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Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language Processing tasks (NLP), such as text generation and understanding. Recently, these models have extended their capabilities to coding tasks,…

Machine Learning · Computer Science 2024-10-23 Nishat Raihan , Mohammed Latif Siddiq , Joanna C. S. Santos , Marcos Zampieri

Large Language Models (LLMs) have upended decades of pedagogy in computing education. Students previously learned to code through \textit{writing} many small problems with less emphasis on code reading and comprehension. Recent research has…

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

Large Language Models (LLMs) have demonstrated their remarkable capabilities in numerous fields. This survey focuses on how LLMs empower users, regardless of their technical background, to use human languages to automatically generate…

Software Engineering · Computer Science 2025-04-03 Nam Huynh , Beiyu Lin

Advances in natural language processing have resulted in large language models (LLMs) that are capable of generating understandable and sensible written text. Recent versions of these models, such as OpenAI Codex and GPT-3, can generate…

Software Engineering · Computer Science 2022-11-07 Stephen MacNeil , Andrew Tran , Arto Hellas , Joanne Kim , Sami Sarsa , Paul Denny , Seth Bernstein , Juho Leinonen

Large Language Models (LLMs) have emerged as coding assistants, capable of generating source code from natural language prompts. With the increasing adoption of LLMs in software development, academic research and industry based projects are…

Reasoning about code and explaining its purpose are fundamental skills for computer scientists. There has been extensive research in the field of computing education on the relationship between a student's ability to explain code and other…

Computers and Society · Computer Science 2024-04-03 Juho Leinonen , Paul Denny , Stephen MacNeil , Sami Sarsa , Seth Bernstein , Joanne Kim , Andrew Tran , Arto Hellas

Large Language Models (LLMs) like GPT-3 and GPT-4 have emerged as groundbreaking innovations with capabilities that extend far beyond traditional AI applications. These sophisticated models, trained on massive datasets, can generate…

Software Engineering · Computer Science 2025-05-21 Md Asraful Haque

Recent advances in AI, machine learning, and NLP have led to the development of a new generation of Large Language Models (LLMs) that are trained on massive amounts of data and often have trillions of parameters. Commercial applications…

Computation and Language · Computer Science 2024-04-05 Nishat Raihan , Dhiman Goswami , Sadiya Sayara Chowdhury Puspo , Christian Newman , Tharindu Ranasinghe , Marcos Zampieri

Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s). Although the main focus of general-purpose LLMs is not code generation, they have shown promising results in the domain.…

Software Engineering · Computer Science 2024-01-30 Sanka Rasnayaka , Guanlin Wang , Ridwan Shariffdeen , Ganesh Neelakanta Iyer

There is a significant potential for coding skills to transition fully to natural language in the future. In this context, large language models (LLMs) have shown impressive natural language processing abilities to generate sophisticated…

Materials Science · Physics 2024-06-25 Prathamesh Satpute , Saurabh Tiwari , Maneet Gupta , Supriyo Ghosh

Recent research has explored the creation of questions from code submitted by students. These Questions about Learners' Code (QLCs) are created through program analysis, exploring execution paths, and then creating code comprehension…

Computers and Society · Computer Science 2024-04-19 Teemu Lehtinen , Charles Koutcheme , Arto Hellas

Large Language Models (LLMs) have garnered remarkable advancements across diverse code-related tasks, known as Code LLMs, particularly in code generation that generates source code with LLM from natural language descriptions. This…

Computation and Language · Computer Science 2025-10-28 Juyong Jiang , Fan Wang , Jiasi Shen , Sungju Kim , Sunghun Kim

As Large Language Models (LLMs) and other forms of Generative AI permeate various aspects of our lives, their application for learning and education has provided opportunities and challenges. This paper presents an investigation into the…

Computers and Society · Computer Science 2023-06-06 Daniel Leiker , Sara Finnigan , Ashley Ricker Gyllen , Mutlu Cukurova

Large Language Models (LLMs) are revolutionizing the field of computing education with their powerful code-generating capabilities. Traditional pedagogical practices have focused on code writing tasks, but there is now a shift in importance…

Human-Computer Interaction · Computer Science 2023-11-13 Paul Denny , Juho Leinonen , James Prather , Andrew Luxton-Reilly , Thezyrie Amarouche , Brett A. Becker , Brent N. Reeves

Large Language Models (LLMs), such as GitHub Copilot and ChatGPT have become popular among programming students. Students use LLMs to assist them in programming courses, including generating source code. Previous work has evaluated the…

Artificial Intelligence · Computer Science 2025-04-22 Emir Catir , Robin Claesson , Rodothea Myrsini Tsoupidi

The recent, widespread availability of Large Language Models (LLMs) like ChatGPT and GitHub Copilot may impact introductory programming courses (CS1) both in terms of what should be taught and how to teach it. Indeed, recent research has…

Computers and Society · Computer Science 2024-06-25 Annapurna Vadaparty , Daniel Zingaro , David H. Smith , Mounika Padala , Christine Alvarado , Jamie Gorson Benario , Leo Porter

With their remarkable ability to generate code, large language models (LLMs) are a transformative technology for computing education practice. They have created an urgent need for educators to rethink pedagogical approaches and teaching…

Human-Computer Interaction · Computer Science 2023-08-01 Paul Denny , Juho Leinonen , James Prather , Andrew Luxton-Reilly , Thezyrie Amarouche , Brett A. Becker , Brent N. Reeves

Recent advancements in artificial intelligence (AI) are fundamentally reshaping computing, with large language models (LLMs) now effectively being able to generate and interpret source code and natural language instructions. These emergent…

Automating code documentation through explanatory text can prove highly beneficial in code understanding. Large Language Models (LLMs) have made remarkable strides in Natural Language Processing, especially within software engineering tasks…

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