Formative assessment strategies for students' conceptions—The potential of learning analytics

J Stanja, W Gritz, J Krugel, A Hoppe… - British Journal of …, 2023 - Wiley Online Library
Formative assessment is considered to be helpful in students' learning support and teaching
design. Following Aufschnaiter's and Alonzo's framework, formative assessment practices of …

Automatic generation of programming exercises and code explanations using large language models

S Sarsa, P Denny, A Hellas, J Leinonen - Proceedings of the 2022 ACM …, 2022 - dl.acm.org
This article explores the natural language generation capabilities of large language models
with application to the production of two types of learning resources common in …

A systematic review of empirical studies using log data from open‐ended learning environments to measure science and engineering practices

KD Wang, JM Cock, T Käser… - British Journal of …, 2023 - Wiley Online Library
Technology‐based, open‐ended learning environments (OELEs) can capture detailed
information of students' interactions as they work through a task or solve a problem …

Experiences from using code explanations generated by large language models in a web software development e-book

S MacNeil, A Tran, A Hellas, J Kim, S Sarsa… - Proceedings of the 54th …, 2023 - dl.acm.org
Advances in natural language processing have resulted in large language models (LLMs)
that can generate code and code explanations. In this paper, we report on our experiences …

Exploring the responses of large language models to beginner programmers' help requests

A Hellas, J Leinonen, S Sarsa, C Koutcheme… - Proceedings of the …, 2023 - dl.acm.org
Background and Context: Over the past year, large language models (LLMs) have taken the
world by storm. In computing education, like in other walks of life, many opportunities and …

How ChatGPT will change software engineering education

M Daun, J Brings - Proceedings of the 2023 Conference on Innovation …, 2023 - dl.acm.org
This position paper discusses the potential for using generative AIs like ChatGPT in software
engineering education. Currently, discussions center around potential threats emerging from …

Towards giving timely formative feedback and hints to novice programmers

J Jeuring, H Keuning, S Marwan, D Bouvier… - Proceedings of the …, 2022 - dl.acm.org
Every year, millions of students learn how to write programs. Learning activities for
beginners almost always include programming tasks that require a student to write a …

Large Language Models (GPT) for automating feedback on programming assignments

M Pankiewicz, RS Baker - arXiv preprint arXiv:2307.00150, 2023 - arxiv.org
Addressing the challenge of generating personalized feedback for programming
assignments is demanding due to several factors, like the complexity of code syntax or …

Gpt-3 vs object oriented programming assignments: An experience report

BP Cipriano, P Alves - Proceedings of the 2023 Conference on …, 2023 - dl.acm.org
Recent studies show that AI-driven code generation tools, such as Large Language Models,
are able to solve most of the problems usually presented in introductory programming …

Automated grading and feedback tools for programming education: A systematic review

M Messer, NCC Brown, M Kölling, M Shi - ACM Transactions on …, 2024 - dl.acm.org
We conducted a systematic literature review on automated grading and feedback tools for
programming education. We analysed 121 research papers from 2017 to 2021 inclusive and …