Explanatory Animations in the Classroom. Student-Authored Animations as Digital Pedagogy. 1st ed. 2020.

Autor/in	Jacobs, Brendan
Titel	Explanatory Animations in the Classroom. Student-Authored Animations as Digital Pedagogy. 1st ed. 2020.
Quelle	Singapore: Springer Singapore (2020), XII, 80 S. PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	SpringerBriefs in Education
Beigaben	Illustrationen 28; farbige Illustrationen 24
Sprache	englisch
Dokumenttyp	online; gedruckt; Monographie
ISBN	978-981-15-3524-6; 978-981-15-3525-3; 978-981-15-3526-0
DOI	10.1007/978-981-15-3525-3
Schlagwörter	Lehrerbildung; Lernen; Unterrichtsprozess; Unterrichtsmedien; Unterrichtstechnologie; Unterricht
Abstract	This book provides groundbreaking evidence demonstrating how student-authored explanatory animations can embody and document learning as an exciting new development within digital pedagogy. Explanatory animations can be an excellent resource for teaching and learning but there has been an underlying assumption that students are predominately viewers rather than animation authors. The methodology detailed in this book reverses this scenario by putting students in the driver's seat of their own learning. This signals not just a change in perspective, but a complete change in activity that, to continue the analogy, will forever change the conversation and make redundant phrases like "Are we there yet?" and "How much longer?" The digital nature of such practices provides compelling evidence for reconceptualising explanatory animation creation as a pedagogical activity that generates multimodal assessment data. Tying together related themes to advance approaches to evidence-based assessment using digital technologies, this book is intended for educators at any stage of their journey, including pre-service teachers. Contents: 1 Introduction: Learning from the Driver's Seat -- 2 Theoretical Framework -- 3 Methodology and the Explanatory Animation Framework (EAF) -- 4 Insights from the Reverse engineering Explanatory Animation Learning Method (REALM).
Erfasst von	Universitätsbibliothek der Humboldt-Universität zu Berlin
Update	2022/2