gateway to a research position,sometimes within weeks of the lab visit.What is Modeling?The complexity of the human body requires that biomedical engineers use models to developtheir hypothesis. Many variables can only be estimated based on previously published data.While there are multiple definitions of a “model”, we use the Hestenes’ definition which statesthat a model is a “conceptual representation of the real thing” [2]. In essence, a model is amathematical equation which provides a description of how a system works. In the human body,that description can be quite complex. Models allow us to use simplifying assumptions tounderstand multifaceted physiological processes.Faculty introduce each model by asking questions about the system to
Products and Processes (by means of self-, peer-, instructor-, andoutside evaluators-assessment results, as well as final grades received by students). At the sametime we held indirectly evaluation through a survey with various groups of the community.Indirect assessments were conducted (since fall 2008) through the application of a survey madeon the premises in which we asked the level of importance for each of the thirteen programoutcomes and the level of perceived progress of the students regarding these outcomes. Thissurvey was scored on a Likert scale by assigning values of 1 to 5 (1 = least, 5 = most important).The same scale was used to rate progress (1 = least perceived progress, 5 = most perceivedprogress).This survey was conducted among
barrier, istheir ability to succeed.Stephanie Adams (Dean)I thought about this from an ability standpoint. On a lot of our majority campuses, there's thisnotion of ability and belonging. There's still a subset that thinks that women and people of colorcan't or aren't able to do math, and therefore they don't belong. Or when you see them in theclassroom, “Well what are you doing here? How'd you get here?” Now there becomes thisconversation about whether you should be there from a perspective based on those things. Thatalso holds people back. So, “I can have all the ability in the world, but you don't think I belong.”For example, an African American male graduate student entered one of our research buildingsthrough the back door, like everybody
that the issue for engineering education is more ofrecruitment than retention. Further, Godwin et al.32 advised that efforts to recruit women shouldnot solely focus on building physics, math, or engineering identities but should also emphasizetheir empowerment in changing their world through engineering.Insight 2: Women students rely on their family members for choosing their careers Many authors have highlighted the influence of high school teachers on students’ careerchoices and preparation for the choices29,30,26,33, it appears that women students also rely on theirparents and other family members for making the choices34.Insight 3: The K12 system must help women students to develop social capital and navigationalcapital The K
aprofessional engineer. It’s first fundamental canon to “Hold paramount the safety, health, andwelfare of the public” (NSPE, n. d.) informed their decision making when navigating anunethical directive or request. Rather than serving merely as a symbol of good engineering practice, the NSPE Code ofEthics and other written standards provide the raw material necessary for professional engineersto form an identity, often coming to life through application to case studies. Participants sharedmemories of case studies they had learned about early in their career that helped them determinehow they wanted to be perceived as a professional engineer. In reference to the ChallengerDisaster, which was among a few frequently-cited case studies, Zac shared
desired success; and developing mutual trustto jointly cross the mentorship cultural bridge in a transformational mentorship process.Holistically, the paper explores how mentorship empowers participants for further success and growth onboth professional and personal levels, inside and outside of higher education. An extensive discussion ofresearch evidence on the barriers minority students face in graduate school, challenges majority facultyface in cross-racial and gender mentorships, and suggestions on how to address the identified barriers,make this exploration applicable for any faculty or graduate students who desire to maximize theopportunities from relational mentorship. Topic Index: Cultural bridge, relational mentorship, menteeship
electrical engineering at Bucknell University. He is currently interested in engineering design education, engineering education policy, and the philosophy of engineering education.Dr. Michael S. Thompson, Bucknell University ”Stu” is an associate professor in the department of Electrical and Computer Engineering at Bucknell Uni- versity, in Lewisburg, PA. While his teaching responsibilities typically include digital design, computer- related electives, and senior design, his focus in the classroom is to ignite passion in his students for en- gineering and design through his own enthusiasm, open-ended student-selected projects, and connecting engineering to the world around them. He spends a great deal of time looking for
specifically point toa mathematics principle, law, or formula, and depict how it is used to carry out or understand anengineering concept, task or skill. Learning skills and new concepts requires a conceptual basisfor it to be impactful2. Furthermore, a lack of integration between one’s prior knowledge andnew curriculum materials is problematic given the education and cognitive science research thatemphasizes the importance of explicit integration of conceptual knowledge for successfultransfer of that knowledge to novel applications or new situations3 4 5.Project Lead the Way (PLTW) was chosen as the focal curriculum because of its widedissemination in the US (it has been adopted by over 17% of US high schools, and is present inall 50 states) and its
oftenrequiring interdisciplinary teamwork. Students need to negotiate a range of viewpoints, including avariety of specialties, and balance their unique contributions to form a coherent whole. Teamworkis a necessary skill for engineers with its significance recognized by ABET (Accreditation Boardfor Engineering and Technology): Criterion 3, Student Outcome 5 - “Students should be able tofunction effectively as members of a technical team, and as leaders on technical teams”.Teamwork is often the key to solving the complex problems engineers face. One goal of higher education is to prepare students for their professional lives. Teamworkis imperative to solve “real-world” problems [3]. Teamwork is a highly important skill forengineers to have
guidance for understanding and improving the design ofmakerspaces and similar learning environments.1. INTRODUCTIONEach year students arrive at the steps of engineering colleges eager to become engineers.University makerspaces have emerged as a space where engineering students appear increasinglydrawn. An academic makerspace is part workshop, part classroom, and part community ofpractice. It is a place where real-world challenges are married with hands-on approaches; wherestudents are encouraged to prototype and realize ideas; where design meets manufacturing; andwhere a student’s mind, hands, and heart can be integrally intertwined. Learning in makerspacesis different than learning in typical engineering labs or classrooms not merely because of
]. Avariety of researchers have found that small group learning environments benefit girls [28], [48],[52] – [57]. Hands-on activities that emphasize applications of knowledge in real-world contextscan meet girls’ desire to know how their learning can be applied [55], [58], [59].Despite a number of beneficial outcomes associated with small group learning strategies, well-documented problems with small group learning also exist. The social dynamics andorganization of small groups can interfere with learning [60]. It is often assumed that placingstudents in small groups will result in their learning of collaborative skills and teamwork [61],but there is little research that supports this assumption [62]. Girls and boys working in mixedgender small
multivariable control. Dr. Rodriguez has given over 70 invited presentations - 13 plenary - at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment (FAME); design and control of micro-air vehicles (MAVs), control
thatemulated the CPU Usage History graph on a computer. The objective of this representation was“to provide an accurate representation of the data in real-time.” These timelines were createdusing a custom Java program that manipulated the data so that design activities receiving theprimary focus at any given time were drawn at the top of the graph while other, shorter durationand overlapping activities appeared as peaks reaching up from the bottom. For example, note theteal/green colored line for Modeling that appears across most of the top of the graph in Figure 11(since Modeling was Senior B’s dominant activity), while other activities spiked up below it,occasionally pulling the Modeling line down as they competed for precedence. Tim wrote that
learning. This cycle is also the foundation on which learning statements are based,which we explore in Section 3. Additionally, Balmer builds on the work of Mistree et al. [3]whose work on project-based design education includes open design projects that are composedof a technical problem and problem context, which together are used to create an authentic, real-world experience. In agreement with the work of Dym et al. [2], we assert that preparingengineers for existing challenges faced by professional working engineers necessarily requiresexposure to open problems that force students to confront unknown variables, non-prioritizedrequirements, and situational context. Furthermore, we leverage the work of ABET [5], Eggert[6], Lahidji [7], and