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Introductory programming courses often emphasize mastering syntax and basic constructs before progressing to more complex and interesting programs. This bottom-up approach can be frustrating for novices, shifting the focus away from problem…

Computers and Society · Computer Science 2024-10-07 Chris Kerslake , Paul Denny , David H Smith , James Prather , Juho Leinonen , Andrew Luxton-Reilly , Stephen MacNeil

Large Language Models (LLMs) are revolutionizing the field of computing education with their powerful code-generating capabilities. Traditional pedagogical practices have focused on code writing tasks, but there is now a shift in importance…

Human-Computer Interaction · Computer Science 2023-11-13 Paul Denny , Juho Leinonen , James Prather , Andrew Luxton-Reilly , Thezyrie Amarouche , Brett A. Becker , Brent N. Reeves

Generative AI models are increasingly being integrated into human task workflows, enabling the production of expressive content across a wide range of contexts. Unlike traditional human-AI design methods, the new approach to designing…

Human-Computer Interaction · Computer Science 2025-04-01 Hari Subramonyam , Divy Thakkar , Andrew Ku , Jürgen Dieber , Anoop Sinha

With their remarkable ability to generate code, large language models (LLMs) are a transformative technology for computing education practice. They have created an urgent need for educators to rethink pedagogical approaches and teaching…

Human-Computer Interaction · Computer Science 2023-08-01 Paul Denny , Juho Leinonen , James Prather , Andrew Luxton-Reilly , Thezyrie Amarouche , Brett A. Becker , Brent N. Reeves

Deep generative models have the potential to fundamentally change the way we create high-fidelity digital content but are often hard to control. Prompting a generative model is a promising recent development that in principle enables…

Human-Computer Interaction · Computer Science 2022-09-07 Hai Dang , Lukas Mecke , Florian Lehmann , Sven Goller , Daniel Buschek

The growing integration of AI tools in software development, particularly Large Language Models (LLMs) such as ChatGPT, has revolutionized how developers approach coding tasks. However, achieving high-quality code often requires iterative…

Software Engineering · Computer Science 2025-06-03 Sophia DiCuffa , Amanda Zambrana , Priyanshi Yadav , Sashidhar Madiraju , Khushi Suman , Eman Abdullah AlOmar

Generative AI, such as image generation models and large language models, stands to provide tremendous value to end-user programmers in creative and knowledge workflows. Current research methods struggle to engage end-users in a realistic…

Human-Computer Interaction · Computer Science 2023-12-29 Advait Sarkar , Ian Drosos , Rob Deline , Andrew D. Gordon , Carina Negreanu , Sean Rintel , Jack Williams , Benjamin Zorn

The use of generative AI (GenAI) tools has fundamentally transformed software development. Central to this shift is prompt engineering, the practice of crafting textual prompts to guide GenAI tools in generating useful content. Although…

Software Engineering · Computer Science 2026-01-26 Daniel Otten , Trevor Stalnaker , Nathan Wintersgill , Oscar Chaparro , Denys Poshyvanyk

Learning to use feature-rich software is a persistent challenge, but generative AI tools promise to lower this barrier by replacing complex navigation with natural language prompts. We investigated how people approach prompt-based tools for…

Human-Computer Interaction · Computer Science 2026-04-01 Kanak Gautam , Poorvi Bhatia , Parmit K. Chilana

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 modes are combined in practice, and how their usage varies…

As AI tools such as ChatGPT enter programming classrooms, students encounter differing rules across courses and instructors, which shape how they use AI and leave them with unequal capabilities for leveraging it. We investigate how students…

Human-Computer Interaction · Computer Science 2026-04-14 Tianyu Shao , Miguel Feijóo-García , Yi Zhang , Hugo Castellanos , Tawfiq Salem , Alejandra Magana , Tianyi Li

Programming students have a widespread access to powerful Generative AI tools like ChatGPT. While this can help understand the learning material and assist with exercises, educators are voicing more and more concerns about an overreliance…

Human-Computer Interaction · Computer Science 2025-02-24 Christian Rahe , Walid Maalej

Generative AI is changing the way developers interact with software systems, providing services that can produce and deliver new content, crafted to satisfy the actual needs of developers. For instance, developers can ask for new code…

Software Engineering · Computer Science 2024-02-15 Ionut Daniel Fagadau , Leonardo Mariani , Daniela Micucci , Oliviero Riganelli

When designing a program, both novice programmers and seasoned developers alike often sketch out -- or, perhaps more famously, whiteboard -- their ideas. Yet despite the introduction of natively multimodal Generative AI models, work on…

Computers and Society · Computer Science 2026-02-12 David H. Smith , S. Moonwara A. Monisha , Annapurna Vadaparty , Leo Porter , Daniel Zingaro

Generative AI for the creation of images is becoming a staple in the toolkit of digital artists and visual designers. The interaction with these systems is mediated by \emph{prompting}, a process in which users write a short text to…

Computers and Society · Computer Science 2024-02-20 Maddalena Torricelli , Mauro Martino , Andrea Baronchelli , Luca Maria Aiello

Large Language Models (LLMs) have upended decades of pedagogy in computing education. Students previously learned to code through \textit{writing} many small problems with less emphasis on code reading and comprehension. Recent research has…

Generative AI tools such as ChatGPT now provide novice programmers with unprecedented access to instant, personalized support. While this holds clear promise, their influence on students' metacognitive processes remains underexplored.…

Human-Computer Interaction · Computer Science 2025-11-07 Boxuan Ma , Huiyong Li , Gen Li , Li Chen , Cheng Tang , Yinjie Xie , Chenghao Gu , Atsushi Shimada , Shin'ichi Konomi

Automated code generation can be a powerful technique for software development, significantly reducing developers' efforts and time required to create new code by generating it automatically based on requirements. Recently, OpenAI's…

Software Engineering · Computer Science 2023-05-16 Chao Liu , Xuanlin Bao , Hongyu Zhang , Neng Zhang , Haibo Hu , Xiaohong Zhang , Meng Yan

Prompting is central to interaction with AI systems, yet many users struggle to explore alternative directions, articulate creative intent, or understand how variations in prompts shape model outputs. We introduce prompt recommender systems…

Human-Computer Interaction · Computer Science 2026-01-23 Jason Kim , Maria Teleki , James Caverlee

The new capabilities of generative artificial intelligence tools Generative AI, such as ChatGPT, allow users to interact with the system in intuitive ways, such as simple conversations, and receive (mostly) good-quality answers. These…

Human-Computer Interaction · Computer Science 2024-10-14 Matin Amoozadeh , Daye Nam , Daniel Prol , Ali Alfageeh , James Prather , Michael Hilton , Sruti Srinivasa Ragavan , Mohammad Amin Alipour
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