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Competency-Based E-Learning Systems: Automated Integration of User Competency Portfolio

Author

Listed:
  • Asta Margienė

    (Department of Information Technology, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania)

  • Simona Ramanauskaitė

    (Department of Information Technology, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania)

  • Justas Nugaras

    (Department of Creative Communication, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania)

  • Pavel Stefanovič

    (Department of Information Systems, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania)

  • Antanas Čenys

    (Department of Information Systems, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania)

Abstract

In today’s learning environment, e-learning systems are becoming a necessity. A competency-based student portfolio system is also gaining popularity. Due to the variety of e-learning systems and the increasing mobility of students between different learning institutions or e-learning systems, a higher level of automated competency portfolio integration is required. Increasing mobility and complexity makes manual mapping of student competencies unsustainable. The purpose of this paper is to automate the mapping of e-learning system competencies with student-gained competencies from other systems. Natural language processing, text similarity estimation, and fuzzy logic applications were used to implement the automated mapping process. Multiple cases have been tested to determine the effectiveness of the proposed solution. The solution has been shown to be able to accurately predict the coverage of system course competency by students’ course competency with an accuracy of approximately 77%. As it is not possible to achieve 100% mapping accuracy, the competency mapping should be executed semi-automatically by applying the proposed solution to obtain the initial mapping, and then manually revising the results as necessary. When compared to a fully manual mapping of competencies, it reduces workload and increases resource sustainability.

Suggested Citation

  • Asta Margienė & Simona Ramanauskaitė & Justas Nugaras & Pavel Stefanovič & Antanas Čenys, 2022. "Competency-Based E-Learning Systems: Automated Integration of User Competency Portfolio," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16544-:d:999054
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    References listed on IDEAS

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    1. Kin Cheung & Bin Li & Peter Benz & Ka Ming Chow & Jeremy Tzi Dong Ng & Wilson Yeung Yuk Kwok & Hilda Tsang & Dicky Nok Hang Leung & Janus Ka Yee Lui & Yee Na Li & Eunice So & Alice Leung, 2021. "Prototype Development of a Cross-Institutional Credit Transfer Information System for Community College Transfer Students," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    2. Kipper, Liane Mahlmann & Iepsen, Sandra & Dal Forno, Ana Julia & Frozza, Rejane & Furstenau, Leonardo & Agnes, Jéssica & Cossul, Danielli, 2021. "Scientific mapping to identify competencies required by industry 4.0," Technology in Society, Elsevier, vol. 64(C).
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