to 5-pt Likert Scale. Whiskers represent ±1 standard deviation.Table 1: College majors for program alumnae and controls for both high school (intended major)and college (actual major). Students were permitted multiple responses to reflect dual majors andinterdisciplinary areas of study. Choice of college major was compared between alumnae andcontrols using chi-square test for independence (df=1, N=627 for high school, N=324 forcollege). High School CollegeCollge Major Program Control p value Program Control p valuePhysics, Chemistry, Math 29.4% 30.8% 0.68 7.3% 8.3% 0.86Biology or Biosciences 80.8
normally covered in the standard senior design curriculum. The paperconcludes with a reflection on what constitutes “appropriate technology” and how developmentengineers need to consider the relative benefits of locally produced or locally assembled productsin maximizing societal impact.Project BackgroundA. Mali Sorghum ProjectThe ‘Mali Sorghum Project’ is a joint project between the University of St. Thomas (UST) and theInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT).5 A sorghum hybridwas developed by ICRISAT through a decade long participatory collaboration between subsistencefarmers in Mali and scientists from ICRISAT. The hybrid yields acceptable amounts of sorghumgrain, the primary product of traditional sorghum
® EV3 since it provides range information between the sensor and a detected object. Inthis lesson, we first introduced the characteristics of a sonar sensor, including sending out asound wave to detect objects, reflection of the wave from a nearby object to the sensor's receiver,and the calculation/estimation of the distance based on the speed of sound and the sound's one-way travel time. For students' mini-challenge, they were asked to program the robot totrack/follow a moving target based on the collected sonar data between the robot and the target.Students were very happy to see that their robots were able to follow a target moving in a straightline.Encoder - Translation and Rotation: We also introduced the encoder sensor and discussed
these categories is far above the university averages reflecting the factthat minorities and first-generation students are more prevalent among those from economicallyand educationally disadvantaged backgrounds.Table 1: 2013-2016 STARS student demographics Cohort I (2013-2014) Cohort II (2014-2015) Cohort III (2015-2016) UW WSU UW WSU UW WSUFirst Generation 80% 58% 80% 79% 45% 70%Underrepresented 47% 45% 44% 48% 31% 48%MinorityFemale 40% 18% 40% 14% 41% 19%Program DescriptionsThe STARS
strong in 2015 and therefore did not perform aswell as previous years.Data, such as those shown in Figure 1, help the faculty to observe trends in the understanding ofspecific subjects and topics during each year. These data allow for reflections on how studentsare performing on each class subject, as well as give the instructor of that subject specifics aboutwhat topics might be causing difficulty. It also allows for identification of questions that mightnot properly assess knowledge of a specific topic.Outcomes from the sophomore exam and FE exam can also be used in conjunction with oneanother. One question posed while observing results from the sophomore exam was whetherthese results projected to the eventual performance of students on the FE
. Figure 4: Capstone Final Design and PrototypeThe final individual requirement at the end of the course was a paper answering specificquestions reflecting on the students’ design experiences. Many students commented on the teamlead’s leadership abilities and credited her efforts to the success of the project. Some of thesecomments follow. Student 1: “This large team was a hard problem to overcome since I believe others felt the same as I did but I feel the project manager helped immensely at coordinating everyone. With her help I was able to know who I needed to contact should I come across another’s project. Most of my previous classes focused on presentation skills and “team work” but I feel that working with two or
engineering and investigating how engineering habits of mind can enhance pre-college students’ learning abilities.Cole H. Joslyn, Purdue University, West Lafayette Cole Joslyn is a PhD student in the School of Engineering Education at Purdue University. His research interests include holistic approaches to humanizing engineering education (such as ethics of care, human- istic education, contemplative and reflective practices, and spirituality) and how they can shape engineer- ing as a socially just profession in service to humanity. He holds a B.S. in Industrial Engineering and a M.Ed. specializing in mathematics education and has worked as an engineer, a pastor, and a high school math teacher.Miss Avneet Hira, Purdue
GulfIntroductionSeveral studies have been done on the kinds of qualifications, knowledge and skills that the 21stcentury engineer should have. To illustrate an example of such skills reflecting the needs ofindustry, Rajala [4] defines the areas of competence necessary for a global engineeringprofessional as global competence, technical competence and professional competence.However, she points out that the attributes which are associated with each of these competencespresent a challenge for engineering educators regarding both the context in which they should beintroduced, as well as “determining what can be accomplished within the constraints of auniversity education” [4]. From an educational stance, the Accreditation Board for Engineeringand Technology (ABET
