Chaos Based Digital Watermarking. - Aidan Mooney (Intelligent Computing Based on Chaos, 2009)

Can a Computationally Creative System Create Itself? Creative Artefacts and Creative Processes. - Diarmuid P. O'Donoghue; James F. Power; Sian O'Briain; Feng Dong; Aidan Mooney; Donny Hurley; Yalemisew M. Abgaz; Charles Markham (ICCC, 2014)

An innovative approach to improve assessment of group based projects. - Susan Bergin; Aidan Mooney (Koli Calling, 2016)

A neurofeedback system to promote learner engagement. - James Lockwood; Aidan Mooney; Susan Bergin (PPIG, 2016)

Using an innovative assessment approach on a real-world group based software project. - Susan Bergin; Aidan Mooney (CoRR, 2016)

Computational Thinking in Education: Where does it Fit? A systematic literary review. - James Lockwood; Aidan Mooney (CoRR, 2017)

Visual and Textual Programming Languages: A Systematic Review of the Literature. - Mark Noone; Aidan Mooney (CoRR, 2017)

First Programming Language: Visual or Textual? - Mark Noone; Aidan Mooney (CoRR, 2017)

Developing Computational Thinking Test Using Bebras Problems. - James Lockwood; Aidan Mooney (CC-TEL/TACKLE@EC-TEL, 2018)

Computational Thinking in Secondary Education: Where does it fit? A systematic literary review. - James Lockwood; Aidan Mooney (Int. J. Comput. Sci. Educ. Sch., 2018)

An Investigation of Gender Differences in Computer Science Using Physiological, Psychological and Behavioural Metrics. - Keith E. Nolan; Aidan Mooney; Susan Bergin (ACE, 2019)

An Insight Into the Relationship Between Confidence, Self-efficacy, Anxiety and Physiological Responses in a CS1 Exam-like Scenario. - Keith E. Nolan; Susan Bergin; Aidan Mooney (UKICER, 2019)

Analysis of an automatic grading system within first year Computer Science programming modules. - Emlyn Hegarty-Kelly; Aidan Mooney (CEP, 2021)

Supervised Machine Learning for Modelling STEM Career and Education Interest in Irish School Children. - Annika Lindh; Keith Quille; Aidan Mooney; Kevin Marshall; Katriona O'Sullivan (EDM, 2022)

Bebras-inspired Computational Thinking Primary School Resources Co-created by Computer Science Academics and Teachers. - Taina Lehtimäki; Rosemary Monahan; Aidan Mooney; Kevin Casey; Thomas J. Naughton (ITiCSE (1), 2022)

PreSS: Predicting Student Success Early in CS1. A Pilot International Replication and Generalization Study. - Keith Quille; Soohyun Nam Liao; Eileen Costelloe; Keith Nolan; Aidan Mooney; Kartik Shah (ITiCSE (1), 2022)

A computational thinking module for secondary students and pre-service teachers using Bebras-style tasks. - Taina Lehtimäki; James Hamm; Aidan Mooney; Kevin Casey; Rosemary Monahan; Thomas J. Naughton (UKICER, 2022)

Evolving Towards a Trustworthy AIEd Model to Predict at Risk Students in Introductory Programming Courses. - Keith Quille; Lidia Vidal-Meliá; Keith Nolan; Aidan Mooney (HCAIep, 2023)

A Computational Thinking Obstacle Course Based on Bebras Tasks for K-12 Schools. - Taina Lehtimäki; Rosemary Monahan; Aidan Mooney; Kevin Casey; Thomas J. Naughton (ITiCSE (1), 2023)

Computational Thinking Resources Inspired by Bebras. - Taina Lehtimäki; Rosemary Monahan; Aidan Mooney; Kevin Casey; Thomas J. Naughton (ITiCSE (2), 2023)