Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Hillary Dawkins"'
Publikováno v:
Physical Review Physics Education Research, Vol 13, Iss 2, p 020117 (2017)
We address previous hypotheses about possible factors influencing the gender gap in attainment in physics. Specifically, previous studies claim that scaffolding may preferentially benefit female students, and we present some alternative conclusions s
Externí odkaz:
https://doaj.org/article/59120f8eb87748f0bc6f422ef171440e
Autor:
Judi McCuaig, Casey August, Hillary Dawkins, Joshua Lange, Erin Doherty, Carey West, Daniel Gillis
Publikováno v:
EDULEARN Proceedings.
Autor:
Hillary Dawkins
Publikováno v:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.
Reporting and providing test sets for harmful bias in NLP applications is essential for building a robust understanding of the current problem. We present a new observation of gender bias in a downstream NLP application: marked attribute bias in natu
Autor:
Hillary Dawkins
Publikováno v:
Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing.
We observe an instance of gender-induced bias in a downstream application, despite the absence of explicit gender words in the test cases. We provide a test set, SoWinoBias, for the purpose of measuring such latent gender bias in coreference resoluti
Publikováno v:
ICERI Proceedings.
Publikováno v:
ICERI Proceedings.
Autor:
Erin Doherty, Joshua Lange, Carey West, Casey August, Judi McCuaig, Hillary Dawkins, Daniel Gillis
Publikováno v:
ICERI Proceedings.
Publikováno v:
Physical Review A. 102
The characterization of errors in a quantum system is a fundamental step for two important goals. First, learning about specific sources of error is essential for optimizing experimental design and error correction methods. Second, verifying that the
Autor:
Sean Lunt, Alliyya Mohammed, Judi McCuaig, Kevin Glover-Netherton, Matthew Sampson, Hillary Dawkins, Rhys Young, David Hudec, James Mosley, Grant Douglas, Mostafa Rashed, Dalton Polhill
Publikováno v:
ITiCSE
Problem solving is a critical skill for computer science. However, the complexity and overhead of most programming tasks make problem solving difficult to explicitly teach. Previous studies describe explicit instruction of problem-solving strategies,
Publikováno v:
WCCCE
Problem solving is a crucial skill for computer science students to master. Most instruction in problem solving either assumes latent uptake (through practice with course materials), or, when explicit, is presented in parallel with new course materia