An ontology-driven software product line architecture for developing gamified intelligent tutoring systems

Dermeval, Diego; Leite, Glauber; Almeida, João; Albuquerque, Josmário; Bittencourt, Ig I.; Siqueira, Sean W. M.; Isotani, Seiji and Silva, Alan Pedro Da (2017). An ontology-driven software product line architecture for developing gamified intelligent tutoring systems. International Journal of Knowledge and Learning, 12(1) pp. 27–48.

DOI: https://doi.org/10.1504/IJKL.2017.088181

Abstract

Intelligent tutoring systems (ITSs) are effective to provide instruction for students in several situations. Many works have been using gamification by adding game elements to learning contexts aiming to engage students and to drive desired learning behaviours. However, the design of gamified ITS should deal with a huge variability. Software product lines (SPLs) promise to offer rapid product development and more affordable development costs to build software from the same family. A key factor to successfully implement a product-line approach is to structure commonalities and variabilities into a product line architecture (PLA). In this paper, we propose a PLA for developing gamified ITSs that uses an ontology-driven feature modelling strategy. We illustrate how our architecture could be applied to instantiate a product on the basic math domain. We also discuss a set of implications of using it as well as how it could support the evolution/changing of gamified ITSs.

Viewing alternatives

Look up in Google Scholar

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions
No digital document available to download for this item

Item Actions

Export

About

  • Item ORO ID
  • 80026
  • Item Type
  • Journal Item
  • ISSN
  • 1741-1017
  • Keywords
  • ITSs; intelligent tutoring systems; gamification; gamified intelligent tutoring systems; SPL; software product line; ontologies
  • Academic Unit or School
  • Faculty of Wellbeing, Education and Language Studies (WELS)
  • Copyright Holders
  • © 2017 Inderscience Enterprises Ltd.
  • Depositing User
  • Josmário Albuquerque Silva
CORE (COnnecting REpositories)

Recommendations