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Mbouzao, Boniface; Desmarais, Michel C.; Shrier, Ian – International Educational Data Mining Society, 2020
Massive online Open Courses (MOOCs) make extensive use of videos. Students interact with them by pausing, seeking forward or backward, replaying segments, etc. We can reasonably assume that students have different patterns of video interactions, but it remains hard to compare student video interactions. Some methods were developed, such as Markov…
Descriptors: Comparative Analysis, Video Technology, Interaction, Measurement Techniques
Junokas, M. J.; Lindgren, R.; Kang, J.; Morphew, J. W. – Journal of Computer Assisted Learning, 2018
Gestural recognition systems are important tools for leveraging movement-based interactions in multimodal learning environments but personalizing these interactions has proven difficult. We offer an adaptable model that uses multimodal analytics, enabling students to define their physical interactions with computer-assisted learning environments.…
Descriptors: Nonverbal Communication, Multimedia Instruction, Computer Assisted Instruction, Data Analysis
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction

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