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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…

人机交互 · 计算机科学 2024-01-05 Irene Hou , Sophia Metille , Zhuo Li , Owen Man , Cynthia Zastudil , Stephen MacNeil

How students utilize immediate tutoring feedback in programming education depends on various factors. Among them are the feedback quality, but also students' engagement, i.e., their perception, interpretation, and use of feedback. However,…

计算机与社会 · 计算机科学 2025-11-19 Sven Jacobs , Jan Haas , Natalie Kiesler

Generative Artificial Intelligence (GenAI) tools for source code generation have significantly boosted productivity in software development. However, they also raise concerns, particularly the risk that developers may rely heavily on these…

软件工程 · 计算机科学 2025-07-14 Otávio Cury , Guilherme Avelino

Code review is central to software engineering education but hard to scale in capstone projects due to tight deadlines, uneven peer feedback, and limited prior experience. We investigate an LLM-as-reviewer integrated directly into GitHub…

软件工程 · 计算机科学 2026-04-28 Eduardo Oliveira , Michael Fu , Patanamon Thongtanunam , Sonsoles López-Pernas , Mohammed Saqr

Generative AI is reshaping higher education programming through vibe coding, where students collaborate with AI via natural language rather than writing code line-by-line. We conceptualize this practice as help-seeking, analyzing 19,418…

Developing problem-solving competency is central to Science, Technology, Engineering, and Mathematics (STEM) education, yet translating this priority into effective approaches to problem-solving instruction and assessment remain a…

物理教育 · 物理学 2024-12-04 Karen D. Wang , Zhangyang Wu , L'Nard Tufts , Carl Wieman , Shima Salehi , Nick Haber

Generative Artificial Intelligence (GenAI) tools have become increasingly prevalent in software development, offering assistance to various managerial and technical project activities. Notable examples of these tools include OpenAIs…

AI code generators like OpenAI Codex have the potential to assist novice programmers by generating code from natural language descriptions, however, over-reliance might negatively impact learning and retention. To explore the implications…

人机交互 · 计算机科学 2023-02-22 Majeed Kazemitabaar , Justin Chow , Carl Ka To Ma , Barbara J. Ericson , David Weintrop , Tovi Grossman

GenAI has a potential to enhance the learning and teaching processes in engineering education. For instance, GenAI feedback on students' task performance can be effective depending on when such feedback is provided. However, little is known…

计算机与社会 · 计算机科学 2026-03-17 Kadir Kozan , Ozgur Keles , Sihan Jian , Serkan Ayvaz , Krzysztof Sierszecki , Sewon Joo

Instructor's feedback plays a critical role in students' development of conceptual understanding and reasoning skills. However, grading student written responses and providing personalized feedback can take a substantial amount of time. In…

物理教育 · 物理学 2024-06-17 Tong Wan , Zhongzhou Chen

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…

软件工程 · 计算机科学 2026-01-26 Daniel Otten , Trevor Stalnaker , Nathan Wintersgill , Oscar Chaparro , Denys Poshyvanyk

GitHub's Copilot for Pull Requests (PRs) is a promising service aiming to automate various developer tasks related to PRs, such as generating summaries of changes or providing complete walkthroughs with links to the relevant code. As this…

软件工程 · 计算机科学 2024-02-15 Tao Xiao , Hideaki Hata , Christoph Treude , Kenichi Matsumoto

GitHub's Copilot generates code quickly. We investigate whether it generates good code. Our approach is to identify a set of problems, ask Copilot to generate solutions, and attempt to formally verify these solutions with Dafny. Our formal…

软件工程 · 计算机科学 2022-10-28 Dakota Wong , Austin Kothig , Patrick Lam

Although tension between university curricula and industry expectations has existed in some form for decades, the rapid integration of generative AI (GenAI) tools into software development has recently widened the gap between the two…

In this study, I explored the impact of Generative AI on learning efficacy in academic reading materials using experimental methods. College-educated participants engaged in three cycles of reading and writing tasks. After each cycle, they…

计算机与社会 · 计算机科学 2023-11-13 Qirui Ju

Generative AI (GenAI) has introduced myriad opportunities and challenges for higher education. Anticipating this potential transformation requires understanding students' contextualised practices and norms around GenAI. We conducted…

人机交互 · 计算机科学 2025-01-16 Auste Simkute , Viktor Kewenig , Abigail Sellen , Sean Rintel , Lev Tankelevitch

This paper estimates the effect of Generative AI (GenAI) adoption on scientific productivity and quality in the social and behavioral sciences. Using matched author-level panel data and a difference-in-differences design, we find that GenAI…

综合经济学 · 经济学 2025-10-06 Dragan Filimonovic , Christian Rutzer , Conny Wunsch

The rapid development of generative artificial intelligence (GenAI) tools such as ChatGPT has intensified interest in their role in higher education, particularly in how students perceive and use them and how these perceptions may relate to…

计算机与社会 · 计算机科学 2026-03-20 Seyma Yaman Kayadibi

Timely, personalized feedback is essential for students learning programming. LLM-powered tools like ChatGPT offer instant support, but reveal direct answers with code, which may hinder deep conceptual engagement. We developed CodeAid, an…

Modern code generation tools utilizing AI models like Large Language Models (LLMs) have gained increased popularity due to their ability to produce functional code. However, their usage presents security challenges, often resulting in…

软件工程 · 计算机科学 2025-02-07 Yujia Fu , Peng Liang , Amjed Tahir , Zengyang Li , Mojtaba Shahin , Jiaxin Yu , Jinfu Chen