Examining university students addiction toward generative AI: an I-PACE perspective

Key Points

• The research aims to investigate the level of addiction university students have toward generative AI using the I-PACE model.
• Utilized the I-PACE model to evaluate addiction levels.
• Focused on a sample of university students.
• Employed surveys and assessments to measure addiction and engagement.
• Found that a significant proportion of students exhibit high levels of addiction to generative AI technologies.
• Highlighted correlations between generative AI use and academic performance indicators.
• Indicated that increased generative AI engagement may lead to adverse psychological effects.