Application of Artificial Intelligence Techniques on Lesson Delivery in Senior High Schools in Ghana: Enhancing Student Engagement, Personalised Learning, Performance Assessment and Holistic Development

The integration of Artificial Intelligence in education has significantly transformed lesson delivery by fostering increased student engagement, customised learning experiences, and improved performance assessments. This research aims to evaluate the effectiveness of AI-driven teaching methods in enhancing student learning experiences, addressing engagement disparities, facilitating adaptive instruction, and refining performance evaluation. A quasi-experimental research design that incorporated a correlational methodology was employed. A sample size of 1,200 students and teachers was used. These participants were chosen through a stratified random sampling technique, ensuring a representative cross-section of the population to enrich the findings. Data collection methods included structured surveys, standardized academic assessments, and classroom observations. Descriptive and inferential statistical analyses were performed using SPSS, employing t-tests, ANOVA, regression analysis, and Pearson correlation to explore the relationships between AI integration and student outcomes. The findings revealed that the incorporation of AI significantly boosts student engagement, personalised learning, performance assessment, and holistic development. These results align with existing literature on AI-enhanced education while emphasising the necessity for context-specific implementation strategies in Ghana. Furthermore, the study emphasises the importance of policy-driven AI adoption, teacher training initiatives, and infrastructure improvements to fully harness AI's potential in Senior High Schools in Ghana.