Title
An ontology for automated scenario-based training
Author
Peeters, M.M.M.
van den Bosch, K.
Neerincx, M.A.
Meyer, J.J.Ch.
Publication year
2014
Abstract
An intelligent system for automated scenario-based training (SBT) needs knowledge about the training domain, events taking place in the simulated environment, the behaviour of the participating characters, and teaching strategies for effective learning. This knowledge base should be theoretically sound and should represent the information in a generic, consistent, and unambiguous manner. Currently, there is no such knowledge base. This paper investigates the declarative knowledge needed for a system to reason about training and to make intelligent teaching decisions. A frame-based approach was used to model the identified knowledge in an ontology. The ontology specifies the core concepts of SBT and their relationships, and is applicable across training domains and applications. The ontology was used to develop a critical component of SBT: The scenario generator. It was found that the ontology enabled the scenario generator to develop scenarios that fitted the learning needs and skill level of the trainee. The presented work is an important step towards automated scenario-based training systems. Copyright © 2014 Inderscience Enterprises Ltd.
Subject
Human Performances
PCS - Perceptual and Cognitive Systems
ELSS - Earth, Life and Social Sciences
Defence Research
Training
Defence, Safety and Security
Cognitive engineering
Educational games
Knowledge representation
Ontology
Personalisation
Reusability
Scenario-based training
To reference this document use:
http://resolver.tudelft.nl/uuid:4afe6409-d939-4319-844b-53019b7d7298
DOI
https://doi.org/10.1504/ijtel.2014.068354
TNO identifier
524712
Publisher
Inderscience Enterprises Ltd.
ISSN
1753-5255
Source
International Journal of Technology Enhanced Learning, 6 (3), 195-211
Document type
article