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

该项目由罗文大学、巴克内尔大学和田纳西州立大学合作完成，垂直整合了生物识别学的概念知识和实验室经验。垂直整合是指在给定主题领域的一系列实验练习，从较低层次的结构良好的实验开始，到课程较高层次的日益复杂的开放式设计项目。研究人员打算通过开发多年课程材料，使不同班级的课程内容自然地相互联系，从而创建一个全国性的模式。该项目提供教育经验，培训未来的系统设计人员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、实现和性能评估。学生们也对生物识别技术的政策、伦理和社会影响问题有了更好的了解。该小组正在通过项目网站和Connexions网站（http://cnx.org/）上的网络帖子、技术和教育会议和期刊文章以及教员讲习班传播他们的材料和成果。该项目包括向当地社区大学和K-12学校教师提供服务。内部和外部评估人员都在使用调查前后的数据以及基于评分的学生作业结果，与实验组和比较组一起监测项目目标的进展情况。更广泛的影响包括广泛的传播，社区大学和K-12的推广，以及对技术社会方面的关注。

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 evaluators 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.