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Large language models (LLMs), including OpenAI's GPT-series, have made significant advancements in recent years. Known for their expertise across diverse subject areas and quick adaptability to user-provided prompts, LLMs hold unique…

Human-Computer Interaction · Computer Science 2025-07-09 Michael Vaccaro , Mikayla Friday , Arash Zaghi

Automated feedback generation for introductory programming assignments is useful for programming education. Most works try to generate feedback to correct a student program by comparing its behavior with an instructor's reference program on…

Software Engineering · Computer Science 2021-07-01 Umair Z. Ahmed , Zhiyu Fan , Jooyong Yi , Omar I. Al-Bataineh , Abhik Roychoudhury

Large-scale language models such as GPT-3 are excellent few-shot learners, allowing them to be controlled via natural text prompts. Recent studies report that prompt-based direct classification eliminates the need for fine-tuning but lacks…

Computation and Language · Computer Science 2021-11-19 Kang Min Yoo , Dongju Park , Jaewook Kang , Sang-Woo Lee , Woomyeong Park

Many believe that use of generative AI as a private tutor has the potential to shrink access and achievement gaps between students and schools with abundant resources versus those with fewer resources. Shrinking the gap is possible only if…

Other Statistics · Statistics 2025-06-12 Monnie McGee , Bivin Sadler

The new capabilities of generative artificial intelligence tools Generative AI, such as ChatGPT, allow users to interact with the system in intuitive ways, such as simple conversations, and receive (mostly) good-quality answers. These…

Human-Computer Interaction · Computer Science 2024-10-14 Matin Amoozadeh , Daye Nam , Daniel Prol , Ali Alfageeh , James Prather , Michael Hilton , Sruti Srinivasa Ragavan , Mohammad Amin Alipour

We evaluated the capability of generative pre-trained transformers (GPT), to pass assessments in introductory and intermediate Python programming courses at the postsecondary level. Discussions of potential uses (e.g., exercise generation,…

Artificial Intelligence · Computer Science 2023-10-11 Jaromir Savelka , Arav Agarwal , Christopher Bogart , Yifan Song , Majd Sakr

Despite growing interest in using LLMs to generate feedback on students' writing, little is known about how students respond to AI-mediated versus human-provided feedback. We address this gap through a randomized controlled trial in a large…

Human-Computer Interaction · Computer Science 2026-02-25 Xinyi Lu , Kexin Phyllis Ju , Mitchell Dudley , Larissa Sano , Xu Wang

This study examines how user-provided suggestions affect Large Language Models (LLMs) in a simulated educational context, where sycophancy poses significant risks. Testing five different LLMs from the OpenAI GPT-4o and GPT-4.1 model classes…

Computation and Language · Computer Science 2025-06-13 Chuck Arvin

Providing personalized, detailed feedback at scale in large undergraduate STEM courses remains a persistent challenge. We present an empirically evaluated practice exam system that integrates AI generated feedback with targeted textbook…

Human-Computer Interaction · Computer Science 2025-05-20 Mak Ahmad , Prerna Ravi , David Karger , Marc Facciotti

Large Language Models (LLMs), such as ChatGPT, are quickly advancing AI to the frontiers of practical consumer use and leading industries to re-evaluate how they allocate resources for content production. Authoring of open educational…

Computers and Society · Computer Science 2023-02-15 Zachary A. Pardos , Shreya Bhandari

This paper presents the use of Retrieval Augmented Generation (RAG) to improve the feedback generated by Large Language Models for programming tasks. For this purpose, corresponding lecture recordings were transcribed and made available to…

Computation and Language · Computer Science 2024-09-16 Sven Jacobs , Steffen Jaschke

Recent advancements in artificial intelligence (AI) and machine learning have reignited interest in their impact on Computer-based Learning (CBL). AI-driven tools like ChatGPT and Intelligent Tutoring Systems (ITS) have enhanced learning…

Computers and Society · Computer Science 2025-05-07 Mohsen Balavar , Wenli Yang , David Herbert , Soonja Yeom

Large Language Models (LLMs) have shown remarkable capabilities in natural language processing, mathematical problem solving, and tasks related to program synthesis. However, their effectiveness in long-term planning and higher-order…

Artificial Intelligence · Computer Science 2024-10-08 Erik Wu , Sayan Mitra

As large language models (LLMs) become more common in educational tools and programming environments, questions arise about how these systems should interact with users. This study investigates how different interaction styles with…

Human-Computer Interaction · Computer Science 2025-07-08 Kai Deng

End of semester student evaluations of teaching are the dominant mechanism for providing feedback to academics on their teaching practice. For large classes, however, the volume of feedback makes these tools impractical for this purpose.…

Computers and Society · Computer Science 2024-07-03 Mike Zhang , Euan D Lindsay , Frederik Bode Thorbensen , Danny Bøgsted Poulsen , Johannes Bjerva

Despite their unprecedented success, even the largest language models make mistakes. Similar to how humans learn and improve using feedback, previous work proposed providing language models with natural language feedback to guide them in…

Computation and Language · Computer Science 2023-07-13 Afra Feyza Akyürek , Ekin Akyürek , Aman Madaan , Ashwin Kalyan , Peter Clark , Derry Wijaya , Niket Tandon

ChatGPT is an AI language model developed by OpenAI that can understand and generate human-like text. It can be used for a variety of use cases such as language generation, question answering, text summarization, chatbot development,…

Human-Computer Interaction · Computer Science 2023-10-09 Ishika Joshi , Ritvik Budhiraja , Harshal Dev , Jahnvi Kadia , M. Osama Ataullah , Sayan Mitra , Dhruv Kumar , Harshal D. Akolekar

Large-scale language models (LLMs), such as ChatGPT, are becoming increasingly sophisticated and exhibit human-like capabilities, playing an essential role in assisting humans in a variety of everyday tasks. An important application of AI…

Computers and Society · Computer Science 2023-12-07 Yugen Sato , Taisei Nakajima , Tatsuki Kawamoto , Tomohiro Takagi

Large language models such as Open AI's Generative Pre-trained Transformer (GPT) models are proficient at answering questions, but their knowledge is confined to the information present in their training data. This limitation renders them…

Computation and Language · Computer Science 2023-08-24 Saba Rahimi , Tucker Balch , Manuela Veloso

This study aims to develop an adaptive learning platform that leverages generative AI to automate assessment creation and feedback delivery. The platform provides self-correcting tests and personalised feedback that adapts to each learners…

Human-Computer Interaction · Computer Science 2025-11-07 Riya Gill , Ievgeniia Kuzminykh , Maher Salem , Bogdan Ghita
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