Buch, Englisch, 210 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 476 g
Reihe: China Perspectives
A Voice from Laboratory to Classroom
Buch, Englisch, 210 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 476 g
Reihe: China Perspectives
ISBN: 978-1-03-224397-9
Verlag: Taylor & Francis Ltd (Sales)
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.
Fachgebiete
- Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Allgemeine Didaktik Naturwissenschaften, Mathematik (Unterricht & Didaktik)
- Sozialwissenschaften Psychologie Allgemeine Psychologie Kognitionspsychologie
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
Weitere Infos & Material
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