NSF ATE CREATE Center Longitudinal Targeted Research Study

该项目名为NSF ATE CREATE（加州区域工程技术教育进步联盟）中心纵向目标研究，将有助于人们越来越多地了解两年制院校在为与工程技术相关的先进技术领域的技术人员提供学术和职业道路方面的作用，如信息技术、制造技术和可再生能源。通过开发和使用数据挖掘和数据分析工具和程序，研究小组将调查学生在12年内的教育和经济成就。该项目将以学术机构、国家级机构和产业界之间的伙伴关系为基础，开发并作为纵向数据挖掘和机构数据分析的模型，可在两年制院校复制。该项目将调查课程学习模式，特别是CREATE课程和课程材料，以发现课程学习模式与学生学业成功（例如，保留，证书和学位获得）和STEM劳动力成功（例如，工资增长和工资水平）之间的关系。这项探索性的描述性实证调查将记录、识别和匹配2002年至2014年的课程列表，与国家级K-16学生数据系统和就业发展部劳动力市场信息相匹配，以发现学生的学术和职业道路。为了调查课程学习对学生学业和职业成功的贡献，该项目将进行一系列描述性和回归分析，以确定课程学习模式与预期结果（例如，保留，证书和学位的获得以及工资增长和工资水平）之间的关系。

The project, NSF ATE CREATE (California Regional Consortium for Engineering Advances in Technological Education) Center Longitudinal Targeted Research Study, will contribute to a growing understanding of the role of two-year institutions in providing academic and career pathways for technicians in the advanced technological fields associated with engineering technology, such as information technology, manufacture technology, and renewable energy. Through the development and use of data mining and data analytic tools and procedures, the research team will investigate student educational and economic achievement over a twelve-year period of time. Building on partnerships among academic institutions, state-level agencies and industry, the project will develop and serve as a model for longitudinal data mining and analysis of institutional data that can be replicated at two-year institutions. The project will investigate patterns of course-taking, specifically CREATE courses and course materials, to discover relationships between patterns of course taking and student academic success (e.g., retention, certificate and degree attainment) and success in the STEM workforce (e.g., wage increases and wage levels).This exploratory descriptive empirical investigation will document, identify, and match a list of courses from 2002 to 2014 to the state-level K-16 system of student data and employment development department labor market information to discover student academic and career pathways. To investigate the contribution of course taking to student academic and career success, the project will conduct a series of descriptive and regression analyses to identify relationships between patterns of course taking and expected outcomes (e.g., retention, certificate and degree attainment and wage increases an wage levels).