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Autor/inn/enWagner, S.; Priemer, B.
TitelAssessing the Quality of Scientific Explanations with Networks
QuelleIn: International Journal of Science Education, 45 (2023) 8, S.636-660 (25 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Wagner, S.)
ORCID (Priemer, B.)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0950-0693
DOI10.1080/09500693.2023.2172326
SchlagwörterScientific Concepts; Networks; Concept Mapping; Mathematics; Expertise; Novices; Network Analysis; Instructional Improvement; Written Language
AbstractThis article introduces a network approach to describe the quality of written scientific explanations. Existing approaches evaluate explanations mainly on the level of sentences or as a whole but not on the elementary level of single terms. Moreover, evaluation of explanations is often based on highly inferential scoring techniques. We addressed both issues by converting the elementary structure of terms in explanations into networks (so-called element maps) and analysing these with mathematical measures, thus extracting the size and complexity of an explanation, adequacy, coherence, and use of key terms. A total of 65 explanations of experts and students were analysed quantitatively and qualitatively. Differences between expert and student maps' measures can be interpreted meaningfully against the background of existing research findings. Thus, we argue that our approach using network analysis provides a precise, fine-grained, and low-inferential tool that complements and refines existing approaches. Element maps have the potential to improve teaching and research by precisely revealing the strengths and weaknesses of explanations. (As Provided).
AnmerkungenRoutledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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