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2020 – today
- 2023
[c14]Keith Quille
, Lidia Vidal-Meliá, Keith Nolan, Aidan Mooney:
Evolving Towards a Trustworthy AIEd Model to Predict at Risk Students in Introductory Programming Courses. HCAIep 2023: 22-28- [c13]Taina Lehtimäki, Rosemary Monahan, Aidan Mooney, Kevin Casey, Thomas J. Naughton:
A Computational Thinking Obstacle Course Based on Bebras Tasks for K-12 Schools. ITiCSE (1) 2023: 478-484 - [c12]Taina Lehtimäki, Rosemary Monahan, Aidan Mooney, Kevin Casey, Thomas J. Naughton:
Computational Thinking Resources Inspired by Bebras. ITiCSE (2) 2023: 663 - 2022
- [c11]Annika Lindh, Keith Quille, Aidan Mooney, Kevin Marshall, Katriona O'Sullivan:
Supervised Machine Learning for Modelling STEM Career and Education Interest in Irish School Children. EDM 2022 - [c10]Keith Quille, Soohyun Nam Liao, Eileen Costelloe, Keith Nolan, Aidan Mooney, Kartik Shah:
PreSS: Predicting Student Success Early in CS1. A Pilot International Replication and Generalization Study. ITiCSE (1) 2022: 54-60 - [c9]Taina Lehtimäki, Rosemary Monahan, Aidan Mooney, Kevin Casey, Thomas J. Naughton:
Bebras-inspired Computational Thinking Primary School Resources Co-created by Computer Science Academics and Teachers. ITiCSE (1) 2022: 207-213 - [c8]Taina Lehtimäki, James Hamm, Aidan Mooney, Kevin Casey, Rosemary Monahan, Thomas J. Naughton:
A computational thinking module for secondary students and pre-service teachers using Bebras-style tasks. UKICER 2022: 19:1 - 2021
- [c7]Emlyn Hegarty-Kelly, Aidan Mooney:
Analysis of an automatic grading system within first year Computer Science programming modules. CEP 2021: 17-20
2010 – 2019
- 2019
- [c6]Keith E. Nolan, Aidan Mooney, Susan Bergin:
An Investigation of Gender Differences in Computer Science Using Physiological, Psychological and Behavioural Metrics. ACE 2019: 47-55 - [c5]Keith E. Nolan, Susan Bergin, Aidan Mooney:
An Insight Into the Relationship Between Confidence, Self-efficacy, Anxiety and Physiological Responses in a CS1 Exam-like Scenario. UKICER 2019: 8:1-8:7 - 2018
- [j1]James Lockwood, Aidan Mooney:
Computational Thinking in Secondary Education: Where does it fit? A systematic literary review. Int. J. Comput. Sci. Educ. Sch. 2(1): 41-60 (2018) - [c4]James Lockwood, Aidan Mooney:
Developing Computational Thinking Test Using Bebras Problems. CC-TEL/TACKLE@EC-TEL 2018 - 2017
- [i4]James Lockwood, Aidan Mooney:
Computational Thinking in Education: Where does it Fit? A systematic literary review. CoRR abs/1703.07659 (2017) - [i3]Mark Noone, Aidan Mooney:
Visual and Textual Programming Languages: A Systematic Review of the Literature. CoRR abs/1710.01547 (2017) - [i2]Mark Noone, Aidan Mooney:
First Programming Language: Visual or Textual? CoRR abs/1710.11557 (2017) - 2016
- [c3]Susan Bergin, Aidan Mooney:
An innovative approach to improve assessment of group based projects. Koli Calling 2016: 12-20 - [c2]James Lockwood, Aidan Mooney, Susan Bergin:
A neurofeedback system to promote learner engagement. PPIG 2016: 28 - [i1]Susan Bergin, Aidan Mooney:
Using an innovative assessment approach on a real-world group based software project. CoRR abs/1609.07899 (2016) - 2014
- [c1]Diarmuid P. O'Donoghue, James F. Power, Sian O'Briain, Feng Dong, Aidan Mooney, Donny Hurley, Yalemisew M. Abgaz, Charles Markham:
Can a Computationally Creative System Create Itself? Creative Artefacts and Creative Processes. ICCC 2014: 146-154
2000 – 2009
- 2009
- [p1]Aidan Mooney:
Chaos Based Digital Watermarking. Intelligent Computing Based on Chaos 2009: 315-332
Coauthor Index
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