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Adaptation of Automated Assessment System for Large Programming Courses

Authors Marek Horváth , Tomáš Kormaník , Jaroslav Porubän

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Author Details

Marek Horváth
  • Department of Computers and Informatics, FEI TU of Košice, Slovakia
Tomáš Kormaník
  • Department of Computers and Informatics, FEI TU of Košice, Slovakia
Jaroslav Porubän
  • Department of Computers and Informatics, FEI TU of Košice, Slovakia

Funding

This work was supported by project VEGA No. 1/0630/22 “Lowering Programmers’ Cognitive Load Using Context-Dependent Dialogs”.

Cite AsGet BibTex

Marek Horváth, Tomáš Kormaník, and Jaroslav Porubän. Adaptation of Automated Assessment System for Large Programming Courses. In 5th International Computer Programming Education Conference (ICPEC 2024). Open Access Series in Informatics (OASIcs), Volume 122, pp. 4:1-4:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/OASIcs.ICPEC.2024.4

Abstract

This paper presents a new automated assessment system tailored for programming courses, addressing the challenge of evaluating a large number of students in extensive courses at the Technical University of Košice. The primary issue with current systems is their inability to handle massive course loads while ensuring objective evaluation and timely feedback. Our proposed system enhances the scalability of the assessment process, allowing for the simultaneous handling of a greater volume of assignments. It is designed to provide regular and systematic feedback to students, supporting their continuous learning and improvement. To ensure the objectivity of evaluations, the system utilizes a variety of unit test suites, selecting them randomly in each assessment to discourage students from hardcoding solutions. This approach not only supports fair and precise assessments but also significantly reduces the administrative burden on educators, enabling them to meet a wide range of educational demands.

Subject Classification

ACM Subject Classification
  • Applied computing → Interactive learning environments
  • Applied computing → Computer-assisted instruction
  • Software and its engineering → Software creation and management
Keywords
  • Automated Assessment
  • Informatics Education
  • Programming Feedback Systems
  • Continuous Integration in Education
  • Code Quality Analysis
  • Educational Technology
  • Computer Science Education

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