Blockchain relies on distributed databases that give an alterable and semipublic record of digital transactions. Blockchain in learning should address theoretical, practical, and technical issues, but it must also consider the philosophy behind interactive blockchain in learning. While the applications of blockchain have been the subject of serious academic research, there must be more continuous and multicultural attention paid to the impact of the latest management, communication, pedagogy, technology, and evaluation-based developments of blockchain in learning. Blockchain Technology Applications in Education is an essential scholarly publication that scrutinizes how open universities establish a blockchain network for decentralized learning. This book will explore a variety of new management models, communicational actions, pedagogical approaches, new technologies, and evaluation models. There will be new trends, patterns, and customs of blockchain in learning drawn from the distinctive improvements in learning milieus. Highlighting a range of topics such as corporate education, lifelong learning, and social media, this book is essential for academicians, curriculum designers, instructional designers, IT consultants, administrators, researchers, and students.

Educational inequalities between students begin early, as children enter kindergarten with vastly different sets of background knowledge and experiences that do (or in many cases do not) prepare them to learn successfully in school. Many children enter school with skills and prior knowledge so low that they are unable to overcome this lack during the kindergarten year, leaving them unprepared for first grade. Predictably, these deficits only widen as the children progress on to subsequent grades. Conversely, children who enter kindergarten prepared to learn, and leave kindergarten having mastered key competencies in literacy and numeracy, are more likely to succeed throughout their schooling and later in life. The recent pandemic has only exacerbated this problem of learner variability. Differences in school approaches to remote or hybrid learning and variability in family and home environments have all impacted the performance of children, many of whom are now nearly a year behind. The pandemic has forced us all to consider the ways in which traditional models of schooling have fallen short, and how we might better design programs that leverage all the inputs in a young child's life (the home, parents, school, community, technology, and more) to ensure that their learning needs are met. If we hope to solve this problem at scale, we must re-examine what we know about these formative early years and develop new ways to ensure that children enter kindergarten ready to learn and leave kindergarten with all the competencies they need succeed in later schooling and beyond. We must consider of all the factors that contribute to a child's school readiness, as well as the critical learning must take place during the kindergarten year. It requires the examination of factors that most influence children's development during the first five years, and their lasting effects on the rest of children's lives. More importantly, we must examine the ways that we, as stakeholders, can influence outcomes for young children by creating synergies between and among these various factors. With all this in mind, this book proposes to assemble the most current research and thought-leadership on the ways in which innovative education stakeholders are working together to impact what are perhaps the most critical years in a child's education - the years leading up to and including kindergarten. Ensuring that children enter kindergarten ready to learn and leave kindergarten with all the key competencies required for later success must be pursued with intensity, creativity, and purpose if we truly wish to address learner variability and its impact on achievement at scale. This book will Illuminate the problem of learner variability in early childhood education, its short and long-term effects on K-12 education and life beyond school, and the potential of technological innovations to address this problem at scale.

Helping teachers understand and apply theory and research is one of the most challenging tasks of teacher preparation and professional development. As they learn about motivation and engagement, teachers need conceptually rich, yet easy-to-use, frameworks. At the same time, teachers must understand that student engagement is not separate from development, instructional decision-making, classroom management, student relationships, and assessment. This volume on teaching teachers about motivation addresses these challenges. The authors share multiple approaches and frameworks to cut through the growing complexity and variety of motivational theories, and tie theory and research to real-world experiences that teachers are likely to encounter in their courses and classroom experiences. Additionally, each chapter is summarized with key "take away" practices. A shared perspective across all the chapters in this volume on teaching teachers about motivation is "walking the talk." In every chapter, readers will be provided with rich examples of how research on and principles of classroom motivation can be re-conceptualized through a variety of college teaching strategies. Teachers and future teachers learning about motivation need to experience explicit modeling, practice, and constructive feedback in their college courses and professional development in order to incorporate those into their own practice. In addition, a core assumption throughout this volume is the importance of understanding the situated nature of motivation, and avoiding a "one-size-fits" all approach in the classroom. Teachers need to fully interrogate their instructional practices not only in terms of motivational principles, but also for their cultural relevance, equity, and developmental appropriateness. Just like P-12 students, college students bring their histories as learners and beliefs about motivation to their formal study of motivation. That is why college instructors teaching motivation must begin by helping students evaluate their personal beliefs and experiences. Relatedly, college instructors need to know their students and model differentiating their interactions to support each of them. The authors in this volume have, collectively, decades of experience teaching at the college level and conducting research in motivation, and provide readers with a variety of strategies to help teachers and future teachers explore how motivation is supported and undermined. In each chapter in this volume, readers will learn how college instructors can demonstrate what effective, motivationally supportive classrooms look, sound, and feel like.

Within higher education, there are enormous untapped opportunities for product/services companies, administrators, educators, start-ups. and technology professionals to begin embracing artificial intelligence (AI) across the student ecosystem and infuse innovation into traditional academic processes by leveraging disruptive technologies. This type of human-machine interface presents the immediate potential to change the way we learn, memorize, access, and create information. These solutions present new openings for education for all while fostering lifelong learning in a strengthened model that can preserve the integrity of core values and the purpose of higher education. Impact of AI Technologies on Teaching, Learning, and Research in Higher Education explores the phenomena of the emergence of the use of AI in teaching and learning in higher education, including examining the positive and negative aspects of AI. Recent technological advancements and the increasing speed of adopting new technologies in higher education are discussed in order to predict the future nature of higher education in a world where AI is part of the fabric of universities. The book also investigates educational implications of emerging technologies on the way students learn and how institutions teach and evolve. Finally, challenges for the adoption of these technologies for teaching, learning, student support, and administration are addressed. Highlighting such tools as machine learning, natural language processing, and self-learning systems, this scholarly book is of interest to university administrators, educational software developers, instructional designers, policymakers, government officials, academicians, researchers, and students, as well as international agencies, organizations, and professionals interested in implementing AI in higher education.