An Assessment of the Impact of AI-Based Interventions on Student Engagement and Motivation in Both Online and Traditional Classroom Settings: A Case of Nsamizi Training Institute for Social Development, Mpigi District, Uganda

Abstract

This investigation delineates the influence of Artificial Intelligence-driven instrumentation on student engagement and motivation in both online and traditional classrooms at Nsamizi Training Institute for Social Development. Using a mixed-methods approach that incorporates student surveys, learning analytics, focus groups, and interviews, the research notably suggests that such instrumentation may exert a substantial influence upon the augmentation of engagement and motivation through the provision of personalized learning experiences, real-time evaluative feedback, and interactive simulations. A primary emphasis of the findings posits the critical importance of judicious implementation, comprehensive educator training, and sustained ancillary support for the maximal realization of Artificial Intelligence’s inherent advantages. The collected data concurrently indicate that AI demonstrably enhances learning outcomes, elevates student satisfaction, and facilitates the establishment of inclusive, efficacious learning environments. Consequently, the recommendations prioritize the advancement of personalized learning modalities, instantaneous feedback mechanisms, immersive interactive simulations, and robust educator preparation, all of which are instrumental in ensuring the efficacious integration of AI within pedagogical frameworks.