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Judy Kay

Biographic Data

ID5558716
NAMEJudy Kay
GIVEN NAMESJudy
FAMILY NAMEKay
SIGNATUREKAY J
AFFILIATIONSThe University of Sydney
ORCID0000-0001-6728-2768
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1989
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Foundations for Human-AI teaming for self-regulated learning with explainable AI (XAI)

    Open Access•Judy Kay•ARTICLE•Computers in Human Behavior•2023

  • Explainable Artificial Intelligence in education

    Open Access•Hassan Khosravi, Simon Buckingham Shum et al.•ARTICLE•Computers and Education:…•2022

    There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms. One of the emerging methods for increasing trust in AI systems is to use eXplainable AI (XAI), which promotes the use of methods that produce transparent explanations and reasons for decisions AI systems make. Considering the existing literature on XAI, this p…

  • Collocated Collaboration Analytics

    Roberto Martínez‐Maldonado, Judy Kay et al.•ARTICLE•Human-Computer Interaction•2017

    Learning to collaborate effectively requires practice, awareness of group dynamics, and reflection; often it benefits from coaching by an expert facilitator. However, in physical spaces it is not always easy to provide teams with evidence to support collaboration. Emerging technology provides a promising opportunity to make collocated collaboration visible by harnessing data about interactions and then mining and visualizing it. These collocated …

  • Deploying and Visualising Teacher’s Scripts of Small Group Activities in a Multi-surface Classroom Ecology

    Open Access•Roberto Martinez-Maldonado, Roberto Martínez‐Maldonado et al.•ARTICLE•Computer Supported Cooperative…•2015

  • An Evaluation of a Computer Science Orientation Programme

    Judy Kay, Michael Prosser•ARTICLE•Assessment & Evaluation in Higher…•1989

    A short and intensive orientation programme was offered to a small group of students before the start of their first computer science course. During the orientation programme, students studied Karel, a simple programming language which provides pre‐programming skills for students embarking on a Pascal programming course. The programme was evaluated in terms of the assistance it gave participants in coping with the computing course. This evaluatio…

No prominent works on this page.

  • An Evaluation of a Computer Science Orientation Programme

    Judy Kay, Michael Prosser•ARTICLE•Assessment & Evaluation in Higher…•1989

    A short and intensive orientation programme was offered to a small group of students before the start of their first computer science course. During the orientation programme, students studied Karel, a simple programming language which provides pre‐programming skills for students embarking on a Pascal programming course. The programme was evaluated in terms of the assistance it gave participants in coping with the computing course. This evaluatio…

  • Deploying and Visualising Teacher’s Scripts of Small Group Activities in a Multi-surface Classroom Ecology

    Open Access•Roberto Martinez-Maldonado, Roberto Martínez‐Maldonado et al.•ARTICLE•Computer Supported Cooperative…•2015

  • Collocated Collaboration Analytics

    Roberto Martínez‐Maldonado, Judy Kay et al.•ARTICLE•Human-Computer Interaction•2017

    Learning to collaborate effectively requires practice, awareness of group dynamics, and reflection; often it benefits from coaching by an expert facilitator. However, in physical spaces it is not always easy to provide teams with evidence to support collaboration. Emerging technology provides a promising opportunity to make collocated collaboration visible by harnessing data about interactions and then mining and visualizing it. These collocated …

  • Explainable Artificial Intelligence in education

    Open Access•Hassan Khosravi, Simon Buckingham Shum et al.•ARTICLE•Computers and Education:…•2022

    There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms. One of the emerging methods for increasing trust in AI systems is to use eXplainable AI (XAI), which promotes the use of methods that produce transparent explanations and reasons for decisions AI systems make. Considering the existing literature on XAI, this p…

  • Foundations for Human-AI teaming for self-regulated learning with explainable AI (XAI)

    Open Access•Judy Kay•ARTICLE•Computers in Human Behavior•2023

Computer Science (5 works) · Knowledge management (4 works) · Artificial Intelligence (3 works) · Human–computer interaction (3 works) · Data science (2 works) · Engineering (2 works) · Explainable Artificial Intelligence (XAI (2 works) · Mathematics education (2 works) · Online Learning and Analytics (2 works) · Psychology (2 works)

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