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Emergency situations arise in many countries of the world, due to natural disasters, biological, and human caused emergencies (EM-DAT, 2009). Emergency situations can cause great disruption to education, as social distancing measures or physical damage to educational structures put a halt on students being able to attend face-to-face classes. Indeed, the immediate impact of the COVID-19 pandemic disrupted nearly the entire global student population, affecting 94% of students in developed countries and 99% of those in low and middle income countries (UNESCO, 2020). Technology can be used as a bridge to connect students and teachers remotely. Digital learning can be used to extend and enhance teaching and provide an alternative to face-to-face modalities (Xiao, 2018) as well as connect students that live in remote locations (Rehn et al., 2018), or need to attend schools remotely due to poor health (Weibel et al., 2020). Empirical evidence shows that the use of remote learning with technology can also support critical learning approaches, such as student collaboration (Blau et al., 2020), inquiry learning (Mamun et al., 2020), self-regulated learning (Lock et al., 2017), and support students in achievement of learning goals (Freidhoff, 2017). However, remote education in an emergency is different than typical use of technologies during non-emergencies (Bozkurt et al., 2020). Emergency Remote Education (ERE) is reliant on a teachers’ knowledge and skills in quickly implementing technologies and pedagogies remotely. Empirical findings show that teachers may not possess the critical skills and knowledge to put ERE in place (Christensen & Alexander, 2020; Gudmundsdottir et al., 2020). The purpose of this study is to explore how K-12 teachers have been supported to conduct emergency remote education. Studies examined are those published between January 2010 to November 2020 with the primary focus on preparing teachers who work with K-12 students (aged 5–18 years) to conduct ERE.

Funder: EdTech Hub, Emergency situations that cause damage to educational buildings or require the closure of schools due to unsafe health, environmental, or political conditions can be an unwelcomed interruption to education. Indeed, the recent COVID‐19 pandemic created the largest disruption of education in history, affecting 94% of the world's student population. In emergencies, technology is often utilised as part of a crisis response protocol by continuing education using emergency remote education (ERE). The purpose of this study is to determine how technology has been used to continue K‐12 learning remotely during an emergency. This systematic review included an aggregated and configurative synthesis to examine extant empirical work over eleven years, from January 2010 to December 2020. Following a rigorous, PRISMA selection process, 60 articles were included in the final analysis from 48 countries. Grounded coding of the strategies used for learning revealed the following categories: communication, delivery systems, student ERE readiness, partnerships, promoting student learning and engagement, and resources. Grounded coding of the technologies revealed that types of technologies used were divided into two major categories: Internet‐based and non‐Internet based, with the majority using Internet‐based technologies. Practitioner notes: What is already known about this topic The COVID‐19 pandemic has caused school closures across the globe and prevented in‐person school teaching. The rapid shift to distance education in schools can be conceptualised as ‘emergency remote education’ (ERE). Prior ERE research focused on bounded geographic locations where localised emergencies occurred. What this paper adds This provides the scholarly community with a unique systematic review of existing academic research on K‐12 ERE implementation in emergencies. This provides aggregated data and analysis on the past 11 years of the types of emergencies, participants, subject domain, technologies used, and location information. This provides findings of the types of remote teaching strategies involving technology used to continue K‐12 learning in emergency situations. This provides a set of recommendations on ERE for teachers, school leaders, policy makers, and funders. This provides researchers with a review of the field with identification of gaps and future research opportunities. Implications for practice and/or policy Recommendations regarding ERE are provided in this paper that will be of benefit to K‐12 teachers, school leaders policymakers, and funders in the continuing COVID‐19 pandemic and future emergencies. The research gaps highlighted in this paper, such as the lack of studies conducted in low and low middle‐income countries, are presented with suggestions for much needed future research. This can lead to changes in practice and policy.

