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Ever since the emergence of large language models (LLMs) and related applications, such as ChatGPT, its performance and error analysis for programming tasks have been subject to research. In this work-in-progress paper, we explore the…

人工智能 · 计算机科学 2023-09-04 Natalie Kiesler , Dominic Lohr , Hieke Keuning

Reciprocal questioning is essential for effective teaching and learning, fostering active engagement and deeper understanding through collaborative interactions, especially in large classrooms. Can large language model (LLM), such as…

计算机与社会 · 计算机科学 2023-11-28 Chee Wei Tan

Effectively supporting students in mastering all facets of self-regulated learning is a central aim of teachers and educational researchers. Prior research could demonstrate that formative feedback is an effective way to support students…

物理教育 · 物理学 2024-12-31 Steffen Steinert , Karina E. Avila , Stefan Ruzika , Jochen Kuhn , Stefan Küchemann

Open-ended questions are a favored tool among instructors for assessing student understanding and encouraging critical exploration of course material. Providing feedback for such responses is a time-consuming task that can lead to…

计算机与社会 · 计算机科学 2023-08-07 Jordan K. Matelsky , Felipe Parodi , Tony Liu , Richard D. Lange , Konrad P. Kording

Traditional end-of-quarter surveys often fail to provide instructors with timely, detailed, and actionable feedback about their teaching. In this paper, we explore how Large Language Model (LLM)-powered chatbots can reimagine the classroom…

计算机与社会 · 计算机科学 2025-08-19 Sai Siddartha Maram , Ulia Zaman , Magy Seif El-Nasr

English as a Foreign Language (EFL) students often struggle to deliver oral presentations due to a lack of reliable resources and the limited effectiveness of instructors' feedback. Large Language Model (LLM) can offer new possibilities to…

人机交互 · 计算机科学 2024-07-11 Jungyoub Cha , Jieun Han , Haneul Yoo , Alice Oh

The flipped classroom has become famous as an effective educational method that flips the purpose of classroom study and homework. In this paper, we propose a video learning system for flipped classrooms, called Response Collector, which…

计算机与社会 · 计算机科学 2018-12-12 Hayato Okumoto , Mitsuo Yoshida , Kyoji Umemura , Yuko Ichikawa

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

As a way of addressing increasingly sophisticated problems, software professionals face the constant challenge of seeking improvement. However, for these individuals to enhance their skills, their process of studying and training must…

Large language models have been widely applied in many aspects of real life, bringing significant efficiency to businesses and offering distinctive user experiences. In this paper, we focus on exploring the application of ChatGPT, a chatbot…

计算机与社会 · 计算机科学 2025-07-31 Sinh Trong Vu , Huong Thu Truong , Oanh Tien Do , Tu Anh Le , Tai Tan Mai

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

计算机与社会 · 计算机科学 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

This paper looks at the ability of large language models to participate in educational guided reading. We specifically, evaluate their ability to generate meaningful questions from the input text, generate diverse questions both in terms of…

计算与语言 · 计算机科学 2023-05-22 Peter Ochieng

The increased presence of large language models (LLMs) in educational settings has ignited debates concerning negative repercussions, including overreliance and inadequate task reflection. Our work advocates moderated usage of such models,…

This study investigates the application effectiveness of the Large Language Model (LLMs) ChatGLM in the automated generation of high school information technology exam questions. Through meticulously designed prompt engineering strategies,…

计算机与社会 · 计算机科学 2024-08-22 Yanxin Chen , Ling He

This study investigates the application of large language models, specifically GPT-4, to enhance programming education. The research outlines the design of a web application that uses GPT-4 to provide feedback on programming tasks, without…

计算与语言 · 计算机科学 2024-07-19 Sven Jacobs , Steffen Jaschke

Educational interventions are effective tools for enhancing student learning. While Large Language Models (LLMs) allow for generating adaptive feedback at scale, current studies lack clear methodologies for providing Just-in-Time (JiT)…

计算与语言 · 计算机科学 2026-05-27 Younghun Lee , Amir Bralin , Nobel Sanjay Rebello , Dan Goldwasser

Whereas the recent emergence of large language models (LLMs) like ChatGPT has exhibited impressive general performance, it still has a large gap with fully-supervised models on specific tasks such as multi-span question answering. Previous…

计算与语言 · 计算机科学 2023-06-08 Zixian Huang , Jiaying Zhou , Gengyang Xiao , Gong Cheng

As Large-Scale Language Models (LLMs) continue to evolve, they demonstrate significant enhancements in performance and an expansion of functionalities, impacting various domains, including education. In this study, we conducted interviews…

人机交互 · 计算机科学 2024-07-18 He Zhang , Jingyi Xie , Chuhao Wu , Jie Cai , ChanMin Kim , John M. Carroll

AI tools, particularly large language modules, have recently proven their effectiveness within learning management systems and online education programmes. As feedback continues to play a crucial role in learning and assessment in schools,…

人机交互 · 计算机科学 2024-10-17 Ievgeniia Kuzminykh , Tareita Nawaz , Shihao Shenzhang , Bogdan Ghita , Jeffery Raphael , Hannan Xiao

Research demonstrates learners engaging in the process of producing explanations to support their reasoning, can have a positive impact on learning. However, providing learners real-time explanatory feedback often presents challenges…

计算与语言 · 计算机科学 2023-06-28 Jionghao Lin , Danielle R. Thomas , Feifei Han , Shivang Gupta , Wei Tan , Ngoc Dang Nguyen , Kenneth R. Koedinger
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