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Artificial Intelligence (AI) revolutionizes the field of education by providing a personalized, adaptive and online learning environment. Domains of AI such as Natural Language Processing (NLP), Machine Learning (ML) and Deep Learning (DL) were used in Educational data mining approach. The learning nature of Special Children’s is heterogeneous in nature as they are in need of different types of educational need. Traditional way of teaching is not possible for these children. Tutoring Systems with intelligent incorporated with the help of AI, ML, DL can motivating and reinforce children towards teaching and learning environment. In this paper the application of Convolution Neural Network algorithm, SVM algorithm and decision tree algorithm in recognizing the MNIST Sign Language was compared. Results show that a maximum of 86% accuracy is achieved using Convolution Neural Network algorithm, and among the machine learning algorithm an accuracy of 84% is achieved by using the Support Vector Classification algorithm.