Abstract
The study examines the role of AI in peer-to-peer learning, focusing on its impact on student engagement, academic performance, and pass rates. Through a mixed-methods approach, the research provided insights into how AI influences student perceptions and engagement. The findings indicate a modest improvement in grades (3-5%), lacking statistical significance (p > 0.05). This statistic raises questions about the relationship between increased engagement and tangible academic outcomes. The study addresses the complexities of implementing AI in educational contexts, including socioeconomic disparities, resource inequities and algorithmic biases. It emphasises the importance of personalised AI feedback in enhancing learning outcomes. The results suggest that while AI platforms can complement traditional peer support services, further research is necessary to understand their long-term effects on academic performance and retention. The study offers a basis for future investigations, exploring the balance between student engagement and measurable academic gains.
Presenters
Mark Wilson TrollipLecturer, Faculty of Business Management and Sciences, Cape Peninsula University of Technology, South Africa
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Academic Achievement, Artificial Intelligence, Engagement, Personalization, Individualised Learning
