A systematic characterization of cognitive techniques for learning from textual and pictorial representations

Pictorial representations can play a pivotal role in both printed and digital learning material. Although there has been extensive research on cognitive techniques and strategies for learning from text, the same cannot be said for static and dynamic pictorial representations. In this paper we propos...

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Main Authors: Ploetzner, R., Lowe, Richard, Schlag, S.
Format: Journal Article
Published: Canadian Centre of Science and Education 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/17837
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author Ploetzner, R.
Lowe, Richard
Schlag, S.
author_facet Ploetzner, R.
Lowe, Richard
Schlag, S.
author_sort Ploetzner, R.
building Curtin Institutional Repository
collection Online Access
description Pictorial representations can play a pivotal role in both printed and digital learning material. Although there has been extensive research on cognitive techniques and strategies for learning from text, the same cannot be said for static and dynamic pictorial representations. In this paper we propose a systematic characterization of cognitive learning techniques that is founded on both theoretical and empirical research. The characterization relates the learning techniques to classes of cognitive processes as well as to textual and pictorial representations. We show how successful strategies for learning from both plain text and illustrated text are covered by the characterization. We also exemplify how the construction of new strategies for pictorial representations can be informed by the characterization.
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institution Curtin University Malaysia
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last_indexed 2025-11-14T07:23:05Z
publishDate 2013
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spelling curtin-20.500.11937-178372017-09-13T15:44:54Z A systematic characterization of cognitive techniques for learning from textual and pictorial representations Ploetzner, R. Lowe, Richard Schlag, S. learning techniques textual representations cognitive processes pictorial representations learning strategies Pictorial representations can play a pivotal role in both printed and digital learning material. Although there has been extensive research on cognitive techniques and strategies for learning from text, the same cannot be said for static and dynamic pictorial representations. In this paper we propose a systematic characterization of cognitive learning techniques that is founded on both theoretical and empirical research. The characterization relates the learning techniques to classes of cognitive processes as well as to textual and pictorial representations. We show how successful strategies for learning from both plain text and illustrated text are covered by the characterization. We also exemplify how the construction of new strategies for pictorial representations can be informed by the characterization. 2013 Journal Article http://hdl.handle.net/20.500.11937/17837 10.5539/jel.v2n2p78 Canadian Centre of Science and Education fulltext
spellingShingle learning techniques
textual representations
cognitive processes
pictorial representations
learning strategies
Ploetzner, R.
Lowe, Richard
Schlag, S.
A systematic characterization of cognitive techniques for learning from textual and pictorial representations
title A systematic characterization of cognitive techniques for learning from textual and pictorial representations
title_full A systematic characterization of cognitive techniques for learning from textual and pictorial representations
title_fullStr A systematic characterization of cognitive techniques for learning from textual and pictorial representations
title_full_unstemmed A systematic characterization of cognitive techniques for learning from textual and pictorial representations
title_short A systematic characterization of cognitive techniques for learning from textual and pictorial representations
title_sort systematic characterization of cognitive techniques for learning from textual and pictorial representations
topic learning techniques
textual representations
cognitive processes
pictorial representations
learning strategies
url http://hdl.handle.net/20.500.11937/17837