Publications

  1. Pacing for Mastery: Optimizing LLM Interactions for Learning. K Tran, G Gao, A Lombard, T Yu, H Jiang, T Yeh. To appear in SIGCSE 2026.
  2. Visualization with Experiential Learning to Encourage Participation and Research in Computer Architecture. T Yeh, M Sterner, C Bell, A Cowe. WCAE ’23: Proceedings of the Workshop on Computer Architecture Education, pp. 9 – 16.
  3. Bridging novice programmers and LLMs with interactivity. T Yeh, K Tran, G Gao, T Yu, W On Fong, T Chen. SIGCSETS 2025: Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1 Pages 1295 – 1301.
  4. Adopting heterogeneous computing modules: Experiences from a ToUCH summer workshop. D Bunde, K Ahmed, S Ayloo, T Brown-Gaines, J Fuentes, V Jatala, R Kurniawati, I Öz, A Qasem, P Schielke, M Tedeschi, T Yeh. 2022 IEEE/ACM International Workshop on Education for High Performance Computing (EduHPC), pp. 18-25
  5. Fighting Fire with Fire: LLM-Assisted Grading of Handwritten CS Assessments. J Apillanes, J Weber, S Gago-Masague, J Wong-Ma, T Yeh. To appear in SIGCSE 2026.
  6. Where are the Disabled Students?: A Systematic Literature Review of Disability Inclusion in Computing Education Research. I Figueira, J Cisneros, J Weber, W Sanka, K Phan, J Wong-Ma, S Branham. To appear in SIGCSE 2026.
  7. Interpreting CS Student Challenges via Themes in College Admission Essays Using Topic Modeling. B Martinez Neda, J Kawaguchi, K Yu, J Apillanes, J Weber, J Wong-Ma, S Gago-Masague. 2025 Thirty-Second Annual CCSC Midwest Conference.
  8. Using Admission Records and Student Survey Responses for Early Prediction of CS1 Performance. B Martinez Neda, A Singh, M Wang, Z Zhang, J Weber, S Gago-Masague, J Wong-Ma, ICETC 2025.
  9. Lightweight LLM for Accurate & Accessible Automated Course Support in Student Forums. J Weber, U Maldonado, A Diaz Cama, Justin Tian Jin Chen, A Herlindo Angulo, B Martinez Neda, J Wong-Ma and S Gago-Masague. 2025 IEEE Frontiers in Education Conference (FIE)
  10. Evaluation and Learning Enhancement Via Automated Topic Extraction (ELEVATE). A Phatak, S Bajaj, R Gandhasri, P Kadandale, J Wong-Ma, H Ziv. In Companion Proceedings 13th International Conference on Learning Analytics & Knowledge (LAK 2025), pp. 61-64. 2025.
  11. Fair Evaluator: An Adversarial Debiasing-based Deep Learning Framework in Student Admissions. A Priyadarshini, S Gago-Masague. 2024 IEEE International Conference on Cognitive Machine Intelligence (CogMI), 152-161
  12. 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)
  13. 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)
  14. 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. 
  15. 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.
  16. 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
  17. 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
  18. 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
  19. Machine Learning with Keyword Analysis for Supporting Holistic Undergraduate Admissions in Computer Science. B Martinez Neda. University of California, Irvine
  20. 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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