Sheard, Judy
Monash University
8 papers on CoChatORCID 0000-0002-4179-8149
Most cited papers
- Verified
Investigating Differences in Cheating Behaviours of IT Undergraduate and Graduate Students: The maturity and motivation factors
Sheard, J., Markham, S., & Dick, M. (2003) · Higher Education Research & Development
Academic integrity and plagiarismEthics in Business and Education
Cited by 147
- Verified
Strategies for Maintaining Academic Integrity in First-Year Computing Courses
Sheard, J., Simon, Butler, M., Falkner, K., Morgan, M., & Weerasinghe, A. (2017) · Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education
Academic integrity and plagiarismInformation Systems Education and Curriculum Development
Cited by 98
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Negotiating the Maze of Academic Integrity in Computing Education
Simon, Sheard, J., Morgan, M., Petersen, A., Settle, A., Sinclair, J., Cross, G., & Riedesel, C. (2016) · Proceedings of the 2016 ITiCSE Working Group Reports
Academic integrity and plagiarismTeaching and Learning Programming
Cited by 76
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Theories and Models of Emotions, Attitudes, and Self-Efficacy in the Context of Programming Education
Malmi, L., Sheard, J., Kinnunen, P., Simon, & Sinclair, J. (2020) · Proceedings of the 2020 ACM Conference on International Computing Education Research
Teaching and Learning ProgrammingGender and Technology in Education
Cited by 60
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Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview Study
Sheard, J., Denny, P., Hellas, A., Leinonen, J., Malmi, L., & Simon (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1
Teaching and Learning ProgrammingArtificial Intelligence in Education
Cited by 54
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Educating Computer Programming Students about Plagiarism through Use of a Code Similarity Detection Tool
Le, T., Carbone, A., Sheard, J., Schuhmacher, M., de Raath, M., & Johnson, C. (2013) · 2013 Learning and Teaching in Computing and Engineering
Academic integrity and plagiarismSoftware Engineering Research
Cited by 23
- Verified
Identifying Criteria that Should be Considered when Deciding the Proportion of Online to Face-to-Face Components of a Blended Course
Alammary, A., Carbone, A., & Sheard, J. (2015) · 2015 48th Hawaii International Conference on System Sciences
Online and Blended LearningEducational Technology and E-Learning
Cited by 19
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Navigating the Ethical and Societal Impacts of Generative AI in Higher Computing Education
Mak, J., Nakatumba-Nabende, J., Clear, T., Clear, A., Abluwi, I., Andrei, O., Angeli, L., MacNeil, S., Oyelere, S. S., Hale Rattigan, M., et al. (2025) · Proceedings of the 2025 Working Group Reports on Innovation and Technology in Computer Science Education
Ethics and Social Impacts of AIArtificial Intelligence in Education
Cited by 12
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