Barbara Martinez Neda

Orcid: 0000-0002-9362-3260

According to our database1, Barbara Martinez Neda authored at least 12 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Investigating Autograder Usage in the Post- Pandemic and LLM Era.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

2024
Enhancing Learning in CS Capstone Courses through Advanced Project Matching.
J. Comput. Sci. Coll., 2024

Measuring CS Student Attitudes Toward Large Language Models.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Impacts of Academic Preparedness on CS1 Performance.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Maximizing Individual Learning Goals Through Customized Student-Project Matching (SPM) in CS Capstone Projects.
Proceedings of the IEEE Frontiers in Education Conference, 2024

Beyond the Hype: Perceptions and Realities of Using Large Language Models in Computer Science Education at an R1 University.
Proceedings of the IEEE Global Engineering Education Conference, 2024

Investigating the Role of Socioeconomic Factors on CS1 Performance.
Proceedings of the IEEE Global Engineering Education Conference, 2024

2023
Revisiting Academic Probation in CS: At-Risk Indicators and Impact on Student Success.
J. Comput. Sci. Coll., 2023

A Smart Patient Initiated Controlled Analgesic Recording Dispenser (PICARD) for Prescription Abuse Prevention.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach.
Proceedings of the 2023 Fifth International Conference on Transdisciplinary AI (TransAI), 2023

2022
Testing Machine Learning Models to Identify Computer Science Students at High-risk of Probation.
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.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021


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