Leveraging Data Science and AI for Tailored Teaching and Learning through Student Profiling

Starting: 01/03/2025
PhD Student: Sonita Te
Advisor(s): Sebastien GEORGE
Co-advisor(s): Madeth May
Funding: bourse Cambodgienne

This project explores the use of augmented analytics to enhance student profiling for personalized education. By leveraging AI, machine learning, and data science, we aims to analyze diverse student data to provide actionable insights that support tailored teaching and learning experiences. Augmented analytics automates the process of data analysis, making it easier for educators to identify student needs, predict academic outcomes, and personalize learning strategies. Ultimately, the project seeks to improve student engagement and success by applying cutting-edge technology to create adaptive, data-driven educational environments.