Effectiveness of Artificial Intelligence-Enabled Teaching Learning Process on Academic Achievement of the Students

This paper will discuss how effective the teaching-learning processes based on artificial intelligence are on the academic performance of the students, and this research will centre on the interaction with the AI tools and the contribution of personalised learning through AI. The quantitative type of research was adopted based on a structured survey of 130 students chosen randomly. The researchers evaluated three hypotheses using regression and correlation analysis to capture the effects and connections of the main variables. The findings demonstrate that AI- based teaching-learning activities have significant and positive influences on academic performance and that the model can account for 71.2% percent of the variation, which means that AI-powered teaching and learning practices have a significant positive impact on the academic performance of students. The connection between the use of AI tools and the academic performance of students (r=.402, p=.001) was moderate but significant, proving that the frequent use of AI platforms can be associated with the improvement of learning outcomes. Further, AI- based personalized learning demonstrated a significant but small impact on academic results at various levels of performance (R² =.198), indicating that personalisation helped to achieve better results but works best with the traditional pedagogical methods. Altogether, the research finds that AI is one of the most effective educational resources that enhances student engagement, facilitate personalized learning, and increases academic performance. The results highlight the need to incorporate AI in a responsible and strategic way to ensure it reaps the maximum benefits in education.