Leveraging Artificial Intelligence to Design Adaptive Learning Systems for Enhanced Educational Outcomes in the 2024 Curriculum
Kata Kunci:
Artificial Intelligence, Adaptive Learning, Personalized Education, Educational Technology, Learning OutcomesAbstrak
This research explores the integration of artificial intelligence (AI) in designing adaptive learning systems within the context of the 2024 curriculum. As educational demands evolve, there is a pressing need for personalized learning solutions that cater to the diverse needs of students. Utilizing a mixed-methods approach, quantitative data were collected from student assessments and engagement metrics, while qualitative feedback was gathered from educators regarding the usability and impact of the AI system. The findings reveal a significant improvement in student test scores and engagement levels, demonstrating that AI can effectively tailor educational experiences to individual learning styles and paces. Educators reported enhanced insights into student performance, enabling more targeted instructional strategies. Additionally, the research addresses critical ethical considerations related to AI in education, such as data privacy and algorithmic bias, emphasizing the importance of ethical practices in technology deployment. This study contributes to the existing body of literature by providing empirical evidence of the benefits of AI in adaptive learning and offering recommendations for future implementation. It highlights the need for ongoing professional development for educators and underscores the importance of addressing ethical challenges to ensure equitable access to personalized learning. The findings suggest that AI-driven adaptive learning systems hold significant promise for improving educational outcomes and creating more inclusive learning environments.
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