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Mobile Learning - Trends, Attitudes & Effectiveness (Hardcover)
Loot Price: R5,877
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Mobile Learning - Trends, Attitudes & Effectiveness (Hardcover)
Expected to ship within 12 - 19 working days
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Mobile learning (m-learning) can be seen as learning across
multiple contexts, through social and content interactions, using
personal electronic devices such as handheld computers, smart
devices (e.g. Smartphone and tablets), notebooks, mobile phones,
etc. It reflects how society and its institutions can accommodate
and support an increasingly mobile population. M-learning is
convenient in that it is accessible from virtually anywhere and at
any time. Like other forms of e-learning, m-learning is also
collaborative. Sharing is almost instantaneous among everyone using
the same content, which leads to the reception of instant feedback
and tips. This highly active process can help in improving
students' performance and motivation. M-learning also brings strong
portability by replacing books and notes with mobile devices,
filled with tailored learning content. The challenges that face
e-learning and m-learning systems come from the growth rate of
students, education contents, services that can be offered and
resources made available. These challenges include: optimising
resource computation, storage and communication requirements,
dealing with dynamic concurrency requests, etc. Such challenges
highlight the necessity of the use of a platform that meets
scalable demands and cost control. This environment is cloud
computing. The cloud computing environment rises as a natural
platform to provide support to e- and m-learning systems. The book
contains a variety of relevant topics. The first chapter gives an
overall view on mobile learning. The next three chapters discuss
the psychological issues related to mobile learning and learners'
motivation in addition to the contextualisation of mobile learners.
The following two chapters introduce some theoretical framework for
mobile learning and its cloud-based applications in addition to a
mobile-based recommendation system. The last four chapters focus on
case studies of mobile learning on natural language education.
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