earticle

영어

This study aims to investigate generative AI (GAI) services, which are leading innovations in various domains and significantly affecting education with a range of positive and negative effects. Specifically, this study seeks to empirically examine the academic performance of graduate students who regularly use generative AI services such as ChatGPT (Generative Pre-trained Transformer). To establish the research framework and hypotheses, this study incorporates concepts from social cognitive theory and the concept of dependency. Also, this study introduces graduate students' personal and socio-environmental factors alongside the dependency variables of habitual and addictive behavior of GAI and their impact on learning and task performance. This study uses a structural methodology in order to test the hypotheses and a mixed approach that includes Artificial Neural Networks (ANN) to predict the most critical variables. We plan to collect data from 500 graduate students who actively utilize generative AI services to achieve this. Based on the outcomes of this research, this study tries to offer academic and practical implications for educational institutions and administration.