"That's What Science Is, All This Data:" Coding Data Visualizations in Middle School Science Classrooms

"That's What Science Is, All This Data:" Coding Data Visualizations in Middle School Science Classrooms
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“这就是科学,所有这些数据:”在中学科学课堂上编码数据可视化

DOI:
10.1145/3478431.3499387
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发表时间:
2022
期刊:
SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1
影响因子:
--
通讯作者:
Roman, Natalie
Roman, Natalie
中科院分区:
--
文献类型:
--
作者:
Krakowski, Ari;Greenwald, Eric;Roman, Natalie

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在这份经验报告中,我们描述了“空气质量调查”课程单元,它将计算数据实践与中学科学课堂的科学学习相结合。该单元是编码科学实习教学模式的一部分,旨在通过可扩展的核心科学课程整合,以及克服公平参与STEM的障碍,扩大计算机科学(CS)学习的机会。在本报告中,我们描述了该单元的核心特征,并分享了学生在13个科学教室中的初步发现和见解。我们讨论了学生在正式科学课堂上学习计算数据实践的优势和挑战,并总结了对教学设计师的新建议。
In this experience report, we describe the Investigating Air Quality curriculum unit that integrates computational data practices with science learning in middle school science classrooms. The unit is part of the Coding Science Internship instructional model, designed to broaden access to computer science (CS) learning through scalable integration in core science courses, and through confronting barriers to equitable participation in STEM. In this report, we describe the core features of the unit and share preliminary findings and insights from student experiences in 13 science classrooms. We discuss affordances and challenges for student learning of computational data practices in formal science classrooms, and conclude with emerging recommendations for instructional designers.
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