2020
DOI: 10.3390/educsci10020036
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Measuring Characteristics of Explanations with Element Maps

Abstract: 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 o… Show more

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Cited by 3 publications
(1 citation statement)
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“…For example, Bruun et al (2019) applied semantic networks to analyse annotated speech as text to characterise the whole content of the discussion. This approach adopts the same techniques used in the network analysis of textbooks (Yun & Park, 2018) and students' written answers (Wagner et al, 2020). Similar, but distinct from semantic networks, are conceptual networks that study subject-specific concepts found in texts or utterances (Caballero et al 2020) or in concepts maps (Koponen & Nousiainen, 2019).…”
Section: Network Analysis In Science Education Researchmentioning
confidence: 99%
“…For example, Bruun et al (2019) applied semantic networks to analyse annotated speech as text to characterise the whole content of the discussion. This approach adopts the same techniques used in the network analysis of textbooks (Yun & Park, 2018) and students' written answers (Wagner et al, 2020). Similar, but distinct from semantic networks, are conceptual networks that study subject-specific concepts found in texts or utterances (Caballero et al 2020) or in concepts maps (Koponen & Nousiainen, 2019).…”
Section: Network Analysis In Science Education Researchmentioning
confidence: 99%