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Massive pre-trained language models have garnered attention and controversy due to their ability to generate human-like responses: attention due to their frequent indistinguishability from human-generated phraseology and narratives, and…

Physics Education · Physics 2023-05-23 Gerd Kortemeyer

Digital textbooks have become an integral part of everyday learning tasks. In this work, we consider the use of digital textbooks for programming classes. Generally, students struggle with utilizing textbooks on programming to the maximum,…

Computation and Language · Computer Science 2023-06-07 Arun Balajiee Lekshmi Narayanan , Rully Agus Hendrawan , Venktesh V

ChatGPT has been increasingly used in computer science, offering efficient support across software development tasks. While it helps students navigate programming challenges, its use also raises concerns about academic integrity and…

Software Engineering · Computer Science 2025-11-19 Daihan Xu , Diana Martin

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

ChatGPT, as a recently launched large language model (LLM), has shown superior performance in various natural language processing (NLP) tasks. However, two major limitations hinder its potential applications: (1) the inflexibility of…

Computation and Language · Computer Science 2023-09-20 Yucheng Shi , Hehuan Ma , Wenliang Zhong , Qiaoyu Tan , Gengchen Mai , Xiang Li , Tianming Liu , Junzhou Huang

This study investigates the potential of using ChatGPT as a teachable agent to support students' learning by teaching process, specifically in programming education. While learning by teaching is an effective pedagogical strategy for…

Computers and Society · Computer Science 2024-12-23 Angxuan Chen , Yuang Wei , Huixiao Le , Yan Zhang

Large language models are able to perform a task by conditioning on a few input-output demonstrations - a paradigm known as in-context learning. We show that language models can explicitly infer an underlying task from a few demonstrations…

Computation and Language · Computer Science 2022-05-24 Or Honovich , Uri Shaham , Samuel R. Bowman , Omer Levy

This study aimed to examine an assumption that generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We compared the performance of ChatGPT and GPT-4 on 2019 NAEP…

Artificial Intelligence · Computer Science 2024-01-31 Xiaoming Zhai , Matthew Nyaaba , Wenchao Ma

The emergence of ChatGPT has been rapid, and although it has demonstrated positive impacts in certain domains, its influence is not universally advantageous. Our analysis focuses on ChatGPT's capabilities in Mathematics Education,…

Computation and Language · Computer Science 2023-06-29 Eli Bagno , Thierry Dana-Picard , Shulamit Reches

The impressive essay writing and problem-solving capabilities of large language models (LLMs) like OpenAI's ChatGPT have opened up new avenues in education. Our goal is to gain insights into the widespread use of LLMs among secondary…

Human-Computer Interaction · Computer Science 2024-12-02 Tiffany Zhu , Kexun Zhang , William Yang Wang

Large language models have demonstrated exceptional capabilities in tasks involving natural language generation, reasoning, and comprehension. This study aims to construct prompts and comments grounded in the diverse scoring criteria…

Computation and Language · Computer Science 2024-01-09 Wei Xia , Shaoguang Mao , Chanjing Zheng

Large language models (LLMs) such as ChatGPT and GPT-4 have recently demonstrated their remarkable abilities of communicating with human users. In this technical report, we take an initiative to investigate their capacities of playing text…

Computation and Language · Computer Science 2025-04-01 Chen Feng Tsai , Xiaochen Zhou , Sierra S. Liu , Jing Li , Mo Yu , Hongyuan Mei

Background: Large language models (LLMs) such as ChatGPT are increasingly used in introductory programming courses to provide real-time code generation, debugging, and explanations. While these tools can boost productivity and code quality,…

Software Engineering · Computer Science 2025-10-02 Shiza Andleeb , Brandon Kantorski , Jeffrey C. Carver

IMPORTANCE The response effectiveness of different large language models (LLMs) and various individuals, including medical students, graduate students, and practicing physicians, in pediatric ophthalmology consultations, has not been…

Computation and Language · Computer Science 2023-11-09 Jason Holmes , Rui Peng , Yiwei Li , Jinyu Hu , Zhengliang Liu , Zihao Wu , Huan Zhao , Xi Jiang , Wei Liu , Hong Wei , Jie Zou , Tianming Liu , Yi Shao

Random Number Generation Tasks (RNGTs) are used in psychology for examining how humans generate sequences devoid of predictable patterns. By adapting an existing human RNGT for an LLM-compatible environment, this preliminary study tests…

Artificial Intelligence · Computer Science 2024-08-21 Rachel M. Harrison

Controllable text generation (CTG) by large language models has a huge potential to transform education for teachers and students alike. Specifically, high quality and diverse question generation can dramatically reduce the load on teachers…

Computation and Language · Computer Science 2023-04-14 Sabina Elkins , Ekaterina Kochmar , Jackie C. K. Cheung , Iulian Serban

ChatGPT has changed the AI community and an active research line is the performance evaluation of ChatGPT. A key challenge for the evaluation is that ChatGPT is still closed-source and traditional benchmark datasets may have been used by…

Computation and Language · Computer Science 2024-05-13 Ming Liu , Ran Liu , Ye Zhu , Hua Wang , Youyang Qu , Rongsheng Li , Yongpan Sheng , Wray Buntine

E-learning environments are increasingly harnessing large language models (LLMs) like GPT-3.5 and GPT-4 for tailored educational support. This study introduces an approach that integrates dynamic knowledge graphs with LLMs to offer nuanced…

Artificial Intelligence · Computer Science 2024-12-06 Patrick Ocheja , Brendan Flanagan , Yiling Dai , Hiroaki Ogata

The emergence of advanced Natural Language Processing (NLP) models like ChatGPT has raised concerns among universities regarding AI-driven exam completion. This paper provides a comprehensive evaluation of the proficiency of GPT-4 and…

Physics Education · Physics 2023-06-28 Will Yeadon , Douglas P. Halliday