Collaborative Project: Participatory-based Approach on Teaching and Learning Biometric Security and Privacy

计算机科学（31）这个合作项目提高了本科教育和学生在生物识别安全和隐私领域的学习。该项目的具体目标是：（A）开发侧重于三个主题的课件模块：（i）生物统计技术，（ii）隐私，和（iii）保护隐私的生物统计安全技术;（B）探讨以同侪合作与竞争为基础的联结与集体智慧的概念，以促进主动学习，并通过它来确定条件下，课件材料是有效的，以创造一个积极的影响，本科生学习的生物识别安全和隐私。这个项目的一个独特的特点是，让学生积极贡献选定的案例研究和问题解决方案将被积累并纳入学习指南。积极参与内容材料的贡献在两个方面具有重要意义。首先，它允许课件捕捉集体智慧，反映了可用的生物识别安全和隐私期望的不同观点。第二，让学生参与贡献的过程，要求他们将知识和信息源连接起来，以实现连接智能。这个项目产生了三个成果：（A）关于生物特征安全和隐私的概念、原理和技术的学生学习指南;（B）生物特征数据和隐私保护生物特征数据检索软件;和（C）实验手册，帮助学生获得生物识别数据和技术，其应用程序及其隐私影响的实践经验。

Computer Science (31)This collaborative project improves undergraduate education and student learning in the area of biometric security and privacy. The specific objectives of this project are: (A) to develop courseware modules that focus on three topics: (i) biometric technologies, (ii) privacy, and (iii) techniques for privacy preserving biometric security; and (B) to explore the notion of connective and collective intelligence grounded on peer collaboration and competition for promoting active learning, and through which to identify the conditions under which the courseware materials are effective to create a positive impact on undergraduate learning in biometric security and privacy.A unique characteristic of this project is to engage students to actively contribute selected case studies and problem solutions to be accumulated and included in the learning guide. Engaging in the active contribution of content materials is significant in two regards. First, it allows the courseware to capture the collective intelligence that reflects diverse viewpoints on usable biometric security and privacy expectation. Second, engaging students in the process of contribution requires them to connect knowledge and information sources to achieve connective intelligence.This project produces three deliverables: (A) a student learning guide on the concepts, principles, and technologies on biometric security and privacy; (B) biometric data and privacy preserving biometric data retrieval software; and (C) lab manuals for experiments that help students gain hands-on experience on the biometric data and technologies, their applications, and their privacy implications.