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Through observing the use of iPhone and iPad by a child between the ages of two and four years and a half, this study presents accounts on the child’s use of and interaction with these devices, as well as her interaction with the physical environment.

Unstructured, naturalistic observation was employed in this study. The study is grounded in theories of user engagement with digital and physical objects.

A child’s interaction with touch-based devices does not deter the child from engaging effectively with the physical environment or from activities centered on creativity and interpersonal engagement. A child is able to move back and forth seamlessly between the physical and digital environments.

Findings from this study could help parents, educators, and system designers understand why and how toddlers and preschoolers use and engage with touch-based devices, as well as the kind of tasks they perform.

Studies of toddlers’ or preschoolers’ information behavior and interaction with touch-based devices are scarce. Children born toward the end of the first decade of the twenty-first century are growing up with a propensity to using touch-based devices. This study provides a framework for effective usage of such devices while ensuring all-round cognitive and physical development of the child.

This paper discusses how educational policies have shaped the development of large-scale educational data and reviews current practices on the educational data use in selected states. Our purposes are to: (1) analyze the common practice and use of educational data in postsecondary education institutions and identify challenges as the educational crossroads; (2) propose the concept of Data Literacy (DL) for teaching (Mandinach & Gummer, 2013a) and its relevance to researchers and stakeholders in postsecondary education; and (3) provide future implications for practices and research to increase educational DL among administrators, practitioners, and faculty in postsecondary education.

We used two guiding conceptual frameworks to analyze the common practice and use of educational data in postsecondary education institutions and identify challenges as the educational crossroads. First, we used the 4Vs of Big Data by Rajan (2012) to examine the misalignment between the policy mandate and the practices. The elements of the 4Vs of Big Data – volume, velocity, variety, and veracity – help us to depict how Big Data enables educators to organize, store, manage, and manipulate vast amounts of educational data at the right moment and at the right time. Second, we used the conceptual framework for DL proposed by Gummer and Mandinach (in press). They interpret DL “as the collection, examination, analysis, and interpretation of data to inform some sort of decision in an educational setting” (p. 1, in press).

Using the guiding frameworks, we identified four educational data crossroads as follows:

Crossroad 1: Unintended Increase in Workload Volume;

Crossroad 2: Unrealistic Expectations of Data Velocity;

Crossroad 3: Data Variety in Silos; and

Crossroad 4: Data Veracity and Policy Agenda Mismatch.

In this paper, we explain each of these crossroads in more detail with some examples.

Much of the existing body of literature, exemplary practices, as well as federal and state funding has been focused on K-12 education contexts. In this paper, we identify current practices and challenges of educational data in the institutions of higher education. Additionally, this paper presents the application of the exemplary practices of data literacy development in postsecondary education and implications for future practices of data literacy development in postsecondary education.

This chapter will explore how the places of learning might look in next generation learning spaces where learners traverse physical and virtual spaces using personalised learning strategies. It will examine how learning spaces may represent ubiquitous spaces in which the learner undertakes some form of study or learning. Although there has been extensive examination of the design of spaces for knowledge generation (Keppell & Riddle, 2012, 2013; Souter, Riddle, Sellers, & Keppell, 2011) there has been little attention given to how learners customise and personalise their own physical and virtual learning spaces as they traverse their learning journey. Seven principles of learning space design will be adapted for use by the personalised learner. Personalised learning strategies encompass a range of knowledge, skills and attitudes that empower the learner to take charge of their learning within next generation learning spaces. Personalised learning consists of six broad concepts: digital citizenship, seamless learning, learner engagement, learning-oriented assessment, lifelong and life-wide learning and desire paths. Teachers will need to assist learners to design their own personalised learning spaces throughout formal education to encourage learners to be autonomous learners throughout their lifetime. In order to assist learners in developing personalised learning strategies we need to teach them about learning space literacies. We can’t assume learners have the knowledge, skills and attitudes to be able to identify and effectively utilise appropriate learning spaces that optimises engagement.

