Deeper Learning

A Voice from Laboratory to Classroom
1. Auflage 2022
ISBN: 978-1-032-24397-9
Verlag: Routledge

Buch, Englisch, 210 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 487 g

Reihe: China Perspectives

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.

Zielgruppe

Postgraduate and Professional

Autoren/Hrsg.

Hu, Hang

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Sozialwissenschaften Psychologie Allgemeine Psychologie Kognitionspsychologie
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Allgemeine Didaktik Naturwissenschaften, Mathematik (Unterricht & Didaktik)

Inhaltsverzeichnis

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

Über Autor(innen)

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).