Laura M. Cruz Castro

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 6

Top Topics

Computational Thinking

Experimental Group

Reflective Learning

Top Venues

Publications

Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew Lan, Christopher G. Brinton
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CIKM (2022)
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew Lan, Christopher G. Brinton
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. CoRR (2022)
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CoRR (2022)
Yun-Wei Chu, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. IEEE BigData (2021)
Laura M. Cruz Castro, Alejandra J. Magana, Kerrie A. Douglas, Mireille Boutin
Analyzing Students' Computational Thinking Practices in a First-Year Engineering Course. IEEE Access 9 (2021)
Heidi A. Diefes-Dux, Laura M. Cruz Castro
Student Reflection to Improve Access to Standards-Based Grading Feedback. FIE (2018)