Recent research on immersive experiences in online environments for higher education has attributed a fundamental role to two distinct yet connected psychological phenomena: the feelings of being virtually present in the education environment, often simply called presence, and peak episodes of flow. The authors conceptually delimitate these two psychological facets of e-learners’ experiences and examine their interplay. The authors show how flow episodes are elicited by students’ sense of control over the online education environment, their attention being focussed on the learning tasks, and their feelings of being physically placed in the online education setting. Also, the interactivity created by the online education environment evokes an e-learner’s imagery, which in turn triggers presence feelings and episodes of flow. The authors further show that, although presence and flow are triggered by some common antecedents, they differ in the object of the individual’s immersion, and that presence feelings facilitate flow. Moreover, the authors provide practical recommendations for higher education institutions, policy makers and the academic and information and communication technology community involved in e-learning, to make sure e-learner experiences reach their fullest potential.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

In this chapter, we discuss initiatives that aim to improve children’s literacy in low- and middle-income (LMI) countries through m-learning. These projects, predominantly introduced by governments and international aid organisations, often involve the provision of e-books and apps including game-based apps, to be used either inside or outside school. In some cases, lesson plans and content for teachers in poorly resourced schools are also delivered via mobile devices. After a general overview, we briefly describe a selection of projects with reference to m-learning and literacy theory and research. It is indicated in this chapter that the use of mobile devices to improve literacy opportunities for children in LMI countries has a great deal of potential but that, in many cases, there are limitations in pedagogical design and implementation practices, not to mention restricted views of what literacy is and might be for children in these locations.

This chapter presents a case study of a ‘Massive Open Online Courses’ (MOOCs) structure that is offered through an agreement between a traditional university and a MOOC provider. This arrangement has been helping in reaching very large numbers of learners in the Middle East. In implementing this agreement, I categorise the concerns of three key stakeholders (administrators, faculty and students) regarding this mode of instruction. A framework (abbreviated as LOGIC – LEADS – LEARNing) is proposed that could be of use to higher education institutions when they embark on non-traditional education. A common concern among the primary stakeholders was the issue of legitimacy of such an education. I argue the MOOCs so far do not represent a substitute or a threat to traditional face-to-face education. In addition, there are no foreseen reputational risks for universities if MOOCs are included as a mode of education. The value from MOOCs needs to be seen from the perspectives of students and other stakeholders. MOOCs have the potential to lead to positive consequences for the university − as a whole − and other relevant stakeholders as well. However, MOOCs in the Middle East are not likely to operate under a workable business model, at least not in the short run. As MOOCs rise to make more sense to students, their disruptive power would become more tangible. This, however, will take some time and will only be threatening if educational institutions become complacent in response to the novel ways by which the new generation is approaching learning.

Mobile devices, through their capacity to enable anytime-anywhere learning as well as capture, annotate and share multimedia, offer entirely new ways for students to learn. This chapter provides review of mobile learning with a particular focus on learning design. First various definitions and characteristics of mobile learning are examined in order to establish a common understanding of its boundaries and meaning. Example uses of mobile learning in schools and higher education are described as a way to provide a more concrete understanding of design possibilities. Benefits of mobile learning are unpacked, as distilled from the literature, including the ability to provide flexible, accessible, authentic, personalized, ubiquitous and seamless learning. Mobile learning issues are also examined, including technical problems, cognitive load issues, distraction, equity and safety. A primary school science and a university pre-service teacher education vignette are described so as to offer a more in-depth illustration of what mobile learning can look like and achieve in practice. Finally, mobile learning research findings and observations are synthesized into recommendations, to inform and guide evidence-based mobile learning design practices. Opportunities for future research and investigation are also discussed.

This chapter examines the teaching practice of the author in the Faculty of Education, University of Malta, taking sessions in smart learning as part of technology-enhanced learning (TEL) study units in Bachelors of Education and Masters in Teaching and Learning degree programs between 2017 and 2019. My teaching sessions ran concurrent with undertaking separate doctoral research investigating how participants experience “smart learning journeys.” Smart learning journeys in the research were conceptualized as real-world journeys, with geo-spatially relevant points of interest forming a journey of locations related to a topic of learning, providing context-aware content via digital interactions. Research was not connected to teaching practice, though students who took TEL units also participated in the same smart learning journey activity as part of their syllabus.

Though teaching sessions were not part of my research, my classroom practice modified as a result of emerging research findings, and my teaching benefited as I gained deeper understanding about smart learning activities and the role of the learner in them. Using dialogic learning methods and techniques inspired from my research interview methodology, class sessions became noticeably more effective as students engaged directly in discovering their own learning from having participated in the smart learning journey.