Research Article Open Access

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

Abstract

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 AIdriven 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, standardised academic assessments and classroom observations. Descriptive and inferential statistical analyses were performed using SPSS, employing ttests, 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 AIenhanced 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.

Daniel Amoah-Oppong*1, Patrice John Coufie2, Richmond Antwi3, Emmanuel Ansah Laing4

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