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    Dr. Natalie Culligan

    作者:来源:发布时间:2022-04-15点击数:

    Staff Details

    Position: Lecturer/ Assistant Professor

    Email:Natalie.Culligan@mu.ie

    Dr. Culligan completed her PhD in Computer Science Education in Maynooth University. She completed a professional certificate in Teaching and Learning in Maynooth University and undertook her Computer Science BSc in Ballyfermot College of Further Education, Dublin. Prior to teaching in Maynooth University, Dr. Culligan worked as a Release Engineering with Oracle andhas worked as a sound engineer in both music venues and recording studios.

    Research Project

    Dr Natalie Culligan’s research interests include Computer Science Pedagogy, Data Analysis, Media and Video Games. She wrote her PhD “Two Roads Diverge: Mapping the Path of Learning for Novice Programmers Through Large Scale Interaction Data and Neural Network Classifiers” on data gathered from 1st year students as they learned to code using the pedagogical coding environment MULE (Maynooth University Learning Environment), which was developed as part of her research. Natalie’s PhD was funded by John and Pat Hume Postgraduate award and the Irish Research Council Postgraduate Scholarship.

    Scientific Treatise

    Culligan, N. and Casey, K., “What the Mouse Said: How Mouse Movements Can Relate to Student Stress and Success,” in Psychology of Programming Interest Group, Toronto, Canada, 2020.

    Culligan, N. and Casey, K., “Exploring the Coding Behaviour of Successful Students in Programming by Employing Neo-Piagetian Theory” in Psychology of Programming Interest Group, Toronto, Canada, 2020.

    Culligan, N. and Casey, K., “Building an Authentic Novice Programming Lab Environment,” in International Conference on Engaging Pedagogy, Dublin, Ireland, 2018.

    Quille, K., Culligan, N., & Bergin, S.“Insights on Gender Differences in CS1: A Multi-institutional, Multi-variate Study” in Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education,(pp. 263-268), Bologna, Italy, 2017.

    Culligan, N., Quille, K., & Bergin, S. “VEAP: A Visualisation Engine and Analyzer for PreSS#” In Proceedings of the 16th koli calling international conference on computing education research (pp. 130-134), Koli, Finland, 2016.

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