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Learning Companion for Children Using AI

Amith T.V., Karthika K.P., Alen Cherian, Akhil Mathew George, Suvarna V.M.

Abstract


The rising use of Artificial Intelligence for education has brought about intelligent tutoring systems that are very personalized. The AI-equipped Learning Companion for Children is designed for children between 7 and 12 and will adapt educational content based on their emotional state and learning ability. The system works by analyzing engagement by using machine learning models and facial emotion recognition (FER), so it can observe when a child is disengaged and adjust the learning tasks to energize the child and reduce stress. The proposed system combines interactive activities, handwriting practice, storytelling, educational games, and real-life knowledge modules to form a single holistic learning environment. As soon as a child shows signs of boredom or sadness, the AI launches into suggesting activities that stimulate the child, like chatting with a bot or environmental classes. If the child shows zeal and willingness, the system can launch more challenging exercises to give the mind better springs of thought. The study offers a coherent solution to present-day AI and personalized learning aimed at combining areas of emotion recognition, adaptive learning techniques, and behavior analysis within a single method. The research intends to fill the chasm created between traditional educative shortcomings and the advances provided by artificial intelligence in an attempt to facilitate the socio-educational development of young learners. This experimental work confirms the depth of learning efficiency, engagement, and emotional balance obtained from this computer program, hence meaning it will be a strong addition to the modern digital classroom.


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References


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