This paper empirically study how different algorithmic implementations of the same underlying task affect students' ability to reason about good abstractions through method extraction, and shows that interleaved functional composition is more difficult to decompose.
G. Haldeman, Claus Brabrand, Paul Denny· Annual Conference on Innovat...· 0 citations
This work analyzed 23 publicly available syllabi and course materials of upper-division, credit-bearing courses that meet specific criteria, including explicitly addressing Generative AI in software engineering, and characterized courses'learning objectives, assessments, topics, and documented AI tools.
Francis Geng, Anshul Shah, Miannuan Chen et al.· 0 citations
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.· International Computing Educ...· 0 citations
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