The current problem is some schools' low level of digital literacy and technological readiness. The digital divide remains a barrier to the equitable use of AI, especially in schools and areas with limited internet access and devices. This study aims to analyze the effect of Artificial intelligence (AI)-based learning on learning effectiveness, learning independence, and student satisfaction. This study uses a quantitative survey approach and method. The population of this study was 566 grade 10 students. The sampling technique used was purposive sampling, resulting in a total sample of 85 students. The data collection method used a questionnaire. The data collection instrument used a questionnaire sheet. The data analysis technique used was inferential statistics. The analysis results prove that AI-based learning positively and significantly affects all three variables. AI affects 63.7% on learning effectiveness, 53.2% on learning independence, and 44.2% on student satisfaction. AI helps students understand material more quickly, learn independently, and provides a personal and enjoyable learning experience. This research implies that integrating AI's role is important in improving the quality of learning in the digital era.

Keywords: Artificial Intelligence; Learning Effectiveness; Learning Independence; Student
Satisfaction.