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International Educational Data Mining Society, 2012
The 5th International Conference on Educational Data Mining (EDM 2012) is held in picturesque Chania on the beautiful Crete island in Greece, under the auspices of the International Educational Data Mining Society (IEDMS). The EDM 2012 conference is a leading international forum for high quality research that mines large data sets of educational…
Descriptors: Information Retrieval, Data, Data Analysis, Pattern Recognition
Kim, Jihie; Shaw, Erin; Xu, Hao; Adarsh, G. V. – International Educational Data Mining Society, 2012
In this paper we examine the collaborative performance of undergraduate engineering students who used shared project documents (Wikis, Google documents) and a software version control system (SVN) to support project collaboration. We present an initial implementation of TeamAnalytics, an instructional tool that facilitates the analyses of the…
Descriptors: Undergraduate Students, Engineering Education, Teamwork, Group Activities
Molina, M. M.; Luna, J. M.; Romero, C.; Ventura, S. – International Educational Data Mining Society, 2012
This paper proposes to the use of a meta-learning approach for automatic parameter tuning of a well-known decision tree algorithm by using past information about algorithm executions. Fourteen educational datasets were analysed using various combinations of parameter values to examine the effects of the parameter values on accuracy classification.…
Descriptors: Case Studies, Mathematics, Data Analysis, Accuracy
Lopez, M. I.; Luna, J. M.; Romero, C.; Ventura, S. – International Educational Data Mining Society, 2012
This paper proposes a classification via clustering approach to predict the final marks in a university course on the basis of forum data. The objective is twofold: to determine if student participation in the course forum can be a good predictor of the final marks for the course and to examine whether the proposed classification via clustering…
Descriptors: Classification, Prediction, Grades (Scholastic), College Freshmen
Forsyth, Carol; Pavlik, Philip, Jr.; Graesser, Arthur C.; Cai, Zhiqiang; Germany, Mae-lynn; Millis, Keith; Dolan, Robert P.; Butler, Heather; Halpern, Diane – International Educational Data Mining Society, 2012
"OperationARIES!" is an Intelligent Tutoring System that teaches scientific inquiry skills in a game-like atmosphere. Students complete three different training modules, each with natural language conversations, in order to acquire deep-level knowledge of 21 core concepts of research methodology (e.g., correlation does not mean causation). The…
Descriptors: Learning, Cognitive Processes, Logical Thinking, Scientific Methodology


