2 papers
cs.CY2025
When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts
Chengyuan Yao, Yunxuan Tang, Christopher Brooks +2
Predictive models are typically trained on historical data to predict future outcomes. While it is commonly assumed that training on more historical data would improve model perfor…
cs.CY2025
Towards Fair and Privacy-Aware Transfer Learning for Educational Predictive Modeling: A Case Study on Retention Prediction in Community Colleges
Chengyuan Yao, Carmen Cortez, Renzhe Yu
Predictive analytics is widely used in learning analytics, but many resource-constrained institutions lack the capacity to develop their own models or rely on proprietary ones trai…