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Video-based simulations in teacher education: the role of learner characteristics as capacities for positive learning experiences and high performance.

作者信息

Nickl Michael, Huber Sina A, Sommerhoff Daniel, Codreanu Elias, Ufer Stefan, Seidel Tina

机构信息

TUM School of Social Sciences and Technology, Technical University of Munich (TUM), Arcisstraße 21, 80333 Munich, Germany.

Mathematics Education, Leibniz Institute for Science and Mathematics Education (IPN), Kiel, Germany.

出版信息

Int J Educ Technol High Educ. 2022;19(1):45. doi: 10.1186/s41239-022-00351-9. Epub 2022 Sep 1.

DOI:10.1186/s41239-022-00351-9
PMID:36065455
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9433143/
Abstract

Assessing students on-the-fly is an important but challenging task for teachers. In initial teacher education, a call has been made to better prepare pre-service teachers for this complex task. Advances in technology allow this training to be done through authentic learning environments, such as video-based simulations. To understand the learning process in such simulations, it is necessary to determine how cognitive and motivational learner characteristics influence situative learning experiences, such as the perception of authenticity, cognitive load, and situational motivation, during the simulation and how they affect aspects of performance. In the present study,  = 150 pre-service teachers from German universities voluntarily participated in a validated online video-based simulation targeting on-the-fly student assessments. We identified three profiles of learner characteristics: one with above average knowledge, one with above average motivational-affective traits, and one with below average knowledge and motivational-affective traits. These profiles do not differ in the perception of the authenticity of the simulation. Furthermore, the results indicate that the profiled learners navigate differently through the simulation. The knowledgeable learners tended to outperform learners of the other two profiles by using more learning time for the assessment process, also resulting in higher judgment accuracy. The study highlights how learner characteristics and processes interact, which helps to better understand individual learning processes in simulations. Thus, the findings may be used as a basis for future simulation research with a focus on adaptive and individual support.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6752/9433143/d84f3642e4ac/41239_2022_351_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6752/9433143/e1674429f812/41239_2022_351_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6752/9433143/033aa0d6fa45/41239_2022_351_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6752/9433143/d84f3642e4ac/41239_2022_351_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6752/9433143/e1674429f812/41239_2022_351_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6752/9433143/033aa0d6fa45/41239_2022_351_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6752/9433143/d84f3642e4ac/41239_2022_351_Fig3_HTML.jpg

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Int J STEM Educ. 2017;4(1):27. doi: 10.1186/s40594-017-0087-y. Epub 2017 Nov 20.
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Development and Validation of Two Instruments Measuring Intrinsic, Extraneous, and Germane Cognitive Load.两种测量内在、无关和相关认知负荷的工具的开发与验证
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Comparing the Performance of Improved Classify-Analyze Approaches For Distal Outcomes in Latent Profile Analysis.
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Med Teach. 2011;33(1):1-3. doi: 10.3109/0142159X.2010.519412.
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The use of simulation for training teamwork skills in health care: how low can you go?利用模拟技术培养医疗保健中的团队合作技能:你能降低到什么程度?
Qual Saf Health Care. 2004 Oct;13 Suppl 1(Suppl 1):i51-6. doi: 10.1136/qhc.13.suppl_1.i51.
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Expectancy-Value Theory of Achievement Motivation.成就动机的期望-价值理论
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