Jordan Esiason is a Ph.D. student in the Center for Educational Informatics at North Carolina State University. He earned his undergraduate degrees in Statistics and Music Composition at
the University of Massachusetts, Amherst and spent several years doing computer science
education research as a data analyst at SageFox Consulting Group before being awarded an
NSF fellowship to pursue graduate studies.

Jordan’s current work includes developing tools for affect-responsive
game-based learning environments. His interests broadly involve applying data
mining and machine learning techniques such as natural language processing and artificial
intelligence to computer science education contexts.

Education
B.S. Mathematics (2019)
University of Massachusetts, Amherst

B.M. Music (2019)
University of Massachusetts, Amherst

Journal Articles
Rath, K., Xavier, J., Menier, A., Esiason, J., Gates, A., Kitanska, D., Komisaruk, B., San
Miguel, C., Stein, J., Tat, F., Van Aken, T., & White, J. (2023). S-STEM as the Culmination
of a Multi-Institutional, Multi-Grant Program for the Success of Underrepresented Students.
Understanding Interventions, 14(1).

Conference Papers
Danyelle Tauryce Ireland, Amanda Menier, Rebecca Zarch, and Jordan Esiason. 2022.
Transfer Support and Student Outcomes Correlations among URM and Non-URM
Computing and Engineering Students. In Proceedings of the 53rd ACM Technical
Symposium on Computer Science Education V. 2 (SIGCSE 2022). Association for
Computing Machinery, New York, NY, USA, 1092.
https://doi.org/10.1145/3478432.3499084

Projects
Crystal Island
An intelligent game-based learning environment for middle school science and literacy
education.