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Large language models (LLMs) have the potential to enhance K-12 STEM education by improving both teaching and learning processes. While previous studies have shown promising results, there is still a lack of comprehensive understanding…

Computation and Language · Computer Science 2024-10-16 Eason Chen , Danyang Wang , Luyi Xu , Chen Cao , Xiao Fang , Jionghao Lin

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

Dialogue systems have long supported learner reflections, with theoretically grounded, rule-based designs offering structured scaffolding but often struggling to respond to shifts in engagement. Large Language Models (LLMs), in contrast,…

Higher education faces growing challenges in delivering personalized, scalable, and pedagogically coherent learning experiences. This study introduces a structured framework for designing an AI-powered Learning Management System (AI-LMS)…

Computation and Language · Computer Science 2025-09-03 Elias Ra , Seung Je Kim , Eui-Yeong Seo , Geunju So

Large language models (LLMs) are increasingly being explored in higher education, yet their effectiveness as teaching agents remains underexamined. In this paper, we present the development of GuideLM, a fine-tuned LLM designed for…

Computation and Language · Computer Science 2025-03-03 Emily Ross , Yuval Kansal , Jake Renzella , Alexandra Vassar , Andrew Taylor

Recent advances in large language models (LLMs) have shown promise for scalable educational applications, but their use in dialog-based tutoring systems remains challenging due to the need for effective pedagogical strategies and the high…

Computation and Language · Computer Science 2024-10-28 Menna Fateen , Tsunenori Mine

This paper investigates supervised fine-tuning of large language models (LLMs) to improve their pedagogical alignment in computing education, addressing concerns that LLMs may hinder learning outcomes. The project utilised a proprietary…

Computation and Language · Computer Science 2024-11-05 Alexandra Vassar , Jake Renzella , Emily Ross , Andrew Taylor

The emergence of large language models (LLMs) like ChatGPT has increased interest in their use as therapists to address mental health challenges and the widespread lack of access to care. However, experts have emphasized the critical need…

Computation and Language · Computer Science 2024-12-02 Yu Ying Chiu , Ashish Sharma , Inna Wanyin Lin , Tim Althoff

Integrating Large Language Models (LLMs) into educational practice enables personalized learning by accommodating diverse learner behaviors. This study explored diverse learner profiles within a multi-agent, LLM-empowered learning…

Computers and Society · Computer Science 2025-10-13 Zhanxin Hao , Jianxiao Jiang , Jifan Yu , Zhiyuan Liu , Yu Zhang

Recent advancements in large language models (LLMs) have facilitated the development of chatbots with sophisticated conversational capabilities. However, LLMs exhibit frequent inaccurate responses to queries, hindering applications in…

Human-Computer Interaction · Computer Science 2024-07-17 Blake Castleman , Mehmet Kerem Turkcan

Students in computing education increasingly use large language models (LLMs) such as ChatGPT. Yet, the role of LLMs in supporting cognitively demanding tasks, like deductive program verification, remains poorly understood. This paper…

Software Engineering · Computer Science 2025-09-09 Carolina Carreira , Álvaro Silva , Alexandre Abreu , Alexandra Mendes

Large Language Models (LLMs) have made progress in various real-world tasks, which stimulates requirements for the evaluation of LLMs. Existing LLM evaluation methods are mainly supervised signal-based which depends on static datasets and…

Computation and Language · Computer Science 2023-09-11 Jiatong Li , Rui Li , Qi Liu

Ensuring the products displayed in e-commerce search results are relevant to users queries is crucial for improving the user experience. With their advanced semantic understanding, deep learning models have been widely used for relevance…

Information Retrieval · Computer Science 2025-05-13 Hongwei Shang , Nguyen Vo , Nitin Yadav , Tian Zhang , Ajit Puthenputhussery , Xunfan Cai , Shuyi Chen , Prijith Chandran , Changsung Kang

This research explores the integration of chatbot technology powered by GPT-3.5 and GPT-4 Turbo into higher education to enhance internationalization and leverage digital transformation. It delves into the design, implementation, and…

Computers and Society · Computer Science 2024-03-25 Achraf Hsain , Hamza El Housni

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 emerged as powerful tools in natural language processing (NLP), showing a promising future of artificial generated intelligence (AGI). Despite their notable performance in the general domain, LLMs have…

Computation and Language · Computer Science 2025-01-23 Jingyuan Chen , Tao Wu , Wei Ji , Fei Wu

Education technologies (edtech) are increasingly incorporating new features built on large language models (LLMs), with the goals of enriching the processes of teaching and learning and ultimately improving learning outcomes. However, the…

Computers and Society · Computer Science 2025-02-21 Emma Harvey , Allison Koenecke , Rene F. Kizilcec

This paper investigates the performance of the Large Language Models (LLMs) ChatGPT-3.5 and GPT-4 in solving introductory programming tasks. Based on the performance, implications for didactic scenarios and assessment formats utilizing LLMs…

Software Engineering · Computer Science 2023-08-21 Natalie Kiesler , Daniel Schiffner

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

The importance of managing feedback practices in higher education has been widely recognised, as they play a crucial role in enhancing teaching, learning, and assessment processes. In today's educational landscape, feedback practices are…

Computers and Society · Computer Science 2026-02-04 Daniele Agostini , Federica Picasso
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