The Effectiveness of Adaptive Learning Methods in Mathematics Compared to Flipped Learning analyzed by ANN and IoT

Individual differences must be considered for a good learning environment, and students with autism are known to differ from normal students and among themselves in that they do not benefit from traditional teaching methods. Therefore, to teach these students, it is necessary to use special and diverse teaching strategies and methods that suit their abilities and needs. In this study, a self-adaptive model for teaching mathematics and English language was created so that the student can receive information on several adaptive ways according to the diversity of their abilities. 100 students with autism were selected and divided into two groups, the control group taught in flipped learning and the experimental group which was divided into two groups, group (1) and group (2). And both of them taught in an inverted adaptive learning environment. For 28 weeks the students worked in this environment. This paper focus on learning concepts. Also, in this paper the unique data has been used and analyzed by ANN.