Utilize este identificador para referenciar este registo: http://hdl.handle.net/10437/12849
Título: Drop Project: an automatic assessment tool for programming assignments
Autores: Cipriano, Bruno Pereira
Fachada, Nuno
Alves, Pedro
Palavras-chave: INFORMÁTICA
AVALIAÇÃO DA EDUCAÇÃO
PROGRAMAÇÃO DE COMPUTADORES
ENSINO DA INFORMÁTICA
COMPUTER SCIENCE
EDUCATIONAL ASSESSMENT
COMPUTER PROGRAMMING
COMPUTER SCIENCE TEACHING
Editora: Elsevier
Citação: Cipriano, B.P., Fachada, N. & Alves, P. (2022). Drop Project: An automatic assessment tool for programming assignments. SoftwareX, 18. 101079.
Resumo: Automated assessment tools (AATs) are software systems used in teaching environments to automate the evaluation of computer programs implemented by students. These tools can be used to stimulate the interest of computer science students in programming courses by providing quick feedback on their work and highlighting their mistakes. Despite the abundance of such tools, most of them are developed for a specific course and are not production-ready. Others lack advanced features that are required for certain pedagogical goals (e.g. Git integration) and/or are not flexible enough to be used with students having different computer literacy levels, such as first year and second year students. In this paper we present Drop Project (DP), an automated assessment tool built on top of the Maven build automation software. We have been using DP in our teaching activity since 2018, having received more than fifty thousand submissions between projects, classroom exercises, tests and homework assignments. The tool’s automated feedback has allowed us to raise the difficulty level of the course’s projects, while the grading process has become more efficient and consistent between different teachers. DP is an extensively tested, production-ready tool. The software’s code and documentation are available in GitHub under an open-source software license. Keywords: Automated assessment ;Computer science education; Programming education ; Unit testing
Descrição: SoftwareX 18 (2022) 101079
URI: https://doi.org/10.1016/j.softx.2022.101079
http://hdl.handle.net/10437/12849
ISSN: 2352-7110
Aparece nas colecções:FE - Artigos de Revistas Internacionais com Arbitragem Científica

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