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J. Prather

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Review Sep 2026

Testing Our Foundations: Citation Trends, Errors, and Emerging Hallucinations in the Computing Education Literature

Accurate references are foundational to scholarly work, enabling verification, attribution, and systematic review. However, the rapid adoption of large language models has introduced a serious integrity concern: plausible-looking but fabricated citations. Although hallucinated references are widely discussed, their vis...

Paul Denny, Gweneth Barbre, Musa Blake et al. · 0 citations

Digital Reading Materials and Religious Practice: Usage in Personal Study and Religious Education Courses

Religion is an important part of many people's lives, with reading from religious texts being among the most common and important regular practices. Modern technology has changed the way this religious reading takes place, but the interaction of technology with religious reading has not been studied in detail. In this...

Teancum Price, Musa Blake, J. Prather et al. · 0 citations
Book Open access Aug 2026

Scaffolding Autocomplete: Improving Guidance for Learners using Generative Code Suggestions

A scaffolded programming exercise designed to support student differentiation between good and bad GenAI code suggestions based on negative expertise–that identifying why an answer is wrong is part of developing conceptual knowledge.

J. Prather, Stephen MacNeil, Andrew Luxton-Reilly et al. · 0 citations
Book Open access Aug 2026

A Validated Scale Measuring Student Self-Efficacy for Programming with Generative AI

This paper presents the development and initial validation of an instrument to measure self-efficacy while using GenAI to learn programming, and finds strong support for the validity of the existing Steinhorst instrument in a new context, specifically an introductory programming course that fully integrates GenAI.

J. Prather, Lauren E. Margulieux, Yekaterina Kharitonova et al. · 0 citations

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