TY - JOUR
T1 - Science teachers’ and students’ metavisualization in scientific modeling
AU - Chang, Hsin Yi
N1 - Funding Information:
This study was supported by Ministry of Science and Technology, Taiwan, under Grants MOST108‐2628‐H‐003‐001‐MY3 and MOST102‐2628‐S‐011‐002‐MY3. It was also financially supported by the Institute for Research Excellence in Learning Sciences of National Taiwan Normal University (NTNU) from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan.
Publisher Copyright:
© 2021 The Authors. Science Education published by Wiley Periodicals LLC
PY - 2022/3
Y1 - 2022/3
N2 - 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.
AB - 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.
KW - metavisual competence
KW - metavisualization
KW - novice-expert study
KW - scientific modeling
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UR - https://www.mendeley.com/catalogue/d3c5a106-32c2-341d-9c43-45dc9512281d/
U2 - 10.1002/sce.21693
DO - 10.1002/sce.21693
M3 - Article
AN - SCOPUS:85119697122
SN - 0036-8326
VL - 106
SP - 448
EP - 475
JO - Science Education
JF - Science Education
IS - 2
ER -