Implementation of Artificial Intelligence in Personalized Learning Systems
DOI:
https://doi.org/10.70074/jveti.v1i2.59Keywords:
artificial intelligence, personalized learning, adaptive systems, educational effectiveness, learning technologyAbstract
Artificial Intelligence (AI) technology is increasingly being implemented in personalized learning systems to enhance educational effectiveness. This study aims to analyze the impact of AI-based adaptive learning systems tailored to individual needs. The research method employed is a quantitative approach with a quasi-experimental design. The sample consists of 200 university students from various disciplines, divided into two groups: an experimental group using AI-based learning systems and a control group using conventional learning methods. Data were collected through cognitive tests before and after intervention, as well as a learning satisfaction survey. The results indicate that students using AI-based learning systems experienced a 25% increase in cognitive test scores compared to the control group. Additionally, learning satisfaction levels significantly improved, with an average score of 4.5 out of 5 on the Likert scale. The discussion highlights that AI systems can tailor curricula based on individual comprehension levels, provide appropriate material recommendations, and enhance engagement through interactive methods. In conclusion, implementing artificial intelligence in personalized learning systems can improve learning effectiveness and provide a more customized learning experience. This study recommends further development of AI systems for broader application across various educational institutions.
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