By By: Nnajiofor Henry Uzochukwu
Dr. Chukwudi Christian Amadi
Abstract
This study investigates the effectiveness of artificial intelligence (AI) in teaching and learning, focusing on teacher perception, student engagement, and learning outcomes. A mixed-methods approach was employed, combining survey research, experimental design, and thematic analysis. Results show that AI in education is associated with higher teacher satisfaction, increased student engagement, and improved learning outcomes. Regression analysis reveals that teacher perception of AI is a significant predictor of student engagement, which in turn predicts learning outcomes. Thematic analysis highlights the benefits of AI in education, including enhanced student engagement, personalized learning, and efficient grading. The experimental results demonstrate the positive impact of AI-enhanced instruction on student engagement and learning outcomes. This study provides insights into the potential of AI to enhance teaching and learning, informing evidence-based practices and policy decisions. Based on findings on this study, the study recommends that Educators and administrators should consider integrating AI-powered tools and platforms into their teaching and learning practices.
