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Danciulescu, Theodora Ioana; Mihaescu, Marian Cristian; Heras, Stella; Palanca, Javier; Julian, Vicente – International Educational Data Mining Society, 2020
Building and especially improving a classification kernel represents a challenging task. The works presented in this paper continue an already developed semi-supervised classification approach that aimed at labelling transcripts from educational videos. We questioned whether the size of the ground-truth data-set (Wikipedia articles) or the quality…
Descriptors: Data Analysis, Classification, Information Retrieval, Video Technology
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Chen, Zhaorui; Demmans, Carrie – International Educational Data Mining Society, 2020
Discussion forums are used to support socio-collaborative learning processes among students in online courses. However, complex forum structures and lengthy discourse require that students spend their limited time searching and filtering through posts to find those that are relevant to them rather than spending that time engaged in other…
Descriptors: Cooperative Learning, Computer Mediated Communication, Recordkeeping, Online Courses
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Niu, Ke; Niu, Zhendong; Zhao, Xiangyu; Wang, Can; Kang, Kai; Ye, Min – International Educational Data Mining Society, 2016
User clustering algorithms have been introduced to analyze users' learning behaviors and help to provide personalized learning guides in traditional Web-based learning systems. However, the explicit and implicit coupled interactions, which means the correlations between user attributes generated from learning actions, are not considered in these…
Descriptors: Web Based Instruction, Student Needs, User Needs (Information), Mathematics