The Influence of Artificial Intelligence Utilization in Learning on Education Students’ Learning Independence

Abstract

This study investigates the influence of Artificial Intelligence (AI) utilization in learning on the learning independence of education students in higher education. The increasing integration of AI technologies in educational environments has created opportunities to support self-directed and self-regulated learning, although concerns regarding student dependency on AI remain significant. This study employed a quantitative approach using a survey method involving 120 education students selected through purposive sampling. Data were collected through Likert-scale questionnaires measuring AI utilization and learning independence. The collected data were analyzed using descriptive statistics, validity and reliability tests, and simple linear regression analysis. The findings revealed that AI utilization has a significant positive effect on students’ learning independence, with a regression coefficient value of β = 0.671 and a significance level of 0.000. The results also showed that AI contributes 45% to the variance in learning independence. AI-supported learning environments help students improve self-regulation, learning initiative, metacognitive strategies, and independent problem-solving skills. However, excessive reliance on AI may reduce critical thinking and learner autonomy if not accompanied by proper guidance. Therefore, AI should be integrated as a learning support tool that encourages active, reflective, and autonomous learning in higher education