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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

Generative AI (GAI) tools have seen rapid adoption in educational settings, yet their role in fostering critical thinking remains underexplored. While previous studies have examined GAI as a tutor for specific lessons or as a tool for…

Computers and Society · Computer Science 2025-09-10 W. F. Lamberti , S. R. Lawrence , D. White , S. Kim , S. Abdullah

As an increasing number of students move to online learning platforms that deliver personalized learning experiences, there is a great need for the production of high-quality educational content. Large language models (LLMs) appear to offer…

Human-Computer Interaction · Computer Science 2023-07-04 Paul Denny , Hassan Khosravi , Arto Hellas , Juho Leinonen , Sami Sarsa

Effective prompt engineering is critical to realizing the promised productivity gains of large language models (LLMs) in knowledge-intensive tasks. Yet, many users struggle to craft prompts that yield high-quality outputs, limiting the…

Human-Computer Interaction · Computer Science 2025-10-02 Niklas Gutheil , Valentin Mayer , Leopold Müller , Jörg Rommelt , Niklas Kühl

Multiple choice questions (MCQs) are a popular method for evaluating students' knowledge due to their efficiency in administration and grading. Crafting high-quality math MCQs is a labor-intensive process that requires educators to…

Computation and Language · Computer Science 2024-05-03 Jaewook Lee , Digory Smith , Simon Woodhead , Andrew Lan

Generative AI, with its tendency to "hallucinate" incorrect results, may pose a risk to knowledge work by introducing errors. On the other hand, it may also provide unprecedented opportunities for users, particularly non-experts, to learn…

Human-Computer Interaction · Computer Science 2024-12-20 Advait Sarkar , Xiaotong , Xu , Neil Toronto , Ian Drosos , Christian Poelitz

Context: The rapid adoption of AI-assisted code generation tools, such as large language models (LLMs), is transforming software development practices. While these tools promise significant productivity gains, concerns regarding the…

Software Engineering · Computer Science 2026-03-27 Vehid Geruslu , Zulfiyya Aliyeva , Eray Tüzün

As AI-powered code generation tools such as GitHub Copilot become popular, it is crucial to understand software developers' trust in AI tools -- a key factor for tool adoption and responsible usage. However, we know little about how…

Human-Computer Interaction · Computer Science 2024-05-29 Ruotong Wang , Ruijia Cheng , Denae Ford , Thomas Zimmermann

As generative AI (GenAI) tools become easily accessible, there is promise in using such tools to support instructors. To that end, this paper examines using GenAI to help generate slides from instructor authored course notes, emphasizing…

Artificial Intelligence · Computer Science 2026-05-14 Juho Leinonen , Lisa Zhang , Arto Hellas

Generative AI (GenAI) tools are radically expanding the scope and capability of automation in knowledge work such as academic research. While promising for augmenting cognition and streamlining processes, AI-assisted research tools may also…

Human-Computer Interaction · Computer Science 2025-04-22 Runlong Ye , Matthew Varona , Oliver Huang , Patrick Yung Kang Lee , Michael Liut , Carolina Nobre

Grading project reports are increasingly significant in today's educational landscape, where they serve as key assessments of students' comprehensive problem-solving abilities. However, it remains challenging due to the multifaceted…

Human-Computer Interaction · Computer Science 2025-08-19 Zixin Chen , Jiachen Wang , Yumeng Li , Haobo Li , Chuhan Shi , Rong Zhang , Huamin Qu

This paper surveys the use of Generative AI tools, such as ChatGPT and Claude, in computer science education, focusing on key aspects of accuracy, authenticity, and assessment. Through a literature review, we highlight both the challenges…

Computers and Society · Computer Science 2025-07-17 Iman Reihanian , Yunfei Hou , Yu Chen , Yifei Zheng

As artificial intelligence (AI) continues to evolve from a back-end computational tool into an interactive, generative collaborator, its integration into early-stage design processes demands a rethinking of traditional workflows in…

Human-Computer Interaction · Computer Science 2025-07-25 Zhangqi Liu

As generative AI becomes embedded in higher education, it increasingly shapes how students complete academic tasks. While these systems offer efficiency and support, concerns persist regarding over-automation, diminished student agency, and…

Human-Computer Interaction · Computer Science 2026-03-16 Nifu Dan

AI and generative AI tools, including chatbots like ChatGPT that rely on large language models (LLMs), have burst onto the scene this year, creating incredible opportunities to increase work productivity and improve our lives. Statisticians…

Computation and Language · Computer Science 2024-03-27 Mark Glickman , Yi Zhang

Collaboration has been shown to enhance creativity, leading to more innovative and effective outcomes. While previous research has explored the abilities of Large Language Models (LLMs) to serve as co-creative partners in tasks like writing…

Human-Computer Interaction · Computer Science 2025-01-24 Zhikun Wu , Thomas Weber , Florian Müller

The integration of AI assistants, especially through the development of Large Language Models (LLMs), into computer science education has sparked significant debate. An emerging body of work has looked into using LLMs in education, but few…

Human-Computer Interaction · Computer Science 2024-05-06 Wenhan Lyu , Yimeng Wang , Tingting , Chung , Yifan Sun , Yixuan Zhang

Help-seeking is a critical way for students to learn new concepts, acquire new skills, and get unstuck when problem-solving in their computing courses. The recent proliferation of generative AI tools, such as ChatGPT, offers students a new…

Human-Computer Interaction · Computer Science 2024-01-05 Irene Hou , Sophia Metille , Zhuo Li , Owen Man , Cynthia Zastudil , Stephen MacNeil

Generative AI is increasing the productivity of software and hardware development across many application domains. In this work, we utilize the power of Large Language Models (LLMs) to develop a co-pilot agent for assisting gem5 users with…

Hardware Architecture · Computer Science 2025-10-23 Zuoming Fu , Alex Manley , Mohammad Alian

Evaluation of large language model (LLM) outputs requires users to make critical judgments about the best outputs across various configurations. This process is costly and takes time given the large amounts of data. LLMs are increasingly…