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Conversation agents fueled by Large Language Models (LLMs) are providing a new way to interact with visual data. While there have been initial attempts for image-based conversation models, this work addresses the under-explored field of…

Computer Vision and Pattern Recognition · Computer Science 2024-06-11 Muhammad Maaz , Hanoona Rasheed , Salman Khan , Fahad Shahbaz Khan

Artificial Intelligence and especially Large Language Models (LLM), such as ChatGPT has revolutionized the way educators work. The results we get from LLMs depend on how we ask them to help us. The process and the technique behind an…

Physics Education · Physics 2025-10-13 Dimitrios Gousopoulos

The evolving pedagogy paradigms are leading toward educational transformations. One fundamental aspect of effective learning is relevant, immediate, and constructive feedback to students. Providing constructive feedback to large cohorts in…

Computers and Society · Computer Science 2025-10-14 Javed Ali Khan , Muhammad Yaqoob , Mamoona Tasadduq , Hafsa Shareef Dar , Aitezaz Ahsan

Recent advancements in artificial intelligence (AI) and machine learning have reignited interest in their impact on Computer-based Learning (CBL). AI-driven tools like ChatGPT and Intelligent Tutoring Systems (ITS) have enhanced learning…

Computers and Society · Computer Science 2025-05-07 Mohsen Balavar , Wenli Yang , David Herbert , Soonja Yeom

Providing explainable and faithful feedback is crucial for automated student answer assessment. In this paper, we introduce a novel framework that explores using ChatGPT, a cutting-edge large language model, for the concurrent tasks of…

Computation and Language · Computer Science 2023-10-25 Jiazheng Li , Lin Gui , Yuxiang Zhou , David West , Cesare Aloisi , Yulan He

This paper was a Workshop Paper. See the full paper which will be presented at CHI 2026: arXiv:2501.10551; As large language models (LLMs) become more powerful and ubiquitous, systems like ChatGPT are increasingly used by students to help…

Human-Computer Interaction · Computer Science 2026-02-13 Andrew Jelson , Sang Won Lee

Intelligent Tutoring Systems (ITSs) often contain an automated feedback component, which provides a predefined feedback message to students when they detect a predefined error. To such a feedback component, we often resort to template-based…

Computation and Language · Computer Science 2024-07-10 Hunter McNichols , Jaewook Lee , Stephen Fancsali , Steve Ritter , Andrew Lan

Feedback is one of the most crucial components to facilitate effective learning. With the rise of large language models (LLMs) in recent years, research in programming education has increasingly focused on automated feedback generation to…

Computers and Society · Computer Science 2025-09-05 Niklas Scholz , Manh Hung Nguyen , Adish Singla , Tomohiro Nagashima

The proliferation of Large Language Models (LLMs), such as ChatGPT, has raised concerns about their potential impact on academic integrity, prompting the need for LLM-resistant exam designs. This article investigates the performance of LLMs…

Computation and Language · Computer Science 2023-04-25 Simon kaare Larsen

The GPT (Generative Pre-trained Transformer) language models are an artificial intelligence and natural language processing technology that enables automatic text generation. There is a growing interest in applying GPT language models to…

Computers and Society · Computer Science 2024-03-25 Manuel de Buenaga , Francisco Javier Bueno

As large language models (LLMs) advance and become widespread, students increasingly turn to systems like ChatGPT for assistance with writing tasks. Educators are concerned with students' usage of ChatGPT beyond cheating; using ChatGPT may…

Human-Computer Interaction · Computer Science 2026-04-23 Andrew Jelson , Daniel Manesh , Alice Jang , Daniel Dunlap , Young-Ho Kim , Sang Won Lee

Large language models (LLMs) have emerged as versatile tools in various daily applications. However, they are fraught with issues that undermine their utility and trustworthiness. These include the incorporation of erroneous references…

Computation and Language · Computer Science 2023-09-13 Dongyub Lee , Taesun Whang , Chanhee Lee , Heuiseok Lim

Large language models have demonstrated exceptional capabilities in tasks involving natural language generation, reasoning, and comprehension. This study aims to construct prompts and comments grounded in the diverse scoring criteria…

Computation and Language · Computer Science 2024-01-09 Wei Xia , Shaoguang Mao , Chanjing Zheng

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

The rapid evolution of artificial intelligence (AI), specifically large language models (LLMs), has opened opportunities for various educational applications. This paper explored the feasibility of utilizing ChatGPT, one of the most popular…

Human-Computer Interaction · Computer Science 2023-12-20 Zhengdong Zhang , Zihan Dong , Yang Shi , Noboru Matsuda , Thomas Price , Dongkuan Xu

This study introduces a novel method that employs tag annotation coupled with the ChatGPT language model to analyze student learning behaviors and generate personalized feedback. Central to this approach is the conversion of complex student…

Artificial Intelligence · Computer Science 2025-01-14 Yizhou Zhou , Mengqiao Zhang , Yuan-Hao Jiang , Xinyu Gao , Naijie Liu , Bo Jiang

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

Computation and Language · Computer Science 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu

As large language models (LLMs) become more common in educational tools and programming environments, questions arise about how these systems should interact with users. This study investigates how different interaction styles with…

Human-Computer Interaction · Computer Science 2025-07-08 Kai Deng

Educational chatbots come with a promise of interactive and personalized learning experiences, yet their development has been limited by the restricted free interaction capabilities of available platforms and the difficulty of encoding…

This paper assesses the potential for the large language models (LLMs) GPT-4 and GPT-3.5 to aid in deriving insight from education feedback surveys. Exploration of LLM use cases in education has focused on teaching and learning, with less…

Computation and Language · Computer Science 2024-06-28 Michael J. Parker , Caitlin Anderson , Claire Stone , YeaRim Oh