This study explores the factors influencing the adoption and utilization of ChatGPT among Norwegian university students, using the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. The research analyzed responses from 104 students, focusing on six constructs: Performance Expectancy, Habit, Effort Expectancy, Social Influence, Facilitating Conditions, and Hedonic Motivation. The findings indicate that Performance Expectancy has the strongest impact on Behavioral Intention, followed by Habit. Other constructs, such as Effort Expectancy, Social Influence, and Hedonic Motivation, do not significantly influence Behavioral Intention. Additionally, Facilitating Conditions and Habit do not significantly predict User Behavior. The study contributes to the understanding of how generative AI technologies like ChatGPT can be effectively integrated into educational contexts, highlighting the importance of Performance Expectancy and Habit in shaping student engagement and usage patterns.This study explores the factors influencing the adoption and utilization of ChatGPT among Norwegian university students, using the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. The research analyzed responses from 104 students, focusing on six constructs: Performance Expectancy, Habit, Effort Expectancy, Social Influence, Facilitating Conditions, and Hedonic Motivation. The findings indicate that Performance Expectancy has the strongest impact on Behavioral Intention, followed by Habit. Other constructs, such as Effort Expectancy, Social Influence, and Hedonic Motivation, do not significantly influence Behavioral Intention. Additionally, Facilitating Conditions and Habit do not significantly predict User Behavior. The study contributes to the understanding of how generative AI technologies like ChatGPT can be effectively integrated into educational contexts, highlighting the importance of Performance Expectancy and Habit in shaping student engagement and usage patterns.