, providing insight into the best practices from anindustry and/or collegiate perspective. For example, the University of Hartford’s Ward College ofTechnology and New Horizons described the importance of identifying industry-specific needs,developing an appropriate plan, establishing a mutual agreement, and assessing the model in orderto make continuous improvement to the partnership and project 1 . This process created a projectthat could make mutually beneficial progress. In another example, Gannon University’s graduateprogram incorporates the academic program with application-based training of key real-worldindustry problems 2 . In explaining their success, the authors describe communication as the key tosuccess, and an annual review meeting
380 concepts: convolution, decimation, FIR filters, bandpass filters, MatLab functions, etc? (77% responded yes). 3. Have you gained a better understanding of 340 concepts: building and debugging multistage amplifiers, BJTs, transistor biasing, etc? (34.6% responded yes). 4. Do you have better understanding of how complex embedded software can be organized and tested? (96% responded yes). 5. Did you have some fun along the way? (100% responded yes).This rough assessment is preliminary; in the future a more rigourous
and willingness to share theirthoughts in the survey and evaluation.7. ReferencesAnderson, L. W., & Krathwohl, D. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. New York: Longman.Audacity (2016) http://www.audacityteam.org/ .Bishop, J. and M. Verleger (2013) The Flipped Classroom: A Survey of the Research, ASEE Annual Conference, Paper ID #6219, June 23-26, 2013, accessed July 2016, http://www.studiesuccesho.nl/wp-content/uploads/2014/04/flipped-classroom- artikel.pdfBland, L. (2006) Apply flip/inverted classroom model in electrical engineering to establish life- long learning, in Proc. ASEE Annual. Conf., Chicago, IL
offerings may be of very highquality and benefit a small number of students, but transformation requires a multi-prongedecosystem approach. In the same vein, we did not attempt to determine the degree to whichlearning outcomes were achieved by individual students – although many of the teams haveembedded assessment in projects they undertook, especially where the project involved course orcurriculum development.All of the teams experienced at least some success in introducing new I&E offerings at theirinstitution, and none of the team leaders participating in the research felt that their project hadbeen unsuccessful. However, in order to shed some light on whether the factors that the researchteam had hypothesized might be associated with team
assess one’s biases in topicsranging from race to religion to gender. According to the project’s website, “the ImplicitAssociation Test (IAT) measures attitudes and beliefs that people may be unwilling or unable toreport” (“Project Implicit”). The gender-science one “often reveals a relative link between liberalarts and females and between science and males.” After taking the test, survey participants areasked for demographic information to help inform research.In a 2009 paper published in the Proceedings of the National Academy of Sciences of the USA(PNAS), researchers analyzed this data and found that “women who find it easier to associatemen with science (and women with liberal arts) report less liking for math and science domains,less
and documentationtransfer between teams.The results from the pre and post surveys and students’ self-rankings of their understanding werecompared to assess the effectiveness of the lecture in teaching lean fundamentals. The secondsurvey showing an average correct answer rate of 71% compared to 20.7% in the preliminarysurvey. Figure 3 shows each question topic and the improvement from the pre to the post survey. Figure 3: Comparison of Correct Responses between Pre and Post SurveyA second comparison made was between students’ ranking of their own understanding of leanmanufacturing before and after the lecture and can be seen in Figure 4. In the preliminarysurvey, 33% of student responses ranked their understanding at 1
assessment by instructorsand teaching assistants. Early career engineers who appeared more effective at making thetransition to work were able to build relationships, had the confidence to ask the right questionsof the right people at the right time, and took initiative to build a network across the companybeyond their immediate work group.An unexpected finding is that there were limited examples of interviewees talking aboutteamwork. Given the importance placed on learning from others, and the fact that early careerengineers are navigating the social structures of knowledge and expertise, perhaps they are notyet experiencing “teamwork” in the same way they did in university. As documented in theengineering education literature, many of the hands-on
and open-ended questions to explore participants’ communication confidence,understanding of STEM careers, and perceptions of the SciComm program (Supplemental A). Toassess participants’ confidence, we used the Self-Perceived Communication Competence Scale(SPCC) [8]. To assess communication skills, the two authors developed a series of threescenarios that asked for participants’ description for strategizing and communicating theirresearch to different audiences. Participants also indicated familiarity with STEM careers afterthe program and retrospectively before the program to explore changes in understanding. Finally,a series of open-ended questions were developed by the two authors to obtain feedback on theSciComm program. Focus group
