IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE APPS TO IMPROVE RECOGNITION ABILITY IN BOYS WITH MILD INTELLECTUAL DISABILITY ENROLLED IN SPECIAL EDUCATION SCHOOL

Abstract

This paper aimed to apply artificial intelligence based mobile apps to enhance recognition abilities in boys with intellectual disabilities. Artificial intelligence has the potential to address these issues. There are limited studies on improving the recognition ability of children with intellectual disability. This paper examined the implementation of artificial intelligence (AI) apps as a pedagogical intervention to improve recognition ability in boys with mild intellectual disabilities (IDs) enrolled in special education school. An experimental design was used consisting of single-subject repetitive measures in three levels, pre-test, during-test and post-test.  The sample was 07 boys aged 8 to 14 years with mild IDs to enhance recognition ability by using an AI-based interventions. The intervention was 12 weeks and had 25 organized sessions with a duration of 10 minutes each having a 5-minute rest. The learning applications with AI included in the learning procedure were one-to-one sessions via learning applications, which were supported by lesson plans (Khan Academy Kids and CogniFit). A checklist consisting of a 5-point Likert scale was used to evaluate the students' performance. Friedman and Wilcoxon signed-rank tests were conducted on the quantitative data to determine the differences in performance at the three stages. The findings have reported that recognition performance is significantly improved. The results contribute to the presumption of the adaptive AI technologies in special education to empower cognitive development and foster fair learning opportunities