Paper Details: Downloads: 1178
Serial Number: P1121327289
Title: E-assessment: Ontological Model for Personalizing Assessment Activities
Authors: Rafaela Blanca Silva-López and Iris Iddaly Méndez Gurrola and Victor Germán Sánchez Arias
Abstract: This paper focuses on a proposal for intelligent e-assessment, it goal is to propose an alternative solution to the problem of school failure, attention to addressing diversity from the perspective of the evaluation as the culmination of reprobation. Intelligent e-assessment using the Ontological Model for Personalizing Assessment Activities (OMPAA). The model integrates of three ontologies that can represent discipline domain knowledge, cognitive style and evaluation activities, as well as a set of inference rules that allow to make a recommendation of activities type that develop the necessary skills for the student to cover course objectives. The model is the result of fieldwork conducted with engineering students from the Universidad Autónoma Metropolitana- Atzcapotzalco.
Keywords: assessment, research, technology, learning design, ontological model.
Journal/Conference: ICGST International Conference on Computer Science and Engineering CSE-13,
Volume:
Issue:
Submission Date: 7/3/2013 12:00:00 AM
Review Date: 3/14/2014 12:00:00 AM
Publishing Date: 4/9/2014 12:00:00 AM
Article Downloads: 1178
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