Browsing by Author "Mindzak, Michael"

Now showing 1 - 3 of 3
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    AI & AI: Exploring the contemporary intersections of artificial intelligence and academic integrity
    (2022-05-17) Kumar, Rahul; Mindzak, Michael; Eaton, Sarah Elaine; Morrison, Ryan
    Issues emerging from the use of artificial intelligence technologies in academic integrity are examined using deontological (principle-based), utilitarian (consequence-based), and feminist (community-based) ethical theories. Specifically, how are these ethical theories to be applied to the matters of Ai when AI mitigates educational interactions? Aside from ethics, the reality of the use of artificial intelligence technology has an impact on labour and even academic labour. Using contemporary theories that tackle automation and work is examined in the context of higher education. Although the futures are volatile, uncertain, complex, and ambiguous (VUCA), the trajectory of how artificial intelligence will be deployed is certainly uncertain. But the application of AI in text generation is here and readily available. Currently, there are a growing number of automatic text generators based on Large Language Models (LLMs) that are available to students at little or no cost. The impact on academics and education is inevitable, and while there are no explicit solutions, there are pedagogically appropriate opportunities that could provide broader change in creating more authenticity in the development of student writing. All the previously explored trends immediately affect academic integrity and assessment in post-secondary education. In the final presentation, the current practices will be troubled, and new opportunities discussed.
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    Artificial Intelligence, Algorithmic Writing & Educational Ethics
    (2021-06-01) Eaton, Sarah Elaine; Mindzak, Michael; Morrison, Ryan
    Paper presented at the Canadian Society for the Study of Education (CSSE) 2021 - Canadian Association for the Study of Educational Administration (CASEA) (June 1, 2021) The purpose of this paper is to provide a theoretical and conceptual discussion of the rapidly emerging field of artificial intelligence (AI) and algorithmic writing (AW). The continued development of new tools—most notably at this time, GPT-3—continues to push forward and against the boundaries between the writing of human and machine. As issues surrounding AI continue to be actively discussed by scientists, futurists and ethicists, educational leaders also find themselves front and centre of debates concerning, academic writing, academic integrity and educational ethics more broadly. Three points of focus provide the basis for this analysis. Firstly, we examine the impact of AW on student writing and academic integrity in schools. Secondly, we discuss similar issues in relation to publication and academic scholarship. Finally, taken together, we discuss the broader ethical dimensions and implications that AI and AW will, and are, quickly bringing into education and the field educational administration and leadership.
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    Understanding the Impact of Artificial Intelligence on Higher Education
    (2023-06-08) Eaton, Sarah Elaine; Dawson, Phillip; McDermott, Brenda; Brennan, Robert; Wiens, Jason; Moya, Beatriz; Dahal, Bibek; Milne, Nick; Miller, Allyson; Mindzak, Michael; Kumar, Rahul; Hamilton, Melanie
    This one-day public conference included transdisciplinary research presentations on various topics related to artificial intelligence in higher education including, but not limited to, pedagogy, assessment, ethics, artificial intelligence, ChatGPT, large language models, bias, equity, diversity, inclusion Sponsors include: Social Sciences and Humanities Research Council (SSHRC) (Grant #: 611-2022-0398) Social Sciences and Humanities Research Council of Canada (SSHRC) University of Calgary International Research Partnership Workshop Grant University of Calgary Teaching and Learning Grant Werklund School of Education, University of Calgary Deakin University Brock University Toronto Metropolitan University University of Saskatchewan