The rise of mobile learning in schools during the past decade has led to promises about the power of mobile learning to extend and enhance student cognitive engagement. The purpose of this study was to examine trends to determine the cognitive level students are involved in within mobile learning activities. This systematic review involved an aggregated and configurative synthesis of PK‐12 mobile learning studies from 2010 to 16 and used Bloom's Taxonomy as a theoretical framework for categorizing the cognitive level of student activities. Major new findings include that students are involved in activities at all six levels of Bloom's Taxonomy. This study shows that over 60% of researchers are developing activities that require high levels of cognitive processing, a large increase from past studies. Nonetheless, 40% are integrating mobile devices in ways that keep students working with minimal cognitive processing. In both elementary and secondary studies, there was a 40/60% split in the use of lower versus high level thinking opportunities. New findings show that mobile devices were integrated into science, mathematics, social studies, literacy, art and special education. Studies in science settings were the majority of the studies (40%), followed by literacy (24%). [ABSTRACT FROM AUTHOR]

This qualitative study explored the affordances provided by the integration of the NAO humanoid robot in three preschool classrooms. Using the Head Start Early Learning Outcomes Framework as a lens, the researchers qualitatively analyzed data from focus groups, observations, field notes and student artifacts, using grounded coding to uncover language and communication, physical, cognitive and social–emotional learning experiences for children. The researchers also examined interactions between the robot, children and teachers to identify successes and challenges experienced during the integration. Findings indicate the robot provided opportunities for student development in all learning domains. Students were intellectually curious about the robot; data showed their eagerness to “talk with,” generate questions about, make eye contact with and learn more about the robot. Students viewed these interactions as two‐way. The presence of the robot created much enthusiasm and excitement, resulting in the opportunity for students to practice waiting their turn and cooperation. Challenges uncovered show that teachers lacked experience and knowledge in the integration and operation of the robot. Despite these challenges, findings show that teachers welcomed the robot as a tool in the classroom to align with curriculum requirements and meet the developmental needs of children. [ABSTRACT FROM AUTHOR]

Mobile device ownership has exploded with the majority of adults owning more than one mobile device. The largest demographic of mobile device users are 18–29 years old which is also the typical age of college attendees. This systematic review provides the scholarly community with a current synthesis of mobile learning research across 2010–2016 in higher education settings regarding the purposes, outcomes, methodologies, subject matter domains, educational level, educational context, device types and geographical distribution of studies. Major findings include that the majority of the studies focused on the impact of mobile learning on student achievement. Language instruction was the most often researched subject matter domain. The findings reveal that 74% involved undergraduate students and 54% took place in a formal educational context. Higher education faculty are encouraged to consider the opportunity to expand their learning possibilities beyond the classroom with mobile learning.

Asking scientific questions is the first practice of science and engineering listed in the Next Generation Science Standards. However, getting students to ask unsolicited questions in a large class can be difficult. In this qualitative study, undergraduate students sent SMS text messages to the instructor who received them on his mobile phone and via Google Glass. Using observations, coding of texts, and interviews, the researchers investigated the types and level of questions students asked and the perceptions of the instructor and TAs on how the messages were received. From the findings of this study, it is evident that students asked a wide variety of question types and levels. It would appear that important distinctions between voice and text questions are that: (a) a shy or insecure questioner can remain anonymous; (b) questions can be asked in an interactive, but not interruptive manner; (c) there is no time limit to answering questions; and (d) the record of questions on the instructor's phone can be used to guide revision of lecture notes for future semesters.

With the increase in mobile device affordances, there has been a concomitant rise in the level of interest in investigating the breadth, purpose and extent of mobile learning in education. This systematic review provides a current synthesis of mobile learning research across 20102015 in PK-12 education. This includes a aggregated quantitative and qualitative analysis of the specific mobile learning activities as they connect to learning theories, specifically behaviorist, constructivist, situated, and collaborative learning. Major findings include that the majority of the studies focused on student learning followed by designing systems. Science was the most common subject researched and elementary schools was the most often studies setting. The findings reveal that 40% of the time researchers designed mobile learning activities aligning with the behaviorist approach to learning. This has the students consuming knowledge and not using the full potential of the mobile devices to have students become producers, collaborators, and creators of knowledge. Qualitative coding show 40% of researchers designed mobile activities that fit with the behaviorist approach to learning.Science was the most common subject researched at 53%.Elementary schools were the most often studied setting comprising 56% of the studies.63% of the studies focused on the student learning rather than the device.The majority of the studies took place in formal educational contexts at 50%.

