AI in Education: Personalizing Learning with Intelligent Systems
Keywords:
Artificial Intelligence in Education, Personalized Learning, Intelligent Tutoring Systems, Adaptive Learning, Machine Learning in Education, AI-Powered Assessment, Virtual Assistants in Learning, Digital Learning Transformation, Ethical AI in Education, AI-Powered Student Support.Abstract
Artificial Intelligence (AI) is revolutionizing the education sector by offering personalized learning experiences tailored to individual student needs. Traditional one-size-fits-all teaching methods often fail to address the diverse learning styles, paces, and preferences of students. AI-driven intelligent tutoring systems, adaptive learning platforms, and natural language processing-based assessment tools provide real-time feedback and customized learning paths, enhancing student engagement and academic performance (Luckin et al., 2016). Machine learning algorithms analyze student data to identify knowledge gaps, predict learning outcomes, and offer personalized recommendations, fostering self-paced and competency-based learning (Chen et al., 2020). Additionally, AI-powered chatbots and virtual assistants support students by answering queries, providing study materials, and facilitating peer interactions (Woolf, 2010).
