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20212026
most citedAutomatic Generation of Programming Exercises and Code Explanations using Large Language Models

473 citations · 1.8k across the 57 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CY2025★ 1 cited

Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback

Victor-Alexandru Pădurean, Tung Phung, Nachiket Kotalwar +4

The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current a…

cs.CY2025

Interleaving Natural Language Prompting with Code Editing for Solving Programming Tasks with Generative AI Models

Victor-Alexandru Pădurean, Alkis Gotovos, Ahana Ghosh +5

Modern computing students often rely on both natural-language prompting and manual code editing to solve programming tasks. Yet we still lack a clear understanding of how these two…

cs.CY2025

Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools

Lorenzo Lee Solano, Charles Koutcheme, Juho Leinonen +2

Frontier Large language models (LLMs) like ChatGPT and Gemini can decipher cryptic compiler errors for novice programmers, but their computational scale, cost, and tendency to over…

cs.HC2025★ 1 cited

SPIRAL integration of generative AI in an undergraduate creative media course: effects on self-efficacy and career outcome expectations

Troy Schotter, Saba Kawas, James Prather +3

Computing education and computing students are rapidly integrating generative AI, but we know relatively little about how different pedagogical strategies for intentionally integra…

cs.HC2025

From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions

Ali Alfageeh, Sadegh AlMahdi Kazemi Zarkouei, Daye Nam +9

Background and Context. The increasing integration of large language models (LLMs) in computing education presents an emerging challenge in understanding how students use LLMs and…

cs.HC2025★ 7 cited

Probing the Unknown: Exploring Student Interactions with Probeable Problems at Scale in Introductory Programming

Paul Denny, Viraj Kumar, Stephen MacNeil +2

Introductory programming courses often rely on small code-writing exercises that have clearly specified problem statements. This limits opportunities for students to practice how t…

cs.SE2025

The Role of Generative AI in Software Student CollaborAItion

Natalie Kiesler, Jacqueline Smith, Juho Leinonen +3

Collaboration is a crucial part of computing education. The increase in AI capabilities over the last couple of years is bound to profoundly affect all aspects of systems and softw…