scholarly journals MeLOD

2021 ◽  
Vol 15 ◽  
pp. 208-213
Author(s):  
Marco Arrigo ◽  
Davide Taibi ◽  
Giovanni Fulantelli
Keyword(s):  
Mobile Learning ◽  
Mobile Device ◽  
Open Data ◽  
Huge Amount ◽  
Previous Issue ◽  
Heritage Sites ◽  
Learning Content ◽  
Learning Contexts ◽  
Mobile Learning Environment ◽  
Fact Learning

In the last few years, many applications for mobile devices have been developed to support learning experiences both in formal and informal contexts. One of the main limits of these applications concerns the development of learning materials suitable for mobile learning contexts. In fact, learning content must be usually prepared in advance by teachers and maintained during the whole lifespan of the application. In this paper, we present MeLOD, a mobile learning environment, which exploits the huge amount of dataset in the Linked Open Data (LOD) cloud to overcome the previous issue, and provides contextualized and continuously updated information based on students’ location. The position of the student sent by the mobile device is used to interlink Geonames DBpedia and Europeana datasets to provide information about all the interesting cultural heritage sites close to the student. Moreover, students social activities like voting and commenting are used to enhance the knowledge base of the environment and to provide recommendations for next students’ visits.

Activity in a Mobile Learning Environment

2011 ◽  
pp. 58-78
Author(s):  
Ray M. Kekwaletswe
Keyword(s):  
Learning Environments ◽  
Mobile Learning ◽  
Social Presence ◽  
Learning Task ◽  
Personalized Learning ◽  
Mobile Technologies ◽  
Learning Support ◽  
Learning Contexts ◽  
Use Context ◽  
Mobile Learning Environment

The practical contribution of the chapter is the understanding of activity in mobile learning environments and how learners use awareness to model their actions for the provision of personalized learning support. The chapter is about the advancement of the human-centric approach to personalized learning through enhanced learner-to-learner interaction – where context and social presence awareness is of vital significance to how learners decide and act on a learning task. It is an expedition towards understanding the phenomenon of mobile learning, where personalized learning and support is a result of social awareness activities of learners as they traverse varied learning contexts. Mobile learning, in this chapter, is signified by mobility of learners regardless of mobile technologies. Activity Theory, which draws attention to mediated activity within a social context, is used to explore how mobile learners use context and social presence awareness to facilitate their ubiquitous social interactions.

An Exploration of Developing Mathematics Content for Mobile Learning

2015 ◽  
pp. 366-379
Author(s):  
Vani Kalloo ◽  
Permanand Mohan
Keyword(s):  
Mobile Learning ◽  
Mobile Device ◽  
Mathematics Learning ◽  
Learning Activity ◽  
Algebraic Equations ◽  
Key Factors ◽  
Mathematics Pedagogy ◽  
Learning Content ◽  
Main Challenge ◽  
Different Types

In this chapter, the authors explore the development of mathematics content for mobile learning. Firstly, some key factors which affect the development of mathematics content for mobile learning are considered. The development of content is challenging because of the limitations of a mobile device and the diversity of the mathematics content. The diversity of the content refers to the different types of mathematics content such as text, numbers, algebraic equations or graphs. The main challenge is determining the most effective way to represent this content on a mobile device. The need to consider factors such as the type of mathematics content, mobile device limitations, and the inclusion of mathematics pedagogy are discussed. The reason why each of these factors is significant is explained and a method for developing mathematics learning content is presented. The chapter closes with an example of a learning activity developed using this method.

An Exploration of Developing Mathematics Content for Mobile Learning

2015 ◽  
pp. 177-191
Author(s):  
Vani Kalloo ◽  
Permanand Mohan
Keyword(s):  
Mobile Learning ◽  
Mobile Device ◽  
Mathematics Learning ◽  
Learning Activity ◽  
Algebraic Equations ◽  
Key Factors ◽  
Mathematics Pedagogy ◽  
Learning Content ◽  
Main Challenge ◽  
Different Types

In this chapter, the authors explore the development of mathematics content for mobile learning. Firstly, some key factors which affect the development of mathematics content for mobile learning are considered. The development of content is challenging because of the limitations of a mobile device and the diversity of the mathematics content. The diversity of the content refers to the different types of mathematics content such as text, numbers, algebraic equations or graphs. The main challenge is determining the most effective way to represent this content on a mobile device. The need to consider factors such as the type of mathematics content, mobile device limitations, and the inclusion of mathematics pedagogy are discussed. The reason why each of these factors is significant is explained and a method for developing mathematics learning content is presented. The chapter closes with an example of a learning activity developed using this method.

Devised Mobile Learning System Based on Campus

2011 ◽  
Vol 271-273 ◽  
pp. 1160-1163
Author(s):  
Yan Xin Hu
Keyword(s):  
Mobile Learning ◽  
Learning System ◽  
Learning Content ◽  
Function Module ◽  
Basic Features ◽  
Mobile Learning System

Introduced the mobile learning content, analyzed the basic features of mobile learning, designed mobile leaening system based on campus, and each function module of mobile learning system.

scholarly journals Towards a Mobile Learning Environment using Reference Architectures

2017 ◽  
Author(s):  
Maria Lydia Fioravanti ◽  
Nemésio Freitas Duarte Filho ◽  
Lucas Bortolini Fronza ◽  
Ellen Francine Barbosa
Keyword(s):  
Learning Environment ◽  
Mobile Learning ◽  
Mobile Learning Environment

scholarly journals Using Device Detection Techniques in M-Learning Scenarios

2013 ◽  
pp. 1188-1203
Author(s):  
Ricardo Queirós ◽  
Mário Pinto
Keyword(s):  
Web Service ◽  
Mobile Devices ◽  
Mobile Device ◽  
Web Interface ◽  
Mobile Web ◽  
Detection Techniques ◽  
Learning Content ◽  
Learning Scenarios ◽  
Rest Api ◽  
Over Time

Recent studies of mobile Web trends show the continued explosion of mobile-friend content. However, the wide number and heterogeneity of mobile devices poses several challenges for Web programmers, who want automatic delivery of context and adaptation of the content to mobile devices. Hence, the device detection phase assumes an important role in this process. In this chapter, the authors compare the most used approaches for mobile device detection. Based on this study, they present an architecture for detecting and delivering uniform m-Learning content to students in a Higher School. The authors focus mainly on the XML device capabilities repository and on the REST API Web Service for dealing with device data. In the former, the authors detail the respective capabilities schema and present a new caching approach. In the latter, they present an extension of the current API for dealing with it. Finally, the authors validate their approach by presenting the overall data and statistics collected through the Google Analytics service, in order to better understand the adherence to the mobile Web interface, its evolution over time, and the main weaknesses.

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