J. R. Martin, Len Unsworth

Reading Images for Knowledge Building (eBook, PDF)

Analyzing Infographics in School Science

• Format: PDF

Produktbeschreibung

This innovative volume provides a new analytic framework for understanding how meaning-making resources are deployed in images designed for knowledge building in school science.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 304
• Erscheinungstermin: 7. August 2023
• Englisch
• ISBN-13: 9781000915464
• Artikelnr.: 68324202

Autorenporträt

J.R. Martin is Professor of Linguistics at the University of Sydney. His research interests include systemic theory, functional grammar, discourse semantics, register, genre, multimodality and positive discourse analysis (PDA), focusing on English, Tagalog and Korean. He was elected a fellow of the Australian Academy of the Humanities in 1998, was Head of its Linguistics Section from 2010-2012, and was awarded a Centenary Medal for his services to linguistics and philology in 2003. In April 2014, Shanghai Jiao Tong University opened its Martin Centre for Appliable Linguistics, appointing Professor Martin as Director.

Len Unsworth is Professor in English and Literacies Education in the Institute for Learning Sciences and Teacher Education (ILSTE) at the Australian Catholic University. Len's current research interests include systemic functional semiotic perspectives on multimodal and digital disciplinary literacies and in English curricula. His most recent books include Multimodal Literacy in School Science: Transdisciplinary Perspectives on Theory, Research and Pedagogy (Routledge, 2022), Learning from Animations in Science Education: Innovating in Semiotic and Educational Research (2020), and Literacy for Digital Futures: Mind, Body, Text with Kathy Mills and Laura Scholes (Routledge, 2022). https://lenunsworth.wordpress.com/.

Inhaltsangabe

List of Figures
List of Tables
Preface
Acknowledgements
1. Images In Disciplinary Discourse in School Science
PART I Disciplinary Discourse for Knowledge Building: Systemic Functional
Semiotic Perspectives
2. Mass and presence
PART II Image Complexity - Mass
3. Technicality
4. Iconization
5. Aggregation
PART III Image Recognizability - Presence
6. Explicitness
7. Affiliation
8. Congruence
PART IV Applying Image Analyses for Knowledge Representation
9. Mass Presence and Cumulative Knowledge Building
10. Mass and Presence in Biology, Chemistry and Physics Textbook
Infographics