Ontology-Based Multimodal Language Learning

Ontology-Based Multimodal Language Learning

Miloš Milutinović (University of Belgrade, Serbia), Vukašin Stojiljković (Institute for the Serbian Language of the Serbian Academy of Sciences and Arts, Serbia) and Saša Lazarević (University of Belgrade, Serbia)
DOI: 10.4018/978-1-4666-6042-7.ch082
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Abstract

L2 language learning is an activity that is becoming increasingly ubiquitous and learner-centric in order to support lifelong learning. Applications for learning are constrained by multiple technical and educational requirements and should support multiple platforms and multiple approaches to learning. This chapter investigates the possibility of applying ontology-based, dynamically generated learning objects implemented on a cloud computing infrastructure in order to satisfy these requirements. Previous work on using mobile learning objects is used as a starting point in an attempt to design a system that will preserve all of the advantages of utilizing learning objects, while eliminating any flaws and maximizing compatibility with existing systems. A model of a highly modular, flexible, multiplatform language learning system is presented along with some implementation remarks and advices for future implementation.
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Literature Review

Modern computing devices vary both in size and hardware characteristics, as well as in platform architectures utilized. Most of these devices are capable of supporting various applications and processes, with even the smallest devices being capable of accessing the Internet and utilizing remote resources or processing power. This has also influenced the development of software, bringing about a diversification and specialization of applications for certain platforms, as well as the opposite process of unification through Web-based services and interfaces.

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