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.

Active and collaborative learning provide a powerful mechanism to enhance depth of learning, increase material retention, and get students involved with the material instead of passively listening to a lecture. Active learning is a learning style with students involved in the learning process as active partners: meaning they are "doing", "observing" and "communicating" instead of just "listening" as in the traditional (lecture-driven) learning style. In active learning, students are much more actively engaged in their own learning while educators take a more guiding role. Collaborative learning is a learning style in which a group of learners (two or more) study together in a collaborative environment. Collaborative learning is based on the model that knowledge can be created within a population where members actively interact by sharing experiences and take on asymmetric roles. Active and collaborative learning approaches are thought to promote the processing of skills/knowledge at a much deeper level than passive and individual learning. This book covers a wide range of interesting topics related to active and collaborative learning. The first chapter covers the background and a comprehensive survey of active and collaborative learning. Chapters two, three, four, and five cover the use of active and collaborative learning in programming, web analysis, and social settings, respectively. Chapters six, seven, and eight cover the applications of active and collaborative learning in mobile and cloud computing related topics. The rest of the book (chapters nine, ten, and eleven) covers a wide range of the modern applications of active and collaborative learning in several medical and health related areas.