Using an Intelligent Tutoring System with Plagiarism Detection to Enhance e-Assessment View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

David Bañeres , Ingrid Noguera , M. Elena Rodríguez , Ana Guerrero-Roldán

ABSTRACT

Nowadays, online learning has become a promising solution to personalize and increase flexibility in the learning-teaching process. However, e-assessment is still questioned in terms of authorship and identity checking. Some virtual learning environments are introducing technological solutions, such as plagiarism detection tools, to increase the security when submitting assessment activities. However, this is a partial solution. When the activities are performed on third-party tools, as it is the case of intelligent tutoring systems, the identity and authorship checking can fail. This paper introduces a modular plagiarism detection tool that combines different input data sources in order to verify the authorship. A case study is presented to show the potential of the tool. More... »

PAGES

363-372

References to SciGraph publications

  • 2016. Towards e-Assessment Models in Engineering Education: Problems and Solutions in ADVANCES IN WEB-BASED LEARNING – ICWL 2016
  • Book

    TITLE

    Advances in Intelligent Networking and Collaborative Systems

    ISBN

    978-3-319-98556-5
    978-3-319-98557-2

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-98557-2_33

    DOI

    http://dx.doi.org/10.1007/978-3-319-98557-2_33

    DIMENSIONS

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