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.

项目总结