibility and promote academic success.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Artificial Intelligence ChatGPT Education Students Opportunism Students Performance AI Tools TTF SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure
