Return to search

A review of how to optimize learning from external representations

Published Article / This article reviews research on learning with external representations and provides a theoretical background on how to optimize learning from external representations. General factors, such as the type of material to be learned, learner characteristics and the testing method, are some of the variables that can determine if graphic medium can increase a subject's comprehension and if such comprehension can be accurately measured. These factors are discussed and represented by a model to suggest how external representations can be effectively used in a learning environment. Two key conclusions are drawn from the observation made in these studies. Firstly, the proper design of a particular external representation and supporting text can promote relevant activities that ultimately contribute to fuller understanding of the content. Secondly, external representations must be developed to address the size complexity and variety of the content that must be analysed in order to extract knowledge for scientific discovery.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:cut/oai:ir.cut.ac.za:11462/635
Date January 2013
CreatorsMoremoholo, T.P.
ContributorsCentral University of Technology, Free State, Bloemfontein
PublisherJournal for New Generation Sciences, Vol 11, Issue 2: Central University of Technology, Free State, Bloemfontein
Source SetsSouth African National ETD Portal
Languageen_US
Detected LanguageEnglish
TypeArticle
Format123 045 bytes, 1 file, Application/PDF
RightsCentral University of Technology, Free State, Bloemfontein
RelationJournal for New Generation Sciences;Vol 11, Issue 2

Page generated in 0.0021 seconds