Understand the impact of Adaptive AI learning System on students with learning Disabilities

Abstract

This study examines the impact of Adaptive AI learning systems among learning-disabled students. In most cases, there are students who are having learning problems; hence, in a typical classroom, they cannot cope with the lessons offered in the classroom as the pace is too fast. They are excluded most of the time, lack motivation, and fear to pose questions. solution to this issue, special education and inclusive classrooms deployed adaptive AI learning systems. These software control lessons are according to the level of students and provide individual feedback. This study has been conducted on a sample of 180 students aged 10 to 16 years. They were set in two equal groups. Adaptive AI learning systems were applied to one group, and for the other group, the teaching method was pursued. The research design was quantitative and experimental. Academic performance scores, motivation and engagement tests, and independent learning skill checklists were used to collect data. The findings indicated that students using AI systems scored better in their schoolwork compared to the control group. The group of AI students became more motivated, interested, and active in the classroom as well. They were stronger and more self-reliant in studying. The students corrected their mistakes as quickly as possible and had fun due to real-time feedback and playful-interactive lessons. These results are consistent with the previous studies noting the advantages of AI tools in learning. In this work, it is proposed that schools are to implement adaptive AI systems as a way of enhancing learning achievement in students with disabilities. It is advised to conduct future research and evaluate such systems in other schools and on other kinds of learning difficulties.