Bridging the Gap between Project-Oriented and Exercise-Oriented Automatic Assessment Tools

Bruno Pereira Cipriano, Bernardo Baltazar, Nuno Fachada, Athanasios Vourvopoulos, Pedro Alves

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In this study, we present the DP Plugin for IntelliJ IDEA, designed to extend the Drop Project (DP) Automatic Assessment Tool (AAT) by making it more suitable for handling small exercises in exercise-based learning environments. Our aim was to address the limitations of DP in supporting small assignments while retaining its strengths in project-based learning. The plugin leverages DP’s REST API to streamline the submission process, integrating assignment instructions and feedback directly within the IDE. A student survey conducted during the 2022/23 academic year revealed a positive reception, highlighting benefits such as time efficiency and ease of use. Students also provided valuable feedback, leading to various improvements that have since been integrated into the plugin. Despite these promising results, the study is limited by the relatively small percentage of survey respondents. Our findings suggest that an IDE plugin can significantly improve the usability of project-oriented AATs for small exercises, informing the development of future educational tools suitable for mixed project-based and exercise-based learning environments.

Original languageEnglish
Article number7
Pages (from-to)162
Number of pages1
JournalComputers
Volume13
Issue number7
DOIs
Publication statusPublished - 30 Jun 2024

Bibliographical 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.

Funding

This research was funded by the Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia (FCT) through the LARSyS\u2014FCT Project (DOI: 10.54499/LA/P/0083/2020, 10.54499/UIDP/50009/2020, and 10.54499/UIDB/50009/2020) and COPELABS\u2014FCT Project (DOI: 10.54499/UIDB/04111/2020). Author Nuno Fachada acknowledges his FCT grant (DOI: 10.54499/CEECINST/00002/2021/CP2788/CT0001).

FundersFunder number
Fundação para a Ciência e a Tecnologia
Fundação para a Ciência e a Tecnologia

Keywords

  • IntelliJ IDEA
  • automated assessment
  • computer science education
  • hci
  • programming education

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