Personalized Learning Paths: AI Applications in Special Education

Abstract

AI in education offers many possibilities for personalized learning, especially in special education. The following paper discusses how personalized learning paths created through AI have the potential to transform education to meet the needs of all students including those with disabilities. AI has the potential to provide personalized learning experiences using adaptive learning technologies, where content, pacing and teaching methods are based on individual learning profiles making education even more inclusive as well as effective. Prominent use cases involve using AI for speech recognition in students with communication challenges, incorporating realtime feedback systems to address cognitive problems against their challenges, and predicting gaps in learning with predictive analytics methods. It also looks into ethical considerations, practical challenges and the importance of teacher training as they prepare to start including some aspects of AI in the special education landscape. Through an exploration of both success stories and ongoing research, this study highlights the potential for AI to develop equitable and tailored educational experiences that empower special needs students to realize their full developmental potential.