Measuring Characteristics of Explanations with Element Maps

What are the structural characteristics of written scientific explanations that make them good? This is often difficult to measure. One approach to describing and analyzing structures is to employ network theory. With this research, we aim to describe the elementary structure of written explanations...

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Main Authors: Steffen Wagner, Karel Kok, Burkhard Priemer
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Education Sciences
Subjects:
Online Access:https://www.mdpi.com/2227-7102/10/2/36
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spelling doaj-697590f43c3a429992d9b414e47dc3342020-11-25T01:45:50ZengMDPI AGEducation Sciences2227-71022020-02-011023610.3390/educsci10020036educsci10020036Measuring Characteristics of Explanations with Element MapsSteffen Wagner0Karel Kok1Burkhard Priemer2Department of Physics, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, GermanyDepartment of Physics, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, GermanyDepartment of Physics, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, GermanyWhat are the structural characteristics of written scientific explanations that make them good? This is often difficult to measure. One approach to describing and analyzing structures is to employ network theory. With this research, we aim to describe the elementary structure of written explanations, their qualities, and the differences between those made by experts and students. We do this by converting written explanations into networks called element maps and measure their characteristics: size, the ratio of diameter to size, and betweenness centrality. Our results indicate that experts give longer explanations with more intertwinement, organized around a few central key elements. Students’ explanations vary widely in size, are less intertwined, and often lack a focus around key elements. We have successfully identified and quantified the characteristics that can be a starting point for guiding students towards generating expert-like written explanations.https://www.mdpi.com/2227-7102/10/2/36element mapsexpertiseexplanationsnetworksoptics phenomena
collection DOAJ
language English
format Article
sources DOAJ
author Steffen Wagner
Karel Kok
Burkhard Priemer
spellingShingle Steffen Wagner
Karel Kok
Burkhard Priemer
Measuring Characteristics of Explanations with Element Maps
Education Sciences
element maps
expertise
explanations
networks
optics phenomena
author_facet Steffen Wagner
Karel Kok
Burkhard Priemer
author_sort Steffen Wagner
title Measuring Characteristics of Explanations with Element Maps
title_short Measuring Characteristics of Explanations with Element Maps
title_full Measuring Characteristics of Explanations with Element Maps
title_fullStr Measuring Characteristics of Explanations with Element Maps
title_full_unstemmed Measuring Characteristics of Explanations with Element Maps
title_sort measuring characteristics of explanations with element maps
publisher MDPI AG
series Education Sciences
issn 2227-7102
publishDate 2020-02-01
description What are the structural characteristics of written scientific explanations that make them good? This is often difficult to measure. One approach to describing and analyzing structures is to employ network theory. With this research, we aim to describe the elementary structure of written explanations, their qualities, and the differences between those made by experts and students. We do this by converting written explanations into networks called element maps and measure their characteristics: size, the ratio of diameter to size, and betweenness centrality. Our results indicate that experts give longer explanations with more intertwinement, organized around a few central key elements. Students’ explanations vary widely in size, are less intertwined, and often lack a focus around key elements. We have successfully identified and quantified the characteristics that can be a starting point for guiding students towards generating expert-like written explanations.
topic element maps
expertise
explanations
networks
optics phenomena
url https://www.mdpi.com/2227-7102/10/2/36
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