GitSEED: A Git-backed Automated Assessment Tool for Software Engineering and Programming Education

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F24%3A00380922" target="_blank" >RIV/68407700:21730/24:00380922 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1145/3649165.3690106" target="_blank" >https://doi.org/10.1145/3649165.3690106</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3649165.3690106" target="_blank" >10.1145/3649165.3690106</a>

Result language

angličtina

Original language name

GitSEED: A Git-backed Automated Assessment Tool for Software Engineering and Programming Education

Original language description

Due to the substantial number of enrollments in programming courses, a key challenge is delivering personalized feedback to students. The nature of this feedback varies significantly, contingent on the subject and the chosen evaluation method. However, tailoring current Automated Assessment Tools (AATs) to integrate other program analysis tools is not straightforward. Moreover, AATs usually support only specific programming languages, providing feedback exclusively through dedicated websites based on test suites. This paper introduces GitSEED, a language-agnostic automated assessment tool designed for Programming Education and Software Engineering (SE) and backed by GitLab. The students interact with GitSEED through GitLab. Using GitSEED, students in Computer Science (CS) and SE can master the fundamentals of git while receiving personalized feedback on their programming assignments and projects. Furthermore, faculty members can easily tailor GitSEED's pipeline by integrating various code evaluation tools (e.g., memory leak detection, fault localization, program repair, etc.) to offer personalized feedback that aligns with the needs of each CS/SE course. Our experiments assess GitSEED's efficacy via comprehensive user evaluation, examining the impact of feedback mechanisms and features on student learning outcomes. Findings reveal positive correlations between GitSEED usage and student engagement.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

SIGCSE Virtual 2024: Proceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 1

ISBN

979-8-4007-0598-4

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

165-171

Publisher name

The ACM Digital Library

Place of publication

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Event location

virtual

Event date

Dec 5, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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