AI Driven Personalized Learning for Students with Learning Disabilities
Keywords:
Artificial Intelligence (AI), Assistive technology, Personalized learning, Learning stylesAbstract
This academic article aims to examine and propose approaches to educational management for learners with special needs, focusing on addressing individual differences through the integration of artificial intelligence (AI) in personalized learning design (AI-driven personalized learning). The study presents four effective instructional strategies: (1) multisensory learning, (2) differentiated instruction, (3) the use of assistive technology, and (4) real-time feedback-based learning. These approaches are integrated with Generative AI as a digital innovation to support learning design based on the principles of Universal Design for Learning (UDL). artificial intelligence plays a significant role in enhancing the development of learning materials, including infographics, videos, audio narration, and virtual technologies such as VR and AR, to accommodate diverse learning styles among students. These include visual learners, auditory learners, and kinesthetic learners. The integration of technology and AI in instructional design for students with learning disabilities contributes to the creation of flexible and responsive learning environments tailored to individual needs. Furthermore, this approach helps reduce educational inequality and promotes equitable and sustainable learning opportunities.
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