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Autores
Orientador(es)
Resumo(s)
Artificial Intelligence (AI) has experienced fast development and widespread application,
which has revolutionized the education field dramatically. The present study discusses AI
tools' impact, in our case ChatGPT, on the academic performance of students in a learning
setting. Using a quantitative approach, we developed an innovative and integrated theoretical
model, integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with the
Resource-Based View (RBV), which was tested empirically with PLS-SEM and data from
Macedonian students. Our findings illustrate a direct link between students' behavioral
intention to utilize AI tools (influenced by performance expectancy, social influence, and
facilitating conditions) and their academic performance, further mediated by actual use of AI
tools and individualized learning experience. This research makes unique contributions by
providing one of the first empirical investigations connecting AI tools usage and academic
performance, with a new theoretical model that has not been empirically tested in the
literature previously. The study offers also significant theoretical contributions to technology
acceptance in education and provides action implications for students, educators, and
universities on how to effectively utilize AI tools to enhance learning outcomes and foster a
supportive educational environment.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence
Palavras-chave
Artificial Intelligence Education Academic Performance ChatGPT AI tools SDG 3 - Good health and well-being SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 10 - Reduced inequalities SDG 11 - Sustainable cities and communities SDG 12 - Responsible production and consumption SDG 17 - Partnerships for the goals
