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Large language models (LLMs) are increasingly embedded in AI-based tutoring systems. Can they faithfully model novice reasoning and metacognitive judgments? Existing evaluations emphasize problem-solving accuracy, overlooking the fragmented…

Computation and Language · Computer Science 2026-05-12 Conrad Borchers , Jill-Jênn Vie , Roger Azevedo

This study investigates how undergraduate students engage with ChatGPT in self-directed learning contexts. Analyzing naturalistic interaction logs, we identify five dominant use categories of ChatGPT: information seeking, content…

Human-Computer Interaction · Computer Science 2026-01-21 Tawfiq Ammari , Meilun Chen , S M Mehedi Zaman , Kiran Garimella

Although several methods were proposed to address the problem of automated essay scoring (AES) in the last 50 years, there is still much to desire in terms of effectiveness. Large Language Models (LLMs) are transformer-based models that…

Computation and Language · Computer Science 2024-04-17 Watheq Mansour , Salam Albatarni , Sohaila Eltanbouly , Tamer Elsayed

Large language models (LLMs) show promise for automatically generating feedback in education settings. However, it remains unclear how specific feedback elements, such as tone and information coverage, contribute to learning outcomes and…

Computation and Language · Computer Science 2026-02-13 Momoka Furuhashi , Kouta Nakayama , Noboru Kawai , Takashi Kodama , Saku Sugawara , Kyosuke Takami

The rise in popularity of Large Language Models (LLMs) has prompted discussions in academic circles, with students exploring LLM-based tools for coursework inquiries and instructors exploring them for teaching and research. Even though a…

Large Language Model (LLMs) such as ChatGPT that exhibit generative AI capabilities are facing accelerated adoption and innovation. The increased presence of Generative AI (GAI) inevitably raises concerns about the risks and safety…

Computers and Society · Computer Science 2024-07-29 Jaymari Chua , Yun Li , Shiyi Yang , Chen Wang , Lina Yao

Human feedback is increasingly used to steer the behaviours of Large Language Models (LLMs). However, it is unclear how to collect and incorporate feedback in a way that is efficient, effective and unbiased, especially for highly subjective…

Computation and Language · Computer Science 2023-10-12 Hannah Rose Kirk , Andrew M. Bean , Bertie Vidgen , Paul Röttger , Scott A. Hale

Despite the well-established importance of feedback in education, the application of Artificial Intelligence (AI)-generated feedback, particularly from language models like ChatGPT, remains understudied in translation education. This study…

Human-Computer Interaction · Computer Science 2024-10-14 Simin Xu , Yanfang Su , Kanglong Liu

This study delves into the application potential of the large language models (LLMs) ChatGLM in the automatic generation of structured questions for National Teacher Certification Exams (NTCE). Through meticulously designed prompt…

Computers and Society · Computer Science 2024-08-21 Ling He , Yanxin Chen , Xiaoqiang Hu

The adoption of generative AI and large language models (LLMs) in education is still emerging. In this study, we explore the development and evaluation of AI teaching assistants that provide curriculum-based guidance using a…

Computation and Language · Computer Science 2025-10-06 Konstantinos Katharakis , Sippo Rossi , Raghava Rao Mukkamala

Generative Artificial Intelligence (GAI) models such as ChatGPT have experienced a surge in popularity, attracting 100 million active users in 2 months and generating an estimated 10 million daily queries. Despite this remarkable adoption,…

Artificial Intelligence · Computer Science 2024-04-17 Stefanie Krause , Bhumi Hitesh Panchal , Nikhil Ubhe

Providing timely and personalized feedback to large numbers of students is a long-standing challenge in programming courses. Relying on human teaching assistants (TAs) has been extensively studied, revealing a number of potential…

Computers and Society · Computer Science 2024-05-24 Paul Denny , Stephen MacNeil , Jaromir Savelka , Leo Porter , Andrew Luxton-Reilly

The widespread availability of large language models (LLMs) has changed how students engage with coding and problem-solving. While these tools may increase student productivity, they also make it more difficult for instructors to assess…

Software Engineering · Computer Science 2026-01-23 Yufan Zhang , Jaromir Savelka , Seth Copen Goldstein , Michael Conway

The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research has explored methodologies to enhance the effectiveness of feedback. Recent developments in Large…

Computers and Society · Computer Science 2024-11-15 Sami Baral , Eamon Worden , Wen-Chiang Lim , Zhuang Luo , Christopher Santorelli , Ashish Gurung , Neil Heffernan

Cutting-edge Artificial Intelligence (AI) techniques keep reshaping our view of the world. For example, Large Language Models (LLMs) based applications such as ChatGPT have shown the capability of generating human-like conversation on…

Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce language that closely resembles that of humans. These models have…

Software Engineering · Computer Science 2023-08-10 Alessio Buscemi

ChatGLM is a free-to-use AI service powered by the ChatGLM family of large language models (LLMs). In this paper, we present the ChatGLM-RLHF pipeline -- a reinforcement learning from human feedback (RLHF) system -- designed to enhance…

Computation and Language · Computer Science 2024-04-04 Zhenyu Hou , Yilin Niu , Zhengxiao Du , Xiaohan Zhang , Xiao Liu , Aohan Zeng , Qinkai Zheng , Minlie Huang , Hongning Wang , Jie Tang , Yuxiao Dong

The integration of artificial intelligence tools such as ChatGPT in the education system has gained attention in recent years. This experience report explores students' perceptions and suggestions for integrating ChatGPT in a computer…

Computers and Society · Computer Science 2024-02-06 Kehinde Aruleba , Ismaila Temitayo Sanusi , George Obaido , Blessing Ogbuokiri

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 study explores how college students interact with generative AI (ChatGPT-4) during educational quizzes, focusing on reliance and predictors of AI adoption. Conducted at the early stages of ChatGPT implementation, when students had…

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