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Direct linkRomero-Hall, Enilda; Watson, Ginger; Papelis, Yiannnis – Journal of Educational Multimedia and Hypermedia, 2014
To examine the visual attention, emotional responses, learning, perceptions and attitudes of learners interacting with an animated pedagogical agent, this study compared a multimedia learning environment with an emotionally-expressive animated pedagogical agent, with a non-expressive animated pedagogical agent, and without an agent. Visual…
Descriptors: Physiology, Emotional Response, Responses, Learning
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
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