note that the 11.1% of students thatsaid that they would “do nothing” in the pre-GSF survey dropped to 0% in the post-GSF results.There was also a 13.7% increase in students who would take the initiative themselves betweenthe pre- and post-GSF results (Fig 3B & 4B). In short, GSF seems to have boosted thewillingness of students to take action in their EE.ConclusionThe GSF has developed into a well-established model for uniting a diverse group of students forthe common cause of improving EE. With approximately one decade of GSF experience behindus it is a critical point in time for us to reflect on ways to further bolster our principal event. Inthe future we would like to develop more creative ways to preserve the strong sense ofmotivation
order to optimize the classification effort while attempting toinform us of feedback activity nature and level. For example, we recognize the importance ofneed analysis and the emphasis that experts place on this stage verses novices, and so theimportant coding classifications of problem identification, representation and communication areprominent in our model. Additionally, the verification classification is available at each stage, asthis reflects best design practice. Figure 1. A generalized engineering design process model with coding classifications Initiating Planning
engineering can have on human lives, as is the focus ofmany recruitment campaigns and messages within undergraduate engineering programs as partof diversity campaigns. Indeed, the fact that the National Science Foundation requires thegraduate students to meet the same Intellectual Merit and Broader Impacts criteria required bygrant awardees signifies commitment to requiring engineers, future academicians, andresearchers to carefully consider the merits and impacts of their work. This is potentially avaluable form of reflective practice (essential for developing expertise)35, and contributes to thedefinition of the essence of engineering and what it means to be an engineer, although facultydefinitions of engineering largely still differ from the
offers a venue for increasing awareness,demonstrating relevance, building confidence, and proving satisfaction for faculty audiences.Furthermore, the influence of peers can play an important role in promoting change in theattitudes of faculty audiences 19, 20, 21, 22. The competition acting as a medium for triggering acontagion effect, or social spillover effect, can lead faculty audiences to imitate the adoptionbehaviors of their peer group of participants.Finalist ProjectsResults from the 2013 competition have demonstrated the potential of the approach in promotinginnovation in engineering education 18. In 2014, there was a variety of projects reflecting thevision of contributing faculty members in relation to advancing education through
needs. Firstly,the benefit is for the community that is served by students, and secondly, students areencouraged to connect and reflect how their education connects to their professional career.Through this experience students feel better about their actions and understand the need andtherefore the impact engineers have on a community. This encourages them to learn more abouttheir chosen profession, and feel more confident about their achievements.Also, students have a chance to practice and apply what they learn in class in a real project wherethey are exposed to the results of their design. The positive side of the service learning is in theend, the students are giving back to the communities and society the knowledge they gained inthe
participate in anoutreach survey than those not. We could well have a disproportionate data set. But outreach certainly“feels” like a nearly pervasive activity among universities, and this magnitude of extrapolation is likelyto be generally valid.Three programs reported about 65,000 of the 147,000-plus student total, each with about 20,000participants. The median figure for student programs was 200. The spiky-ness of participation numberspoints up something fundamental about the nature of the field. Outreach is a highly varied undertaking.Different schools have different goals, capabilities, and opportunities. Programs come in all shapes andalso all sizes.The community member total does reflect one unusually large program total that might bear
students’ entrepreneurial intentions and entrepreneurial self-efficacy, it is not surprising that the Theory of Planned Behavior and Social Cognitive Theoryare commonly used. Although all of the papers in this review placed an emphasis on gender within theirstudies, there appeared to be little consensus regarding which theoretical frameworks to use thatpertain to gender. Three of the 24 papers (12.5%) used Eagly’s Social Role Theory33, whichdescribes how beliefs concerning the different sexes are reflective of the sexual division of laborand gender hierarchy within society. Other theories pertaining to gender that were used to framestudies included Gender Schema Theory34, Liberal Feminism Theory35, Gender Role Theory36,and Sex Role
