3 citations · 5 across the 4 of their papers we have counts for
4 papers
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach
Rajeev Sahay, Serena Nicoll, Minjun Zhang +4
We consider the problem of predicting link formation in Social Learning Networks (SLN), a type of social network that forms when people learn from one another through structured in…
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio +4
Conventional methods for student modeling, which involve predicting grades based on measured activities, struggle to provide accurate results for minority/underrepresented student…
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio +4
Traditional learning-based approaches to student modeling generalize poorly to underrepresented student groups due to biases in data availability. In this paper, we propose a metho…
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach
Yun-Wei Chu, Elizabeth Tenorio, Laura Cruz +3
We study the problem of predicting student knowledge acquisition in online courses from clickstream behavior. Motivated by the proliferation of eLearning lecture delivery, we speci…