Barbara Martinez Neda

According to our database, Barbara Martinez Neda authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach.

Amisha Priyadarshini, Barbara Martinez Neda, Sergio Gago Masagué

CoRR, 2024

Measuring CS Student Attitudes Toward Large Language Models.

Jason Lee Weber, Barbara Martinez Neda, Kitana Carbajal Juarez, Jennifer Wong-Ma, Sergio Gago Masagué, Hadar Ziv

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Impacts of Academic Preparedness on CS1 Performance.

Barbara Martinez Neda, Flor Morales, Kitana Carbajal Juarez, Jennifer Wong-Ma, Sergio Gago Masagué

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Beyond the Hype: Perceptions and Realities of Using Large Language Models in Computer Science Education at an R1 University.

Jason Lee Weber, Barbara Martinez Neda, Kitana Carbajal Juarez, Jennifer Wong-Ma, Sergio Gago Masagué, Hadar Ziv

Proceedings of the IEEE Global Engineering Education Conference, 2024

Investigating the Role of Socioeconomic Factors on CS1 Performance.

Barbara Martinez Neda, Flor Morales, Kitana Carbajal Juarez, Jennifer Wong-Ma, Sergio Gago Masagué

Proceedings of the IEEE Global Engineering Education Conference, 2024

2023

A Smart Patient Initiated Controlled Analgesic Recording Dispenser (PICARD) for Prescription Abuse Prevention.

Manuel E. Segura, Tianyi Hu, Barbara Martinez Neda, Linyi Xia, Randy Wei, Padma Gulur, Solomon Liao, G. P. Li, Sergio Gago Masagué

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

2022

Testing Machine Learning Models to Identify Computer Science Students at High-risk of Probation.

Hamza Errahmouni Barkam, Max Wang, Barbara Martinez Neda, Sergio Gago Masagué

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

2021

Using Machine Learning in Admissions: Reducing Human and Algorithmic Bias in the Selection Process.

Barbara Martinez Neda, Yue Zeng, Sergio Gago Masagué

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021