Three HCII PhD Students Win Awards During International Conferences
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HCII students Martina Rau, Samantha Finkelstein, and Yanjin Long are first authors on three award-winning papers during recent international conferences.
Martina Rau is first author of a paper that took the Best Paper Award during the 6th International Conference on Educational Data Mining (EDM 2013). Samantha Finkelstein is the first author of a paper that won the Best Paper Award during the 16th International Conference on Artificial Intelligence in Education (AIED 2013). Yanjin Long won the Best Student Paper award during the same conference.
- Conference Best Paper Award, 6th International Conference on Educational Data Mining (EDM 2013)
Rau, M. A., Scheines, R., Aleven, V., & Rummel, N. (2013). Does representational understanding enhance fluency – or vice versa? Searching for mediation models. In S. K. D’Mello, R. A., Calvo, & A. Olney (Eds.), Proceedings of the 6th International Conference on Educational Data Mining (EDM 2013) (pp. 161–168). Worcester, MA: International Educational Data Mining Society. - Conference Student Paper Award, 16th International Conference on Artificial Intelligence in Education (AIED 2013)
Finkelstein, S. L., Yarzebinski, E., Vaughn, C., Ogan, A., & Cassell, J. (2013). The effects of culturally congruent educational technologies on student achievement. In H. C. Lane, K. Yacef, J. Mostow, & P. Pavlik (Eds.), Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED 2013) (pp. 493–502). Berlin, Heidelberg: Springer. doi: 10.1007/978-3-642-39112-5_50 - Conference Best Student Paper Award, 16th International Conference on Artificial Intelligence in Education (AIED 2013)
Long, Y., & Aleven, V. (2013). Skill diaries: Improve student learning in an intelligent tutoring system with periodic self-assessment. In H. C. Lane, K. Yacef, J. Mostow, & P. Pavlik (Eds.), Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED 2013) (pp. 219–228). Berlin, Heidelberg: Springer. doi: 10.1007/978-3-642-39112-5_26