Understanding the Numbers: Quantitative Literacy for Experimental Rigor

理解数字：实验严谨性的定量素养

• 批准号: 10722653
• 负责人: Sara Elizabeth Gombash Lampe
• 金额: $ 8.94万
• 依托单位: OHIO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10722653
• 关键词: Active Learning; Address; Adult; Advisory Committees; Area; Attitude; Behavioral; Competence; Critiques; Data; Data Analyses; Data Reporting; Data Set; Decision Making; Development; Discipline; Doctor of Philosophy; Education; Educational Curriculum; Educational Materials; Educational Status; Educational process of instructing; Educational workshop; Evaluation; Experimental Designs; Failure; Foundations; Funding; Generations; Internships; Knowledge; Knowledge acquisition; Learning; Life; Literacy Programs; Logic; Mathematics; Mission; Molecular; National Institute of Neurological Disorders and Stroke; Neurosciences; Ohio; Performance; Postbaccalaureate; Process; Program Accessibility; Publications; Reading; Reporting; Research; Resources; Role; Science; Scientific Advances and Accomplishments; Solid; Statistical Methods; Students; Training; Training Programs; United States National Institutes of Health; Universities; Visual Literacy; Work; complex data; data literacy; design; education research; education resources; equity, diversity, and inclusion; experience; field study; high school; higher education; improved; innovation; interest; knowledge base; literacy; literate; mathematical ability; nervous system disorder; novel; pedagogical content; preservation; programs; scientific literacy; simulation; skills; statistics; student training; training opportunity; undergraduate student; wasting

PROJECT SUMMARY Quantitative literacy is an essential component of rigorous research. Quantitative literacy incorporates mathematical knowledge, statistics, reasoning, and data and visual literacies to assign meaning to numerical data. In scientific research, being quantitatively literate includes being proficient in contextualizing quantitative datasets and reading and reporting numerical data. Being quantitatively literate is critical to identifying and avoiding weakness in rigor. Our team will design engaging, clear content for the purposes of providing a foundational understanding what quantitative literacy is and its role in scientific rigor, developing strategies and practices in interpreting, analyzing and contextualizing numerical data analysis, and educating learners on best practices in reporting numerical data to promote scientific rigor. Our educational design invites novice, intermediate and advanced learners to review and interact with quantitative literacy concepts through five different learning units. Users have the option to progress through the units covering foundational principles of quantitative literacy, practices in contextualizing data, interpreting statistics, evaluating and utilizing illustrative reports and reporting quantitative data, or can acquire knowledge through independent activities, catering to individualize learning needs. Our expertise and practice in quantitative literacy as well as in building educational programs will be utilized to construct educational experiences that will ultimately improve scientific rigor.

项目摘要 定量素养是严格研究的重要组成部分。定量素养合并 数学知识，统计，推理以及数据和视觉文字，以分配含义为数值 数据。在科学研究中，定量识字包括精通上下文化定量 数据集以及读取和报告数值数据。定量识字对识别和 避免严格无力。我们的团队将设计引人入胜，清晰的内容，以提供 基本了解什么是定量素养及其在科学严谨，制定策略和 解释，分析和上下文化数值数据分析的实践，并教育学习者最佳 报告数值数据以促进科学严谨的实践。我们的教育设计邀请新手 中级和高级学习者通过五个来审查和与定量扫盲概念进行互动 不同的学习单元。用户可以选择通过涵盖的基本原则的单位进行进步 定量识字率，在情境化数据，解释统计数据，评估和利用说明性方面的实践 报告和报告定量数据，或者可以通过独立活动获取知识，以迎合 个性化的学习需求。我们的定量素养以及建立方面的专业知识和实践 教育计划将用于构建教育经验，以最终改善科学的教育经验 严格。