eALGO: an automated assessment tool of flowchart programs for novices

Aiouni, Rym; Bey, Anis; Bensebaa, Tahar

doi:10.1504/ijil.2018.088785

Cited by 2 publications

(1 citation statement)

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“…In addition to this problem, the authors cite the problem of failure to learn these types of activities as studies have proven. Knowing that the studies confirm that the rate of failure or abandonment of the programming in the introductory courses in the first university cycle varies from 25 to 80% of the share in the world (Aiouni et al, 2018). This problem of programming failures does not only concern our institution.…”

Section: Introductionmentioning

confidence: 84%

System-Based Ontology for Assessing Learner's Programming Practical Works Activities (S_Onto_ALPPWA)

Boussaha

Mokhati

Hanneche

2021

International Journal of Web-Based Learning and Teaching Technologies

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This article introduces a new learner's self-assessment environment as CEHL that allows comparison of learners' programs with those elaborated by the teacher. The subjacent idea is to indirectly compare programs through their graphical representations described by ontologies. So, CEHL developed so-called S_Onto_ALPPWA which allows comparing learners' productions with those elaborated by the teacher. The tool allows essentially (1) generating two ontologies from the learner's program and the teacher's one, (2) applies some matching algorithms for measuring degrees of similarity and dissimilarity between learner's program and teacher's one, and (3) assessing the learners by giving them a list of semantic and syntactic errors detected in their programs. The present work is an extension of the authors' previous work, which did not take into account semantics errors. In the present work, they have managed to detect syntactic and semantic errors by using ontologies. To demonstrate the effectiveness of the system, two prospective experiments were conducted. The obtained results were very encouraging.

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Section: Introductionmentioning

confidence: 84%

System-Based Ontology for Assessing Learner's Programming Practical Works Activities (S_Onto_ALPPWA)

Boussaha

Mokhati

Hanneche

2021

International Journal of Web-Based Learning and Teaching Technologies

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Computer Programming Practical Works Activities

Boussaha

Hanneche

Zakaria

2022

Virtual Technologies and E-Collaboration for the Future of Global Business

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The most important cause to the difficulties many freshmen feel to learn programming is their lack of generic problem solving skills and programming debugging skills on their own. On this basis, this chapter introduces a new learner's self-assessment environment as CEHL. The proposed system helps the learner to take full responsibility for learning and completing his work by relying on him to correct his mistakes. CEHL developed so-called S_Onto_ALPPWA in its current second version allowing comparing learners' productions with those elaborated by the teacher. The authors conducted to analyze the effectiveness of two developed versions of an automated assessment scoring tool. Version 1 and Version 2 of this tool are detailed in authors previously published articles by comparing them with the expert scoring. So to achieve this objective, the researchers use a correlational research design to examine the correlations between S_Onto_ALPPWA and expert raters' performances.

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eALGO: an automated assessment tool of flowchart programs for novices

Cited by 2 publications

References 0 publications

System-Based Ontology for Assessing Learner's Programming Practical Works Activities (S_Onto_ALPPWA)

System-Based Ontology for Assessing Learner's Programming Practical Works Activities (S_Onto_ALPPWA)

Computer Programming Practical Works Activities

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