Computer Based Teaching in Epidemiology and Statistics

流行病学和统计学计算机化教学

• 批准号: 9981001
• 负责人: Erika Friedmann
• 金额: $ 10万
• 依托单位: CUNY Brooklyn College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-06-01 至 2003-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9981001&HistoricalAwards=false
• 关键词: Computer; Based; Teaching; Epidemiology; Statistics

Interdisciplinary (99)A hands-on technology-based approach to teaching epidemiology and statistics to undergraduates is made possible by the use of large national data sets, research data bases, the Internet, and appropriate software packages. Successful efforts from other institutions in the teaching of statistics using large, real-world data sets have been applied to a variety of disciplines and have been published in a variety of journals on statistical education. These approaches are being adapted and applied to the teaching of epidemiology. An update of the curricula and facilities enhances our largely minority students' learning and computer skills and contributes to the achievement of their goals and potential. Student interaction with meaningful, real data helps develop the facility to understand and interpret quantitative data. Real health data is obtained and analyzed using the Internet/World Wide Web and PC-based statistical software. Collaborative and active learning are integral components of the approach used in teaching. These strategies promote greater quantitative reasoning and problem-solving skills, information retention, and the development of computer skills essential for minority graduates to be competitive in the job market. The goals of the project are 1) to develop faculty computer skills necessary to teach the new statistics and epidemiology courses; 2) to integrate computer technology into the statistics and epidemiology curricula; 3) to construct a computer laboratory for undergraduate instruction in the newly developed courses; 4) to evaluate the impact of the new curriculum and disseminate the project findings. DUE themes of integrating technology into undergraduate education, faculty development, and diversity are key components of this project.

跨学科(99)通过使用大型国家数据集、研究数据库、互联网和适当的软件包，使以实践技术为基础的方法向本科生教授流行病学和统计学成为可能。其他机构在使用大型真实世界数据集进行统计教学方面所做的成功努力已应用于各种学科，并已在各种统计教育期刊上发表。这些方法正在被调整并应用于流行病学教学。课程和设施的更新提高了我们主要是少数族裔学生的学习和计算机技能，并有助于实现他们的目标和潜力。学生与有意义的真实数据的互动有助于发展理解和解释量化数据的工具。使用互联网/万维网和基于PC的统计软件获得和分析真实的健康数据。协作学习和主动学习是教学方法中不可或缺的组成部分。这些战略促进了更多的定量推理和解决问题的技能、信息保留和计算机技能的发展，这些技能对于少数族裔毕业生在就业市场上具有竞争力是必不可少的。该项目的目标是1)培养教师教授新的统计学和流行病学课程所需的计算机技能；2)将计算机技术融入统计学和流行病学课程；3)建立一个计算机实验室，用于在新开发的课程中进行本科生教学；4)评估新课程的影响并传播项目结果。将技术融入本科教育、教师发展和多样性是该项目的关键组成部分。