Barbara Martinez Neda

14 papers A 1C 3Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Interpreting CS Student Challenges via Themes in College Admission Essays Using Topic Modeling.
J. Comput. Sci. Coll.
Barbara Martinez Neda, Joshua Kawaguchi, Kaifan Yu, Jared Apillanes, Jason Lee Weber, Jennifer Wong-Ma, Sergio Gago Masagué
2025 — conf
Investigating Autograder Usage in the Post- Pandemic and LLM Era.
SIGCSE (2)
Jason Lee Weber, Hyunjun Park, Daniel J. Song, Jared Apillanes, Barbara Martinez Neda, Jennifer Wong-Ma, Sergio Gago Masagué
2024 J jnl
Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach.
CoRR
Amisha Priyadarshini, Barbara Martinez Neda, Sergio Gago Masagué
2024 C conf
Beyond the Hype: Perceptions and Realities of Using Large Language Models in Computer Science Education at an R1 University.
EDUCON
Jason Lee Weber, Barbara Martinez Neda, Kitana Carbajal Juarez, Jennifer Wong-Ma, Sergio Gago Masagué, Hadar Ziv
2024 J jnl
Enhancing Learning in CS Capstone Courses through Advanced Project Matching.
J. Comput. Sci. Coll.
Barbara Martinez Neda, Jason Lee Weber, Sergio Gago Masagué, Jennifer Wong-Ma
2024 — conf
Impacts of Academic Preparedness on CS1 Performance.
SIGCSE (2)
Barbara Martinez Neda, Flor Morales, Kitana Carbajal Juarez, Jennifer Wong-Ma, Sergio Gago Masagué
2024 C conf
Investigating the Role of Socioeconomic Factors on CS1 Performance.
EDUCON
Barbara Martinez Neda, Flor Morales, Kitana Carbajal Juarez, Jennifer Wong-Ma, Sergio Gago Masagué
2024 C conf
Maximizing Individual Learning Goals Through Customized Student-Project Matching (SPM) in CS Capstone Projects.
FIE
Jason Lee Weber, Barbara Martinez Neda, Sergio Gago Masagué, Jennifer Wong-Ma
2024 — conf
Measuring CS Student Attitudes Toward Large Language Models.
SIGCSE (2)
Jason Lee Weber, Barbara Martinez Neda, Kitana Carbajal Juarez, Jennifer Wong-Ma, Sergio Gago Masagué, Hadar Ziv
2023 — conf
A Smart Patient Initiated Controlled Analgesic Recording Dispenser (PICARD) for Prescription Abuse Prevention.
WF-IoT
Manuel E. Segura, Tianyi Hu, Barbara Martinez Neda, Linyi Xia, Randy Wei, Padma Gulur, Solomon Liao, G. P. Li, Sergio Gago Masagué
2023 — conf
Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach.
TransAI
Amisha Priyadarshini, Barbara Martinez Neda, Sergio Gago Masagué
2023 J jnl
Revisiting Academic Probation in CS: At-Risk Indicators and Impact on Student Success.
J. Comput. Sci. Coll.
Barbara Martinez Neda, Max Wang, Hamza Errahmouni Barkam, Jennifer Wong-Ma, Sergio Gago Masagué
2022 — conf
Testing Machine Learning Models to Identify Computer Science Students at High-risk of Probation.
SIGCSE (2)
Hamza Errahmouni Barkam, Max Wang, Barbara Martinez Neda, Sergio Gago Masagué
2021 A conf
Using Machine Learning in Admissions: Reducing Human and Algorithmic Bias in the Selection Process.
SIGCSE
Barbara Martinez Neda, Yue Zeng, Sergio Gago Masagué