中文
相关论文

相关论文: Patterns of Student Help-Seeking When Using a Larg…

200 篇论文

Large Language Models (LLMs) have emerged as coding assistants, capable of generating source code from natural language prompts. With the increasing adoption of LLMs in software development, academic research and industry based projects are…

Large language models (LLMs) are becoming increasingly embedded in students' learning practices, yet much of what is known about how students use LLMs and how this usage impacts learning comes from problem-solving domains or constrained…

人机交互 · 计算机科学 2026-05-07 Minju Park , Ivan Orozco Vasquez , Cristina Conati

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…

The dream of achieving a student-teacher ratio of 1:1 is closer than ever thanks to the emergence of large language models (LLMs). One potential application of these models in the educational field would be to provide feedback to students…

计算机与社会 · 计算机科学 2025-05-06 Marc Ballestero-Ribó , Daniel Ortiz-Martínez

Using large language models (LLMs) for automatic evaluation has become an important evaluation method in NLP research. However, it is unclear whether these LLM-based evaluators can be applied in real-world classrooms to assess student…

计算与语言 · 计算机科学 2024-09-24 Cheng-Han Chiang , Wei-Chih Chen , Chun-Yi Kuan , Chienchou Yang , Hung-yi Lee

Large Language Models (LLMs) are becoming ubiquitous to create intelligent virtual assistants that assist users in interacting with a system, as exemplified in marketing. Although LLMs have been discussed in Modeling & Simulation (M&S), the…

人机交互 · 计算机科学 2024-09-25 Philippe J. Giabbanelli , Jose J. Padilla , Ameeta Agrawal

Prior research has raised concerns about students' over-reliance on large language models (LLMs) in higher education. This paper examines how Computer Science students and instructors engage with LLMs across five scenarios: "Writing",…

人机交互 · 计算机科学 2026-02-06 Xinrui Lin , Heyan Huang , Shumin Shi , John Vines

The rapid advancement of Large Language Models (LLMs) has opened new avenues in education. This study examines the use of LLMs in supporting learning in machine learning education; in particular, it focuses on the ability of LLMs to…

计算机与社会 · 计算机科学 2025-05-27 Smitha Kumar , Michael A. Lones , Manuel Maarek , Hind Zantout

Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and…

人机交互 · 计算机科学 2024-04-10 M. Namvarpour , A. Razi

Personalized chatbot-based teaching assistants can be crucial in addressing increasing classroom sizes, especially where direct teacher presence is limited. Large language models (LLMs) offer a promising avenue, with increasing research…

The rapid advancement of Large Language Models (LLMs) is reshaping software engineering by profoundly influencing coding, documentation, and system maintenance practices. As these tools become deeply embedded in developers' daily workflows,…

软件工程 · 计算机科学 2025-12-29 Vítor Mateus de Brito , Kleinner Farias

The increasing complexity of software systems has driven significant advancements in program analysis, as traditional methods unable to meet the demands of modern software development. To address these limitations, deep learning techniques,…

软件工程 · 计算机科学 2025-02-27 Jiayimei Wang , Tao Ni , Wei-Bin Lee , Qingchuan Zhao

Online education platforms, leveraging the internet to distribute education resources, seek to provide convenient education but often fall short in real-time communication with students. They often struggle to address the diverse obstacles…

人工智能 · 计算机科学 2024-04-29 Qingyao Li , Lingyue Fu , Weiming Zhang , Xianyu Chen , Jingwei Yu , Wei Xia , Weinan Zhang , Ruiming Tang , Yong Yu

The rapid emergence of Large Language Models (LLMs) presents both opportunities and challenges for programming education. While students increasingly use generative AI tools, direct access often hinders the learning process by providing…

人工智能 · 计算机科学 2026-03-31 Thomas Van Mullem , Bart Mesuere , Peter Dawyndt

Recent studies have uncovered the potential of Large Language Models (LLMs) in addressing complex sequential decision-making tasks through the provision of high-level instructions. However, LLM-based agents lack specialization in tackling…

人工智能 · 计算机科学 2024-05-28 Zihao Zhou , Bin Hu , Chenyang Zhao , Pu Zhang , Bin Liu

Large Language Model (LLM) agents significantly extend the capabilities of standalone LLMs, empowering them to interact with external tools (e.g., APIs, functions) and complete various tasks in a self-directed fashion. The challenge of tool…

人工智能 · 计算机科学 2024-02-19 Weizhou Shen , Chenliang Li , Hongzhan Chen , Ming Yan , Xiaojun Quan , Hehong Chen , Ji Zhang , Fei Huang

The advent of Large Language Models (LLMs) started a serious discussion among educators on how LLMs would affect, e.g., curricula, assessments, and students' competencies. Generative AI and LLMs also raised ethical questions and concerns…

计算机与社会 · 计算机科学 2024-06-19 Virginia Grande , Natalie Kiesler , Maria Andreina Francisco R

With the proliferation of large language model (LLM) applications since 2022, their use in education has sparked both excitement and concern. Recent studies consistently highlight students' (mis)use of LLMs can hinder learning outcomes.…

人机交互 · 计算机科学 2025-07-01 Ruiwei Xiao , Xinying Hou , Runlong Ye , Majeed Kazemitabaar , Nicholas Diana , Michael Liut , John Stamper

Large Language Models (LLMs), such as GitHub Copilot and ChatGPT have become popular among programming students. Students use LLMs to assist them in programming courses, including generating source code. Previous work has evaluated the…

人工智能 · 计算机科学 2025-04-22 Emir Catir , Robin Claesson , Rodothea Myrsini Tsoupidi

Large Language Models (LLMs) have been widely applied to student-facing educational tools, this work explores their use in supporting instructors by presenting a practical adaptation of the Framework for Adaptive Content using Educational…

人机交互 · 计算机科学 2026-05-01 Franco Ortiz , Runlong Ye , Michael Liut