@inproceedings{4b25a754f7384e43ad407a55c22e0db1,
title = "Does AI Mask AI: Computing Learning Centre Support Early Observations",
abstract = "This poster presents an overview of the initial phase of rolling out an AI tool (PreSS) to identify students at risk of failing or dropping out of introductory programming courses (CS1) that is being implemented as a tool rather than a study. The Computing Learning Centre in TU Dublin is using this tool to proactively identify students who may need additional support at the early stages of CS1. In practice, this involves using the tool in conjunction with other relevant data such as lecture/lab attendance and assessment performance to date. Previously, PreSS was only a model; this is its first live implementation. In its first year of use, PreSS was implemented for 375 students and identified 88 of them as being at risk of failing or dropping out.",
keywords = "AI, Computing Learning Centre, CS1, Introductory Programming",
author = "Wesley Kelly and Karen Nolan and Keith Quille",
note = "Publisher Copyright: {\textcopyright} 2026 Copyright held by the owner/author(s).; 3rd International Conference on Human-Centred AI - Education and Practice, HCAI-ep 2026 ; Conference date: 21-01-2026 Through 22-01-2026",
year = "2026",
month = feb,
day = "16",
doi = "10.1145/3777490.3777515",
language = "English",
series = "HCAI-ep 2026 - Proceedings of the 2026 Conference on Human Centered Artificial Intelligence - Education and Practice",
publisher = "Association for Computing Machinery (ACM)",
pages = "123",
booktitle = "HCAI-ep 2026 - Proceedings of the 2026 Conference on Human Centered Artificial Intelligence - Education and Practice",
address = "United States",
}