Number of items: 7.
Corrigan, Owen (2018) An Investigation Into Machine Learning Solutions Involving Time Series Across Different Problem Domains. PhD thesis, Dublin City University.
Corrigan, Owen and Smeaton, Alan F. (2017) A course agnostic approach to predicting student success from VLE log data using recurrent neural networks. In: 12th European Conference on Technology Enhanced Learning, 12-15 Sep, 2017, Tallinn, Estonia. ISBN 978-3-319-66609-9 (In Press)
Azcona, David and Corrigan, Owen and Scanlon, Philip and Smeaton, Alan F. (2017) Innovative learning analytics research at a data-driven HEI. In: 3rd. International Conference on Higher Education Advances, 21–23 June 2017, Valencia, Spain. ISBN 978-84-9048-590-3
Corrigan, Owen and Glynn, Mark and McKenna, Aisling and Smeaton, Alan F. and Smyth, Sinead (2015) Student data: data is knowledge – putting the knowledge back in the students’ hands. In: 14th European Conference on e-Learning ECEL-2015, 29-30 Oct 2015, University of Hertfordshire, Hatfield, UK.
Corrigan, Owen and Smeaton, Alan F. and Glynn, Mark and Smyth, Sinead (2015) Using educational analytics to improve test performance. In: EC-TEL 2015 10th European Conference on Technology Enhanced Learning, 15-18 Sept 2015, Toledo, Spain.
Corrigan, Owen and Glynn, Mark and Smeaton, Alan F. and Smyth, Sinead (2015) Mining access logs with predictive analytics to improve student performance. In: EdTech 2015, Irish Learning Technology Association Conference, 28 May 2015, Limerick, Ireland.
Smeaton, Alan F. and Smyth, Sinead and Corrigan, Owen and Brennan, John and Egan, Ely (2014) Predicting “At Risk” Students from log data. In: Insight Student Conference (INSIGHT-SC 2014), 12 Sept 2014, UCD, Dublin, Ireland.