Quantifying Biology in the Classroom (The FIU Q'BIC Implementation Plan)

描述（由申请人提供）：佛罗里达国际大学（FIU）是一个城市，博士授予机构位于迈阿密，佛罗里达最大的人口中心。FIU，其目前的入学率超过70%的少数民族学生（URMS），有一个使命，其中包括“健康”作为一个主要的战略主题，并有既得利益，以确保其本科生提供最好的基础教育在生物科学。FIU是一个MARC U* 星星机构，它提交了一项提案，旨在实施一项创新和战略性的计划，以量化课堂上的生物学（Q 'BIC计划）。Q 'BIC是一个综合的锁步队列计划（一个块程序），短期内被提供作为定量生物学轨道，与长期的意图是我们的生物学课程的格式。在块中的课程已经确定和协调重叠协同作用的领域。由25名学生组成的小组一起参加这些课程，并在一个综合的概念框架内工作。 课程中的教学单元使用主动和合作学习技术和基于问题的学习概念。该计划集成了数学，统计学和计算，以便在生物实验室生成的数据用于教授统计概念和生物过程用于说明数学技术。因此，Q 'BIC的学者能够看到数学如何模拟生物过程。这种联系在可教单元中得到强调，并显示了如何产生合理的生物理论。Q 'BIC允许从解释实验和观察测量的角度教授数学和统计学，激励学生学习统计学，并教他们如何成为科学家。Q 'BIC分为两部分：第一部分从大一开始，一直持续到大二;第二部分涵盖大三和大四。该程序块具有同步性和顺序性。Q 'BIC在第1部分之后包括一个顶点夏季研讨会，专注于建模和仿真。第二部分提供量身定制的高级课程，并鼓励学者参加资助的研究项目。 Q 'BIC有一个完善的形成性和总结性评价和评估组件，有效和高效地衡量该计划的目标是否得到满足，最重要的是，衡量Q' BIC学者是否真正学习。Q 'BIC计划的总体目标是，完成该计划的学生将拥有在解决生物学问题的概念，分析和定量方法之间流畅移动所需的技能，最终增加进入并完成生物医学研究生课程的URMS数量。

DESCRIPTION (provided by applicant): Florida International University (FIU) is an urban, doctoral-granting institution located in Miami, Florida's largest population center. FIU, with its current enrollment of over 70% underrepresented minority students (URMS), has a mission which includes "Health" as a primary strategic theme, and has a vested interest in ensuring that its undergraduate students are provided with the best possible foundational education in the biological sciences. FIU, a MARC U*STAR institution, submits its proposal to implement an innovative and strategically developed plan to quantify biology in the classroom (the Q'BIC Plan). Q'BIC is an integrated lock-step cohort program (a Block Program) which for the short term is being offered as a Quantitative Biology Track, with long-term intentions of being the format for our biology curriculum. Courses in the block have identified and coordinated areas of overlapping synergy. Groups of 25 students take these courses together and work within an integrated, conceptual framework. Teaching units within courses use active and cooperative learning techniques and problem based-learning concepts. The program integrates mathematics, statistics and computing such that data generated in the biology labs are used to teach statistical concepts and biological processes are used to illustrate mathematical techniques. Thus, Q'BIC scholars are able to see how mathematics can model biological processes. This connection is emphasized in the teachable units and shows how sound biological theories are generated. Q'BIC allows the teaching of mathematics and statistics from the perspective of interpreting experimental and observational measurements, motivates students to learn statistics and teaches them how to be scientists. Q'BIC is organized in two parts: Part 1 begins in the freshman year and continues through the sophomore year; Part 2 covers the junior and senior years. This block program has synchrony and is sequential. Q'BIC includes a capstone summer workshop following Part 1, which concentrates on modeling and simulation. Part 2 offers tailored upper level courses and encourages scholars to participate in funded research programs. Q'BIC has a well-developed formative and summative evaluation and assessment component that effectively and efficiently measures whether the objectives of the program are being met and, most importantly, measures whether Q'BIC scholars are actually learning. The overall goal of the Q'BIC Plan is that students finishing the program will have the skills needed to move fluidly among conceptual, analytical and quantitative approaches to solving biological problems, ultimately increasing the number of URMS who enter and complete biomedical graduate programs.