Purpose Mobile devices transcend the educational affordances provided by conventional tethered electronic and traditional learning. However, empirical findings show that educators are not integrating technology effectively into the curriculum. This paper aims to discuss these issues. Design/methodology/approach In this study, a thematic synthesis methodology was used to develop and present a framework for thinking about the integration of mobile devices in teaching and learning. Findings The mobile learning (mlearning) integration framework comprises four main parts: beliefs, resources, methods and purpose. These four areas are elucidated to reveal the many sub-components that determine how technology is integrated. Originality/value An ecological framework is then presented to demonstrate how the individual parts of the initial framework operate through a complex, interconnected network of systems involving personal and environmental factors.

Asking scientific questions is the first practice of science and engineering listed in the Next Generation Science Standards. However, getting students to ask unsolicited questions in a large class can be difficult. In this qualitative study, undergraduate students sent SMS text messages to the instructor who received them on his mobile phone and via Google Glass. Using observations, coding of texts, and interviews, the researchers investigated the types and level of questions students asked and the perceptions of the instructor and TAs on how the messages were received. From the findings of this study, it is evident that students asked a wide variety of question types and levels. It would appear that important distinctions between voice and text questions are that: (a) a shy or insecure questioner can remain anonymous; (b) questions can be asked in an interactive, but not interruptive manner; (c) there is no time limit to answering questions; and (d) the record of questions on the instructor's phone can be used to guide revision of lecture notes for future semesters.

Scholars postulate that mobile devices can be used to transform learning. However, there is a paucity of evidence to determine if mobile learning is redefining learning or if these devices are being used to replicate past teaching practices. To fill this gap in scholarly understanding, this systematic review was conducted to examine studies from 2014 to 2019 involving mobile devices in PK-12 (2–18 years) learning. Technology use was coded using the Substitution, Augmentation, Modification, and Redefinition (SAMR) framework. This framework was empirically extended and presented in this study. The data revealed unique findings, including the concerning discovery that while mobile technologies can and were used to transform learning in 54% of the studies, 46% of the time devices were used to replicate activities that can be conducted without technology. This has larger implications on school integration of mobile devices and whether these devices are being used to redefine learning to provide the most benefit to PK-12 students.

The use of mobile learning in education is growing at an exponential rate. To best understand how mobile learning is being used, it is crucial to gain a collective understanding of the research that has taken place. This systematic review reveals the trends in mobile learning in science with a comprehensive analysis and synthesis of studies from the year 2000 onward. Major findings include that most of the studies focused on designing systems for mobile learning, followed by a combination of evaluating the effects of mobile learning and investigating the affective domain during mobile learning. The majority of the studies were conducted in the area of life sciences in informal, elementary (5–11 years) settings. Mobile devices were used in this strand of science easily within informal environments with real-world connections. A variety of research methods were employed, providing a rich research perspective. As the use of mobile learning continues to grow, further research regarding the use of mobile technologies in all areas and levels of science learning will help science educators to expand their ability to embrace these technologies.

Mobile learning (mlearning) is an emerging trend in schools, utilizing mobile technologies that offer the greatest amount of flexibility in teaching and learning. Researchers have found that one of the main barriers to effective mlearning in schools is the lack of teacher professional development. Results from a needs-assessment survey and a post-workshop evaluation survey describe the professional development needs of teachers, technology coaches and administrators implementing an mlearning initiative in K–12 schools across 21 US states. Generally, needs shifted from a focus on technology integration and pedagogical coaching to a focus on the needs for ongoing support and time, reflecting a growing confidence in teachers to develop and implement mlearning lessons. Additionally, results from the needs assessment indicated that teachers and staff feel less confident about external areas such as support policies and community involvement – these areas may also offer areas for future growth in mlearning prof...

The concept of learning with small portable computers was developed by Alan Kay in 1972. Since that early conception, scholars, such as Traxler, Sharples, and Soloway are the pioneering scholars who paved the way to a better understanding of the philosophical, pedagogical, and conceptual underpinnings of mobile learning today. In this chapter, an overview is provided to explicate the initial foundations of the emerging field of mobile learning (mlearning). Next, current scientific knowledge is delineated with explicit references to the early scholars. This chapter concludes with a preview of the future research directions in mobile learning.

