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Research web site

Mohammad Falakmasir

Graduate Student, Dr. Ashley

School of Arts and Sciences

Intelligent Systems Program

Faculty Advisor: Kevin Ashley

Research Interests

  • Artificial Intelligence in Education
  • Adaptive Educational Hypermedia
  • Student and User Modeling
  • Intelligent Tutoring Systems
  • Social Computing

Barstow, B., Fazio, L., Lippman, J., Falakmasir, M., Schunn, C. D., & Ashley, K. D. (2016). The impacts of domain-general vs. domain-specific diagramming tools on writing. International Journal of Artificial Intelligence in Education, 1-23.

Jabbari, F., Falakmasir, M., & Ashley, K. (2016). Identifying Thesis Statements in Student Essays: The Class Imbalance Challenge and Resolution. In Proceedings of the 29th International FLAIRS Conference, Special Track on Applied Natural Language Processing, Key Largo, Florida, USA.

Ashley, K., & Falakmasir, M. (2015). A global perspective on argument diagramming to support writing skills. 7th International Conference on Education and New Learning Technologies, EDULEARN15 Proceedings, pp. 7354-7363. Barcelona, July.

Falakmasir, M. H., Ashley, K. D., Schunn, C. D., & Litman D. J. (2014). Identifying thesis and conclusion statements in student essays to scaffold peer review. Proceedings 12th International Conference on Intelligent Tutoring Systems (ITS). Honolulu, HI.

Falakmassir, M. H., Ashley, K. D., & Schunn, C. D. (2013). Using Argument Diagramming to Improve Peer Grading of Writing Assignments.Proceedings of the 1st Workshop on Massive Open Online Courses (moocshop) at the 16th Annual Conference on Artificial Intelligence in Education (AIED 2013). Memphis, TN.

"A Spectral Learning Approach to Knowledge Tracing" by Mohammad Hassan Falakmasir won the EDM 2013 Best Student Paper Award

July 7, 2013



LRDC Director's Graduate Fellowship