INTEGRATING ARTIFICIAL INTELLIGENCE TOOLS INTO MODERN TEACHING METHODOLOGIES: IMPACTS ON STUDENT ENGAGEMENT AND LEARNING OUTCOMES

Abstract

This study explores the integration of artificial intelligence (AI) tools into contemporary teaching practices and their influence on student commitment and educational performance in secondary and higher education settings in Balochistan, Pakistan. Using a mixed-methods research design, data were collected from 200 contributors through planned questionnaires, semi-structured interviews, and classroom observations. Quantitative analysis using SPSS and thematic analysis for qualitative data discovered that AI-enhanced teaching approaches, mainly when combined with student-centered methodologies such as inquiry-based and flipped classroom mockups, significantly enhanced both commitment and academic consequences. The findings of the research support the role of AI as a complementary tool that increases traditional pedagogies rather than exchanging educators. Recommendations comprise the requirement for teacher training, infrastructure improvement, and additional longitudinal research studies on AI’s scholastic impact.