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EDM

Kalina Yacef, Irena Koprinska, Judy Kay, Agathe Merceron
School of Information Technologies, University of Sydney

Contact Person

Kalina Yacef
kalina@it.usyd.edu.au

Photo of EDM

Project Description

Web-based educational systems collect tremendous amount of electronic data, ranging from simple histories of students' interactions with the system to detailed traces about their reasoning. However, less attention has been given to handling the large quantities of data collected from the students' interactions and extracting pedagogically useful information from it. Such systems give teachers and learning researchers access to an extensive source of electronic data about students' learning, data which is currently under-exploited. Data mining techniques have the potential to remedy this situation. Data mining encompasses a range of techniques and algorithms for discovering interesting patterns hidden in large data sets such as association rules, classification, cluster analysis as well as statistical analysis and database query. In this project, the goals are:

  • To identify, adapt or create new data mining methods that are suited for turning learners' performance data into information of relevance to teachers, instructional designers, and learning researchers.
  • To define how to "massage" the student data so that we can extract interesting patterns
  • To automate/facilitate some of the algorithm selection and pre-processing features
  • To find suitable ways to present the results to users
  • To exploit the patterns found to improve adaptation of teaching systems

Key Publications

R. Martinez-Maldonado, K. Yacef, and J. Kay. Data mining in the classroom: Discovering groups’ strategies at a multi-tabletop environment. In International Conference on Educational Data mining, EDM 2013, pages 121-128, 2013. [View Details]

R. Martinez-Maldonado, K. Yacef, and J. Kay. An automatic approach for mining patterns of collaboration around an interactive tabletop. In International Conference on Artificial Intelligence in Education, AIED 2013, pages 101-110, 2013. [View Details]

A. Clayphan, R. Martinez-Maldonado, and J. Kay. Open learner models to support reflection on brainstorming at interactive tabletops. In International Conference on Artificial Intelligence in Education, AIED 2013, pages 683-686, 2013. [View Details]

A. Clayphan, R. Martinez-Maldonado, and J. Kay. Designing olms for reflection about group brainstorming at interactive tabletops. In 2nd Workshop on Intelligent Support for Learning in Groups at the 16th International Conference on Artificial Intelligent in Education, volume 3, pages 27-36, 2013. [View Details]

R. Martinez-Maldonado, A. Clayphan, K. Yacef, J. Kay, and C. J. Ackad. Sensing, tracking and modelling with ignition - a framework for supporting classroom collaboration. In Educational Interfaces, Software, and Technology 2012: 3rd Workshop on UI Technologies and Educational Pedagogy, 2012. [View Details]

C. Ackad, A. Clayphan, R. Martinez, and J. Kay. Seamless and continuous user identification for interactive tabletops using personal device handshaking and body tracking. In CHI '12: Proceedings of the 2012 ACM annual conference extended abstracts on Human Factors in Computing Systems (Extended Abstracts), pages 1775-1780, New York, NY, USA, 2012. ACM. [View Details]

R. Martinez-Maldonado, J. Kay, K. Yacef, and B. Schwendimann. Unpacking traces of collaboration from multimodal data of collaborative concept mapping at a tabletop. In International Conference of the Learning Sciences: The Future of learning, ICLS 2012, pages 241-245, 2012. [View Details]

R. Martinez-Maldonado, K. Yacef, J. Kay, and B. Schwendimann. An interactive teacher’s dashboard for monitoring groups in a multi-tabletop learning environment. In Proceedings of Intelligent Tutoring Systems, ITS 2012, pages 482-492. Springer, 2012. [View Details]

R. Martinez-Maldonado, J. Kay, and K. Yacef. Analysing knowledge generation and acquisition from individual and face-to-face collaborative concept mapping. In A. J. Canas, J. D. Novak, and J. Vanhear, editors, Concept Maps: Theory, Methodology, Technology Proc. of the Fifth Int. Conference on Concept Mapping, pages 17-24, 2012. [View Details]

R. Martinez-Maldonado, Y. Dimitriadis, J. Kay, K. Yacef, , and M.-T. Edbauer. Orchestrating a multi-tabletop classroom: from activity design to enactment and reflection. In Proceedings of Interactive Tabletops and Surfaces, ITS 2012, pages 119-128. ACM, 2012. [View Details]

P. Reimann, K. Yacef, and J. Kay. Analyzing collaborative interactions with data mining methods for the benefit of learning, volume 12 of Analyzing Interactions in CSCL: Methodology, approaches and issues, pages 161-185. Springer, 2011. [View Details]

R. Martinez, J. Kay, and K. Yacef. Visualisations for longitudinal participation, contribution and progress of a collaborative task at the tabletop. In International Conference on Computer Supported Collaborative Learning, CSCL 2011, pages 25-32, 2011. [View Details]

R. Martinez, J. Kay, K. Yacef, and J. Wallace. Modelling symmetry of activity as an indicator of collocated group collaboration. In 19th International Conference on User Modeling, Adaptation and Personalization, UMAP 2011, pages 207-218, 2011. [View Details]

R. Martinez, J. Wallace, J. Kay, and K. Yacef. Modelling and identifying collaborative situations in a collocated multi-display groupware setting. In International Conference on Artificial Intelligence in Education, AIED 2011, pages 196-204, 2011. [View Details]

R. Martinez, K. Yacef, J. Kay, A. Kharrufa, and A. Al-Qaraghuli. Analysing frequent sequential patterns of collaborative learning activity around an interactive tabletop. In 4th International Conference on Educational Data Mining, EDM2011, pages 111-120, 2011. [View Details]

R. Martinez, C. Ackad, K. Yacef, and J. Kay. Designing tabletop-based systems for user modelling of collaboration. In In Adaptive Support for Team Collaboration (ASTC2011) Workshop - The 19th International Conference on User Modeling, Adaptation and Personalization,(UMAP2011), pages 47-51, 2011. [View Details]

