Deeper Learning: A Voice from Laboratory to Classroom
Author:   Hang Hu
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032244679


Pages:   192
Publication Date:   27 May 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Deeper Learning: A Voice from Laboratory to Classroom


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Full Product Details

Author:   Hang Hu
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.390kg
ISBN:  

9781032244679


ISBN 10:   1032244674
Pages:   192
Publication Date:   27 May 2024
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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 4：Classroom 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

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Author Information

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).

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