Deeper Learning: A Voice from Laboratory to Classroom

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.

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).