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A Course Agnostic Approach to Predicting Student Success from VLE Log Data Using Recurrent Neural Networks

Owen Corrigan, Alan F. Smeaton. A Course Agnostic Approach to Predicting Student Success from VLE Log Data Using Recurrent Neural Networks. In Élise Lavoué, Hendrik Drachsler, Katrien Verbert, Julien Broisin, Mar Pérez-Sanagustín, editors, Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Tallinn, Estonia, September 12-15, 2017, Proceedings. Volume 10474 of Lecture Notes in Computer Science, pages 545-548, Springer, 2017. [doi]

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Owen Corrigan

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Alan F. Smeaton

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