Deeper Learning: A Voice from Laboratory to Classroom

Hu, Hang

  • 出版商: Routledge
  • 出版日期: 2024-05-27
  • 售價: $2,090
  • 貴賓價: 9.5$1,986
  • 語言: 英文
  • 頁數: 192
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032244674
  • ISBN-13: 9781032244679
  • 海外代購書籍(需單獨結帳)

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商品描述

Integrating brain science, cognitive psychology, education and information technology, the books studies how technology has promoted deeper learning on mathematics in Chinese primary schools.

After introducing the theoretical basis, connotation and mechanism of deeper learning, the author fully explains its practice, including the composition of deeper learning teaching content, the development of digital resources, classroom teaching technology and teachers' professional development of deeper learning. He especially adopts multiple and interdisciplinary research methods, such as deeper learning "triangle evidence" paradigm, learning brain observation, education big data analysis, artificial intelligence education analysis, education action, and qualitative and quantitative research.

On one hand, the book will give researchers of learning theory and pedagogy an in-depth understanding of what deeper learning is and why it provides a systematic theoretical system; on the other hand, it will also provide school practitioners with operational methods and cases to learn from.

作者簡介

Hang Hu is an associate professor at Southwest University, Chongqing, China. He focuses on "deeper learning" and has published over 30 academic papers in SCI, SSCI and CSSCI journals. The research result "Empirical Study on Technology for Deeper learning in Primary Mathematics" won the National Award for Outstanding Achievements in Educational Science Research (2018).

作者簡介(中文翻譯)

杭虎是中國重慶西南大學的副教授。他專注於「深度學習」並在SCI、SSCI和CSSCI期刊上發表了30多篇學術論文。他的研究成果「小學數學深度學習技術的實證研究」獲得了2018年全國教育科學研究優秀成果獎。