This research focuses on determining Artificial Intelligence (AI) usage patterns while assessing its educational impact, comparing potential benefits and challenges, and investigating effective strategies for optimizing AI applications. The study involved survey questionnaires which were analysed through SPSS. The researchers used descriptive analysis along with Chi-Square tests and analysis of variance to evaluate the study hypothesis feasibility and identify data set patterns. The effectiveness of AI participants on student outcomes and learning efficiency shows moderate results but its application remains inconsistent. The main obstacles are insufficient technology availability along with the need for extensive parent training plus ethical, equitable and social justice concerns. AI demonstrates superior results in technical disciplines while achieving minimal impact in interpretative areas. The research proposes opportunities for students who have disabilities. The study's results emphasize the importance of collaborative work to increase AI's reach and performance.