利用地下水污染学习经验培养社会科学素养的计算建模能力

IF 3.3 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Beth A. Covitt, Kristin L. Gunckel, Alan R. Berkowitz, W. Woessner, John Moore
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本文章由计算机程序翻译,如有差异,请以英文原文为准。

Employing a Groundwater Contamination Learning Experience to Build Proficiency in Computational Modeling for Socioscientific Literacy

Employing a Groundwater Contamination Learning Experience to Build Proficiency in Computational Modeling for Socioscientific Literacy
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来源期刊
Journal of Science Education and Technology
Journal of Science Education and Technology EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
9.40
自引率
4.50%
发文量
45
审稿时长
6-12 weeks
期刊介绍: Journal of Science Education and Technology is an interdisciplinary forum for the publication of original peer-reviewed, contributed and invited research articles of the highest quality that address the intersection of science education and technology with implications for improving and enhancing science education at all levels across the world. Topics covered can be categorized as disciplinary (biology, chemistry, physics, as well as some applications of computer science and engineering, including the processes of learning, teaching and teacher development), technological (hardware, software, deigned and situated environments involving applications characterized as with, through and in), and organizational (legislation, administration, implementation and teacher enhancement). Insofar as technology plays an ever-increasing role in our understanding and development of science disciplines, in the social relationships among people, information and institutions, the journal includes it as a component of science education. The journal provides a stimulating and informative variety of research papers that expand and deepen our theoretical understanding while providing practice and policy based implications in the anticipation that such high-quality work shared among a broad coalition of individuals and groups will facilitate future efforts.
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