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相关论文: Students' Perceptions and Preferences of Generativ…

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The rise of Generative AI (GenAI) tools like ChatGPT has created new opportunities and challenges for computing education. Existing research has primarily focused on GenAI's ability to complete educational tasks and its impact on student…

软件工程 · 计算机科学 2025-11-18 Rufeng Chen , Shuaishuai Jiang , Jiyun Shen , AJung Moon , Lili Wei

Large Language Models (LLMs), such as ChatGPT, are reshaping content creation and academic writing. This study investigates the impact of AI-assisted generative revisions on research manuscripts, focusing on heterogeneous adoption patterns…

计算与语言 · 计算机科学 2025-04-21 Cong William Lin , Wu Zhu

Generative AI tools - most notably large language models (LLMs) like ChatGPT and Codex - are rapidly revolutionizing computer science education. These tools can generate, debug, and explain code, thereby transforming the landscape of…

计算机与社会 · 计算机科学 2025-07-04 Russell Beale

Background: Large language models (LLMs) such as ChatGPT are increasingly used in introductory programming courses to provide real-time code generation, debugging, and explanations. While these tools can boost productivity and code quality,…

软件工程 · 计算机科学 2025-10-02 Shiza Andleeb , Brandon Kantorski , Jeffrey C. Carver

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…

人机交互 · 计算机科学 2024-05-06 Wenhan Lyu , Yimeng Wang , Tingting , Chung , Yifan Sun , Yixuan Zhang

LLMs such as ChatGPT have been widely adopted by students in higher education as tools for learning programming and related concepts. However, it remains unclear how effective students are and what strategies students use while learning…

人机交互 · 计算机科学 2025-03-25 Aayush Kumar , Daniel Prol , Amin Alipour , Sruti Srinivasa Ragavan

We randomly deploy questions constructed with and without use of the LLM tool and gauge the ability of the students to correctly answer, as well as their ability to correctly perceive the difference between human-authored and LLM-authored…

计算机与社会 · 计算机科学 2025-03-26 Gavin Witsken , Igor Crk , Eren Gultepe

Timely formative feedback is considered as one of the most important drivers for effective learning. Delivering timely and individualized feedback is particularly challenging in large classes in higher education. Recently Large Language…

计算机与社会 · 计算机科学 2023-12-15 Imen Azaiz , Oliver Deckarm , Sven Strickroth

The increasing reliance on Large Language Models (LLMs) across various domains extends to education, where students progressively use generative AI as a tool for learning. While prior work has examined LLMs' mathematical ability, their…

计算与语言 · 计算机科学 2026-01-21 Wei-Ling Hsu , Yu-Chien Tang , An-Zi Yen

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…

人机交互 · 计算机科学 2026-02-25 Xinyi Lu , Kexin Phyllis Ju , Mitchell Dudley , Larissa Sano , Xu Wang

Large language models have not only captivated the public imagination but have also sparked a profound rethinking of how we learn. In the third year following the breakthrough launch of ChatGPT, everyday informal learning has been…

人机交互 · 计算机科学 2025-06-16 Nađa Terzimehić , Babette Bühler , Enkelejda Kasneci

Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a…

Generative AI is transforming higher education, yet systematic evidence on student adoption, usage patterns, and perceived learning impacts remains scarce. Using survey data from a selective U.S. college, we document rapid generative-AI…

综合经济学 · 经济学 2026-04-17 Zara Contractor , Germán Reyes

ChatGPT is an AI language model developed by OpenAI that can understand and generate human-like text. It can be used for a variety of use cases such as language generation, question answering, text summarization, chatbot development,…

Large Language Models (LLMs) have proven immensely beneficial in education by capturing vast amounts of literature-based information, allowing them to generate context without relying on external sources. In this paper, we propose a…

信息检索 · 计算机科学 2025-07-03 Umar Ali Khan , Ekram Khan , Fiza Khan , Athar Ali Moinuddin

Large Language Models (LLMs) have taken the world by storm, and students are assumed to use related tools at a great scale. In this research paper we aim to gain an understanding of how introductory programming students chat with LLMs and…

人工智能 · 计算机科学 2024-05-30 Andreas Scholl , Daniel Schiffner , Natalie Kiesler

In recent years, large language models (LLMs) and generative AI have revolutionized natural language processing (NLP), offering unprecedented capabilities in education. This chapter explores the transformative potential of LLMs in automated…

计算与语言 · 计算机科学 2024-10-15 Subhankar Maity , Aniket Deroy

This paper explores the development and adoption of AI-based formative feedback in the context of biweekly reports in an engineering Capstone program. Each student is required to write a short report detailing their individual…

计算机与社会 · 计算机科学 2025-12-18 Tiago Fernandes Tavares , Luciano Pereira Soares

The advent of generative AI models holds tremendous potential for aiding teachers in the generation of pedagogical materials. However, numerous knowledge gaps concerning the behavior of these models obfuscate the generation of…

计算机与社会 · 计算机科学 2024-07-16 Alex Dornburg , Kristin Davin

This research investigates distinct human-generative AI collaboration types and students' interaction experiences when collaborating with generative AI (i.e., ChatGPT) for problem-solving tasks and how these factors relate to students'…

人机交互 · 计算机科学 2024-05-24 Gaoxia Zhu , Vidya Sudarshan , Jason Fok Kow , Yew Soon Ong