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Prior research shows that how students engage with Large Language Models (LLMs) influences their problem-solving and understanding, reinforcing the need to support productive LLM-uses that promote learning. This study evaluates the impact…

Computers and Society · Computer Science 2025-08-25 Jerome Brender , Laila El-Hamamsy , Kim Uittenhove , Francesco Mondada , Engin Bumbacher

The use of large language model (LLM)-powered chatbots, such as ChatGPT, has become popular across various domains, supporting a range of tasks and processes. However, due to the intrinsic complexity of LLMs, effective prompting is more…

The rapid development of large language models is transforming software development. Beyond serving as code auto-completion tools in integrated development environments, large language models increasingly function as foundation models…

Software Engineering · Computer Science 2026-01-26 Junjie Shi , Weisong Sun , Zhenpeng Chen , Zhujun Wu , Xiaohong Chen , Zhi Jin , Yang Liu

Generative AI systems such as ChatGPT challenge traditional assumptions about academic assessment by enabling students to generate explanations, code, and solutions in real time. Rather than attempting to restrict AI use, this study…

Computers and Society · Computer Science 2026-05-13 Qusay H. Mahmoud

Large Language Models (LLMs), such as ChatGPT, exhibit advanced capabilities in generating text, images, and videos. However, their effective use remains constrained by challenges in prompt formulation, personalization, and opaque…

Human-Computer Interaction · Computer Science 2025-03-04 Si Thu , A. Baki Kocaballi

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 approaches tend to rely on prompt engineering techniques in…

Computers and Society · Computer Science 2025-09-16 Victor-Alexandru Pădurean , Tung Phung , Nachiket Kotalwar , Michael Liut , Juho Leinonen , Paul Denny , Adish Singla

Computational thinking, and by extension, computer programming, is notoriously challenging to learn. Conversational agents and generative artificial intelligence (genAI) have the potential to facilitate this learning process by offering…

Human-Computer Interaction · Computer Science 2024-06-17 Jacob Penney , João Felipe Pimentel , Igor Steinmacher , Marco A. Gerosa

ChatGPT is a state-of-the-art (SOTA) chatbot. Although it has potential to support English as a foreign language (EFL) students' writing, to effectively collaborate with it, a student must learn to engineer prompts, that is, the skill of…

Human-Computer Interaction · Computer Science 2025-06-05 David James Woo , Kai Guo , Hengky Susanto

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

Pre-trained language models (LLMs) such as GPT-3 can carry fluent, multi-turn conversations out-of-the-box, making them attractive materials for chatbot design. Further, designers can improve LLM chatbot utterances by prepending textual…

Human-Computer Interaction · Computer Science 2023-02-08 J. D. Zamfirescu-Pereira , Bjoern Hartmann , Qian Yang

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

Artificial intelligence (AI) tutors have become increasingly popular in learning environments. In this study, we propose an AI agent prototype framework for exploring AI-assisted learning with temporal interaction patterns, multiple…

Computers and Society · Computer Science 2026-04-21 Yiyao Yang , Yasemin Gulbahar

In the era of exponential technology growth, one unexpected guest has claimed a seat in classrooms worldwide, Artificial Intelligence. Generative AI, such as ChatGPT, promises a revolution in education, yet it arrives with a double-edged…

Computers and Society · Computer Science 2024-05-20 Harris Bin Munawar , Nikolaos Misirlis

AI tools, particularly large-scale language model (LLM) based applications such as ChatGPT, have the potential to simplify qualitative research. Through semi-structured interviews with seventeen participants, we identified challenges and…

Human-Computer Interaction · Computer Science 2025-05-14 He Zhang , Chuhao Wu , Jingyi Xie , Yao Lyu , Jie Cai , John M. Carroll

Despite growing interest in using LLMs to generate feedback on students' writing, little is known about how students respond to AI-mediated versus human-provided feedback. We address this gap through a randomized controlled trial in a large…

Human-Computer Interaction · Computer Science 2026-02-25 Xinyi Lu , Kexin Phyllis Ju , Mitchell Dudley , Larissa Sano , Xu Wang

Prompting method is regarded as one of the crucial progress for few-shot nature language processing. Recent research on prompting moves from discrete tokens based ``hard prompts'' to continuous ``soft prompts'', which employ learnable…

Computation and Language · Computer Science 2023-02-06 Yutai Hou , Hongyuan Dong , Xinghao Wang , Bohan Li , Wanxiang Che

The rapid adoption of AI powered coding assistants like ChatGPT and other coding copilots is transforming programming education, raising questions about assessment practices, academic integrity, and skill development. As educators seek…

Computers and Society · Computer Science 2025-05-29 Santiago Berrezueta-Guzman , Stephan Krusche , Stefan Wagner

AI-powered coding assistants can support students in programming courses by providing on-demand explanations and debugging help. However, existing research often focuses on individual tools, leaving a gap in evidence-based design…

Human-Computer Interaction · Computer Science 2026-03-25 Boxuan Ma , Yinjie Xie , Huiyong Li , Gen Li , Li Chen , Atsushi Shimada , Shin'Ichi Konomi

The integration of large language models (LLMs) into computing education offers many potential benefits to student learning, and several novel pedagogical approaches have been reported in the literature. However LLMs also present…

Computers and Society · Computer Science 2024-12-13 Shuying Qiao , Paul Denny , Nasser Giacaman
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