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'Neuromarketing in food retailing' provides the reader with fundamental theoretical and practical neuromarketing issues applied in food retailing. It provides tips on how to use neuromarketing techniques to reveal and understand hidden consumer reactions and make shopping convenient and effective.
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.
A Financial Times Book of the Year “The strongest documentation I have seen for the many ways in which inequality is harmful to economic growth.” —Jason Furman “A timely and very useful guide...Boushey assimilates a great deal of recent economic research and argues that it amounts to a paradigm shift.” —New Yorker Do we have to choose between equality and prosperity? Decisions made over the past fifty years have created underlying fragilities in our society that make our economy less effective in good times and less resilient to shocks, such as today’s coronavirus pandemic. Many think tackling inequality would require such heavy-handed interference that it would stifle economic growth. But a careful look at the data suggests nothing could be further from the truth—and that reducing inequality is in fact key to delivering future prosperity. Presenting cutting-edge economics with verve, Heather Boushey shows how rising inequality is a drain on talent, ideas, and innovation, leading to a concentration of capital and a damaging under-investment in schools, infrastructure, and other public goods. We know inequality is fueling social unrest. Boushey shows persuasively that it is also a serious drag on growth. “In this outstanding book, Heather Boushey...shows that, beyond a point, inequality damages the economy by limiting the quantity and quality of human capital and skills, blocking access to opportunity, underfunding public services, facilitating predatory rent-seeking, weakening aggregate demand, and increasing reliance on unsustainable credit.” —Martin Wolf, Financial Times “Think rising levels of inequality are just an inevitable outcome of our market-driven economy? Then you should read Boushey’s well-argued, well-documented explanation of why you’re wrong.” —David Rotman, MIT Technology Review
This book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels. While the majority of existing literature on the subject focuses on its application at large corporations, this book develops and showcases approaches that bring LA closer to smaller organizations, and to educational institutions that lack sufficient resources to implement a full-fledged LA infrastructure. In closing, the book introduces a set of software tools for data analytics and visualization, and explains how they can be employed in several LA scenarios.
Does competition spur productivity? And if so, how? These have long been regarded as central questions in economics. The extent of competition can be influenced by policy decisions, so understanding how competition impacts productivity and, in turn, living standards is of more than academic importance. To fully answer these questions of whether, and how, an increase in competition impacts productivity, two issues must be addressed. First, the authors define what we mean by an ¿increase in competition.¿ Second, they attempt to understand the mechanisms through which competition impacts productivity. Both issues present substantial challenges, which the authors address. Illustrations. This is a print-on-demand publication; it is not an original.
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.
United by the belief that the most significant factor in shaping the minds of young people is the cultural setting in which learning takes place, the twenty eminent contributors to this volume present new thinking on education across the boundaries of school, home, work and community.
Playway to English Second edition is a new version of the popular four-level course for teaching English to young children. Pupils acquire English through play, music and Total Physical Response, providing them with a fun and dynamic language learning experience. In the Teacher's Book: • Clear, comprehensive lesson plans with valuable suggestions for mixed-ability classes • Useful photocopiable resources to supplement lesson plans