The dual role of AI in personalized learning: Enhancements and hindrances for diverse learners

This study examines the dual role of Artificial Intelligence (AI) in personalized learning, exploring how AI can both advance and hinder individualized educational experiences for diverse learners. AI technologies—such as adaptive learning platforms, intelligent tutoring systems, and data analytics tools—offer tailored pathways that can increase engagement, accommodate learning differences, and improve academic outcomes. However, challenges also emerge, including algorithmic bias, over-reliance on technology, and potential compromises in data privacy and human interaction. Findings indicate that while AI can enhance personalized learning, it requires careful integration to avoid exacerbating disparities and to support critical thinking and social skills. The role of educators remains essential, with recommendations for professional development to equip teachers with the skills to leverage AI effectively and ethically. This study highlights the importance of a balanced approach in AI integration, combining technological tools with human-centered teaching practices to create inclusive, equitable, and effective learning environments.