ARTIFICIAL INTELLIGENCE IN EDUCATION: PERSONALIZED LEARNING SYSTEMS
Keywords:
Artificial Intelligence, Personalized Learning, Educational Technology, AI in Education, Learning Systems, Machine Learning, Adaptive Learning, EdTech, Student Engagement, Data PrivacyAbstract
The integration of Artificial Intelligence (AI) in education is revolutionizing the way students learn and interact with educational content. Personalized learning systems, powered by AI, are offering tailored educational experiences that adapt to the needs, preferences, and learning paces of individual students. These AI-driven systems have the potential to enhance the effectiveness of education by providing real-time feedback, identifying knowledge gaps, and promoting student engagement. This paper explores the development and application of AI technologies in personalized learning systems, focusing on their role in improving learning outcomes, teacher-student interactions, and overall educational equity. We also examine the challenges and ethical considerations surrounding the use of AI in education, such as privacy concerns, bias, and the potential for algorithmic decision-making. Finally, we provide insights into the future of AI-powered education and its potential impact on global educational systems.
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