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El. knyga: Deeper Learning: A Voice from Laboratory to Classroom [Taylor & Francis e-book]

  • Formatas: 192 pages, 59 Tables, black and white; 60 Line drawings, black and white; 16 Halftones, black and white; 76 Illustrations, black and white
  • Serija: China Perspectives
  • Išleidimo metai: 20-Apr-2022
  • Leidėjas: Routledge
  • ISBN-13: 9781003278702
  • Taylor & Francis e-book
  • Kaina: 161,57 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standartinė kaina: 230,81 €
  • Sutaupote 30%
  • Formatas: 192 pages, 59 Tables, black and white; 60 Line drawings, black and white; 16 Halftones, black and white; 76 Illustrations, black and white
  • Serija: China Perspectives
  • Išleidimo metai: 20-Apr-2022
  • Leidėjas: Routledge
  • ISBN-13: 9781003278702
"Integrating brain science, cognitive psychology, education and information technology, the books studies how technology 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, qualitative andquantitative 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"--

Integrating brain science, cognitive psychology, education and information technology, the books studies how technology promoted deeper learning on mathematics in Chinese primary schools.
List of figures
vi
List of tables
ix
Acknowledgements xi
Preface xiii
Contributor xviii
1 Theoretical foundations of deeper learning
1(10)
2 The connotation and mechanism of deeper learning
11(18)
3 Exploring the major influencing factors of technology-enhanced deeper learning of mathematics in primary schools
29(24)
4 Classroom verification of deeper learning
53(40)
5 Components of deeper learning teaching content
93(19)
6 Digital resource development for deeper learning
112(14)
7 Teaching method of deeper learning: "Personalized-cooperative" learning
126(17)
8 Observation of learning-brain
143(48)
Index 191
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).