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An emerging method to cheaply improve a weaker language model is to finetune it on outputs from a stronger model, such as a proprietary system like ChatGPT (e.g., Alpaca, Self-Instruct, and others). This approach looks to cheaply imitate…

Computation and Language · Computer Science 2023-05-26 Arnav Gudibande , Eric Wallace , Charlie Snell , Xinyang Geng , Hao Liu , Pieter Abbeel , Sergey Levine , Dawn Song

Large Language Models (LLMs) have taken the world by storm, and students are assumed to use related tools at a great scale. In this research paper we aim to gain an understanding of how introductory programming students chat with LLMs and…

Artificial Intelligence · Computer Science 2024-05-30 Andreas Scholl , Daniel Schiffner , Natalie Kiesler

Recent observations have underscored a disparity between the inflated benchmark scores and the actual performance of LLMs, raising concerns about potential contamination of evaluation benchmarks. This issue is especially critical for…

Computation and Language · Computer Science 2024-04-05 Chunyuan Deng , Yilun Zhao , Xiangru Tang , Mark Gerstein , Arman Cohan

This work contributes to the scarce empirical literature on LLM-based interactive homework in real-world educational settings and offers a practical, scalable solution for improving homework in schools. Homework is an important part of…

Computers and Society · Computer Science 2024-09-25 Alessandro Vanzo , Sankalan Pal Chowdhury , Mrinmaya Sachan

Recent research highlights the significant potential of ChatGPT for text annotation in social science research. However, ChatGPT is a closed-source product which has major drawbacks with regards to transparency, reproducibility, cost, and…

Computation and Language · Computer Science 2025-02-26 Ross Deans Kristensen-McLachlan , Miceal Canavan , Márton Kardos , Mia Jacobsen , Lene Aarøe

Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation. In this paper, we explore the potential of using Large Language Models (LLMs) to author Intelligent…

Computation and Language · Computer Science 2024-04-26 Sankalan Pal Chowdhury , Vilém Zouhar , Mrinmaya Sachan

The rapid evolution of Large Language Models (LLMs) has made them powerful tools for enhancing student writing. This study explores the extent and limitations of LLMs in assisting secondary-level English as a Foreign Language (EFL) students…

Human-Computer Interaction · Computer Science 2026-04-20 Hengky Susanto , David James Woo , Chingyi Yeung , Stephanie Wing Yan Lo-Philip , Chi Ho Yeung

This study examines the AI-powered grading tool "AI Grading Assistant" by the German company Fobizz, designed to support teachers in evaluating and providing feedback on student assignments. Against the societal backdrop of an overburdened…

Computers and Society · Computer Science 2025-01-23 Rainer Muehlhoff , Marte Henningsen

The feedback provided by current testing education tools about the deficiencies in a student's test suite either mimics industry code coverage tools or lists specific instructor test cases that are missing from the student's test suite.…

Software Engineering · Computer Science 2020-11-30 Lucas Cordova , Jeffrey Carver , Gursimran Walia , Noah Gershmel

ChatGPT,a cutting-edge AI-powered Chatbot,can quickly generate responses on given commands. While it was reported that ChatGPT had the capacity to deliver useful feedback, it is still unclear about its effectiveness compared with…

Computation and Language · Computer Science 2023-09-06 Siyi Cao , Linping Zhong

Large Language Model (LLM) assistants, such as ChatGPT, have emerged as potential alternatives to search methods for helping users navigate complex, feature-rich software. LLMs use vast training data from domain-specific texts, software…

Human-Computer Interaction · Computer Science 2024-02-14 Anjali Khurana , Hari Subramonyam , Parmit K Chilana

Large Language Models (LLMs) show promise for automated grading, but their outputs can be unreliable. Rather than improving grading accuracy directly, we address a complementary problem: \textit{predicting when an LLM grader is likely to be…

Computation and Language · Computer Science 2026-04-01 Robinson Ferrer , Damla Turgut , Zhongzhou Chen , Shashank Sonkar

While Large language model (LLM)-based programming assistants such as CoPilot and ChatGPT can help improve the productivity of professional software developers, they can also facilitate cheating in introductory computer programming courses.…

Computation and Language · Computer Science 2024-10-16 Saiful Islam Salim , Rubin Yuchan Yang , Alexander Cooper , Suryashree Ray , Saumya Debray , Sazzadur Rahaman

As the use of LLM chatbots by students and researchers becomes more prevalent, universities are pressed to develop AI strategies. One strategy that many universities pursue is to customize pre-trained LLM as-a-service (LLMaaS). While most…

Human-Computer Interaction · Computer Science 2026-02-10 Leon Hannig , Annika Bush , Meltem Aksoy , Tim Trappen , Steffen Becker , Greta Ontrup

The rapid advancements in large language models (LLMs) have greatly expanded the potential for automated code-related tasks. Two primary methodologies are used in this domain: prompt engineering and fine-tuning. Prompt engineering involves…

Software Engineering · Computer Science 2025-02-21 Jiho Shin , Clark Tang , Tahmineh Mohati , Maleknaz Nayebi , Song Wang , Hadi Hemmati

This study explores the integration of Large Language Models (LLMs) into the grading and appeal resolution process in computer science education. We introduce AI-PAT, an AI-powered assessment tool that leverages LLMs to evaluate computer…

Human-Computer Interaction · Computer Science 2025-04-21 I. Aytutuldu , O. Yol , Y. S. Akgul

Conversations with LMs involve two participants: a human user leading the conversation, and an LM assistant responding to the user's request. To satisfy this specific role, LMs are post-trained to be helpful assistants -- optimized to…

Computation and Language · Computer Science 2026-03-24 Tarek Naous , Philippe Laban , Wei Xu , Jennifer Neville

While large language models (LLMs) are increasingly playing a pivotal role in education by providing instantaneous, adaptive responses, their potential to promote critical thinking remains understudied. In this paper, we fill such a gap and…

Human-Computer Interaction · Computer Science 2024-09-10 Lucile Favero , Juan Antonio Pérez-Ortiz , Tanja Käser , Nuria Oliver

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

Lab results are often confusing and hard to understand. Large language models (LLMs) such as ChatGPT have opened a promising avenue for patients to get their questions answered. We aim to assess the feasibility of using LLMs to generate…

Computation and Language · Computer Science 2024-04-23 Zhe He , Balu Bhasuran , Qiao Jin , Shubo Tian , Karim Hanna , Cindy Shavor , Lisbeth Garcia Arguello , Patrick Murray , Zhiyong Lu