Collaborative Research: TUES: Vertical Integration of Concepts and Laboratory Experiences in Biometrics Across the Four Year Electrical and Computer Engineering Curriculum

该项目是罗文大学，巴克内尔大学和田纳西州立大学的合作努力，是垂直整合概念知识和实验室经验的生物识别整个课程。垂直整合是指在一个给定的主题领域，开始作为结构良好的实验在较低的水平，并继续在课程的较高水平越来越复杂，开放式的设计项目的一系列实验练习。 研究人员打算通过开发多年课程材料来创建一个全国性的模式，使不同班级的课程内容能够自然地相互联系。 该项目正在提供教育经验，培训未来的系统设计师准备处理各种生物识别方法（面部，语音，虹膜，签名和指纹）的复杂性，实施和性能评估。学生们也获得了更好的政策，道德和生物识别技术的社会影响问题的知识。 该小组通过在项目网站和Connexions网站（http：//cnx.org/）上张贴网页、通过技术和教育会议和期刊文章以及通过教师讲习班传播其材料和成果。 该项目包括与当地社区学院和K-12学校教师的外联活动。内部和外部评估人员都在使用调查前和调查后的数据以及实验组和比较组学生工作的评分结果，以监测项目目标的进展情况。 更广泛的影响包括广泛的传播，社区学院和K-12外展，以及对技术的社会方面的关注。

The project is a collaborative effort involving Rowan University, Bucknell University, and Tennessee State University that is vertically integrating conceptual knowledge and laboratory experiences in biometrics across the curriculum. Vertical integration refers to a series of laboratory exercises in a given topical area that start as well-structured experiments at the lower levels and proceed to increasingly complex, open-ended design projects at upper levels of the curriculum. The investigators intend to create a national model by developing multi-year curricular material that allows course content in separate classes to be naturally interconnected. The project is providing educational experiences that are training future system designers prepared to deal with the complexity, implementation, and performance evaluation of a variety of biometric methods (face, speech, iris, signature, and fingerprint). Students are also gaining a better knowledge of policy, ethical, and societal impact issues of biometrics. The team is disseminating their material and results through web postings on the project's websites and on the Connexions website (http://cnx.org/), through technical and educational conferences and journal articles, and through a faculty workshop. The project includes outreach to a local community college and to K-12 school teachers. Both internal and external evaluator are using pre- and post-survey data and the results of rubric-based scores on student work with experimental and comparison groups to monitor progress toward project goals. Broader impacts include the broad dissemination, the community college and K-12 outreach, and the focus on the social aspects of the technology.