THEORETICAL RESEARCH ON AI TECHNOLOGIES FOR LEARNING SYSEM

Abstract

The traditional learning systems have many challenges of manage the learning aspects (students, teachers, and materials) efficiently due to dynamic changes of learning environments. The researchers adapt various AI approaches such as NN, FL, and SVM approaches to control the learning environment dynamicity and manage the learning aspects efficiently in order to maximize the learning outcomes performances. This paper will review many AI researches to maximize the learning outcomes in three main areas; sign languages detecting and translating, learning disability, and computer aided learning. The main aim of this paper is to review how the AI approaches can be adapted to avoid different challenges in learning areas. The comparisons between the reviewed researches will explain the advantages and disadvantages of AI approaches.