The Influence of Artificial Intelligence Learning Systems on Student Learning Effectiveness
Keywords:
AI Education, AI Learning Systems, Learning Motivation, Learning Support, Learning EffectivenessAbstract
The rapid development of artificial intelligence has significantly influenced learning systems in higher education. Artificial intelligence learning systems provide various features that support the learning process, including personalized learning assistance, instant feedback, and easier access to information. However, the effectiveness of artificial intelligence in improving student learning outcomes still requires empirical investigation. This study aims to examine the influence of artificial intelligence learning systems on student learning effectiveness. Specifically, the study analyzes the effects of AI learning usability, AI learning support, and learning motivation on student learning effectiveness. This research employed a quantitative approach using a survey method. Data were collected from university students who utilize artificial intelligence tools in their learning activities. A structured questionnaire using a Likert scale was distributed to respondents to measure the research variables. The collected data were analyzed using multiple linear regression analysis to examine the relationships between variables. The results of the analysis indicate that AI learning usability, AI learning support, and learning motivation have significant positive effects on student learning effectiveness. These findings suggest that the effective implementation of artificial intelligence in learning environments can enhance students’ understanding, engagement, and overall learning outcomes. The study highlights the importance of integrating artificial intelligence learning systems as an innovative approach to improve educational effectiveness in higher education.
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Copyright (c) 2025 Tri Pujiati, Ipang Sasono, Shih-Chih Chen, Nuke Puji Lestari Santoso, Nova Syahrani Arasid
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