Analytical framework for student-generated drawings

This article presents the development, description, application, and discussion of an analytical framework to examine students’ drawings of scientific concepts and processes. Student-generated representation, particularly drawing, is increasingly emphasised as an important learning strategy to help...

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Main Authors: Tang, Kok-Sing, Won, Mihye, Treagust, David
Format: Journal Article
Language:English
Published: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 2019
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/84693
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author Tang, Kok-Sing
Won, Mihye
Treagust, David
author_facet Tang, Kok-Sing
Won, Mihye
Treagust, David
author_sort Tang, Kok-Sing
building Curtin Institutional Repository
collection Online Access
description This article presents the development, description, application, and discussion of an analytical framework to examine students’ drawings of scientific concepts and processes. Student-generated representation, particularly drawing, is increasingly emphasised as an important learning strategy to help students reason, explain, and demonstrate their scientific thinking and understanding. Although this strategy would require a greater need to understand what students are drawing, there are currently few frameworks that can support researchers and educators in analysing student-generated drawings. Based on the theory of social semiotics and an empirical data corpus of students’ drawings from two research projects, we developed an analytical framework to describe and categorise a broad range of ideas and relationships that students are representing through their drawings in physics and chemistry. The application of this framework will be illustrated by two analytical examples of students’ drawings in the topics of rotational moment and chemical bonding. The first example analysed students’ drawings in relation to their accompanying written explanations, while the second example analysed the students’ drawings in conjunction with the occurring classroom discourse. Through the illustration, the research and pedagogical applications and usefulness of this analytical framework will be discussed.
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spelling curtin-20.500.11937-846932021-08-10T02:54:22Z Analytical framework for student-generated drawings Tang, Kok-Sing Won, Mihye Treagust, David Social Sciences Education & Educational Research Visual analysis drawing multiple representations student-generated representations learning with representations multimodality social semiotics REPRESENTATIONS SCIENCE MULTIPLE This article presents the development, description, application, and discussion of an analytical framework to examine students’ drawings of scientific concepts and processes. Student-generated representation, particularly drawing, is increasingly emphasised as an important learning strategy to help students reason, explain, and demonstrate their scientific thinking and understanding. Although this strategy would require a greater need to understand what students are drawing, there are currently few frameworks that can support researchers and educators in analysing student-generated drawings. Based on the theory of social semiotics and an empirical data corpus of students’ drawings from two research projects, we developed an analytical framework to describe and categorise a broad range of ideas and relationships that students are representing through their drawings in physics and chemistry. The application of this framework will be illustrated by two analytical examples of students’ drawings in the topics of rotational moment and chemical bonding. The first example analysed students’ drawings in relation to their accompanying written explanations, while the second example analysed the students’ drawings in conjunction with the occurring classroom discourse. Through the illustration, the research and pedagogical applications and usefulness of this analytical framework will be discussed. 2019 Journal Article http://hdl.handle.net/20.500.11937/84693 10.1080/09500693.2019.1672906 English ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD fulltext
spellingShingle Social Sciences
Education & Educational Research
Visual analysis
drawing
multiple representations
student-generated representations
learning with representations
multimodality
social semiotics
REPRESENTATIONS
SCIENCE
MULTIPLE
Tang, Kok-Sing
Won, Mihye
Treagust, David
Analytical framework for student-generated drawings
title Analytical framework for student-generated drawings
title_full Analytical framework for student-generated drawings
title_fullStr Analytical framework for student-generated drawings
title_full_unstemmed Analytical framework for student-generated drawings
title_short Analytical framework for student-generated drawings
title_sort analytical framework for student-generated drawings
topic Social Sciences
Education & Educational Research
Visual analysis
drawing
multiple representations
student-generated representations
learning with representations
multimodality
social semiotics
REPRESENTATIONS
SCIENCE
MULTIPLE
url http://hdl.handle.net/20.500.11937/84693