Laura M. Cruz Castro

According to our database, Laura M. Cruz Castro authored at least 11 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics.

Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura Melissa Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton

IEEE Trans. Emerg. Top. Comput., 2025

2024

Performance of a Large-Language Model in scoring construction management capstone design projects.

Gabriel Castelblanco, Laura M. Cruz Castro, Zhenlin Yang

Comput. Appl. Eng. Educ., November, 2024

Understanding Optimal Interactions Between Students and A Chatbot During A Programming Task.

Jinnie Shin, Laura M. Cruz Castro, Zhenlin Yang, Gabriel Castelblanco, Ashish Aggarwal, Walter L. Leite, Bruce F. Carroll

Proceedings of the Winter Simulation Conference, 2024

WIP: Exploring the Interest in Microelectronics of Computer Science and Engineering Students through a Multidisciplinary Approach.

Andrea M. Goncher-Sevilla, Laura M. Cruz Castro, Findlay Watson, Gabriela E. Taboada

Proceedings of the IEEE Frontiers in Education Conference, 2024

WIP: Exploring the viability of a Bi-directional Skill-Based Mentoring Program on Communication Skills for Graduate Students in Education and Computer Science Students.

Laura Melissa Cruz Castro, Jenny Patricia Quintana-Cifuentes, Sandy Watson

Proceedings of the IEEE Frontiers in Education Conference, 2024

2022

Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning.

Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Analyzing Students' Computational Thinking Practices in a First-Year Engineering Course.

Laura M. Cruz Castro, Alejandra J. Magana, Kerrie A. Douglas, Mireille Boutin

IEEE Access, 2021

Relationship between learning engagement metrics and learning outcomes in online engineering course.

Tiantian Li, Laura Melissa Cruz Castro, Kerrie A. Douglas, Christopher G. Brinton

Proceedings of the IEEE Frontiers in Education Conference, 2021

A Metalearning Approach to Personalized Automatic Assessment of Rectilinear Sketches.

Laura Melissa Cruz Castro, Samantha Ray, Hillary E. Merzdorf, Kerrie A. Douglas, Tracy Hammond

Proceedings of the IEEE Frontiers in Education Conference, 2021

Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach.

Yun-Wei Chu, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2018

Student Reflection to Improve Access to Standards-Based Grading Feedback.

Heidi A. Diefes-Dux, Laura M. Cruz Castro

Proceedings of the IEEE Frontiers in Education Conference, 2018