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In second language learning, scenario-based conversation practice is important for language learners to achieve fluency in speaking, but students often lack sufficient opportunities to practice their conversational skills with qualified…

Computation and Language · Computer Science 2024-04-01 Shuyao Xu , Long Qin , Tianyang Chen , Zhenzhou Zha , Bingxue Qiu , Weizhi Wang

Large language models have not only captivated the public imagination but have also sparked a profound rethinking of how we learn. In the third year following the breakthrough launch of ChatGPT, everyday informal learning has been…

Human-Computer Interaction · Computer Science 2025-06-16 Nađa Terzimehić , Babette Bühler , Enkelejda Kasneci

Large language models (LLMs) often struggle to learn from corrective feedback within a conversational context. They are rarely proactive in soliciting this feedback, even when faced with ambiguity, which can make their dialogues feel…

Computation and Language · Computer Science 2026-02-19 Jonathan Cook , Diego Antognini , Martin Klissarov , Claudiu Musat , Edward Grefenstette

The rapid adoption of Generative AI (GenAI) based on Large Language Models (LLMs) such as ChatGPT has recently and profoundly impacted education, offering transformative opportunities while raising significant concerns. In this study we…

Computers and Society · Computer Science 2024-12-24 Jérémie Sublime , Ilaria Renna

Achieving consensus in group decision-making often involves overcoming significant challenges, particularly in reconciling diverse perspectives and mitigating biases that hinder agreement. Traditional methods relying on human facilitators…

Human-Computer Interaction · Computer Science 2025-03-21 Loukas Triantafyllopoulos , Dimitris Kalles

The answering quality of an aligned large language model (LLM) can be drastically improved if treated with proper crafting of prompts. In this paper, we propose ExpertPrompting to elicit the potential of LLMs to answer as distinguished…

Computation and Language · Computer Science 2025-03-06 Benfeng Xu , An Yang , Junyang Lin , Quan Wang , Chang Zhou , Yongdong Zhang , Zhendong Mao

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 rise of AI, especially Large Language Models, presents challenges and opportunities to integrate such technology into the classroom. AI has the potential to revolutionize education by helping teaching staff with various tasks, such as…

Human-Computer Interaction · Computer Science 2025-07-01 Jarne Thys , Sebe Vanbrabant , Davy Vanacken , Gustavo Rovelo Ruiz

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

Artificial intelligence is making spectacular progress, and one of the best examples is the development of large language models (LLMs) such as OpenAI's GPT series. In these lectures, written for readers with a background in mathematics or…

Computation and Language · Computer Science 2023-10-09 Michael R. Douglas

Artificial Intelligence (AI) holds transformative potential in education, enabling personalized learning, enhancing inclusivity, and encouraging creativity and curiosity. In this paper, we explore how Large Language Models (LLMs) can act as…

Computers and Society · Computer Science 2026-05-18 Eleonora Grassucci , Gualtiero Grassucci , Aurelio Uncini , Danilo Comminiello

While recent studies have examined the leaning impact of large language model (LLM) in educational contexts, the affective dynamics of LLM-mediated tutoring remain insufficiently understood. This work introduces the first ensemble-LLM…

Computation and Language · Computer Science 2025-10-17 Chenyu Zhang , Sharifa Alghowinem , Cynthia Breazeal

Large Language Models (LLMs) are increasingly utilized in educational tasks such as providing writing suggestions to students. Despite their potential, LLMs are known to harbor inherent biases which may negatively impact learners. Previous…

Computation and Language · Computer Science 2023-11-07 Thiemo Wambsganss , Xiaotian Su , Vinitra Swamy , Seyed Parsa Neshaei , Roman Rietsche , Tanja Käser

Large language models (LLMs) typically generate direct answers, yet they are increasingly used as learning tools. Studying instructors' usage is critical, given their role in teaching and guiding AI adoption in education. We designed and…

Human-Computer Interaction · Computer Science 2025-09-16 Si Chen , Isabel R. Molnar , Peiyu Li , Adam Acunin , Ting Hua , Alex Ambrose , Nitesh V. Chawla , Ronald Metoyer

Large Language Models (LLMs) have shown the potential to be valuable teaching tools, with the potential of giving every student a personalized tutor. However, one challenge with using LLMs to learn new concepts is that when learning a topic…

Human-Computer Interaction · Computer Science 2024-11-19 Steve Oney , Yue Shen , Fei Wu , Young Suh Hong , Ziang Wang , Yamini Khajekar , Jiacheng Zhang , April Yi Wang

"Learning by Teaching (LbT)" helps learners deepen their understanding by explaining concepts to others, with questions playing a vital role in identifying knowledge gaps and reinforcing comprehension. However, existing systems for…

Human-Computer Interaction · Computer Science 2026-04-21 Tokio Uchida , Ko Watanabe , Andrew Vargo , Shoya Ishimaru , Ralph L. Rose , Ayaka Sugawara , Andreas Dengel , Koichi Kise

The field of Artificial Intelligence in Education (AIED) focuses on the intersection of technology, education, and psychology, placing a strong emphasis on supporting learners' needs with compassion and understanding. The growing prominence…

Human-Computer Interaction · Computer Science 2024-05-14 John Stamper , Ruiwei Xiao , Xinying Hou

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

We explore the automatic generation of interactive, scenario-based lessons designed to train novice human tutors who teach middle school mathematics online. Employing prompt engineering through a Retrieval-Augmented Generation approach with…

Large language models (LLMs) are increasingly used to generate feedback, yet their impact on learning remains underexplored, especially compared to existing feedback methods. This study investigates how on-demand LLM-generated explanatory…

Computation and Language · Computer Science 2025-06-23 Danielle R. Thomas , Conrad Borchers , Shambhavi Bhushan , Erin Gatz , Shivang Gupta , Kenneth R. Koedinger