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Creators/Authors contains: "McKay, Mark"

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  1. ; (, ACM Proceedings of the 2025 Conference on Research on Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT '25))
    Domestic undergraduate computer science students formally learn about machine learning and artificial intelligence in upper-level undergraduate computing programs, yet they must navigate the lure of ChatGPT and other generative Artificial Intelligence tools that have been found to be somewhat accurate at completing early coding assignments. As AI tools proliferate, messaging about their use in academic settings are varied, and access to AI literacy is unknown. Through an investigation of interviews with Pell grant-eligible college students at open-access colleges, we address the following research questions: How do low-income undergraduate interview participants describe their uses of and attitudes regarding generative AI tool use for academic purposes? and What elements of AI digital literacy appear to be accessible to interview participants, based on their descriptive statements? 
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    Free, publicly-accessible full text available July 14, 2026
  2. ; (, Society for Information Technology & Teacher Education International Conference)
    Accepted Manuscript Full Text Available