Wie hängen sprachliche und mathematische Entwicklung zusammen? Dieser Frage wird derzeit mit großem Interesse aus unterschiedlichen Perspektiven nachgegangen. Dieser Sammelband vereint Erkenntnisse aus Psychologie, Neurowissenschaften, Mathematikdidaktik, (Psycho-)Linguistik und Mehrsprachigkeitsforschung. Der interdisziplinäre Ansatz bietet einen umfassenden Blick auf den aktuellen Forschungsstand, dargestellt von national und international renommierten Forschenden. Das Buch gliedert sich in drei Teile. Der erste Teil „Modelle und Theorien“ fasst theoretische Überlegungen zusammen und stellt Strukturen für Forschung und Praxis bereit. Dieser Teil dient dazu, den Grundstein für die anderen Teile sowie für zukünftige Forschung zu legen. Der zweite Teil „Kindergartenalter“ sowie der dritte Teil „Grundschulalter“ decken empirische Befunde über die Korrelation zwischen Sprache und mathematischem Lernen in der jeweiligen Altersgruppe ab. Ein besonderer Fokus liegt hierbei auf dem Aspekt der Mehrsprachigkeit. Damit bietet dieser Sammelband eine große Bandbreite fachspezifischen Wissens für Bildungswissenschaftler*innen, Lehramtsstudierende, Psycholog*innen und Forschende zur Mehrsprachigkeit.

To what extent do our accents determine the way we are perceived by others? Is a foreign accent inevitably associated with social stigma? Accent is a matter of great public interest given the impact of migration on national and global affairs, but until now, applied linguistics research has treated accent largely as a theoretical puzzle. In this fascinating account, Alene Moyer examines the social, psychological, educational and legal ramifications of sounding 'foreign'. She explores how accent operates contextually through analysis of issues such as: the neuro-cognitive constraints on phonological acquisition, individual factors that contribute to the 'intractability' of accent, foreign accent as a criterion for workplace discrimination, and the efficacy of instruction for improving pronunciation. This holistic treatment of second language accent is an essential resource for graduate students and researchers interested in applied linguistics, bilingualism and foreign language education.

Washback refers to the influence of language testing on teaching and learning. This volume, at the important intersection of language testing and teaching practices, presents theoretical, methodological, and practical guidance for current and future washback studies. In the field of language testing, researchers' major interest has traditionally been focused on issues and solving problems inherent in tests in order to increase their reliability and validity. However, the washback effect goes well beyond the test itself to include factors, such as curriculum, teacher and learner behaviors inside and outside the classroom, their perceptions of the test, and how test scores are used. Only recently have researchers started to empirically investigate the phenomenon of washback. This volume of such research serves two essential purposes by: *providing an overview of the complexity of washback and the various contextual factors entangled within testing, teaching, and learning; and *presenting empirical studies from around the world that offer insights into the effects of washback in specific educational contexts and models of research on which future studies can be based. The extensive use of test scores for various educational and social purposes in society nowadays makes the washback effect a high-interest phenomenon in the day-to-day educational activities of teachers, researchers, program coordinators/directors, policymakers, and others in the field of education. Washback in Language Testing: Research Contexts and Methods is a valuable resource for those who are interested in the application of findings to actual teaching and learning situations or conduct washback research in their own contexts, including educational and psychological testing experts, as well as alternative assessment people in all fields, and for policy- and decision-makers in educational and testing organizations.

This book presents papers from the International Conference on Integrating Engineering Education and Humanities for Global Intercultural Perspectives (IEEHGIP 2020), held on 25–27 March 2020. The conference brought together researchers and practitioners from various disciplines within engineering and humanities to offer a range of perspectives. Focusing on, but not limited to, Content and Language Integrated Learning (CLIL) in Russian education the book will appeal to a wide academic audience seeking ways to initiate positive changes in education.

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

"The impressive and stimulating essays in Bridging Transcultural Divides deal with the cultural and educational issues in the Australian context. (...) The books central message is that education for Asian students in Australia, and more broadly in the West, can no longer been seen as a one-way transfer of knowledge, but must be understood as a process of reciprocal learning in which both teachers and students are changed by the experience." - Prof. Tim Wright, University of Sheffield.