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ChatGPT as a tool for Personalized Learning: Examining the Impact of ChatGPT on Academic performance in Personalized Learning contexts
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Resumo(s)
This research explores the impact of Artificial Intelligence (AI) tools, particularly Generative AI
(GenAI) technology, on students' academic performance and their integration into
personalized learning processes. It responds to the current gap in studies assessing their
effectiveness in educational settings, specifically addressing the unexplored area of how
students interact with AI within personalized learning contexts. A new and innovative
theoretical model was developed, resulting from the combination of two models known for
explaining performance. This study used a mixed method approach to comprehensively
investigate this important topic. The quantitative data was analyzed using the structured
equation modeling (SEM), by using Partial Least Squares (PLS) technique. Our results
demonstrated the model's strong explanatory power on behavioral intention to use AI tools
and students' academic performance. Particularly, creativity and reactivity in the face of
emergencies or unexpected circumstances significantly influence students' academic
performance. Perceived enjoyment, perceived usefulness, and perceived ease of use were
found significant in predicting the behavioral intention to use AI tools, which in turn
significantly influenced students’ academic performance. Qualitative results from experts’
interviews revealed all perceived benefits of AI tools like ChatGPT in education,
recommending its integration into student learning processes, while also highlighting the
associated risks. Highlighting the originality of this research, the study addressed the
student’s and teacher’s perspectives towards AI in personalized learning environments and
also pioneers in giving a deeper understanding on how it affects academic performance. As
the field evolves, this research stands out by offering valuable insights for education
stakeholders.
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 Education ChatGPT Personalized Learning Academic Performance Higher Education SDG 4 - Quality education