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Deeper Learning: A Voice from Laboratory to Classroom [Mīkstie vāki]

  • Formāts: Paperback / softback, 192 pages, height x width: 234x156 mm, weight: 390 g, 59 Tables, black and white; 60 Line drawings, black and white; 16 Halftones, black and white; 76 Illustrations, black and white
  • Sērija : China Perspectives
  • Izdošanas datums: 27-May-2024
  • Izdevniecība: Routledge
  • ISBN-10: 1032244674
  • ISBN-13: 9781032244679
  • Mīkstie vāki
  • Cena: 54,71 €
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  • Formāts: Paperback / softback, 192 pages, height x width: 234x156 mm, weight: 390 g, 59 Tables, black and white; 60 Line drawings, black and white; 16 Halftones, black and white; 76 Illustrations, black and white
  • Sērija : China Perspectives
  • Izdošanas datums: 27-May-2024
  • Izdevniecība: Routledge
  • ISBN-10: 1032244674
  • ISBN-13: 9781032244679
Integrating brain science, cognitive psychology, education and information technology, the books studies how technology promoted deeper learning on mathematics in Chinese primary schools.

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.

1: Theoretical foundations of deeper learning 2: The connotation and
mechanism of deeper learning 3: Exploring the major influencing factors of
technology-enhanced deeper learning of mathematics in primary schools
4Classroom verification of deeper learning 5: Components of deeper learning
teaching content 6: Digital resource development for deeper learning 7:
Teaching method of deeper learning: personalized-cooperative learning 8:
Observation of learning-brain
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).