The Effects of Education and Professional Development on Beginning STEM Teacher Persistence: a Longitudinal Study

教师的离职是一个重大的公共政策问题。特别是科学、技术、工程和数学（STEM）教师，即使他们在成为优秀教师方面取得进展，也会离开这个行业。该项目将确定教师流失的原因和支持新教师并有助于坚持这一职业的做法。该项目将分析NCES最新发布的具有全国代表性的大规模纵向调查——初任教师纵向研究（BTLS）的数据。该数据库跟踪调查了全国范围内初任公立学校教师的前五年教学情况。该项目将重点关注样本中的388名STEM教师。本项目的三个研究问题集中在职前教师教育和在职专业发展对教师入职前5年工作坚持和工作转变的影响：1)STEM学校初任教师入职后前5年的工作坚持和工作转变水平如何；2)初入STEM学校的教师接受的保留教育和准备的类型和数量是什么？这些对他们的工作持久性和过渡有什么影响？3) STEM学校教师在前5年接受的在职培训和专业发展的类型和数量是什么？这些对他们的工作持久性和过渡有什么影响？该项目将使用事件历史分析和其他先进的统计方法。

The attrition of teachers from teaching is a major public policy issue. Science, Technology, Engineering and Mathematics (STEM) teachers, in particular, leave the profession even when they are making progress toward becoming excellent teachers. The project will identify both causes of teacher attrition and practices that support new teachers and contribute to persistence in the profession. The project will analyze data from the newly released nationally representative large-scale, longitudinal survey - The Beginning Teacher Longitudinal Study(BTLS) - conducted by NCES. This data base follows a national cohort of beginning public school teachers through their first five years of teaching. The project will focus on the 388 STEM teachers in the sample. The project's three research questions focus on the impact of preservice teacher education and inservice professional development on the job persistence and job transitions of teachers through their first five years of teaching: 1) What are the levels of job persistence and job transition among beginning STEM school teachers over their first 5 years after entering teaching; 2) What are the types and amounts of preserve education and preparation that beginning STEM school teachers receive and what impact do these have on their job persistence and transitions? 3) What are the types and amounts of inservice induction and professional development that beginning STEM school teachers receive in their first 5 years and what impact do these have on their job persistence and transitions? The project will use Event History Analysis and other advanced statistical methods.