differentlevels of cost and achieve different levels of infrastructure integrity (II) for redeveloping thelocal electric infrastructure. A conceptual framework has been developed, together with metricsand computational methods for assessing infrastructure integrity [1-4]. II is the ability of aninfrastructure system to exhibit reliability, flexibility, resilience, and adaptability. Although II isuseful for application to any infrastructure system, it is particularly applicable to electricsystems, and it provides a foundation on which to build in considering the future development ofelectric grids. For each vision, strengths and weaknesses, and in so doing, we intend to providestrong rationale regarding the best path forward for re-developing the local
specific challenges these studentsfaced and assess the impact of the program on these students with disabilities.MethodsThis study was a qualitative, interpretive study. Qualitative research is used to guide inunderstanding a situation [9]. In this case, the goal was to understand the experiences of threeundergraduate students with disabilities in a Research Experiences for Undergraduates (REU)summer program and to understand the impact of the program on these students. In addition tobeing qualitative, this research is specifically a case study. A case study is “employed to gain anin-depth understanding of the situation and meaning for those involved” [10]. A case study is alsodefined as a research study that is a single unit or bounded by
interdisciplinary collaborationduring the design phase of the construction process [23].The processes related to sustainable construction and building efficiency follows the overalldesign process, but in this case collaboration among team members is even more important andnot only during the early stage of the project, but during the whole project lifecycle. Beginningwith an outline, as a holistic system, the building design is then gradually detailed in designiterations with the multiple team members, and sustainability requirements, first defined athighly abstract level, become more specific. A sustainability benchmarking, that is, acomparative assessment of the sustainable definitions adopted, shall be made at the end of eachproject phase to refine the
, Digital Control Systems, Robot Dynamics and Control,Advanced Digital Signal Processing, Introduction to Mobile Robotics, Embedded Systems, andArtificial Intelligence.Additional courses were also proposed, in order to provide students with additional expertise thatis needed for AutoDrive; these include a one-credit introductory course for the competition andclasses in Sensors and Actuators and Computer Vision. A continuing assessment was alsoproposed, in order to determine what classes could be developed. Many other topics, such asmission planning, path planning, and diagnostics could be integrated into existing courses.Part of the process of recruiting and training undergraduate student team members involved theone-credit course mentioned above
identified the problem of ambiguity in promotion systems—ambiguityin what is valued, what counts, the timeline, how work should be documented, and the standardsby which quality is assessed. From interviews with STEM faculty who had received tenure ortheir first promotion, Banerjee and Pawley [5] found that women do not get enough informationabout policies and application requirements. In this “foggy climate,” they must develop theirown “fog lights” of formal and informal resources. While ambiguity is often cited as a problemwithin the assistant-to-associate promotion system, ambiguity seems especially pronounced forpromotion from associate to full [20]. In interviews with science and engineering academics at aresearch university, Fox and Colatrella
general may be less able to meet relatedness needs of women ascompared to men faculty, and the extreme gender imbalance in engineering departments likelyexacerbates this.Concluding RemarksThis study has added to the existing literature on the importance of developing belonging andmeeting relatedness needs for women at all levels in the engineering academe. The three basicneeds of self-determination theory (autonomy, competence, relatedness) were assessed inengineering, computer science, and physics faculty using a qualitative research design. Theworkplace experiences that have served to meet or frustrate autonomy and competence needs ofmen and women faculty seem comparable, but relatedness needs reveal an important genderdifference. On the whole
competencies is teaching biomimicry or bio-inspired designin an engineering curriculum.Our research addresses the gap in resources for effectively teaching engineering students how toperform bio-inspired design by creating instructional resources based on Concept-Knowledge(C-K) design theory. C-K theory is known for integrating multiple domains of information andfacilitating innovation through connection building. We used this theory to create lectures, in-class activities, assignments, rubrics and templates that scaffold the discovery and knowledgetransfer processes involved in using natural designs to inspire engineering solutions.To assess the learning impact of our C-K theory instructional resources, we conducted astatistical comparison of student
