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In this paper, we explore the application of large language models (LLMs) for generating code-tracing questions in introductory programming courses. We designed targeted prompts for GPT4, guiding it to generate code-tracing questions based…

Computation and Language · Computer Science 2023-10-25 Aysa Xuemo Fan , Ranran Haoran Zhang , Luc Paquette , Rui Zhang

Education that suits the individual learning level is necessary to improve students' understanding. The first step in achieving this purpose by using large language models (LLMs) is to adjust the textual difficulty of the response to…

Computation and Language · Computer Science 2024-02-23 Seiji Gobara , Hidetaka Kamigaito , Taro Watanabe

Large Language Models (LLMs) have emerged as powerful tools for automating code generation, offering immense potential to enhance programmer productivity. However, their non-deterministic nature and reliance on user input necessitate a…

Software Engineering · Computer Science 2025-02-24 Bruno Pereira Cipriano , Lúcio Studer Ferreira

Large Language Models (LLMs) have shown much promise in powering a variety of software engineering (SE) tools. Offering natural language as an intuitive interaction mechanism, LLMs have recently been employed as conversational ``programming…

Software Engineering · Computer Science 2026-04-15 Jonan Richards

Large language models (LLMs) have shown significant potential to change how we write, communicate, and create, leading to rapid adoption across society. This dissertation examines how individuals and institutions are adapting to and…

Computation and Language · Computer Science 2025-06-24 Weixin Liang

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

In the information era, how learners find, evaluate, and effectively use information has become a challenging issue, especially with the added complexity of large language models (LLMs) that have further confused learners in their…

Information Retrieval · Computer Science 2025-01-07 Yiming Luo , Patrick Cheong-Iao Pang , Shanton Chang

Background: Over the past few decades, the process and methodology of automated question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the…

Artificial Intelligence · Computer Science 2024-12-06 Dominic Lohr , Marc Berges , Abhishek Chugh , Michael Kohlhase , Dennis Müller

Traditional interventions for academic procrastination often fail to capture the nuanced, individual-specific factors that underlie them. Large language models (LLMs) hold immense potential for addressing this gap by permitting open-ended…

Large language models (LLMs) have exhibited exceptional capabilities in natural language understanding and generation, image recognition, and multimodal tasks, charting a course towards AGI and emerging as a central issue in the global…

Computation and Language · Computer Science 2025-11-20 Guoqiang Liang , Jingqian Gong , Mengxuan Li , Gege Lin , Shuo Zhang

Large Language Models (LLMs) are advancing quickly and impacting people's lives for better or worse. In higher education, concerns have emerged such as students' misuse of LLMs and degraded education outcomes. To unpack the ethical concerns…

Incorporating Generative AI (GenAI) and Large Language Models (LLMs) in education can enhance teaching efficiency and enrich student learning. Current LLM usage involves conversational user interfaces (CUIs) for tasks like generating…

Human-Computer Interaction · Computer Science 2024-04-18 Stanislav Pozdniakov , Jonathan Brazil , Solmaz Abdi , Aneesha Bakharia , Shazia Sadiq , Dragan Gasevic , Paul Denny , Hassan Khosravi

Large Language Models (LLMs) are transforming programming practices, offering significant capabilities for code generation activities. While researchers have explored the potential of LLMs in various domains, this paper focuses on their use…

Software Engineering · Computer Science 2026-05-04 Deborah Etsenake , Meiyappan Nagappan

Finding balanced ways to employ Large Language Models (LLMs) in education is a challenge due to inherent risks of poor understanding of the technology and of a susceptible audience. This is particularly so with younger children, who are…

Computers and Society · Computer Science 2025-06-27 Martin Ruskov

Large language models (LLM) are advanced AI systems trained on extensive textual data, leveraging deep learning techniques to understand and generate human-like language. Today's LLMs with billions of parameters are so huge that hardly any…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-14 Sheikh Azizul Hakim , Saem Hasan

Making legal knowledge accessible to non-experts is crucial for enhancing general legal literacy and encouraging civic participation in democracy. However, legal documents are often challenging to understand for people without legal…

Computation and Language · Computer Science 2024-07-03 Hang Jiang , Xiajie Zhang , Robert Mahari , Daniel Kessler , Eric Ma , Tal August , Irene Li , Alex 'Sandy' Pentland , Yoon Kim , Deb Roy , Jad Kabbara

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

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) are transforming information extraction from academic literature, offering new possibilities for knowledge management. This study presents an LLM-based system designed to extract detailed information about…

Information Retrieval · Computer Science 2025-05-29 Jiseung Yoo , Curran Mahowald , Meiyu Li , Wei Ai

Advancements in Large Language Models (LLMs), such as ChatGPT, offer significant opportunities to enhance instructional support in introductory programming courses. While extensive research has explored the effectiveness of LLMs in…

Human-Computer Interaction · Computer Science 2025-05-09 Muntasir Hoq , Jessica Vandenberg , Shuyin Jiao , Seung Lee , Bradford Mott , Narges Norouzi , James Lester , Bita Akram