Autors: Rodríguez M. E., Baneres D., Ivanova, M. S., Durcheva, M. I.
Title: Case Study Analysis on Blended and Online Institutions by Using a Trustworthy System
Keywords: Trustworthy system, Authentication, Authorship, Blended learning, Fully online learning

Abstract: For online and blended education institutions, there is a severe handicap when they need to justify how the authentication and authorship of their students are guaranteed during the whole instructional process. Different approaches have been proposed in the past but most of them only depend on specific technological solutions. These solutions in order to be successfully accepted in educational settings have to be transparently integrated with the educational process according to pedagogical criteria. This paper analyses the results of the first pilot based on the TeSLA trustworthy system for a blended and a fully online institutions focused on engineering academic programs.

References

    Issue

    20th International Conference on Technology Enhanced Assessment TEA 2017: Technology Enhanced Assessment, vol. 829, pp. 40-53, 2017, Spain, Springer, Cham, Print ISBN:978-3-319-97806-2/ Online ISBN:978-3-319-97807-9/https://doi.org/10.1007/978-3-319-97807-9_4

    Copyright Springer Nature Switzerland AG 2018

    Full text of the publication

    Цитирания (Citation/s):
    1. H. Mellar, R. Peytcheva-Forsyth, Integration of TeSLA in Assessment Activities, In Engineering Data-Driven Adaptive Trust-based e-Assessment Systems, D. Baneres, M. Rodríguez, A. Guerrero-Roldán (Eds.), Lecture Notes on Data Engineering and Communications Technologies, vol. 34, 2020, Springer, Cham, Softcover ISBN: 978-3-030-29325-3, eBook ISBN: 978-3-030-29326-0, Series ISSN: 2367-4512, Series E-ISSN: 2367-4520, https://doi.org/10.1007/978-3-030-29326-0_9 - 2020 - в издания, индексирани в Scopus или Web of Science
    2. R. Peytcheva-Forsyth, H. Mellar, Design and Execution of Large-Scale Pilots, In Engineering Data-Driven Adaptive Trust-based e-Assessment Systems, D. Baneres, M. Rodríguez, A. Guerrero-Roldán (Eds.), Lecture Notes on Data Engineering and Communications Technologies, vol. 34, 2020, Springer, Cham, Softcover ISBN: 978-3-030-29325-3, eBook ISBN: 978-3-030-29326-0, Series ISSN: 2367-4512, Series E-ISSN: 2367-4520, https://doi.org/10.1007/978-3-030-29326-0_8 - 2020 - в издания, индексирани в Scopus или Web of Science

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