+ community viasurvey. For example, Woodford et al. (2012) conducted a quantitative study which sought todetermine predictors in heterosexual students about their attitudes toward the LGBT communityas a whole, as opposed to asking about certain sub-communities within the LGBTQIA+community. Works of this nature were most often quantitative, but can also be qualitative innature. For example, Evans & Harriott (2004) conducted an ethnographic study to explore howheterosexual students’ perceptions about the LGBTQ+ community changed when they wereexposed to the community. Work that followed this theme could also take the form of askingLGBTQIA+ students about the climate of their university to assess attitudes surrounding theLGBTQIA+ community. The
epistemic models matchthe situation.2 We call out this study as “quasi” autoethnographic as this work did not explicitly follow thetraditional approaches used by most autoethnographical studies. We detail our approach in themethods section.the original documents were designed for a different purpose3. It is also not a pre- and post-analysis of student performance – the student cohort performance was statistically-equivalent tothe prior year at a 98% pass rate (the course is assessed on a pass/no record basis).In the following section, we briefly describe the classroom intervention and data collection thatinvolved student focus groups. This description is then followed by a quasi-autoethnographicreflection and analysis of the focus group transcripts
underrepre- sented groups in engineering. Canek earned his PhDDr. Yvette E. Pearson P.E., Rice University Dr. Yvette E. Pearson holds a B.S. in Civil Engineering and M.S. in Chemistry from Southern University and a Ph.D. in Engineering and Applied Science from the University of New Orleans. She is Associate Dean for Accreditation and Assessment in the George R. Brown School of Engineering at Rice University, a Program Evaluator for the Engineering Accreditation Commission of ABET, a registered Professional Engineer in Louisiana, a former Program Director in the Division of Undergraduate Education at the National Science Foundation, and a Fellow of the American Society of Civil Engineers.Dr. Reginald Desroches, Rice
) toperform a SWOT analysis. The conclusion from the AHP analysis was that users preferredOnshape for simple mechanical modeling suggesting that its advantages lay in its browser-basedinterface which eliminated installation and licensing, and its ability to allow merge/branchversions of a design.Wu et al. [7] provide a survey of Cloud-Based software tools for design and analysis. Their goalwas to assess the extent to which both design and analysis capabilities could be executed usingthis new generation of systems and to review the key capabilities and benefits of availablepackages. In the area of design, the authors summarize features of AutoCAD 360, Fusion 360,Creo®/Windchill®, Teamcenter®/NX®/SolidEdge®, 3DExperience/Solidworks®/CATIA,Onshape and
a commongoal (a new way of being and relating requires imagining what non-hierarchical structures wouldlook like). The project of liberation is the project of daring to imagine.IntroductionTeaching takes place in a physical space with configured interactions of the instructor with thestudents. The traditional mode of education presupposes the instructor as an authority“depositing” knowledge into the “clean-slates” (students’ minds), who in turn regurgitate thatdeposited (memorized) knowledge in assessments. This is described as the banking concept ofeducation by Freire [1]. This model discourages creative engagement of the student with theworld and encourages uncritical acceptance of the oppressive power structures. This process
Research Experience (eCURe)program, designing “green” cosmetics by substituting toxic organic chemicals with naturalsubstances to improve efficacy and safety of these products. This was the first experience inwhich I was allowed to work on my own and assess which components of the formula could bemodified to improve the products. This experience was valuable because it taught me criticalthinking and troubleshooting, but most importantly, I gained the confidence to be less reliant onmy mentor and begin working independently. Through this experience I realized how much Ienjoyed research and it led me to apply to the NIH BUILD PODER Undergraduate researchprogram, a collaborative internship between PCC and California State University, Northridge. Iwas
, her research interests include engineering education, particularly as related to systems thinking, organizational cultures, professional identity development, and supporting the success and ideas of underrepresented students within engineering.Dr. Shanna R. Daly, University of Michigan Shanna Daly is an Assistant Professor in Mechanical Engineering at the University of Michigan. She has a B.E. in Chemical Engineering from the University of Dayton (2003) and a Ph.D. in Engineering Edu- cation from Purdue University (2008). Her research focuses on strategies for design innovations through divergent and convergent thinking as well as through deep needs and community assessments using design ethnography, and