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Brett A. Becker
Researcher at University College Dublin
Publications - 23
Citations - 358
Brett A. Becker is an academic researcher from University College Dublin. The author has contributed to research in topics: Computer science & Readability. The author has an hindex of 5, co-authored 23 publications receiving 53 citations.
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Journal ArticleDOI
Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review
Anna Markella Antoniadi,Yuhan Du,Yasmine Guendouz,Lan Wei,Claudia Mazo,Brett A. Becker,Catherine Mooney +6 more
TL;DR: An overall distinct lack of application of XAI is found in the context of CDSS and, in particular, a lack of user studies exploring the needs of clinicians is found.
Proceedings ArticleDOI
What Do We Think We Think We Are Doing?: Metacognition and Self-Regulation in Programming
TL;DR: To benchmark the current state of research, papers that primarily studied metacognition and self-regulation in programming education are examined and synthesize the reported interventions used and results from that research are synthesized.
Proceedings ArticleDOI
Investigating the Impact of the COVID-19 Pandemic on Computing Students' Sense of Belonging
Catherine Mooney,Brett A. Becker +1 more
TL;DR: The authors found statistically significant reductions in the sense of belonging of students identifying as men as well as those not identifying as being part of a minority during the COVID-19 pandemic.
Proceedings ArticleDOI
Error Message Readability and Novice Debugging Performance
TL;DR: The effects of presenting novices with compiler error messages designed using the most recent collection of published guidelines are explored, resulting in significantly shorter debugging times and higher self-reported scores of message usefulness for students in the very early stages of learning a new language.
Proceedings ArticleDOI
On Designing Programming Error Messages for Novices: Readability and its Constituent Factors
Paul Denny,James Prather,Brett A. Becker,Catherine Mooney,John Homer,Zachary Albrecht,Garrett B. Powell +6 more
TL;DR: In this article, the authors report three related experiments investigating factors that influence programming error message readability, including length, jargon use, sentence structure, and vocabulary, and ask novice programmers to rate messages using scales derived from these factors.