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This paper examines the transformative role of Large Language Models (LLMs) in education and their potential as learning tools, despite their inherent risks and limitations. The authors propose seven approaches for utilizing AI in…

Computers and Society · Computer Science 2023-06-21 Ethan Mollick , Lilach Mollick

Tool learning is increasingly important for large language models (LLMs) to effectively coordinate and utilize a diverse set of tools in order to solve complex real-world tasks. By selecting and integrating appropriate tools, LLMs extend…

Machine Learning · Computer Science 2026-01-21 Zheng Fang , Wolfgang Mayer , Zeyu Zhang , Jian Wang , Hong-Yu Zhang , Wanli Li , Zaiwen Feng

Recent advances in large language models (LLMs) have enabled intelligent tutoring systems, yet the development of LLM-based Virtual Student Agents (LVSAs) remains underexplored. Such agents are essential for teacher-facing applications,…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Yiping Ma , Shiyu Hu , Xuchen Li , Yipei Wang , Yuqing Chen , Shiqing Liu , Kang Hao Cheong

This paper presents VITA (Virtual Teaching Assistants), an adaptive distributed learning (ADL) platform that embeds a large language model (LLM)-powered chatbot (BotCaptain) to provide dialogic support, interoperable analytics, and…

Computers and Society · Computer Science 2025-09-26 Fadjimata I Anaroua , Qing Li , Yan Tang , Hong P. Liu

This perspective paper proposes a series of interactive scenarios that utilize Artificial Intelligence (AI) to enhance classroom teaching, such as dialogue auto-completion, knowledge and style transfer, and assessment of AI-generated…

Artificial Intelligence · Computer Science 2023-06-13 Kehui Tan , Tianqi Pang , Chenyou Fan , Song Yu

The rapid evolution of large language models (LLMs) has transformed human-computer interaction (HCI), but the interaction with LLMs is currently mainly focused on text-based interactions, while other multi-model approaches remain…

Human-Computer Interaction · Computer Science 2025-02-14 Eason Chen , Chenyu Lin , Xinyi Tang , Aprille Xi , Canwen Wang , Jionghao Lin , Kenneth R Koedinger

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

Large language models (LLMs) have been applied across various intelligent educational tasks to assist teaching. While preliminary studies have focused on task-specific, independent LLM-empowered agents, the potential of LLMs within a…

Computation and Language · Computer Science 2024-11-28 Zheyuan Zhang , Daniel Zhang-Li , Jifan Yu , Linlu Gong , Jinchang Zhou , Zhanxin Hao , Jianxiao Jiang , Jie Cao , Huiqin Liu , Zhiyuan Liu , Lei Hou , Juanzi Li

Large language models (LLMs) have demonstrated the ability to generate formative feedback and instructional hints in English, making them increasingly relevant for AI-assisted education. However, their ability to provide effective…

Computation and Language · Computer Science 2025-06-06 Junior Cedric Tonga , KV Aditya Srivatsa , Kaushal Kumar Maurya , Fajri Koto , Ekaterina Kochmar

Recent progress in large language model (LLM) technology has significantly enhanced the interaction experience between humans and voice assistants (VAs). This project aims to explore a user's continuous interaction with LLM-based VA…

Human-Computer Interaction · Computer Science 2024-09-04 Szeyi Chan , Shihan Fu , Jiachen Li , Bingsheng Yao , Smit Desai , Mirjana Prpa , Dakuo Wang

The rapid integration of Large Language Models (LLMs) into software engineering practice is reshaping how software testing activities are performed. LLMs are increasingly used to support software testing. Consequently, software testing…

Software Engineering · Computer Science 2026-03-30 Peng Yang , Yunfeng Zhu , Chao Chang , Shengcheng Yu , Zhenyu Chen , Yong Tang

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…

Computation and Language · Computer Science 2024-09-24 Cheng-Han Chiang , Wei-Chih Chen , Chun-Yi Kuan , Chienchou Yang , Hung-yi Lee

Large Language Model (LLM) agents are transforming education by automating complex pedagogical tasks and enhancing both teaching and learning processes. In this survey, we present a systematic review of recent advances in applying LLM…

Computers and Society · Computer Science 2026-02-05 Zhendong Chu , Shen Wang , Jian Xie , Tinghui Zhu , Yibo Yan , Jinheng Ye , Aoxiao Zhong , Xuming Hu , Jing Liang , Philip S. Yu , Qingsong Wen

Large language model tutors are easy to build in a notebook and hard to run in a real course. We describe ITAS (Intelligent Teaching Assistant System), a multi-agent tutoring system that a graduate quantum computing course used for a…

Multiagent Systems · Computer Science 2026-04-29 Iizalaarab Elhaimeur , Nikos Chrisochoides

Tutoring improves student achievement, but identifying and studying what tutoring actions are most associated with student learning at scale based on audio transcriptions is an open research problem. This present study investigates the…

The arrival of AI tools and in particular Large Language Models (LLMs) has had a transformative impact on teaching and learning and institutes are still trying to determine how to integrate LLMs into education in constructive ways. Here, we…

Human-Computer Interaction · Computer Science 2025-09-18 Steven Watterson , Sarah Atkinson , Elaine Murray , Andrew McDowell

Providing personalized assistance at scale is a long-standing challenge for computing educators, but a new generation of tools powered by large language models (LLMs) offers immense promise. Such tools can, in theory, provide on-demand help…

Computers and Society · Computer Science 2024-01-09 Brad Sheese , Mark Liffiton , Jaromir Savelka , Paul Denny

Advancements in Large Language Models (LLMs), such as ChatGPT, offer significant opportunities to enhance instructional support in introductory programming courses. While extensive research has explored the effectiveness of LLMs in…

Human-Computer Interaction · Computer Science 2025-05-09 Muntasir Hoq , Jessica Vandenberg , Shuyin Jiao , Seung Lee , Bradford Mott , Narges Norouzi , James Lester , Bita Akram

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.…

Human-Computer Interaction · Computer Science 2025-07-01 Ruiwei Xiao , Xinying Hou , Runlong Ye , Majeed Kazemitabaar , Nicholas Diana , Michael Liut , John Stamper

Intelligent tutoring systems (ITS) using artificial intelligence (AI) technology have shown promise in supporting learners with diverse abilities. Large language models (LLMs) provide new opportunities to incorporate personas to AI-based…

Human-Computer Interaction · Computer Science 2025-09-25 Haocong Cheng , Si Chen , Christopher Perdriau , Shriya Mokkapati , Yun Huang