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This research paper contributes to the computing education research community's understanding of Generative AI (GenAI) in the context of introductory programming, and specifically, how students utilize related tools, such as ChatGPT. An…

人工智能 · 计算机科学 2024-07-31 Andreas Scholl , Natalie Kiesler

This paper reports a survey of generative AI use among 83 MBA thesis students in Japan (target population 230; 36.1% response rate), conducted after thesis examiner evaluation. AI use was nearly universal: 95.2% reported at least some use…

计算机与社会 · 计算机科学 2026-04-06 Kenji Saito , Rei Tajika , Satoru Shibuya , Hiroshi Kanno

Generative AI (GenAI) systems offer unprecedented opportunities for transforming professional and personal work, yet present challenges around prompting, evaluating and relying on outputs, and optimizing workflows. We argue that…

Generative AI systems such as ChatGPT have a disruptive effect on learning and assessment. Computer science requires practice to develop skills in problem solving and programming that are traditionally developed using assignments.…

计算机与社会 · 计算机科学 2023-11-29 Kevin Wang , Seth Akins , Abdallah Mohammed , Ramon Lawrence

Computer programming is undergoing a true transformation driven by powerful new tools for automatic source code generation based on large language models. This transformation is also manifesting in introductory programming courses at…

计算机与社会 · 计算机科学 2025-07-02 Clemente Rubio-Manzano , Jazna Meza , Rodolfo Fernandez-Santibanez , Christian Vidal-Castro

The advancements in Generative Artificial Intelligence (GenAI) provide opportunities to enrich educational experiences, but also raise concerns about academic integrity. Many educators have expressed anxiety and hesitation in integrating…

计算与语言 · 计算机科学 2024-07-15 Hui Wang , Anh Dang , Zihao Wu , Son Mac

Integrating Generative AI (GenAI) into educational contexts presents a transformative potential for enhancing learning experiences. This paper introduces CourseGPT, a generative AI tool designed to support instructors and enhance the…

计算机与社会 · 计算机科学 2024-12-25 Ahmad M. Nazar , Mohamed Y. Selim , Ashraf Gaffar , Shakil Ahmed

The rise of Generative AI (GenAI) is reshaping how workers contribute to shared projects. While workers can use GenAI to boost productivity or reduce effort, managers may use it to replace some workers entirely. We present a theoretical…

计算机科学与博弈论 · 计算机科学 2025-08-29 Boaz Taitler , Omer Ben-Porat

Generative AI (GenAI), which aims to synthesize realistic and diverse data samples from latent variables or other data modalities, has achieved remarkable results in various domains, such as natural language, images, audio, and graphs.…

机器学习 · 计算机科学 2024-08-02 Shiji Zhou , Lianzhe Wang , Jiangnan Ye , Yongliang Wu , Heng Chang

Education is being transformed by rapid advances in Artificial Intelligence (AI), including emerging Generative Artificial Intelligence (GAI). Such technology can significantly support academics and students by automating monotonous tasks…

计算机与社会 · 计算机科学 2024-11-15 Wasiq Khan , Luke K. Topham , Peter Atherton , Raghad Al-Shabandar , Hoshang Kolivand , Iftikhar Khan , Abir Hussain

The rapid advancement of generative AI technology, particularly video generative AI (Video GenAI), has opened new possibilities for K-12 education by enabling the creation of dynamic, customized, and high-quality visual content. Despite its…

计算机与社会 · 计算机科学 2025-03-12 Unggi Lee , Yeil Jeong , Seungha Kim , Yoorim Son , Gyuri Byun , Hyeoncheol Kim , Cheolil Lim

Test Driven Development (TDD) is one of the major practices of Extreme Programming for which incremental testing and refactoring trigger the code development. TDD has limited adoption in the industry, as it requires more code to be…

软件工程 · 计算机科学 2025-01-15 Moritz Mock , Jorge Melegati , Barbara Russo

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…

Generative AI (GenAI), especially Large Language Models (LLMs), is rapidly reshaping both programming workflows and computer science education. Many programmers now incorporate GenAI tools into their workflows, including for collaborative…

人机交互 · 计算机科学 2025-05-14 Wenhan Lyu , Yimeng Wang , Yifan Sun , Yixuan Zhang

A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about the potential of new technologies to offer a personal tutor…

Generative AI (GenAI) has brought opportunities and challenges for higher education as it integrates into teaching and learning environments. As instructors navigate this new landscape, understanding their engagement with and attitudes…

人机交互 · 计算机科学 2025-02-11 Wenhan Lyu , Shuang Zhang , Tingting , Chung , Yifan Sun , Yixuan Zhang

Generative AI is reshaping higher education, yet research has focused largely on students, while instructors remain understudied despite their central role in mediating adoption and modeling responsible use. We present the \textit{AI…

人机交互 · 计算机科学 2025-09-24 Si Chen , Xiuxiu Tang , Alison Cheng , Nitesh Chawla , G. Alex Ambrose , Ronald Metoyer

As generative AI (GenAI) tools are increasingly used as informal tutors for mathematics learning, future systems may become more proactive and process-aware in deciding when and how to offer support. Yet such support raises an important…

人机交互 · 计算机科学 2026-05-05 Jane Hanqi Li , Yuhong Zhang , Jiaqi Liu , Tzyy-Ping Jung , Amy Eguchi

There has been a growing trend in employing generative artificial intelligence (GenAI) techniques to support learning. Moreover, scholars have reached a consensus on the critical role of self-regulated learning (SRL) in ensuring learning…

计算机与社会 · 计算机科学 2026-01-27 Jie Gao , Shasha Li , Jianhua Zhang , Shan Li , Tingting Wang

What does it mean for a generative AI model to be explainable? The emergent discipline of explainable AI (XAI) has made great strides in helping people understand discriminative models. Less attention has been paid to generative models that…