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Science teachers’ and students’ metavisualization in scientific modeling

Bibliographic Data

ID21392641
AuthorsHsin-Yi Chang (0000-0002-9659-1022, Program of Learning Sciences and Institute for Research Excellence in Learning Sciences National Taiwan Normal University Taipei City Taiwan, corresponding author)
Year2022
Volume106
Issue2
Pages448-475
Publication date2022-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScience Education (JOURNAL)
Journal identifiersISSN: 0036-8326 • E-ISSN: 1098-237X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/sce.21693
OpenAlexW3216027239
LanguageEN
Citations received1
References cited52

This study investigated eight experienced science teachers’ and eight senior high school students’ metavisualization when they drew models to represent their concepts of carbon cycling. Qualitative data collection techniques including think‐aloud tasks and follow‐up retrospective interviews were employed. The purposes of the study included: (1) to propose a framework differentiating performance levels leading to metavisual competence; and (2) to identify students’ metavisualization difficulties by comparing experienced teachers’ and novice students’ performances. Four aspects of metavisualization were investigated, including use of epistemic knowledge of visualization, demonstration of metacognition in visualization, use of judgment criteria, and use of metavisual strategies. Levels of progression from none or less to sufficient metavisual competence were proposed based on the participants’ metavisualization performances. Three types of epistemic knowledge of visualization were identified, namely, a view of visualization as a learning or expression tool, a static view of representation and target, and a dynamic view between purposeful visualization and knowledge construction. Five types of metavisual strategies were also identified, namely, resourcing, focusing, inducting, deducing, and perfecting strategies. Comparison of the teachers’ and students’ metavisualization indicates that the experienced teachers demonstrated distinctive metacognition and metavisual strategies that helped them achieve the goal of fluent visualization. The findings provide insights into how to support individuals’ development of metavisual competence for scientific modeling

Cognition · Competence (human resources) · Human–computer interaction · Mathematics education · Metacognition · Pedagogy · Science education · Think aloud protocol · Usability · Visualization · Animal and Plant Science Education · Artificial Intelligence · Computer Science · Creativity in Education and Neuroscience · Psychology · Science Education and Pedagogy · Social Psychology

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Unique citing works1
Citations per year0,33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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