英語教育の進化:AI機械生成による研究文献マッピング<br>Evolution of English Language Teaching : A Machine-Generated Literature Overview

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英語教育の進化:AI機械生成による研究文献マッピング
Evolution of English Language Teaching : A Machine-Generated Literature Overview

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  • 製本 Hardcover:ハードカバー版/ページ数 399 p.
  • 言語 ENG
  • 商品コード 9789819618231
  • DDC分類 428.0071

Full Description

This book offers a machine-generated literature survey review of the vibrant history and multifaceted dimensions of English Language Teaching (ELT). It discusses its remarkable evolution and its profound impact across various fields. Its impact extends beyond education: influencing psychology, developmental studies, communication strategies for leaders and language proficiency assessment for migrants and job seekers. Each chapter is organized by the book editor along a chronological progression and begins with a human-written introduction. Each chapter chronicles a stage in ELT's growth, using publication dates as reference points and provides summaries of selected publications, offering readers the freedom to explore the various aspects of ELT. This reader-friendly volume accommodates diverse readers, including students, educators, researchers, policymakers and anyone intrigued by the intricate tapestry of English Language Teaching. It's a comprehensive journey through the evolution of ELT, reflecting its synchronous and diachronic dimensions, all within a single, accessible volume.

The auto-summaries have been generated by a recursive clustering algorithm via the Dimensions Auto-summarizer by Digital Science. The editors 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 the 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.

Contents

1. Introduction.- 2. 2001-2014: The Years of Consolidation.- 3. 2015-17: The Years of Reinforcement.- 4. 2018-19: Exploring the Territory.- 5. 2020-21: Changing Orientations.- 6. 2022: Mobilization and Optimization.- 7. 2023 Onwards: Future Readiness.

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