Building Insights through Observation: Researching Arts-Based Methods for Teaching and Learning with Data

数据收集、基础设施和可视化方面的创新在现代社会中发挥着重要作用。大型、复杂的数据集可供公众访问并广泛共享。然而，学生需要学习如何解释和推理科学数据的可视化。该项目将使用NOAA的一个易于访问的工具，Science On a Sphere的可视化，帮助学生培养批判性思维技能和实践，以有效地从真实的科学数据中获得意义。该项目将使用基于艺术的方法来观察，分析和批评数据可视化的视觉特征，以建立对数据揭示内容的理解。该项目将与中学科学教师合作，为STEM教育工作者开发工具，以有效地使用这些数据可视化。这个项目的重点是视觉思维技能，已被发现适用于科学和艺术：描述，想知道，认识到不确定性，并与证据解释。该项目将进行基础研究，以了解科学教师如何成功应用基于艺术的教学方法和地理空间数据可视化。研究将审查：（1）STEM教师成功应用基于艺术的教学方法的方式;（2）学习和应用这些技术以影响教师的内容，教学和技术知识的过程中的关键因素;以及（3）这些方法对哪些可转移的数据素养技能最有希望。该项目将使用基于设计的研究框架，与中学教师合作开发数据素养教学方法。研究过程将包括有关教师发展和学生学习数据素养的数据。收集的数据包括教师和学生的定性和定量信息。发现研究preK-12计划（DRK-12）旨在通过研究和开发创新资源，模型和工具，显着提高preK-12学生和教师的科学，技术，工程和数学（STEM）的学习和教学。DRK-12项目中的项目建立在STEM教育的基础研究以及为拟议项目提供理论和经验依据的先前研究和开发工作的基础上。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Innovations in data collection, infrastructure, and visualization play an important role in modern society. Large, complex datasets are accessible to and shared widely with the public. However, students need to learn how to interpret and reason about visualizations of scientific data. This project will use visualizations from an easily accessible tool from NOAA, Science On a Sphere, to help students develop critical thinking skills and practices required to effectively make meaning from authentic scientific data. The project will use arts-based pedagogies for observing, analyzing, and critiquing visual features of data visualizations to build an understanding of what the data reveal. The project will work with middle school science teachers to develop tools for STEM educators to use these data visualizations effectively. This project focuses on visual thinking skills that have been found to apply in both science and art: describing, wondering, recognizing uncertainty, and interpreting with evidence. The project will conduct foundational research to understand the ways in which arts-based instructional methods and geospatial data visualization can be successfully applied by science teachers. The research will examine: (1) the ways in which arts-based instructional methods can be successfully applied by STEM teachers; (2) critical elements in the process of learning and applying these techniques to influence teachers’ content, pedagogical, and technological knowledge; and (3) for which transferable data literacy skills these approaches show most promise with children. This project will use a design-based research framework to develop data literacy teaching approaches in partnership with middle school teachers. The research process will include data about teachers’ development and students’ learning about data literacy. Data to be collected include qualitative and quantitative information from teachers and students.The Discovery Research preK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.