Junichi Koizumi
Computer science
Hometown: Phoenix, Arizona, United States
Graduation date: Fall 2024
Additional details: Transfer student
GCSP research stipend | Summer 2024, Needs Review
Privacy-Preserving Machine Learning for Student Engagement within edTech Platforms
This study investigates privacy-preserving machine learning techniques for predicting student performances in education platforms. The research explores how to analyze user interaction patterns while mitigating exposure of sensitive demographic information such as age, gender, and mental state. Utilizing quantitative methods, including data collection, preprocessing, and machine learning modeling with privacy-preserving techniques, the study aims to balance predictive accuracy with data protection. Findings will contribute to developing best practices for safeguarding user data in educational technology platforms. Future work should focus on implementing and testing these models in real-world educational settings.
Mentor: Rakibul Hasan
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