Cognitive Systems for Optimized Educational Content Delivery in Remote Learning

Abstract

Educational content delivery underwent a dramatic change through remote learning systems because adaptive learning models collaborate with artificial intelligence (AI) in cognitive systems. Personalized educational content finds its optimal state when Deep Learning uses Natural Language Processing to tailor learning materials to student cognitive abilities and attention levels and real-time learning progression. The educational platform has IBM Watson as its cognitive computing tool that analyzes student relationships to choose personalized learning resources according to individual student requirements. Enhanced efficiency emerges through the remote learning framework because it produces flexible educational content andIncreases student participation which leads to better academic results. Research proves that cognitive systems achieve better outcomes to improve distance education at the student level along with larger student populations.