Scanlon, Philip (2018) Using students’ digital footprints to identify peer influences on academic outcomes. PhD thesis, Dublin City University.

Scanlon, Philip and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2017) Using WiFi technology to identify student activity within a bounded environment. In: EC-TEL 2017, 11-15 Sep 2017, Tallinn, Estonia.

Azcona, David ORCID: 0000-0003-3693-7906, Corrigan, Owen ORCID: 0000-0002-1840-982X, Scanlon, Philip and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (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

Scanlon, Philip (2016) Identifying student groups through their wifi digital footprint. In: National Forum - Exploring LA in the Irish HE Landscape, 8th December 2016, Dublin.

Scanlon, Philip and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2016) Identifying the impact of friends on their peers academic performance. In: The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 18 Aug 2016, San Francisco, CA..

Scanlon, Philip and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2016) Using data analytics to predict peer-group effects on student exam results. In: Ireland International Conference on Education (IICE), 24-27 April 2016, Dublin, Ireland.

Scanlon, Philip and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2015) Predicting peer group effects on University exam results. In: EventInsight Student Conference (INSIGHT-SC 2015), 30 Oct 2015, NUIG, Galway, Ireland.

Scanlon, Philip and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2015) Predicting topographical and sociological information patterns from building access logs. In: EventInsight Student Conference (INSIGHT-SC 2015), 30 Oct 2015, NUIG, Galway, Ireland.