Detecting AI assisted submissions in introductory programming via code anomaly
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Recent posts
From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-Choice Questions for Programming Classes in Higher Education
Abstract We explore the evolving efficacy of three generative pre-trained transformer (GPT) models in generating answers for multiple-choice questions (MCQ) ...
A Qualitative Assessment of ChatGPT Generated Code in the Computer Science Curriculum
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CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes
Abstract Computing educators face significant challenges in providing timely support to students, especially in large class settings. Large language models (...
How Novices Use LLM-based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment
Abstract As Large Language Models (LLMs) gain in popularity, it is important to understand how novice programmers use them and the effect they have on learni...