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Problem-based learning supported by semantic techniques


Richard A. Noble

Esther Lozano

Jorge Gracia


Oscar Corcho

Asuncion Gomez-Perez

Asunción Gómez-Pérez


Problem-based learning has been applied over the last three decades to a diverse range of learning environments. In this educational approach, different problems are posed to the learners so that they can develop different solutions while learning about the problem domain. When applied to conceptual modelling, and particularly to Qualitative Reasoning, the solutions to problems are models that represent the behaviour of a dynamic system. The learner's task then is to bridge the gap between their initial model, as their first attempt to represent the system, and the target models that provide solutions to that problem. We propose the use of semantic technologies and resources to help in bridging that gap by providing links to terminology and formal definitions, and matching techniques to allow learners to benefit from existing models.


Lozano, E., Gracia, J., Corcho, O., Noble, R. A., & Gómez-Pérez, A. (2015). Problem-based learning supported by semantic techniques. Interactive Learning Environments, 23(1), 37-54.

Journal Article Type Article
Acceptance Date Nov 27, 2012
Online Publication Date Nov 27, 2012
Publication Date Jan 2, 2015
Journal Interactive Learning Environments
Print ISSN 1049-4820
Electronic ISSN 1744-5191
Publisher Routledge
Peer Reviewed Peer Reviewed
Volume 23
Issue 1
Pages 37-54
Keywords Problem-based learning; Qualitative reasoning; Semantic grounding
Public URL
Publisher URL
Additional Information Peer Review Statement: The publishing and review policy for this title is described in its Aims & Scope.; Aim & Scope: