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]
@inproceedings{CorriganS17,
title = {A Course Agnostic Approach to Predicting Student Success from VLE Log Data Using Recurrent Neural Networks},
author = {Owen Corrigan and Alan F. Smeaton},
year = {2017},
doi = {10.1007/978-3-319-66610-5_59},
url = {https://doi.org/10.1007/978-3-319-66610-5_59},
researchr = {https://researchr.org/publication/CorriganS17},
cites = {0},
citedby = {0},
pages = {545-548},
booktitle = {Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Tallinn, Estonia, September 12-15, 2017, Proceedings},
editor = {Élise Lavoué and Hendrik Drachsler and Katrien Verbert and Julien Broisin and Mar Pérez-Sanagustín},
volume = {10474},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-66610-5},
}