@inproceedings{7408572aeecb4498b8c65c38cc50117f,
title = "Seven Years Later: Lessons Learned in Automated Assessment",
abstract = "Automatic assessment tools (AATs) are software systems used in teaching environments to automatically evaluate code written by students. We have been using such a system since 2017, in multiple courses and across multiple evaluation types. This paper presents a set of lessons learned from our experience of using said system. These recommendations should help other teachers and instructors who wish to use or already use AATs in creating assessments which give students useful feedback in terms of improving their work and reduce the likelihood of unfair evaluations.",
keywords = "automatic assessment tools, feedback, large language models, learning to program, unit testing",
author = "Cipriano, {Bruno Pereira} and Pedro Alves",
note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; 5th International Computer Programming Education Conference, ICPEC 2024 ; Conference date: 27-06-2024 Through 28-06-2024",
year = "2024",
month = sep,
doi = "10.4230/OASIcs.ICPEC.2024.3",
language = "English",
series = "OpenAccess Series in Informatics",
publisher = "Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing",
pages = "3:1--3:14",
editor = "Santos, {Andre L.} and Maria Pinto-Albuquerque",
booktitle = "5th International Computer Programming Education Conference, ICPEC 2024",
address = "Germany",
}