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Generative AI models, specifically large language models (LLMs), have made strides towards the long-standing goal of text-to-code generation. This progress has invited numerous studies of user interaction. However, less is known about the…

Human-Computer Interaction · Computer Science 2024-07-09 Sydney Nguyen , Hannah McLean Babe , Yangtian Zi , Arjun Guha , Carolyn Jane Anderson , Molly Q Feldman

Personal development through self-directed learning is essential in today's fast-changing world, but many learners struggle to manage it effectively. While AI tools like large language models (LLMs) have the potential for personalized…

Human-Computer Interaction · Computer Science 2025-04-18 Jiwon Chun , Yankun Zhao , Hanlin Chen , Meng Xia

Large Language Models (LLMs) have demonstrated their remarkable capabilities in numerous fields. This survey focuses on how LLMs empower users, regardless of their technical background, to use human languages to automatically generate…

Software Engineering · Computer Science 2025-04-03 Nam Huynh , Beiyu Lin

Parsons problems (PPs) have shown promise in structured problem solving by providing scaffolding that decomposes the problem and requires learners to reconstruct the solution. However, some students face difficulties when first learning…

Human-Computer Interaction · Computer Science 2025-05-09 Sutapa Dey Tithi , Xiaoyi Tian , Min Chi , Tiffany Barnes

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

The advent of Large Language Models (LLMs) is reshaping education, particularly in programming, by enhancing problem-solving, enabling personalized feedback, and supporting adaptive learning. Existing AI tools for programming education…

Human-Computer Interaction · Computer Science 2025-03-18 Raj Gupta , Harshita Goyal , Dhruv Kumar , Apurv Mehra , Sanchit Sharma , Kashish Mittal , Jagat Sesh Challa

Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation. In this paper, we explore the potential of using Large Language Models (LLMs) to author Intelligent…

Computation and Language · Computer Science 2024-04-26 Sankalan Pal Chowdhury , Vilém Zouhar , Mrinmaya Sachan

Large language models (LLMs) are increasingly embedded in Computer Science (CS) classrooms to automate code generation, feedback, and assessment. However, their susceptibility to adversarial or ill-intentioned prompts threatens student…

Computers and Society · Computer Science 2026-02-04 Nishat Raihan , Noah Erdachew , Jayoti Devi , Joanna C. S. Santos , Marcos Zampieri

Large pre-trained language models such as GPT-3, Codex, and Google's language model are now capable of generating code from natural language specifications of programmer intent. We view these developments with a mixture of optimism and…

Software Engineering · Computer Science 2021-12-07 Naman Jain , Skanda Vaidyanath , Arun Iyer , Nagarajan Natarajan , Suresh Parthasarathy , Sriram Rajamani , Rahul Sharma

Formative assessment is a cornerstone of effective teaching and learning, providing students with feedback to guide their learning. While there has been an exponential growth in the application of generative AI in scaling various aspects of…

Computers and Society · Computer Science 2025-06-03 Sapolnach Prompiengchai , Charith Narreddy , Steve Joordens

The evolution of LLM has resulted in coding-focused models that are able to produce code snippets with high accuracy. More and more AI coding assistant tools are now available, leading to greater integration of AI coding assistants into…

Software Engineering · Computer Science 2026-04-14 Neha Rani , Jeevan Ram Munnangi , Austin Matthew Spangler , Donald Honeycutt

Large Language Model (LLM) assistants, such as ChatGPT, have emerged as potential alternatives to search methods for helping users navigate complex, feature-rich software. LLMs use vast training data from domain-specific texts, software…

Human-Computer Interaction · Computer Science 2024-02-14 Anjali Khurana , Hari Subramonyam , Parmit K Chilana

Large Language Models (LLMs) have achieved remarkable performance across various reasoning tasks, yet post-training is constrained by inefficient sample utilization and inflexible difficulty samples processing. To address these limitations,…

The recent, widespread availability of Large Language Models (LLMs) like ChatGPT and GitHub Copilot may impact introductory programming courses (CS1) both in terms of what should be taught and how to teach it. Indeed, recent research has…

Computers and Society · Computer Science 2024-06-25 Annapurna Vadaparty , Daniel Zingaro , David H. Smith , Mounika Padala , Christine Alvarado , Jamie Gorson Benario , Leo Porter

Intelligent Tutoring Systems (ITSs) have shown great potential in delivering personalized and adaptive education, but their widespread adoption has been hindered by the need for specialized programming and design skills. Existing approaches…

Human-Computer Interaction · Computer Science 2024-05-24 Tommaso Calo , Christopher J. MacLellan

Deaf and Hard of Hearing (DHH) learners face unique challenges in learning environments, often due to a lack of tailored educational materials that address their specific needs. This study explores the potential of Large Language Models…

Human-Computer Interaction · Computer Science 2024-10-02 Si Cheng , Shuxu Huffman , Qingxiaoyang Zhu , Haotian Su , Raja Kushalnagar , Qi Wang

Computer programming (coding) is indispensable for researchers across disciplines, yet it remains challenging to learn and time-consuming to carry out. Generative AI, particularly large language models (LLMs), has the potential to transform…

Computers and Society · Computer Science 2024-11-19 Tonghe Zhuang , Zhicheng Lin

In this work, we explore explicit Large Language Model (LLM)-powered support for the iterative design of computer programs. Program design, like other design activity, is characterized by navigating a space of alternative problem…

Human-Computer Interaction · Computer Science 2025-03-11 J. D. Zamfirescu-Pereira , Eunice Jun , Michael Terry , Qian Yang , Björn Hartmann

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

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…

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