Deeper Learning

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JNH6NUT1O4O
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Geliefert zwischen Mi., 07.01.2026 und Do., 08.01.2026

Details

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

Autorentext

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).


Inhalt
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

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09781032243979
    • Herausgeber Routledge
    • Anzahl Seiten 192
    • Genre IT Encyclopedias
    • Gewicht 453g
    • Untertitel A Voice from Laboratory to Classroom
    • Größe H234mm x B156mm
    • Jahr 2022
    • EAN 9781032243979
    • Format Fester Einband
    • ISBN 978-1-03-224397-9
    • Veröffentlichung 20.04.2022
    • Titel Deeper Learning
    • Autor Hang Hu
    • Sprache Englisch

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