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Download full textBouchet, Francois; Harley, Jason M.; Trevors, Gregory J.; Azevedo, Roger – Journal of Educational Data Mining, 2013
In this paper, we present the results obtained using a clustering algorithm (Expectation-Maximization) on data collected from 106 college students learning about the circulatory system with MetaTutor, an agent-based Intelligent Tutoring System (ITS) designed to foster self-regulated learning (SRL). The three extracted clusters were validated and…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Individualized Instruction
Direct linkBeers, Scott F.; Quinlan, Thomas; Harbaugh, Allen G. – Reading and Writing: An Interdisciplinary Journal, 2010
This study employed eyetracking technology to investigate adolescent students' reading processes as they composed and to explore relationships between these reading processes and text quality. A sample of 32 adolescent students composed narrative and expository texts while eyetracking equipment recorded their eye movements. Eye movements upon a…
Descriptors: Eye Movements, Technology Uses in Education, Adolescents, Reading Processes
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
