Ontology-Based Multimodal Language Learning

2014 ◽  
pp. 195-212
Author(s):  
Miloš Milutinović ◽  
Vukašin Stojiljković ◽  
Saša Lazarević
Keyword(s):  
Cloud Computing ◽  
Language Learning ◽  
Lifelong Learning ◽  
Mobile Learning ◽  
Approaches To Learning ◽  
Learning Objects ◽  
Learning System ◽  
Starting Point ◽  
Multimodal Language ◽  
Computing Infrastructure

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.

scholarly journals Ontology-Based Multimodal Language Learning

2014 ◽  
pp. 1640-1657
Author(s):  
Miloš Milutinović ◽  
Vukašin Stojiljković ◽  
Saša Lazarević
Keyword(s):  
Cloud Computing ◽  
Language Learning ◽  
Lifelong Learning ◽  
Mobile Learning ◽  
Approaches To Learning ◽  
Learning Objects ◽  
Learning System ◽  
Starting Point ◽  
Multimodal Language ◽  
Computing Infrastructure

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.

Support for Cloud-Based Mobile Learning

2016 ◽  
pp. 225-246 ◽  
Author(s):  
Kritika Verma ◽  
Sonal Dubey ◽  
M. A. Rizvi
Keyword(s):  
Cloud Computing ◽  
Information And Communication Technologies ◽  
Mobile Learning ◽  
Communication Technologies ◽  
Information Resources ◽  
Learning System ◽  
Learning Content ◽  
The Future ◽  
Information And Communication ◽  
Current Scenario

Cloud based mobile learning (m-learning) is emerging as one of the most important branches of cloud computing, and is still in its infancy. These days, there are two emerging archetypes in Information and Communication Technologies (ICT) for learning. The first one is the anytime, anywhere, on-the-move, to be called the mobility archetype, and the second one is the cloud computing. Both archetypes are radically transforming the way we learn, communicate, access, and utilize information resources, and connect with peers and colleagues, thus affecting all aspects of education. This chapter delivers an introduction of the evolution of cloud based m-learning, benefits and characteristics of cloud based m-learning. It also canvasses the current scenario of m-learning utilizing the cloud, various challenges for implementing the m-learning system on the cloud. It further confers technologies used for cloud based m-learning. It also considers a brief look at methods for creating m-learning content and experiences, suggested by various researchers and concluded with the future aspects of the cloud based m-learning.

Design and Implementation of Listening Learning System for College English on the Mobile Platform

2014 ◽  
Vol 644-650 ◽  
pp. 5511-5514
Author(s):  
Xiao Yun Liu ◽  
Jian Shen
Keyword(s):  
Language Learning ◽  
Mobile Learning ◽  
Learning Theory ◽  
English Learners ◽  
Learning System ◽  
Mobile Platform ◽  
Performance Tests ◽  
College English ◽  
Literature Research ◽  
Design And Implementation

This paper is based on literature research on mobile learning theory and language learning theory to design and develop learning clients for College English listening on an Android platform and build up a comprehensive listening learning system by adding performance tests and advancing listening practice and feedback to help English learners improve listening capability step by step and create a better service for College English listening learning.

Design of Mobile Learning System Based on Cloud Computing

2013 ◽  
Vol 462-463 ◽  
pp. 1005-1010
Author(s):  
Zheng Nong
Keyword(s):  
Cloud Computing ◽  
Mobile Learning ◽  
Learning System ◽  
Independent Learning ◽  
Computing Technology ◽  
Mobile Learning System ◽  
Design And Application

The application of cloud computing technology provides a new idea for the development of mobile learning.Based on the analysis of the advantages of cloud computing to support mobile learning, The paper presents a complete design and application of mobile learning system based on cloud computing ,effectively to promote independent learning and collaborative exchange of the students, but also to provide the reference for the solution of mobile learning system based on cloud computing.

Research of Mobile Learning System for Music Appreciation Class Based on Cloud Computing

2013 ◽  
Vol 774-776 ◽  
pp. 1790-1793
Author(s):  
Xiaoliang Sun
Keyword(s):  
Cloud Computing ◽  
Mobile Learning ◽  
Learning System ◽  
Music Appreciation ◽  
Computing Technology ◽  
Education Development ◽  
Mobile Learning System

The application of cloud computing technology provides a new idea to the development of mobile learning. The applications based on cloud computing is focus on the solution of music appreciation class in the paper. The design of mobile learning system for music appreciation class based on cloud computing is proposed and the related concepts of cloud computing is briefly introduced. The topology of the system is given. In the end, it shows deeply mobile learning system class based on cloud computing is the urgency of education development. It can provide the better services of music appreciation class.

Mobile Learning Services on Cloud

2015 ◽  
pp. 230-255
Author(s):  
Dušan Barać ◽  
Miloš Radenković ◽  
Branislav Jovanić
Keyword(s):  
Cloud Computing ◽  
Mobile Learning ◽  
Mobile Application ◽  
Management System ◽  
Mobile Cloud Computing ◽  
Learning Management System ◽  
Learning System ◽  
Mobile Cloud ◽  
E Learning ◽  
Learning Management

This chapter discusses providing mobile learning services on cloud. Mobile cloud computing brings numerous benefits and enables overcoming technical constraints of mobile learning. The main techniques and approaches in mobile cloud computing are analyzed. A model for mobile learning services delivering through cloud computing is proposed. Several examples of mobile learning services implementations on cloud are presented: Android native application that provides Moodle learning management system features and a SMS service and mobile application for managing the infrastructure of e-learning system.

Personalized Mobile Learning and Course Recommendation System

2021 ◽  
Vol 13 (1) ◽  
pp. 38-48
Author(s):  
Madhubala Radhakrishnan
Keyword(s):  
Mobile Learning ◽  
Recommendation System ◽  
Learning Experience ◽  
Personalized Learning ◽  
Learning Objects ◽  
Learning System ◽  
Mobile Learning System ◽  
Media Formats ◽  
Educational Contents ◽  
Different Levels

Mobile-based learning provides new experience to the learners to learn anything from anywhere and anytime by using their portable or mobile device. Vast educational contents and also different media formats can be supported by the mobile devices. Access speed of those materials has also improved a lot. With this advancement, providing required content or materials in the desired format to the learner is essential to the learning management system. Also, it is very important to guide the learner based on their interest in learning. With this outset, the proposed mobile learning system helps the learners to access different courses under different levels and different specializations. The course contents are in different formats called learning objects (LO). In order to provide personalized learning experience to the learner, the system finds the learner's preferences and selects the desired learning objects. It also recommends some specializations with level to the learners to achieve higher grades.

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