Developing Simulations with Noise to Investigate Students' Understanding and Views of Measurement Uncertainty in Experimental Physics

开发噪声模拟以调查学生对实验物理中测量不确定性的理解和看法

• 批准号: 2142356
• 负责人: Heather Lewandowski
• 金额: $ 59.99万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2142356&HistoricalAwards=false
• 关键词: Developing; Simulations; Noise; Investigate; Students

This project aims to serve the national interest by improving students' understanding of uncertainty in measurement, which is a key concept in the process of experimentation across science and engineering. Understanding measurement uncertainty is critical for evaluating experimental data and conclusions made from those data. Introductory physics lab classes are where many undergraduate STEM students are intended to learn about measurement uncertainty, but studies have shown that the learning goals around this topic are often not met. By creating computer simulations and associated course materials that are based on sound research practices, the investigators aim to improve students' learning about measurement uncertainty. The knowledge and skills will allow the students to reason better about, and make decisions with, data in their future studies and careers.To improve students' conceptual knowledge of and views about measurement uncertainty, the project team will develop and study the impact of the use of simulations (sims) with adjustable "noise." Specifically, they will add statistical (random) noise to a selection of Physics Education Technology (PhET) Interactive Simulations of common introductory lab experiments. In addition, to allow students to easily and intuitively collect and analyze data, the team will integrate the noise-enhanced PhET sims with the Common Online Data Analysis Platform (CODAP). The impact of the use of this new, integrated platform on students' understanding of measurement uncertainty and how students view measurements in experimental science will be studied in a clinical setting as well as in the classrooms of diverse partner institutions. Through this process, the project team will also develop strategies and associated curricular materials for implementing this new platform in lab courses. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.

该项目旨在通过提高学生对测量不确定性的理解来服务国家利益，测量不确定性是科学和工程实验过程中的关键概念。了解测量不确定度对于评估实验数据和从这些数据得出的结论至关重要。许多 STEM 本科生打算在入门物理实验室课程中学习测量不确定性，但研究表明，围绕该主题的学习目标往往无法实现。通过创建基于合理研究实践的计算机模拟和相关课程材料，研究人员旨在提高学生对测量不确定性的了解。这些知识和技能将使学生能够在未来的学习和职业中更好地推理数据并利用数据做出决策。为了提高学生对测量不确定性的概念知识和看法，项目团队将开发和研究测量不确定性的影响使用可调节“噪声”的模拟（sims）。具体来说，他们将在常见介绍性实验室实验的物理教育技术 (PhET) 交互式模拟中添加统计（随机）噪声。此外，为了让学生能够轻松直观地收集和分析数据，该团队将噪声增强型 PhET 模拟与通用在线数据分析平台 (CODAP) 集成。我们将在临床环境以及不同合作机构的课堂上研究使用这个新的集成平台对学生对测量不确定性的理解以及学生如何看待实验科学中的测量的影响。通过这个过程，项目团队还将制定策略和相关课程材料，以在实验室课程中实施这个新平台。 NSF IUSE：EHR 计划支持研究和开发项目，以提高所有学生 STEM 教育的有效性。通过参与学生学习轨道，该计划支持有前途的实践和工具的创建、探索和实施。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。