Exploring Bilingualism in Education: A Machine-Generated Literature Overview by Udaya Muthyala
English | December 26, 2024 | ISBN: 981979353X | 390 pages | True ePUB, PDF | 3.38 Mb
This book presents a comprehensive introduction to the field of bilingualism and multilingualism with focus on education. It compiles various sub-themes such as minority and majority languages, childhood bilingualism, and the historical aspects of bilingualism. Each chapter is carefully structured and includes clear themes with introductory notes by the editor. The main focus is on the cognitive development of bilinguals and how they promote cultural diversity, presenting how bilingual education and second language teaching within the socio-political and multicultural landscape are interconnected. It discusses significant concepts such as translanguaging, an innovative approach that transcends traditional language boundaries, and the role of Multilingual Education (MLE) in shaping the future of learning. Research also focusses on macro-level issues, such as globalization and minority language preservation, and micro-level strategies for bilingual classrooms. In addition, it explores topics such as Dual Language schools, the economic benefits of bilingualism, and debates on language loss and bilingual education policy in different countries. These well-organized topics promote a holistic understanding of bilingualism and encourage a positive view of linguistic diversity and its role in creating a more inclusive, multicultural world. For educators, researchers and language enthusiasts, it is an invaluable resource that provides a thorough understanding of the nuances of bi/multilingual education.
The auto-summaries have been generated by a recursive clustering algorithm via the Dimensions Auto-summarizer by Digital Science handled by Subject Matter Experts and the editor of this book. The editor of this book selected which Springer Nature content should be auto-summarized and decided its order of appearance. Please be aware that these are extractive auto-summaries, which consist of original sentences, but are not representative of its original paper, since we do not show the full length of the publication. Please note that only published SN content is represented here, and that machine-generated books are still at an experimental stage.
Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
Links are Interchangeable - Single Extraction