Learning Sciences Research for Teaching

1. Auflage 2022
ISBN: 978-1-138-90289-3
Verlag: Routledge

Buch, Englisch, 372 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 692 g

Learning Sciences Research for Teaching provides educators with a fresh understanding of the use and implications of learning sciences scholarship on their studies and professional preparation. A highly interdisciplinary field, the learning sciences has been expressly focused on the advancement of teaching and learning in today’s schools. This introductory yet cutting-edge resource supports graduate students of teaching, leadership, curriculum, and learning design in research methodology courses as they engage with and evaluate research claims; integrate common methods; and understand experimental, case-based, ethnographic, and design-based research studies. Spanning the learning science’s state-of-the-art approaches, achievements, and developments, the book includes robust, accessible coverage of topics such as professional development, quantitative and qualitative data, learning analytics, validity and integrity, and more.

Please visit https://dple.nl/learning-sciences-research-for-teaching for additional resources, exercises, and a brief video introduction from the authors!

Zielgruppe

Academic, Postgraduate, Professional, and Professional Practice & Development

Autoren/Hrsg.

Aalst, Jan van

Mu, Jin

Dam¿a, Crina

Damsa, Crina

Msonde, Sydney E.

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Methoden des Lehrens und Lernens
• Sozialwissenschaften Pädagogik Pädagogik Pädagogische Psychologie

Inhaltsverzeichnis

Part I: Foundations 1. Opening the conversation 2. Using research in professional development 3. Elementary Statistics 4. Accessing the Research Literature 5. The Research Article 6. Science, social science, and the "post" discourses 7. Validity, integrity, and impact Part II: Selected Approaches 8. Experimental Research 9. Case Studies and Ethnography 10. Design research Part III: Selected Methods 11. Quantitative instruments 12. Estimation and hypothesis testing 13. Correlation and linear regression analysis 14. Analysis of Experiments 15. Learning Analytics 16. Collecting and Processing Qualitative Data 17. Qualitative data analysis Appendices

Über Autor(innen)

Jan van Aalst is Honorary Associate Professor in the Faculty of Education at the University of Hong Kong, and Visiting Scholar in ELAN, Faculty of Behavioral Sciences and Management, at the University of Twente, the Netherlands.

Jin Mu is a senior research fellow in the Mathematics Department, University of Munich, Germany.

Crina Damsa is Associate Professor in the Department of Education at the University of Oslo, Norway.

Sydney E. Msonde is Senior Lecturer at Muhimbili University of Health and Allied Sciences in Dar es Salaam, Tanzania.