An ontology to support the classification of learning material in an organizational learning environment

Joselaine Valaski (PPGIa, Pontifical Catholic University of Paraná (PUCPR), Curitiba, Brazil)
Sheila Reinehr (PPGIa, Pontifical Catholic University of Paraná (PUCPR), Curitiba, Brazil)
Andreia Malucelli (PPGIa, Pontifical Catholic University of Paraná (PUCPR), Curitiba, Brazil)

Interactive Technology and Smart Education

ISSN: 1741-5659

Publication date: 18 April 2017

Abstract

Purpose

The purpose of this research was to evaluate whether ontology integrated in an organizational learning environment may support the automatic learning material classification in a specific knowledge area.

Design/methodology/approach

An ontology for recommending learning material was integrated in the organizational learning environment based on ontology. An experiment was performed with 15 experts and 84 learners. Experts and learners were asked to classify 30 learning material related to Software Engineering area. The results obtained from experts and learners were compared with the ontology results.

Findings

Among 30 learning materials evaluated, 24 learning materials got closer to the expert classification using the ontology than using the learners’ manual classification. The learners had difficulties in correctly classifying the learning materials according to the knowledge area applied.

Originality/value

In an autonomous collaborative environment without a tutor responsible for organizing the learning materials shared by collaborators, an ontology may be an auxiliary mechanism to support automatic learning material classification. The proposed ontology uses recommendations given by the collaborators to get the correct knowledge area classification. The correct classification may support retrieval of appropriate learning materials according to the learners’ needs.

Keywords

Citation

Valaski, J., Reinehr, S. and Malucelli, A. (2017), "An ontology to support the classification of learning material in an organizational learning environment", Interactive Technology and Smart Education, Vol. 14 No. 1, pp. 67-87. https://doi.org/10.1108/ITSE-11-2016-0044

Download as .RIS

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.