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Tool learning aims to enhance and expand large language models' (LLMs) capabilities with external tools, which has gained significant attention recently. Current methods have shown that LLMs can effectively handle a certain amount of tools…

Computation and Language · Computer Science 2024-10-01 Qiancheng Xu , Yongqi Li , Heming Xia , Wenjie Li

Large language models (LLMs) can act as evaluators, a role studied by methods like LLM-as-a-Judge and fine-tuned judging LLMs. In the field of education, LLMs have been studied as assistant tools for students and teachers. Our research…

Computation and Language · Computer Science 2025-09-26 Valeria Ramirez-Garcia , David de-Fitero-Dominguez , Antonio Garcia-Cabot , Eva Garcia-Lopez

In this paper, we explore the application of large language models (LLMs) for generating code-tracing questions in introductory programming courses. We designed targeted prompts for GPT4, guiding it to generate code-tracing questions based…

Computation and Language · Computer Science 2023-10-25 Aysa Xuemo Fan , Ranran Haoran Zhang , Luc Paquette , Rui Zhang

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…

Computers and Society · Computer Science 2023-11-28 Chee Wei Tan

Large language models (LLMs), especially when instruction-tuned for chat, have become part of our daily lives, freeing people from the process of searching, extracting, and integrating information from multiple sources by offering a…

Computation and Language · Computer Science 2024-11-01 Yuxia Wang , Minghan Wang , Muhammad Arslan Manzoor , Fei Liu , Georgi Georgiev , Rocktim Jyoti Das , Preslav Nakov

Large Language Models (LLMs) have become part of how students solve programming tasks, offering immediate explanations and even full solutions. Previous work has highlighted that novice programmers often heavily rely on LLMs, thereby…

Computers and Society · Computer Science 2026-04-15 Iris Groher , Patrick Heissenberger , Michael Vierhauser

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…

Computers and Society · Computer Science 2025-05-06 Marc Ballestero-Ribó , Daniel Ortiz-Martínez

This paper assesses the potential for large language models (LLMs) to serve as assistive tools in the creative writing process, by means of a single, in-depth case study. In the course of the study, we develop interactive and multi-voice…

Computation and Language · Computer Science 2023-12-08 Murray Shanahan , Catherine Clarke

One of the emergent challenges of student work submitted for assessment is the widespread use of large language models (LLMs) to support and even produce written work. This particularly affects subjects where long-form written work is a key…

Computers and Society · Computer Science 2025-11-11 Ian M. Church , Lyndon Drake , Mark Harris

In the era of generative artificial intelligence (AI), the fusion of large language models (LLMs) offers unprecedented opportunities for innovation in the field of modern education. We embark on an exploration of prompted LLMs within the…

Computation and Language · Computer Science 2024-05-21 Subhankar Maity , Aniket Deroy , Sudeshna Sarkar

Evaluation of large language model (LLM) outputs requires users to make critical judgments about the best outputs across various configurations. This process is costly and takes time given the large amounts of data. LLMs are increasingly…

The rapid development of Large Language Models (LLMs) opens up the possibility of using them as personal tutors. This has led to the development of several intelligent tutoring systems and learning assistants that use LLMs as back-ends with…

Emerging Technologies · Computer Science 2025-06-11 Sankalan Pal Chowdhury , Terry Jingchen Zhang , Donya Rooein , Dirk Hovy , Tanja Käser , Mrinmaya Sachan

We claim that LLMs can be paired with formal analysis methods to provide accessible, relevant feedback for HRI tasks. While logic specifications are useful for defining and assessing a task, these representations are not easily interpreted…

Robotics · Computer Science 2024-05-28 Emily Jensen , Sriram Sankaranarayanan , Bradley Hayes

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…

Computation and Language · Computer Science 2023-06-28 Jionghao Lin , Danielle R. Thomas , Feifei Han , Shivang Gupta , Wei Tan , Ngoc Dang Nguyen , Kenneth R. Koedinger

Large Language Models (LLMs) have demonstrated remarkable capabilities for reinforcement learning (RL) models, such as planning and reasoning capabilities. However, the problems of LLMs and RL model collaboration still need to be solved. In…

Computation and Language · Computer Science 2025-03-04 Shangding Gu

Personalized content-based recommender systems have become indispensable tools for users to navigate through the vast amount of content available on platforms like daily news websites and book recommendation services. However, existing…

Information Retrieval · Computer Science 2023-09-01 Qijiong Liu , Nuo Chen , Tetsuya Sakai , Xiao-Ming Wu

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…

Human-Computer Interaction · Computer Science 2024-04-10 M. Namvarpour , A. Razi

Artificial intelligence has been applied in various aspects of online education to facilitate teaching and learning. However, few approaches has been made toward a complete AI-powered tutoring system. In this work, we explore the…

Human-Computer Interaction · Computer Science 2024-08-06 Yulin Chen , Ning Ding , Hai-Tao Zheng , Zhiyuan Liu , Maosong Sun , Bowen Zhou

Due to the remarkable language understanding and generation abilities of large language models (LLMs), their use in educational applications has been explored. However, little work has been done on investigating the pedagogical ability of…

Computation and Language · Computer Science 2023-10-23 An-Zi Yen , Wei-Ling Hsu

Large Language Models (LLMs) have upended decades of pedagogy in computing education. Students previously learned to code through \textit{writing} many small problems with less emphasis on code reading and comprehension. Recent research has…