Behaviour Inference in Rural Education using Generative AI

Generative Al has emerged as a powerful tool for understanding and predicting human behaviour in a wide range of applications. This paper explores the application of generative Al to analyse and infer the behavioural patterns of rural students. The unique challenges and opportunities presented by rural education settings necessitate a tailored approach to behavioural analysis. By harnessing the capabilities of generative Al, we aim to provide valuable insights that can inform educational policies and interventions to enhance the learning experiences and outcomes of rural students. This research leverages data from various sources, including educational records, surveys, and other relevant datasets, to build predictive models and uncover behavioural trends. The findings from this study have the potential to contribute to the design of more effective educational strategies, resource allocation, and support systems for rural students.