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Peer reviewedPriti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2023
This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…
Descriptors: Computational Linguistics, Programming, Computer Science Education, Programming Languages
Download full textRich, Peter Jacob; Hu, Helen; Christensen, James; Ellsworth, Jordan – Grantee Submission, 2019
This report provides a comprehensive look at computer science (CS) education across Utah elementary, middle/jr. high, and high schools as of 2018. The Utah Expanding Computing Education Pathways (ECEP) team sent out a survey to all public schools in the state of Utah. The survey presented targeted questions depending on whether it was completed…
Descriptors: Computer Science Education, Public Schools, Teacher Attitudes, Enrollment Trends
