Volume 8 Issue 2 - March 2017

  • 1. Classifying learners’ cognitive engagement from online discussion using text mining

    Authors : Hind Hayati, Mohammed Khalidi Idrissi, Samir Bennani

    Pages : 212-219

    DOI : http://dx.doi.org/10.21172/1.82.029

    Keywords : Online discussion forumE-learningCognitive engagementText miningOntologie OWLSVMClassificationLSA

    Abstract :

    This paper proposes a learners’ classification system according to their levels of cognitive engagement based on their activity in online discussion forums. To achieve this classification, Text mining is applied to two types of data: the posted threads and learners’ participation in forums. In order to increase the efficiency and the response time of the proposed system, a semantic classification of the threads has been made in advance to filter those that are important and relevant to the context chosen by the tutor. This step is performed by combining two methods, namely the Ontology OWL and the LSA method.

    Citing this Journal Article :

    Hind Hayati, Mohammed Khalidi Idrissi, Samir Bennani, "Classifying learners’ cognitive engagement from online discussion using text mining", https://www.ijltet.org/journal_details.php?id=911&j_id=3678, Volume 8 Issue 2 - March 2017, 212-219, #ijltetorg