GASPRO International Journal of Eminent Scholars

ABSTRACT

The integration of Artificial Intelligence (AI) into education has revolutionized teaching and learning methodologies, offering new opportunities for personalized learning and improved academic performance. This study examines the adoption of AI-driven teaching and learning strategies to enhance the academic performance of students offering Economics. Using a case study approach, the research explores how AI-powered tools—such as adaptive learning platforms, intelligent tutoring systems, and data-driven assessment techniques—impact student engagement, comprehension, and retention of Economics concepts. The study employs a mixed-methods research design, incorporating both quantitative surveys and qualitative interviews with teachers and students across selected secondary schools in Imo State. Findings indicate that AI-enhanced teaching methods lead to greater student participation, improved problem-solving skills, and higher academic achievement compared to traditional instructional approaches. However, challenges such as limited digital infrastructure, teacher training gaps, and resistance to technology adoption were identified as barriers to AI implementation. The study concludes that Bridging the digital divide will ensure that students in both urban and rural areas benefit from AI-driven education. Teachers must also be equipped with the necessary digital skills to integrate AI effectively in classrooms. The study also recommended that Special attention should be given to rural and underserved schools in Imo State to ensure they have the necessary technological infrastructure, preventing disparities in learning outcomes.

KEYWORDS: Artificial Intelligence, Effective Teaching, Learning Strategies, Academic Performance, Economics, Students.