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Download full textCai, Zhiqiang; Eagan, Brendan; Dowell, Nia M.; Pennebaker, James W.; Shaffer, David W.; Graesser, Arthur C. – International Educational Data Mining Society, 2017
This study investigates a possible way to analyze chat data from collaborative learning environments using epistemic network analysis and topic modeling. A 300-topic general topic model built from TASA (Touchstone Applied Science Associates) corpus was used in this study. 300 topic scores for each of the 15,670 utterances in our chat data were…
Descriptors: Epistemology, Network Analysis, Cooperative Learning, Computer Software
Interleaved Practice with Multiple Representations: Analyses with Knowledge Tracing Based Techniques
Rau, Martina A.; Pardos, Zachary A. – International Educational Data Mining Society, 2012
The goal of this paper is to use Knowledge Tracing to augment the results obtained from an experiment that investigated the effects of practice schedules using an intelligent tutoring system for fractions. Specifically, this experiment compared different practice schedules of multiple representations of fractions: representations were presented to…
Descriptors: Intelligent Tutoring Systems, Mathematics, Knowledge Level, Scheduling
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
