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Learning Faults Detection by AIS Techniques in CSCL Environments
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Zedadra, Amina; Lafifi, Yacine – Educational Technology & Society, 2015
By the increase of e-learning platforms, huge data sets are made from different kinds of the collected traces. These traces differ from one learner to another according to their characteristics (learning styles, preferences, performed actions, etc.). Learners' traces are very heterogeneous and voluminous, so their treatments and exploitations are…
Descriptors: Foreign Countries, Universities, Electronic Learning, Tutors