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eALGO: an automated assessment tool of flowchart programs for novices

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Listed:
  • Rym Aiouni
  • Anis Bey
  • Tahar Bensebaa

Abstract

Programming skills become ever more important and a core competency in 21st century and for its learning students need learning environments where they can practice and receive immediate assessment that help them to progress. In this paper we have developed eALGO, an automated assessment tool of flowchart programs that allows the students to practice algorithms problems. The assessment method used in eALGO is based on graph matching. To validate the method, an experimental study was conducted for investigating the effects of the automated flowchart algorithms scoring system compared to teachers scoring. About 35 flowchart algorithms were selected during a lab session and scored by eALGO system and after that scored by five teachers. Statistical analysis of the results reveals that eALGO tool seems to correlate well with teachers. Furthermore, a strong correlation was noticed between eALGO and the average scores of teachers. Hence, the findings of this study show that using automated assessment of flowcharts algorithms based on graph matching methods can help teachers to alleviate the scoring load, while allowing students learning designing algorithms.

Suggested Citation

  • Rym Aiouni & Anis Bey & Tahar Bensebaa, 2018. "eALGO: an automated assessment tool of flowchart programs for novices," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 23(1), pages 5-18.
    • Handle: RePEc:ids:ijilea:v:23:y:2018:i:1:p:5-18
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    Cited by:

    1. Karima Boussaha & Farid Mokhati & Amira Hanneche, 2021. "System-Based Ontology for Assessing Learner's Programming Practical Works Activities (S_Onto_ALPPWA)," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 16(5), pages 80-107, September.

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