Publications

  1. Investigating the Role of Socioeconomic Factors on CS1 Performance. B Martinez Neda, F Morales, K Carbajal Juarez, J Wong-Ma, S Gago-Masague. 2024 IEEE Global Engineering Education (EDUCON)
  2. Beyond the Hype: Perceptions and Realities of Using Large Language Models in Computer Science Education at an R1 University. JL Weber, B Martinez Neda, K Carbajal Juarez, J Wong-Ma, S Gago-Masague, H Ziv. 2024 IEEE Global Engineering Education (EDUCON)
  3. Enhancing Learning in CS Capstone courses through Advanced Project Matching. B Martinez Neda, JL Weber, S Gago-Masague, J Wong-Ma. 2024 Journal of Computing Sciences in Colleges. 
  4. WIP: Maximizing Individual Learning Goals Through Customized Student-Project Matching (SPM) in CS Capstone Projects. B Martinez Neda, JL Weber, S Gago-Masague, J Wong-Ma. Accepted at FIE 2024.
  5. Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach. A Priyadarshini, B Martinez Neda, S Gago-Masague. 2023 International Conference on Transdisciplinary AI (TransAI), 135-140
  6. Staying Ahead of the Curve: Early Prediction of Academic Probation among First-Year CS Students. B Martinez Neda, M Wang, A Singh, S Gago-Masague, J Wong-Ma. 2023 International Conference on Applied Artificial Intelligence (ICAPAI), 1-7
  7. Revisiting Academic Probation in CS: At-Risk Indicators and Impact on Student Success. B Martinez Neda, M Wang, HE Barkam, J Wong-Ma, S Gago-Masague. 2023 Journal of Computing Sciences in Colleges, 8-16
  8. Machine Learning with Keyword Analysis for Supporting Holistic Undergraduate Admissions in Computer Science. B Martinez Neda. University of California, Irvine
  9. Feasibility of Machine Learning Support for Holistic Review of Undergraduate Applications. B Martinez Neda, S Gago-Masague. 2022 International Conference on Applied Artificial Intelligence (ICAPAI), 1-6

Short Papers/Posters

  1. Impacts of Academic Preparedness on CS1 Performance. B Martinez Neda, F Morales, K Carbajal Juarez, J Wong-Ma, S Gago-Masague. Proceedings of the 55th ACM Technical Symposium on Computer Science Education
  2. Measuring CS Student Attitudes Toward Large Language Models. JL Weber, B Martinez Neda, K Carbajal Juarez, J Wong-Ma, S Gago-Masague, H Ziv. Proceedings of the 55th ACM Technical Symposium on Computer Science Education
  3. Testing Machine Learning Models to Identify Computer Science Students at High-risk of Probation. H Errahmouni Barkam, M Wang, B Martinez Neda, S Gago-Masague. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education, 1161
  4. Using machine learning in admissions: Reducing human and algorithmic bias in the selection process. B Martinez Neda, Y Zeng, S Gago-Masague. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 1323
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