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View all- Weiand AManssour ISilveira M(2019)Visual Analysis for Monitoring Students in Distance CoursesInternational Journal of Distance Education Technologies10.4018/IJDET.201904010217:2(18-44)Online publication date: 1-Apr-2019
Machine learning insights on the learning process
Authors: 
Laura Fernández-Robles, Hector Alaiz-Moreton, Javier Alfonso-Cendón, Manuel Castejon-Limas, Luis Panizo-AlonsoAuthors Info & Claims
Laura Fernández-Robles, Hector Alaiz-Moreton, Javier Alfonso-Cendón, Manuel Castejon-Limas, Luis Panizo-AlonsoAuthors Info & ClaimsPages 349 - 353
Abstract
This paper reports the insights obtained during an experience on eight courses in fields of diverse nature. A methodology based on data visualization supported by multidimensional scaling is presented. These techniques might be useful for instructors interested in identifying those factors with larger impact on the learning-teaching process. Graphical results obtained allow the visual interpretation of the students' behavior. Hidden knowledge might stem from such analyses which can reveal unknown patterns or support previous assumptions. The results obtained foster the application of these techniques as interesting feedback in order to adapt the learning-teaching process according to the actual performance of the students.
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- Machine learning insights on the learning process
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Published: 02 November 2016
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TEEM'16
TEEM'16: 4th International Conference on Technological Ecosystems for Enhancing Multiculturality
November 2 - 4, 2016
Salamanca, Spain
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Overall Acceptance Rate 496 of 705 submissions, 70%
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View all- Weiand AManssour ISilveira M(2019)Visual Analysis for Monitoring Students in Distance CoursesInternational Journal of Distance Education Technologies10.4018/IJDET.201904010217:2(18-44)Online publication date: 1-Apr-2019
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