Mihaela Sabin

Mihaela Sabin headshot
Phone: (603) 641-4144
Office: Applied Engineering & Sciences, 88 Commercial Street, M 121, Pandora Bldg, Manchester, NH 03101

Mihaela Sabin has taught a variety of computing courses designed to facilitate learning activities that value students' diverse lived experiences. Her current research includes computing education and curriculum development, with emphasis on professional competencies and faculty role modeling. She has contributed to the AI field of constraint satisfaction with a new representational model based on conditional constraints. Sabin chaired the ACM/IEEE Computer Society IT2017 task group, who authored the “Curriculum Guidelines for Baccalaureate Degree Programs in Information Technology” report. She received external funding awards from the National Science Foundation, New Hampshire Innovation Research Center, Google for Education, and other private and corporate foundations for projects that support computing learning by students and teachers. Sabin serves on the ACM Education Board and on the ACM SIGITE Executive Committee as Vice-Chair for Education. She also represents SIGITE on the ACM Education Advisory Committee. She is a founding member of the Computer Science Teacher Association NH Chapter and of the CS4NH alliance. Sabin is an ABET Program Evaluator, a member of the ABET CS Accreditation Board, and a member of the ABET CAC/CSAB Diversity, Equity, and Inclusion committee. Sabin's top priority professionally and personally is to bring the quality of human being into computing as a discipline, program of study, and profession. Dr. Sabin has an MS in Computer Science from “Politehnica” University in Bucharest, Romania, and an MS for Teachers in College Teaching and PhD in Computer Science from UNH.

Courses Taught

  • COMP 424: Applied Computing 1
  • COMP 424/780: Applied Computing 1
  • COMP 525: Data Structures Fundamentals
  • COMP 525/780: Data Structures Fundamentals
  • COMP 525/880: Data Structures Fundamentals
  • COMP 705/805: Web Application Development
  • COMP 741: Practical AI
  • COMP 741/841: Practical AI
  • COMP 841: Practical AI
  • COMP 880: Top/Integrated Practicum
  • COMP/GRAD 898/899/900: Master's Project
  • COMP/GRAD 898/900: Master's Project
  • GRAD 900: Master's Continuing Research


  • Ph.D., Computer Science, University of New Hampshire
  • M.S., Computer Science, Politehnica University of Bucharest
  • M.S.T., University of New Hampshire
  • B.S., Computer Science, Politehnica University of Bucharest

Research Interests

  • Artificial Intelligence
  • Computing Education
  • Constraint Satisfaction
  • Curriculum Design
  • Open Source Software
  • Educational equity

Selected Publications

  • Bowers, D. S., Sabin, M., Raj, R. K., & Impagliazzo, J. (2022). Advancing Computing Education: Assessing CC2020 Dispositions. In 2022 IEEE Frontiers in Education Conference (FIE). IEEE. doi:10.1109/fie56618.2022.9962670

  • Bowers, D., & Sabin, M. (2022). Using a Professional Skills Framework to Support the Assessment of Dispositions in IT Education. In Proceedings of the 23rd Annual Conference on Information Technology Education. ACM. doi:10.1145/3537674.3554747

  • Grande, V., Kinnunen, P., Peters, A. -K., Barr, M., Cajander, Å., Daniels, M., . . . Thota, N. (2022). Making Visible and Modeling the Underrepresented. In Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2. ACM. doi:10.1145/3502717.3532170

  • Bowers, D. S., Sabin, M., Raj, R. K., & Impagliazzo, J. (2022). Computing Competencies: Mapping CC2020 Dispositions to SFIA Responsibility Characteristics. In 2022 IEEE Global Engineering Education Conference (EDUCON). IEEE. doi:10.1109/educon52537.2022.9766565

  • Sabin, M., Kiesler, N., Kumar, A. N., MacKellar, B. K., McCauley, R., Raj, R. K., & Impagliazzo, J. (2022). Fostering Dispositions and Engaging Computing Educators. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2. ACM. doi:10.1145/3545947.3569592

  • Raj, R., Sabin, M., Impagliazzo, J., Bowers, D., Daniels, M., Hermans, F., . . . Oudshoorn, M. (2021). Professional Competencies in Computing Education. In Proceedings of the 2021 Working Group Reports on Innovation and Technology in Computer Science Education. ACM. doi:10.1145/3502870.3506570

  • Sabin, M., Jin, K. H., & Smith, A. (2021). Oral Exams in Shift to Remote Learning. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education. ACM. doi:10.1145/3408877.3432511

  • Sabin, M., Zweben, S., Lunt, B., & Raj, R. K. (2020). Evaluating Student Participation in Undergraduate Information Technology Programs in the U.S.. In Proceedings of the 21st Annual Conference on Information Technology Education. ACM. doi:10.1145/3368308.3415396

  • Sabin, M. (2019). Open Peer Commentary: De-Constructionism - An Effective Premise to Constructionist Learning. Constructivist Foundations, 14(3), 244-245. Retrieved from https://constructivist.info/14/3/244

  • Sabin, M., DuBow, W., Smith, A., & Deloge, R. (2019). Changing Perceptions of Who Can Code: A Professional Development Program for Career and Technical Education Teachers. In Proceedings of the Collaborative Network for Engineering and Computing Diversity (pp. 23 pages). American Society for Engineering Education. Retrieved from https://peer.asee.org/31748