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Mobile medical devices and apps are popping up all over. Doctors are incorporating them into their practices to be more effective and efficient. Patients are using them to monitor specific aspects of their health, fill in gaps in their medical care, and take more responsibility for their well-being. Both doctors and patients are finding that mobile devices and apps can provide a fast and efficient way to stay in touch and exchange information. The mobile health technology market-including devices, applications, and services-is expected to exceed $8 billion by 2018, according to research company GlobalData. That's up from $500 million in 2010, a 44% compound annual growth rate. The rapid growth is being fueled by the increasing availability of a variety of healthcare applications. This growth offers opportunities for developers, clinicians and patients alike. But along with those opportunities come several obstacles to contend with. Depending on the type of app, developers will have to jump through all sorts of hoops to get FDA approval. Similarly clinicians sometimes face resistance from IT managers when they want to bring their own devices into the enterprise setting. And patients are faced with a long list of mobile apps, some of which offer more hype than help.

Mobile learning (m-learning in short) has received increasing attention in the new millennium. Considerable interest in exploiting the unique capability of mobile technologies for teaching and learning arises from educators and technical developers in recent years. In this chapter, we present an overview of the development of m-learning in China, including the construction of m-learning infrastructure, and the research projects conducted by universities and companies. Also, suggestions for future development of m-learning are provided.

The mobile learning toolkit is the result of research into mobile phone use and userneeds within the African context, however it has been developed for use in all developingcontexts. It is intended as a "trainer's toolkit" that can help deliver a wide range oftraining activities both inside and outside of the classroom

Project K-Nect is a pilot program in Onslow County Schools (North Carolina) where teachers utilize Smart Phones to teach selected math courses. Developed by Digital Millennial Consulting and funded in part through Qualcomm's Wireless Reach initiative, the program is designed to increase student achievement in math and close the digital disconnect for students in Onslow County Schools in North Carolina.

The International Review of Research in Open and Distance Learning (IRRODL) Journal.  Special Issue - Mobile Learning

Universities are being swamped by waves of emergent technologies and the emergence of iPads is the latest ‗state-of-the-art' mobile device to receive attention. While a number of iPad trials and initiatives have been conducted within the confines of classrooms, for example, Bond University, University of Melbourne and Adelaide University (Brand & Kinash, 2010; Jennings et al 2010; Cross, 2010); far fewer have been conducted in the field, see Duke University's use of iPad as a field research tool (Winograd, 2010). This study reports a faculty's trial to explore how far iPads could be integrated into a field setting for training of paramedic students in Wilderness Medicine. As it turned out, the remote setting for the exercise presented a number of challenges for the coordinators. Questions that needed to be considered included how ―mobile‖ is the iPad?, How can it be used to support and enhance students' learning in the field?, How far could the iPad be extended where Internet connectivity is intermittent? The iPad trial highlighted a lack of a ―common language‖ within the faculty as a basis to collaborate and design learning activities. It provided impetus for an ongoing series of conversations amongst the coordinators and others in the Faculty about design approaches and the need for a pedagogical framework to integrate technologies that support teaching and learning activities.

Mobile and wireless communication technologies not only enable anytime and anywhere learning, but also provide the opportunity to develop learning environments that combine real-world and digital-world resources.

Mobile learning or m-learning has been defined differently in different studies, which indicates that m-learning is still in an evolving phase (Peng et al., 2009). M-learning has been defined as "e-learning using mobile devices and wireless transmission" (Hoppe et al., 2003; Chang et al., 2003). Two important aspects of m-learning are its ubiquity and mobility. Ubiquitous computing is access to computing technologies whenever and wherever they are needed and mobility can be defined as learning on the go (Peng et al., 2009). While e-learning is mostly dependent upon desktop personal computing (PC) technology, m-learning is dependent upon mobile devices (Orr, 2010).