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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

This study investigates the use of generative AI and multi-agent systems to provide automatic feedback in educational contexts, particularly for student constructed responses in science assessments. The research addresses a key gap in the…

Computation and Language · Computer Science 2024-11-13 Shuchen Guo , Ehsan Latif , Yifan Zhou , Xuan Huang , Xiaoming Zhai

The effect of large language models (LLMs) in education is debated: Previous research shows that LLMs can help as well as hurt learning. In two pre-registered and incentivized laboratory experiments, we find no effect of LLMs on overall…

Computers and Society · Computer Science 2025-03-11 Matthias Lehmann , Philipp B. Cornelius , Fabian J. Sting

In recent years, large language models (LLMs) and generative AI have revolutionized natural language processing (NLP), offering unprecedented capabilities in education. This chapter explores the transformative potential of LLMs in automated…

Computation and Language · Computer Science 2024-10-15 Subhankar Maity , Aniket Deroy

Effectively supporting students in mastering all facets of self-regulated learning is a central aim of teachers and educational researchers. Prior research could demonstrate that formative feedback is an effective way to support students…

Physics Education · Physics 2024-12-31 Steffen Steinert , Karina E. Avila , Stefan Ruzika , Jochen Kuhn , Stefan Küchemann

Generative artificial intelligence (GenAI) can reshape education and learning. While large language models (LLMs) like ChatGPT dominate current educational research, multimodal capabilities, such as text-to-speech and text-to-image, are…

Artificial Intelligence · Computer Science 2025-04-03 Ville Heilala , Roberto Araya , Raija Hämäläinen

Online education platforms, leveraging the internet to distribute education resources, seek to provide convenient education but often fall short in real-time communication with students. They often struggle to address the diverse obstacles…

Artificial Intelligence · Computer Science 2024-04-29 Qingyao Li , Lingyue Fu , Weiming Zhang , Xianyu Chen , Jingwei Yu , Wei Xia , Weinan Zhang , Ruiming Tang , Yong Yu

The advent of Large Language Models (LLMs) has brought in a new era of possibilities in the realm of education. This survey paper summarizes the various technologies of LLMs in educational settings from multifaceted perspectives,…

Computation and Language · Computer Science 2024-04-03 Shen Wang , Tianlong Xu , Hang Li , Chaoli Zhang , Joleen Liang , Jiliang Tang , Philip S. Yu , Qingsong Wen

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

Generative AI tools - most notably large language models (LLMs) like ChatGPT and Codex - are rapidly revolutionizing computer science education. These tools can generate, debug, and explain code, thereby transforming the landscape of…

Computers and Society · Computer Science 2025-07-04 Russell Beale

Generative AI offers new opportunities for individualized and adaptive learning, e.g., through large language model (LLM)-based feedback systems. While LLMs can produce effective feedback for relatively straightforward conceptual tasks,…

Physics Education · Physics 2026-04-08 Holger Maus , Paul Tschisgale , Fabian Kieser , Stefan Petersen , Peter Wulff

Educational interventions are effective tools for enhancing student learning. While Large Language Models (LLMs) allow for generating adaptive feedback at scale, current studies lack clear methodologies for providing Just-in-Time (JiT)…

Computation and Language · Computer Science 2026-05-27 Younghun Lee , Amir Bralin , Nobel Sanjay Rebello , Dan Goldwasser

The development of large language models (LLMs) has successfully transformed knowledge-based systems such as open domain question nswering, which can automatically produce vast amounts of seemingly coherent information. Yet, those models…

Artificial Intelligence · Computer Science 2026-01-28 Eduardo C. Garrido-Merchán , Cristina Puente

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

In large organisations, knowledge is mainly shared in meetings, which takes up significant amounts of work time. Additionally, frequent in-person meetings produce inconsistent documentation -- official minutes, personal notes, presentations…

Computation and Language · Computer Science 2025-07-23 Simon Baeuerle , Max Radyschevski , Ulrike Pado

This paper explores the advancements in making large language models (LLMs) more human-like. We focus on techniques that enhance natural language understanding, conversational coherence, and emotional intelligence in AI systems. The study…

Computation and Language · Computer Science 2026-02-03 Ethem Yağız Çalık , Talha Rüzgar Akkuş

Generative artificial intelligence (GenAI), exemplified by ChatGPT, Midjourney, and other state-of-the-art large language models and diffusion models, holds significant potential for transforming education and enhancing human productivity.…

Computers and Society · Computer Science 2023-12-25 Lixiang Yan , Roberto Martinez-Maldonado , Dragan Gašević

Large Language Models possess skills such as answering questions, writing essays or solving programming exercises. Since these models are easily accessible, researchers have investigated their capabilities and risks for programming…

Computers and Society · Computer Science 2023-12-19 Lianne Roest , Hieke Keuning , Johan Jeuring

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

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