R. Martinez, A. Collins, J. Kay, and K. Yacef. Who did what? who said that? Collaid: an environment for capturing traces of collaborative learning at the tabletop. In ACM International Conference on Interactive Tabletops and Surfaces, ITS 2011, pages 172-181, 2011. [View Details]

J. Kay, I. Koprinska, and K. Yacef. Educational Data Mining to Support Group Work in Software Development Projects, pages 173-186. Handbook of Educational Data Mining. Taylor and Francis, 2010. [View Details]

A. K. Dominguez, K. Yacef, and J. R. Curran. Data mining for generating hints in a python tutor. In Educational Data Mining conference proceedings, pages 91-100, 2010. [View Details]

V. Southavilay, K. Yacef, and R. A. Calvo. Process mining to support students’ collaborative writing (best student paper award). In Educational Data Mining conference proceedings, pages 257-266, 2010. [View Details]

R. Martinez, J. Kay, and K. Yacef. Collaborative concept mapping at the tabletop. In ACM International Conference on Interactive Tabletops and Surfaces, ITS 2010, pages 207-210, 2010. [View Details]

V. Southavilay, K. Yacef, and R. A. Calvo. Analysis of collaborative writing processes using hidden markov models and semantic heuristics. In Submitted to Workshop on Semantic Aspects in Data Mining (SADM) at ICDM2010, pages 543-548, 2010. [View Details]

D. Perera, J. Kay, K. Yacef, I. Koprinska, and O. Zaiane. Clustering and sequential pattern mining of online collaborative learning data. IEEE Transactions on Knowledge and Data Engineering, 21(6):759-772, 2009. [View Details]

A. Merceron and K. Yacef. Interestingness measures for association rules in educational data. In Proceedings of Educational Data Mining Conference, pages 57-66, 2008. [View Details]

A. Merceron and K. yacef. Règles d'association et analyse d'interactions d'apprenants : Mesures d'intérêt. In TICE conference, 2008. [View Details]

D. Perera, J. Kay, K. Yacef, and I. Koprinska. Mining learners' traces from an online collaboration tool. In Proceedings of Educational Data Mining workshop, pages 60-69, 2007. [View Details]

R. O. Zaiane, K. Yacef, and J. Kay. Finding top-n emerging sequences to contrast sequence sets. Technical Report 07-03, Department of Computing Science, University of Alberta, Edmonton, AB, Canada, 2007. [View Details]

A. Merceron and K. Yacef. Revisiting interestingness of strong symmetric association rules in educational data. In Proceedings of International Workshop on Applying Data Mining in e-Learning (ADML'07), 2007. [View Details]

C. Choquet, V. Luengo, and K. Yacef. Usage Analysis in Learning Systems: Existing Approaches and Scientific Issues, volume 18 of Journal of Interactive Learning Research (JILR). 2007. [View Details]

J. Kay, N. Maisonneuve, K. Yacef, and O. Zaiane. Mining patterns of events in students' teamwork data. In Online Proceedings of the ITS (Intelligent Tutoring Systems) 2006 Workshop on Educational Data Mining, pages 45-52, Jhongli, Taiwan, 2006. [View Details]

J. Kay. Scrutable adaptation: because we can and must. In V. Wade, H. Ashman, and B.Smyth, editors, Proceedings of Adaptive Hypermedia and Adaptive Web-Based Systems, 4th International Conference, AH2006, pages 11-19. Springer, 2006. [View Details]

C. Heiner, R. Baker, and K. Yacef, editors. Proceedings of Educational Data Mining workshop, held in conjunction with the 8th International Conference on Intelligent Tutoring Systems, Jhongli, Taiwan., 2006. [View Details]

D. Cummins, K. Yacef, and I. Koprinska. A sequence based recommender system for learning resources. Australian Journal of Intelligent Information Processing Systems, 9:49-56, 2006. [View Details]

D. Cummins, K. Yacef, and I. Koprinska. A sequence based recommender system for learning resources. In A. Spink and R. Wilkinson, editors, 11th Australasian Document Computing Symposium (ADCS'06), Brisbane, Australia, 2006. [View Details]

A. Merceron and K. Yacef. Clustering students to help evaluate learning, volume 171 of Technology Enhanced Learning, pages 31-42. Springer, 2005. [View Details]

A. Merceron and K. Yacef. Tada-ed for educational data mining. Interactive Multimedia Electronic Journal of Computer-Enhanced Learning, 7(1), 2005. [View Details]

A. Merceron and K. Yacef. Educational data mining: a case study. In C. K. Looi, G. McCalla, B. Bredeweg, and J. Breuker, editors, Proceedings of the 12th Conference on Artificial Intelligence in Education, pages 467-474, Amsterdam, The Netherlands, 2005. IOS Press. [View Details]

A. Merceron and K. Yacef. Clustering students to help evaluate learning, Technology Enhanced Learning, volume 171, pages 31-42. Springer, 2005. [View Details]

C. Choquet, V. Luengo, and K. Yacef, editors. Proceedings of Usage Analysis in Learning Systems workshop, held in conjunction with AIED 2005, Amsterdam, The Netherlands, July 2005. [View Details]

A. Merceron and K. Yacef. Mining student data captured from a web-based tutoring tool: Initial exploration and results. Journal of Interactive Learning Research (JILR), 15(4):319-346, 2004. [View Details]

A. Merceron and K. Yacef. Train, store, analyse for more adaptive teaching. In Proceedings of International Symposium Information and Knowledge Technologies in Higher Education and Industry (TICE2004), pages 52-59, Compiegne, France, 2004. Technical University of Compigne. [View Details]