A/Prof Kalina Yacef
Phone: +61 2 9351 6098
School of Information Technologies
Level 3 West, Building J12
University of Sydney
NSW, 2006, Australia
Educational Data Mining, Artificial Intelligence in Education, Intelligent Tutoring Systems, User Modelling, Computer Supported Collaborative Learning, Computer-Human Adapted Interaction, Computer Science Education.
Kalina Yacef's research lies in the fields of Artificial Intelligence in Education, Educational Data Mining and Human Computer Interaction. It aims to create smart, personalised computing systems to support learning and teaching. A particular focus of her research is to create ways to mine the rich stream of interaction data between learners and computer systems, and build interfaces to control this data and visualise results.
Her projects are funded by the
Smart Services CRC and by the Australian Research Council.
She is the Editor of the Journal of Educational Data Mining (
JEDM). She serves as co-Program Chair of the international conference on Educational Data Mining (
EDM 2012) and the international conference on Artificial Intelligence in Education (AIED 2013).
V. Gramoli, M. A. Charleston, B. Jeffries, I. Koprinska, M. McGrane, A. Radu, A. Viglas, and K. Yacef. Mining autograding data in computer science education. In Proceedings of the Australasian Computer Science Week Multiconference, Canberra, Australia, February 2-5, 2016, page 1, 2016. [View Details]
R. Martinez-Maldonado, A. Pardo, N. Mirriahi, K. Yacef, J. Kay, and A. Clayphan. LATUX: An Iterative Workflow for Designing, Validating, and Deploying Learning Analytics Visualizations. Journal of learning Analytics, page to apear, 2016. [View Details]
H. Labarthe, F. Bouchet, R. Bachelet, and K. Yacef. Does a peer recommender foster students’ engagement in moocs. In Proceedings of International Conference in Educational Data Mining, 2016. [View Details]
J. McBroom, B. Jeffries, I. Koprinska, and K. Yacef. Mining behaviors of students in autograding submission system logs. In Proceedings of International Conference in Educational Data Mining, 2016. [View Details]
R. Martinez-Maldonado, A. Pardo, N. Mirriahi, K. Yacef, J. Kay, and A. Clayphan. A Workflow for Designing and Deploying Awareness Tools for Technology-Enabled Learning Environments. In LAK15, Learning Analytics and Knowledge, page to apear. ACM, 2015. [View Details]
R. Martinez-Maldonado, K. Yacef, and J. Kay. TSCL: A conceptual model to inform understanding of collaborative learning processes at interactive tabletops. Int. J. Hum.-Comput. Stud., 83:62-82, 2015. [View Details]
R. Martinez-Maldonado, A. Pardo, N. Mirriahi, K. Yacef, J. Kay, and A. Clayphan. The LATUX workflow: designing and deploying awareness tools in technology-enabled learning settings. In Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, LAK '15, Poughkeepsie, NY, USA, March 16-20, 2015, pages 1-10, 2015. [View Details]
I. Koprinska, J. Stretton, and K. Yacef. Predicting Student Performance from Multiple Data Sources. In Artificial Intelligence in Education - 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings, pages 678-681, 2015. [View Details]
I. Koprinska and K. Yacef. People-to-People Reciprocal Recommenders. In Recommender Systems Handbook, pages 545-567. 2015. [View Details]
L. M. Tang and K. Yacef. Personalising e-Learning Systems: Lessons Learned from a Vocational Education Case Study. In Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29 - July 3, 2015., 2015. [View Details]
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