Ontology-Based Multimodal Language Learning

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Author(s): 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)
Copyright: 2014
Pages: 18
Source title: Handbook of Research on High Performance and Cloud Computing in Scientific Research and Education
Source Author(s)/Editor(s): Marijana Despotović-Zrakić (University of Belgrade, Serbia), Veljko Milutinović (University of Belgrade, Serbia)and Aleksandar Belić (University of Belgrade, Serbia)
DOI: 10.4018/978-1-4666-5784-7.ch008

Keywords: Cloud Computing / Computer Science & IT / High Performance Computing / Information Science Reference

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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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Ontology-Based Multimodal Language Learning

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