1st Edition

Deeper Learning A Voice from Laboratory to Classroom

By Hang Hu Copyright 2022
210 Pages 76 B/W Illustrations
by Routledge

210 Pages 76 B/W Illustrations
by Routledge

210 Pages 76 B/W Illustrations
by Routledge

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... Read more
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

Biography

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).