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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

In the rapidly evolving landscape of education, digital technologies have repeatedly disrupted traditional pedagogical methods. This paper explores the latest of these disruptions: the potential integration of large language models (LLMs)…

Computers and Society · Computer Science 2023-12-21 Mahyar Abedi , Ibrahem Alshybani , Muhammad Rubayat Bin Shahadat , Michael S. Murillo

Ever since the emergence of large language models (LLMs) and related applications, such as ChatGPT, its performance and error analysis for programming tasks have been subject to research. In this work-in-progress paper, we explore the…

Artificial Intelligence · Computer Science 2023-09-04 Natalie Kiesler , Dominic Lohr , Hieke Keuning

Conventional class feedback systems often fall short, relying on static, unengaging surveys offering little incentive for student participation. To address this, we present OpineBot, a novel system employing large language models (LLMs) to…

Human-Computer Interaction · Computer Science 2024-01-30 Henansh Tanwar , Kunal Shrivastva , Rahul Singh , Dhruv Kumar

This study investigates the design, development, and evaluation of a Large Language Model (LLM)-based chatbot for teaching English conversations in an English as a Foreign Language (EFL) context. Employing the Design and Development…

Human-Computer Interaction · Computer Science 2024-09-10 Jaekwon Park , Jiyoung Bae , Unggi Lee , Taekyung Ahn , Sookbun Lee , Dohee Kim , Aram Choi , Yeil Jeong , Jewoong Moon , Hyeoncheol Kim

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

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

Personalized chatbot-based teaching assistants can be crucial in addressing increasing classroom sizes, especially where direct teacher presence is limited. Large language models (LLMs) offer a promising avenue, with increasing research…

Human-Computer Interaction · Computer Science 2024-08-21 Harsh Kumar , Ilya Musabirov , Mohi Reza , Jiakai Shi , Xinyuan Wang , Joseph Jay Williams , Anastasia Kuzminykh , Michael Liut

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

The landscape of education is changing rapidly, shaped by emerging pedagogical approaches, technological innovations such as artificial intelligence (AI), and evolving societal expectations, all of which demand thorough evaluation of new…

Computers and Society · Computer Science 2026-03-19 Fiammetta Caccavale , Carina L. Gargalo , Julian Kager , Magdalena Skowyra , Steen Larsen , Krist V. Gernaey , Ulrich Krühne

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

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

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

Open-ended questions are a favored tool among instructors for assessing student understanding and encouraging critical exploration of course material. Providing feedback for such responses is a time-consuming task that can lead to…

Computers and Society · Computer Science 2023-08-07 Jordan K. Matelsky , Felipe Parodi , Tony Liu , Richard D. Lange , Konrad P. Kording

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

Providing students with flexible and timely academic support is a challenge at most colleges and universities, leaving many students without help outside scheduled hours. Large language models (LLMs) are promising for bridging this gap, but…

Computers and Society · Computer Science 2025-09-12 Chang Liu , Loc Hoang , Andrew Stolman , Rene F. Kizilcec , Bo Wu

Chatbots have shown promise as tools to scale qualitative data collection. Recent advances in Large Language Models (LLMs) could accelerate this process by allowing researchers to easily deploy sophisticated interviewing chatbots. We test…

Human-Computer Interaction · Computer Science 2024-12-05 Alejandro Cuevas , Jennifer V. Scurrell , Eva M. Brown , Jason Entenmann , Madeleine I. G. Daepp

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

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

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
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