Introduction of Computer-based Analytic Methods to Teacher Education Programs for Future Middle School Science Teachers

将基于计算机的分析方法引入未来中学科学教师的教师教育计划

• 批准号: 1003501
• 负责人: David Krauss
• 金额: $ 46.43万
• 依托单位: CUNY Borough of Manhattan Community College
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1003501&HistoricalAwards=false
• 关键词: Introduction; Computer; based; Analytic; Methods

The Borough of Manhattan Community College (BMCC) and the City College of New York (CCNY) are collaborating on the development of workshops on the scientific method and data analysis skills to supplement methods courses for pre-service science teachers. The project goals are to incorporate computer-based data analysis into junior level methods courses for middle and high school pre-service teachers, to better prepare secondary school students for the STEM workforce via teacher preparation, to enable pre-service teachers to introduce current scientific research and data analysis in secondary school classrooms, and to increase the number of minority students pursuing careers in science teaching.The project supports a two-day jump start workshop, modified weekly seminars, bi-weekly professional development workshops, and a two-week summer program to train pre-service teachers to access and use online scientific databases. Pre-service teachers are mentored by in-service teachers as they learn to develop research questions and hypotheses, which are tested using publicly available databases in biology, genetics, bioinformatics, geology, and engineering. Virtual experiments are conducted using the University of Colorado's Virtual Chemistry Laboratory. Pre-service teachers next engage in an internship and fieldwork as they assist secondary students with the design of Science Exit Projects which are required for graduation. The project evaluation examines teacher preparation and training, as well as the application of on-line database resources in the classroom setting by measuring attitudes, behavior, and activities of students and teachers. Outcomes will be disseminated via journal publications, conference presentations, and websites on each partnering institution's webpage. Additional outreach targets education faculty at the other community colleges in the CUNY system. This two-year project will reach 129 science teachers (pre-service and in-service). The workshops and courses supported by this project prepare teachers for more challenging upper level courses, enhance pedagogical skills, and better prepare secondary students to succeed in technology fields as they address real-world problems using workforce applications.

曼哈顿区社区学院和纽约城市学院正在合作举办科学方法和数据分析技能讲习班，以补充职前科学教师的方法课程。该项目的目标是将基于计算机的数据分析纳入初中和高中职前教师的初级方法课程，通过教师准备更好地为中学生培养STEM劳动力，使职前教师能够在中学课堂上介绍当前的科学研究和数据分析，该项目支持为期两天的启动研讨会，修改每周研讨会，双周专业发展研讨会，以及一个为期两周的暑期项目，培训职前教师访问和使用在线科学数据库。职前教师由在职教师指导，因为他们学会开发研究问题和假设，这是使用生物学，遗传学，生物信息学，地质学和工程公开可用的数据库进行测试。虚拟实验是使用科罗拉多大学的虚拟化学实验室进行的。职前教师接下来从事实习和实地考察，因为他们帮助中学生设计毕业所需的科学毕业项目。该项目的评估通过衡量学生和教师的态度、行为和活动，审查教师的准备和培训，以及在线数据库资源在课堂环境中的应用。成果将通过期刊出版物、会议介绍和每个伙伴机构网页上的网站传播。其他外联活动的目标是纽约市立大学系统其他社区学院的教育系。这个为期两年的项目将惠及129名科学教师（职前和在职）。该项目支持的研讨会和课程为教师准备更具挑战性的高级课程，提高教学技能，并更好地为中学生在技术领域取得成功做好准备，因为他们使用劳动力应用程序解决现实世界的问题。