Autors: Ivanova, M. S., Ilieva, R. Y.
Title: Students’ Unsupervised Experience in Eassessment With the Tesla System
Keywords: students’ unsupervised experience, eAssessment, TeSLA, fuzzy approach, the shortest path

Abstract: The concept of eAssessment with the adaptive and trust-based TeSLA system is introduced. The TeSLA system is an innovative product developed according to the TeSLA project supported by the European Commission in the scope of the H2020 programme. Students' unsupervised experience in the eAssessment framework during the performed third pilot in the course Electronic Servicing in Public Administration is examined and evaluated through applying the fuzzy approach and the shortest path method. Analysis of the results, as well as relevant discussion and conclusions are proposed. The findings point out the possible paths in the eAssessment environment, consisting of Moodle Learning Management System and the TeSLA system, under unsupervised conditions for achieving rich experience by students. Also, the shortest path is obtained and discussed.

References

    Issue

    The International Conference on High Technology for Sustainable Development "HiTech 2018", vol. CFP18Q62-CDR, pp. 130-134, 2018, Bulgaria, IEEE, ISBN 978-1-5386-7038-5/DOI: 10.1109/HiTech.2018.8566622

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    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus