Hang Hu

Deeper Learning (eBook, PDF)

A Voice from Laboratory to Classroom

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 210
• Erscheinungstermin: 19. April 2022
• Englisch
• ISBN-13: 9781000567885
• Artikelnr.: 63775996

Autorenporträt

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).

Inhaltsangabe

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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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