Projects

  • From 2017, I am also working on a project called Analytics for LEarners As People (LEAP) . The goal of this project is to build a new generation of learning analytics tools which integrate our understanding of “student as a person” and “student as a learner” across various kinds of data, including traditional learning analytics data and other behavioral signals. Specifically, I am working on representing student's knowledge state from discussion forum dialogue texts, and predicting the amount of information exist in a sentence for describing a particular concept.
  • From 2014, I have worked on a intelligent tutoring system: Dynamic Support of Contextual Vocabulary Acquisition for Reading (DSCoVAR) . We aim to help kids in middle school improve their literacy skills and develop some compelling new technology in the process. In this project, I am working on modeling student's engagement and developing a scale for partial knowledge state in the vocabulary acquisition task.

Publications

2017

  • Nam, S., Frishkoff, G. A., & Collins-Thompson, K. (2017). Predicting Short- and Long-Term Vocabulary Learning via Semantic Features of Partial Word Knowledge. In Educational Data Mining. (PDF)
  • Nam, S., Frishkoff, G. A., & Collins-Thompson, K. (2017). Predicting Students’ Disengaged Behaviors in an Online Meaning-Generation Task. In IEEE Transactions on Learning Technologies. (PDF)

2016

  • Waddington, R. J., & Nam, S., Lonn, S., & Teasley, S. D. (2016). Improving early Warning Systems with Categorized Course Resource Usage. In Journal of Learning Analytics (pp. 263-290). (PDF)
  • Nam, S. (2016). Predicting Off-task Behaviors in an Adaptive Vocabulary Learning System (Doctoral consortium proceeding). In Educational Data Mining. (PDF)
  • Nam, S., Collins-Thompson, K., & Frishkoff, G. A. (2016). Modeling Off-task Behaviors in a Meaning-Generation Task. In Measurement in Digital Environments White Paper Series.
  • Frishkoff, G. A., Collins-Thompson, K., Nam, S., Hodges, L., & Crossley, S. (2016). Dynamic Support of Contextual Vocabulary Acquisition for Reading (DSCoVAR): An intelligent tutor for contextual word learning. In Crossley, S. A., & McNamara, D. S. (Eds.), Adaptive Educational Technologies for Literacy Instruction. New York, NY: Routledge.
  • Nam, S., Collins-Thompson, K., Frishkoff, G. A., Bhide, A., Muth, K. B., & Perfetti, C. (2016). Modeling Real-time Performance on a Meaning-Generation Task (Short paper). In AERA’16 Annual Meeting.

2015

  • Nam, S., Collins-Thompson, K., Frishkoff, G. A, Bhide, A., Muth, K. B., & Perfetti, C. (2015). Measuring Real- time Student Engagement in Contextual Word Learning (Conference abstract). Presented in Twenty-Second Annual Meeting of Society for the Scientific Study of Reading.

2014

  • Oh, J., Nam, S., & Lee, J. (2014). Generating highlights automatically from text-reading behaviors on mobile devices (Works-in-progress). In CHI'14 Extended Abstracts on Human Factors in Computing Systems (pp. 2317-2322). ACM. (PDF)
  • Nam, S., Lonn, S., Brown, T., Davis, C. S., & Koch, D. (2014). Customized course advising: investigating engineering student success with incoming profiles and patterns of concurrent course enrollment (Full paper). In Proceedings of the Fourth International Conference on Learning Analytics and Knowledge (pp. 16-25). ACM. (PDF)
  • Waddington, R. J., & Nam, S. (2014). Practice exams make perfect: incorporating course resource use into an early warning system (Short paper). In Proceedings of the Fourth International Conference on Learning Analytics And Knowledge (pp. 188-192). ACM. (PDF)