2018

Azcona, David ORCID: 0000-0003-3693-7906, Hsiao, I-Han and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2018) Personalizing computer science education by leveraging multimodal learning analytics. In: The 48th Annual Frontiers in Education (FIE) Conference, October 3-6, 2018, San Jose, California, USA. (In Press)

Vance Paredes, Yancy, Azcona, David, Hsiao, I-Han and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2018) Predictive modelling of student reviewing behaviors in an introductory programming course. In: Educational Data Mining in Computer Science Education (CSEDM) Workshop at Educational Data Mining 2018, 15 - 18 July 2018, Buffalo, New York, US.

Azcona, David, Hsiao, I-Han and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2018) Modelling math learning on an open access intelligent tutor. In: The 19th International Conference on Artificial Intelligence in Education, June 27 - 30, 2018, London, UK. ISBN 978-3-319-93846-2

Azcona, David, Hsiao, I-Han and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2018) PredictCS: Personalizing Programming learning by leveraging learning analytics. In: International Workshop on Orchestrating Learning Analytics (OrLA): Learning Analytics Adoption at the Classroom Level, 5-9 Mar 2018, Sydney, Australia. ISBN 978-1-4503-6400-3

2017

Azcona, David and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2017) Targeting at-risk students using engagement and effort predictors in an introductory computer programming course. In: The 12th. European Conference on Technology-Enhanced Learning (EC-TEL), 12-15 Sept 2017, Tallinn, Estonia. ISBN 978-3-319-66610-5

Azcona, David, Corrigan, Owen, 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