Games are one of the most elemental and basic of human activities that interest people of all ages. Mobile digital games can be used as a beneficial educational tool to enhance teaching, promote student learning, achievement, growth, and development as well as to cultivate students’ twenty-first century skills. The aim of this chapter is to discuss how educators can use digital gaming as an instructional tool in their classroom, regardless of age level or subject area, and thus transform their students into active participants and increase their student achievement levels. This paper examines core aspects of digital gaming, the benefits of digital gaming as well as its limitations such as the challenge of determining the appropriate technology to align with pedagogy and age level. Suggestions are offered as to how the issues can be addressed and concluded with implications for future study.

Online learning is increasingly being used in K-12 learning environments. A concomitant trend is found towards learning becoming authentic as students learn with tasks that are connected to real-world occupations. In this study, 48 pre-service teachers use an online environment to engage in authentic practice as they developed online learning experiences for their future students. Using a design-based research methodology, the researchers were involved in planning, designing, implementing, and evaluating the higher education class across two macro cycles. An authentic learning framework was utilized in the development of the class. Findings explicate the design of the course and how it aligned to the authentic learning framework. It appears that web-based tools were beneficial as the pre-service teachers designed their own K-12 online classes. Findings show that the pre-service teachers' comfort increased when using the using online web building applications in the authentic environment. Furthermore, a high level of engagement in reflective and collaborative learning was uncovered during the activities. This research acts as a springboard for educators who are interested in designing online higher education courses incorporating authentic learning experiences.

This special issue was designed to promote an integration of mobile and psychological theories of learning by inviting empirical research that draws upon both theoretical approaches to guide investigation into learning involving mobile devices. Five empirical articles illustrated how mobile devices afford resources to learners and how new channels of data afford researchers new insight into learning processes. Authors of two invited commentaries note the challenges involved in researching mobile learning, which unfolds across multiple contexts and can involve novel tools, multiple learners, and instructors and experts. These authors propose a taxonomy that can organize research that investigates interactions amongst learners, instructors, experts, and tools across one or more physical contexts, as well as a research agenda that would empirically test and refine assumptions made by mobile learning theorists. In this commentary, the editorial team proposes that mobile and psychological theories may be improved through convergence. Theories of mobile learning can be advanced by adopting practices previously employed to refine psychological theories of learning, whereas conducting research using mobile devices (and the data they provide) can further refine psychological theories of learning. We illustrate these positions with examples, and consider how instruction must be designed and how learners must be prepared in order to benefit from learning using mobile technology.

Studying mobile learning – the use of personal electronic devices to engage in learning across multiple contexts via connections to media, educators, peers, experts, and the larger world – is a relatively new academic enterprise. In this special issue, we interrogated the promise and unexamined expectations of mobile learning, the theories and ideas developing around it, and the devices that afford it. The articles introduce mobile and wearable technologies as key components of empirical research and demonstrate ways that learning conducted with such devices (1) affects the process and products of learning via interactions with other psychological constructs; (2) affords new opportunities to directly influence learning process or outcomes; and (3) provides opportunities to collect previously unobtainable data that improve understanding and modeling of the learning process. In this introduction, we overview the emergence of mobile learning theory and its contemporary conceptualization. Then we highlight ways that mobile technologies can be used to enhance learning processes and an understanding of them. All special issue contributors conceptualize and align their work with both psychological theories of learning and instruction as well as emerging theories of mobile learning. The commentary authors appraise mobile learning research critically and analytically, and recommend ways mobile learning theory might build upon research methodology and knowledge grounded empirically in psychological and sociocultural theories of learning. Overall, we believe this special issue achieved our goal to produce a balanced consideration that highlights the advancements in learning and learning theory mobile devices might afford, and to temper any premature enthusiasm about these potential benefits.

Today the world revolves around technology in daily tasks. Society uses technology to communicate, trade, for business, politics, and to education. Through education, Augmented Reality (AR) takes on a new purpose. AR enables students to reach a higher level of education, and teachers to efficiently engage students to see real-world situations. The use of technology in classrooms is currently on the rise; but how are teachers using AR within their classrooms to engage and education children? This chapter discusses literature and research supporting the AR affordances in K-12 Education.