Identification and Analysis of Primary School Children’s Knowledge Acquisition: Using Knowledge Visualization Scenarios and Information Visualization Methodology

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Abstract

Measuring a learning effect can be difficult task and is not made any easier with all the parameters that can be taken into account. This chapter will provide an insight on what to consider as interesting parameters, when evaluating an interactive learning tool. We introduce a visual approach to enlighten children and teachers. This is done by logging as they use the Virtual Savannah. We will not leave out traditional means like observing and usability testing, since we believe a holistic view is important and a single method of data collection is not enough to base any conclusions on. To understand our approach, a short introduction in various visualization topics is essential. We also discuss how multimedia can is used on a cognitive level to satisfy more pupils with different learning styles. Lastly we present our approach and results from an in situ evaluation on primary school children.
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Measuring a learning effect can be difficult task and is not made any easier with all the parameters that can be taken into account. This chapter will provide an insight on what to consider as interesting parameters, when evaluating an interactive learning tool. We introduce a visual approach to enlighten children and teachers. This is done by logging as they use the Virtual Savannah. We will not leave out traditional means like observing and usability testing, since we believe a holistic view is important and a single method of data collection is not enough to base any conclusions on. To understand our approach, a short introduction in various visualization topics is essential. We also discuss how multimedia can is used on a cognitive level to satisfy more pupils with different learning styles. Lastly we present our approach and results from an in situ evaluation on primary school children.
Original languageEnglish
Title of host publicationPackaging Digital Information for Enhanced Learning and Analysis : Data Visualization, Spatialization, Predictiveness, and Multidimensionality
EditorsShalin Hai-Jew
PublisherIGI global
Publication dateAug 2013
ISBN (Print)9781466644625, 1466644621
ISBN (Electronic)9781466644632
DOI
Publication statusPublished - Aug 2013
Publication categoryResearch
Peer-reviewedYes
SeriesAdvances in Educational Technologies and Instructional Design
ISSN2326-8905
ID: 72452215