Unleash powerful teaching and the science of learning in your classroom Powerful Teaching: Unleash the Science of Learning empowers educators to harness rigorous research on how students learn and unleash it in their classrooms. In this book, cognitive scientist Pooja K. Agarwal, Ph.D., and veteran K–12 teacher Patrice M. Bain, Ed.S., decipher cognitive science research and illustrate ways to successfully apply the science of learning in classrooms settings. This practical resource is filled with evidence-based strategies that are easily implemented in less than a minute—without additional prepping, grading, or funding! Research demonstrates that these powerful strategies raise student achievement by a letter grade or more; boost learning for diverse students, grade levels, and subject areas; and enhance students’ higher order learning and transfer of knowledge beyond the classroom. Drawing on a fifteen-year scientist-teacher collaboration, more than 100 years of research on learning, and rich experiences from educators in K–12 and higher education, the authors present highly accessible step-by-step guidance on how to transform teaching with four essential strategies: Retrieval practice, spacing, interleaving, and feedback-driven metacognition. With Powerful Teaching, you will: Develop a deep understanding of powerful teaching strategies based on the science of learning Gain insight from real-world examples of how evidence-based strategies are being implemented in a variety of academic settings Think critically about your current teaching practices from a research-based perspective Develop tools to share the science of learning with students and parents, ensuring success inside and outside the classroom Powerful Teaching: Unleash the Science of Learning is an indispensable resource for educators who want to take their instruction to the next level. Equipped with scientific knowledge and evidence-based tools, turn your teaching into powerful teaching and unleash student learning in your classroom.

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

All too often, key education initiatives collapse because leaders fail to anticipate and learn from the concerns of those charged with implementation. This illuminating book shows how education leaders can bring opposing groups to common ground, resulting in a solid plan built on diverse wisdom. Acclaimed education coach Jane Kise demonstrates how polarity thinking-a powerful tool for bridging differences developed by Barry Johnson of Polarity Partnerships-provides an alternative to endless debates and either/or thinking. Rather than seeing conflicting forces, the tools help us view them as equally important-even interdependent-concepts, approaches, or models. Readers will find: Ways to recognize polarities, map the positive and negative aspects, and channel energy wasted on disagreement toward a greater common purpose Tools for introducing and working with polarities Polarity mapping to help leaders improve processes for leading change and creating buy-in Ways to use polarity with students as a framework for higher-level thinking

"The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book "Artificial Intelligence in Education, Promises and Implications for Teaching and Learning" by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant." --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) "The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: "We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue."I commend this book to anyone concerned with the future of education in a digital world." --Marc Durando, Executive Director, European Schoolnet

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.

In this groundbreaking work, celebrated author and educational technology expert Adam Smith unravels the transformative potential of artificial intelligence (AI) within the sphere of K-12 education. With "Unleashing AI in the Classroom," Smith shines a bright light on the journey of integrating AI technologies in educational settings, creating a revolutionary framework that is both practical and engaging. Adam Smith takes readers on a voyage of discovery, explaining in-depth how AI can not only augment traditional teaching methodologies but also reshape the entire educational landscape. Drawing on a wealth of empirical research and real-world examples, Smith expounds on the current use cases of AI in classrooms across the globe, the implications for students, teachers, and parents, and the prospective challenges we might face. The book is divided into three integral parts. In the first, Smith takes the reader through the basics of artificial intelligence, demystifying the complex jargon and breaking down the essentials of AI into an easily digestible format. The second part focuses on the implementation of AI in the classroom, covering the range of tools and technologies available, practical strategies for adoption, and case studies showcasing successful applications. The final part revolves around future possibilities, examining the ethical considerations and societal implications of a future dominated by AI-enabled education. "Unleashing AI in the Classroom" is a must-read for educators, policymakers, parents, and technology enthusiasts, providing valuable insights into the immense potential of AI in education. Smith skillfully crafts a comprehensive guide that will serve as a roadmap for any school or educational body looking to revolutionize their teaching and learning experiences with AI. This book is not just about the 'what' and 'why' of AI in education; it's a practical 'how-to' that equips the reader to become an active participant in the evolving educational landscape. With a balance of scholarly depth and accessible language, Adam Smith encourages educators to leap into the new era of teaching and learning, where AI is not a replacement for human teachers but a robust tool to enhance the educational experience. The future of education is here, and "Unleashing AI in the Classroom" is your passport to it.

What do we mean by the word ‘context’ in education and how does our context influence the way that we learn? What role can technology play in enhancing learning and what is the future of technology within learning? Re-Designing Learning Contexts seeks to re-dress the lack of attention that has traditionally been paid to a learner’s wider context and proposes a model to help educators and technologists develop more productive learning contexts. It defines context as the interactions between the learner and a set of inter-related resource elements that are not tied to a physical or virtual location. Context is something that belongs to an individual and that is created through their interactions in the world. Based on original, empirical research, the book considers the intersection between learning, context and technology, and explores: the meaning of the concept of context and it’s relationship to learning the ways in which different types of technology can scaffold learning in context the Learner-Centric ‘Ecology of Resources’ model of context as a framework for designing technology-rich learning environments the importance of matching available resources to each learner’s particular needs the ways in which the learner’s environment and the technologies available might change over the coming years the potential impact of recent technological developments within computer science and artificial intelligence. This interdisciplinary study draws on a range of disciplines, including geography, anthropology, psychology, education and computing, to investigate the dynamics and potential of teacher-learner interaction within a learning continuum, and across a variety of locations. It will be of interest to those teaching, researching and thinking about the use of technology in learning and pedagogy, as well as those involved in developing technology for education and those who use it in their own teaching. For practical examples of the way the Ecology of Resources framework has been used visit: http://eorframework.pbworks.com.