Effect of EduGPT Artificial Intelligence on Academic Performance of Educational Technology Students: A Quasi -Experimental Study

Abigail Aniefiok Effiong, Kirian James Jacob, Victoria Inebehe Udoh & Edidiong Friday Joe

Abstract

This quasi-experimental study examined the effect of EduGPT Artificial Intelligence on the academic performance of 78 third-year educational technology students in Educational Resource Centre (ERC) course at the University of Calabar, Cross River State, Nigeria. The study aimed to determine the impact of EduGPT AI on retention and academic performance. The Educational Resource Centre Performance Test (ERCPT) was used for data collection, with reliability coefficient of 0.79. Data were analyzed using mean, standard deviation, and ANCOVA at 0.05 significant level. The results showed that EduGPT AI significantly enhanced retention and academic performance of both male and female students. The study demonstrates the potentials of EduGPT AI to support students’ learning outcomes. The findings contribute to the existing body of knowledge on AI technology in education, providing insights into the effectiveness of EduGPT AI in improving academic performance in ERC courses. It is recommended that institutions should invest in infrastructure and resources to support the integration of EduGPT AI into teaching and learning process.

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