Teaching and Learning

Provides a comprehensive reference for scholars, educators, stakeholders, and the general public on matters influencing and directly affecting education in today’s schools across the globe This enlightening handbook offers current, international perspectives on the conditions in communities, contemporary practices in schooling, relevant research on teaching and learning, and implications for the future of education. It contains diverse conceptual frameworks for analyzing existing issues in education, including but not limited to characteristics of today’s students, assessment of student learning, evaluation of teachers, trends in teacher education programs, technological advances in content delivery, the important role for school leaders, and innovative instructional practices to increase student learning. The Wiley Handbook of Teaching and Learning promotes new, global approaches to studying the process of education, demonstrates the diversity among the constituents of schooling, recognizes the need for and presents a variety of approaches to teaching and learning, and details exemplary practices in education. Divided into four sections focused on general topics—context and schooling; learners and learning; teachers and teaching; and educators as learners and leaders—and with all-new essays that look at what has been, what is, and what could be, this book is destined to inspire thoughtful contemplation from readers about what it means to teach and learn. Examines teaching, learners, and learning from a contemporary, international perspective, presenting alternative views and approaches Provides a single reference source for teachers, education leaders, and agency administrators Summarizes recent research and theory Offers evidence-based recommendations for practice Includes essays from established and emerging U.S. and international scholars Each chapter includes a section encouraging readers to think ahead and imagine what education might be in the future Scholars from around the world provide a range of evidence-based ideas for improving and modifying current educational practices, making The Wiley Handbook of Teaching and Learning an important book for the global education community and those planning on entering into it.

The Handbook of Technology and Second Language Teaching and Learning presents a comprehensive exploration of the impact of technology on the field of second language learning. The rapidly evolving language-technology interface has propelled dramatic changes in, and increased opportunities for, second language teaching and learning. Its influence has been felt no less keenly in the approaches and methods of assessing learners' language and researching language teaching and learning. Contributions from a team of international scholars make up the Handbook consisting of four parts: language teaching and learning through technology; the technology-pedagogy interface; technology for L2 assessment; and research and development of technology for language learning. It considers how technology assists in all areas of language development, the emergence of pedagogy at the intersection of language and technology, technology in language assessment, and major research issues in research and development of technologies for language learning. It covers all aspects of language including grammar, vocabulary, reading, writing, listening, speaking, pragmatics, and intercultural learning, as well as new pedagogical and assessment approaches, and new ways of conceiving and conducting research and development. The Handbook of Technology and Second Language Teaching and Learning demonstrates the extensive, multifaceted implications of technology for language teachers, learners, materials-developers, and researchers.

Empirical Research in Teaching and Learning: Contributions from Social Psychology draws upon the latest empirical research and empirically-based theories from social psychology to inform the scholarship of teaching and learning. Provides an accessible theoretical grounding in social psychological principles and addresses specific empirical evidence drawn from teaching and learning contexts Features concrete strategies for use in the classroom setting Includes contributions from experts in both social psychology and the scholarship of teaching and learning

A comprehensive resource for higher education professionals interested in sustainability pedagogy In The Wiley Handbook of Sustainability in Higher Education Learning and Teaching, a team of distinguished researchers delivers an insightful reference for higher education professionals seeking to embed sustainability in learning and teaching. The book offers a way for higher education institutions to implement sustainability goals in their curricula and provides comprehensive guidance to educators, researchers and practitioners. The authors discuss recent developments in technological innovations, best practices, lessons learned, current challenges, and reflections in the area of sustainability teaching in higher education. They also examine the impact of the COVID-19 pandemic on sustainability education. With contributors from a variety of disciplines, including engineering, medicine, urban design, business, environmental science, and social science, the book considers the embedding of sustainability in regenerative learning ecologies, living laboratories, and transgressive forms of learning. It also includes: A thorough introduction to activist learning for sustainability and outcome-based education towards achieving sustainable goals in higher education Comprehensive explorations of factors that hinder the implementation of sustainability initiatives in higher education institutions Practical discussions of developing stakeholder agency in higher education sustainability initiatives In-depth examinations of global trends and country-specific initiatives in sustainability teaching Perfect for education developers seeking to incorporate sustainability, The Wiley Handbook of Sustainability in Higher Education Learning and Teaching is also ideal for academics, researchers, policymakers, and accreditation personnel working in the area of sustainability.

Informatics and Machine Learning Discover a thorough exploration of how to use computational, algorithmic, statistical, and informatics methods to analyze digital data Informatics and Machine Learning: From Martingales to Metaheuristics delivers an interdisciplinary presentation on how analyze any data captured in digital form. The book describes how readers can conduct analyses of text, general sequential data, experimental observations over time, stock market and econometric histories, or symbolic data, like genomes. It contains large amounts of sample code to demonstrate the concepts contained within and assist with various levels of project work. The book offers a complete presentation of the mathematical underpinnings of a wide variety of forms of data analysis and provides extensive examples of programming implementations. It is based on two decades worth of the distinguished author’s teaching and industry experience. A thorough introduction to probabilistic reasoning and bioinformatics, including Python shell scripting to obtain data counts, frequencies, probabilities, and anomalous statistics, or use with Bayes’ rule An exploration of information entropy and statistical measures, including Shannon entropy, relative entropy, maximum entropy (maxent), and mutual information A practical discussion of ad hoc, ab initio , and bootstrap signal acquisition methods, with examples from genome analytics and signal analytics Perfect for undergraduate and graduate students in machine learning and data analytics programs, Informatics and Machine Learning: From Martingales to Metaheuristics will also earn a place in the libraries of mathematicians, engineers, computer scientists, and life scientists with an interest in those subjects.

Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine learning, and to demonstrate how to apply them in the fields of engineering.

Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on machine learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on machine learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated.

This book examines current research centered on the second language classroom and the implications of this research for both the teaching and learning of foreign languages. It offers illuminating insights into the important relationship between research and teaching, and the inherent complexities of the teaching and learning of foreign languages in classroom settings. Offers an accessible overview of a range of research on instruction and learning in the L2 classroom Bridges the relationship between research, teachers, and learners Helps evolve the practice of dedicated current language teachers with research findings that suggest best practices for language teaching

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.

Learning disabilities and mental health: a nursing perspective provides an evidence-based perspective on care of individuals with learning disabilities and mental health problems. Around 30% to 40% of people with learning disabilities will experience mental health disorders during their lives. Many learning disability nurses and a significant number of mental health nurses are in daily contact with this group, and their complex needs are not often well understood. Examines current theory and practice in supporting people with learning disabilities and additional mental health needs Evaluates the learning disability nursing contribution to care Identifies the key knowledge and skills required by learning disability and mental health nurses and other health care professionals Addresses key issues in contemporary practice Explores assessment of needs in order to provide needs-led services