Innovating the education: Integration of artificial intelligence in Learning Management Systems
Abstract
The study was conducted to explore the combination of artificial intelligence (AI) and adaptive learning, which personalizes education by adjusting content and activities based on students' performance and needs in Learning Management Systems (LMS). It was carried out at the Universidad Autónoma de Querétaro, in the Faculty of Informatics, and identified how these technologies can personalize and enhance the learning experience. The study posed the following key questions: How can artificial intelligence personalize learning to meet each student's needs? And how does artificial intelligence affect students' performance and motivation? The study used a mixed-methods approach, combining quantitative analysis of student performance data with qualitative interviews to explore students' perceptions. The results showed significant improvements in personalized learning and student performance. According to the students, artificial intelligence contributed to making learning more adaptive and motivating. The integration of AI into an LMS can not only drastically transform education but also raises ethical challenges that must be addressed to ensure equitable benefits for all students.
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