@inproceedings{4735a7db1c564c3182ad830c97a1380c,
title = "The use of ChatGPT to generate summative feedback in programming assessments that is consistent, prompt, without bias and scalable",
abstract = "This paper explores the automated integration of ChatGPT into the feedback process for a large-scale and complex university programming assignment. It aims to explore the feasibility of using ChatGPT to facilitate prompt, efficient, and valued feedback to students. The study presents case studies illustrating the use of the ChatGPT API in generating feedback through an automated tool (AutoFeed) developed by the researchers. The findings report on the advantages as well as the limitations of employing Prompt Engineering for this purpose.",
author = "Aidan McGowan and Neil Anderson and Christopher Smith",
year = "2024",
month = jun,
day = "23",
doi = "10.1145/3660853.3660863",
language = "English",
series = "Proceedings of the Cognitive Models and Artificial Intelligence Conference",
publisher = "Association for Computing Machinery",
pages = "39--43",
booktitle = "AICCONF '24: Proceedings of the Cognitive Models and Artificial Intelligence Conference",
address = "United States",
note = "AICCONF '24: Cognitive Models and Artificial Intelligence Conference ; Conference date: 25-05-2024 Through 26-05-2024",
}