Publications

Conferences
• MLDG - Machine Learning Dataset Generator (Pilot Findings). HCAI-ep '23, Human Centered AI - Education and Practice, TUDublin December 14th and 15th, 2023

• CSLINC - Development of a National Outreach VLE. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2023)

• INNODOCT/21. International Conference on Innovation, Documentation and Education, 2022

• Supervised Machine Learning for Modelling STEM Career and Education Interest in Irish School Children. Proceedings of the 15th International Conference on Educational Data Mining. 2022.

• ITiCSE 2022 Preview




• Measuring the enacted K-12 computing curriculum. In Understanding computing education (Vol 1). Proceedings of the Raspberry Pi Foundation Research Seminar series. (2021)





• Predicting Student Success. Early for a VTOS Student International Conference on Engaging Pedagogy - ICEP, University of Limerick, Limerick, Ireland, Dec. 12 & 13, 2019









• Does Scratch improve self-efficacy and performance when learning to program in C#? An empirical study. International Conference on Engaging Pedagogy - ICEP, Dec 2016, At Maynooth University, Maynooth, Co Kildare

• Programming: Further Factors that Influence Success. PPIG - Psychology of Programming Interest Group, St Catharine's College, University of Cambridge, UK, Volume: 27th Annual Workshop 2016


• Programming: Factors that Influence Success Revisited and Expanded. International Conference on Engaging Pedagogy - ICEP, College of Computing Technology, Dublin, Ireland, Dec. 3 & 4, 2015

Journals
• Keith Quille & Susan Bergin (2019) CS1: how will they do? How can we help? A decade of research and practice, Computer Science Education, 29:2-3, 254-282, DOI: 10.1080/08993408.2019.1612679

• Using Machine Learning Techniques to Predict Introductory Programming Performance. International Journal of Computer Science and Software Engineering (IJCSSE), Volume 4, Issue 12, December 2015

• PreSS#. A Web-Based Educational System to Predict Programming Performance. International Journal of Computer Science and Software Engineering (IJCSSE), Volume 4, Issue 7, July 2015

PhD Thesis
• Keith Quille (2018) Predicting and Improving Performance on Introductory Programming Courses (CS1), Department of Computer Science, National University of Ireland Maynooth.

Books
• Brett A. Becker & Keith Quille (2020) Leaving Certificiate Computer Science (To Appear)

Commissioned Research
• Digital Technology - Using, Understanding and Creating - Technical Report, NCCA, 2022.

News Articles
• Girls 'just as good as boys' at computer science work. The Irish Independent. October 16th, 2017

• Algorithm can predict students’ drop-out rate. Sunday Business Post. November 22nd, 2015