is that the individual feels isolated and is able to identify potential sources of those feelings.• Mysterious Pathways: covers feelings of being stalled, stuck, or unable to move forward in a career. Originally classified as a result of not knowing the pathways to promotion or advancement, this category was expanded slightly to also reflect those career pathways that are stagnant or stalled for both men and women.• Diving Catch: refers to a tendency of some workplaces to put those who are risk averse at a disadvantage. In a diving catch work environment, the individual who feels less comfortable with risk feels more at a disadvantage with regard to advancement or performance because he or she is penalized by not
Understanding functions rank asthe strongest influencers on Head Mentors’ motivation for volunteering. The differencesbetween Values and the Understanding are statistically significant compared to each other, andare also statistically different when either function is compared to all of the others. Asinfluencers these are followed by Enhancement, Social, Career, and Protective, although theonly statistically significant difference among these four functions is between Enhancement andProtective. It is important to emphasize that the ANOVA results reflect trends in the relative impact ofthe functions on the average respondent: specifically, that the Values score for the averageDREAM Head Mentor was greater than their scores in the other functions
rather than a high performance by the students. Instead, the criteria for performanceat the Analysis level might more accurately be defined as demonstrating an understanding of thecompeting measures of success for the various project criteria and how to obtain, process, andanalyze the appropriate data associated with success in each category. If so, the performance ofthe students would occur, at best, around the Application level. It is more likely that other levelswould then be re-scaled to reflect average performance occurring around a mean of 2.5 (betweenComprehension and Application). Note the large coefficient of variation of 0.4. Such a largevalue suggests significant scatter about the mean. (Given the changing perspective of the
, year-longprocess of learning, reflection, and support by colleagues. Another important difference is that faculty learning community emphasized onrelationship development and community building among faculty. As noted by prior research onsocialization, successful relationships cultivated through organizational connections furtherembed and empower individuals to participate, identify, and engage more deeply with theirorganization (Kramer & Miller, 2014, see also Illiesa, Dimotakisc & Spitzmullera, 2013). FLCsdesigned specifically for new faculty, as in the case of this study, provide coaching andleadership opportunities for individuals who are already experiencing organizational change andtransition. It is therefore conceivable
members.Upon review several modifications to the website were communicated to the HR specialist, whoalso acted as liaison between any and all constituents. A major modification reflected howmedium-to-large institutions receive and process applications. Through various communicationand performance difficulties on the part of the webmaster required that, the HR specialistworked closely with the webmaster over the next18 months in order for a majority of therequested changes to be implemented. Unfortunately, these changes were not completed tospecification or functioning.To address these technical limitations and frustrations, a local technology group was hired toexamine and to correct the architecture and functioning of the website. After six months
. Thelab members all have experience conducting qualitative analysis. Members reviewed 25 samplesof student work on the DST, placing sticky notes on the tests where they noted a particular codeor saw something of interest. These initial ideas were turned into a coding scheme and applied tothe dataset, omitting codes that were not relevant to the research focus (e.g., design aesthetics) orthat were found to be redundant. This coding scheme was refined further at another research labmeeting; per recommendations for qualitative researchers, disagreements in coding werediscussed.66 The chemical engineers involved in the project reviewed the scheme and confirmedthat it was ecologically valid,67 meaning it authentically reflected their understanding of
innovative and productive workforce [1]. Recognizing thisneed, significant attention and resources have been allocated in the recent past towardsincreasing female and underrepresented minority student enrollment in STEM fields, includingengineering. These efforts have resulted in a more diverse undergraduate population in USinstitutions, but overall graduation rates still do not reflect a fully diverse student body. Forinstance, women and underrepresented minorities earned only around 19% and 13% of the 2012 1bachelor degrees in engineering, a small increase from previous years [2]. Additionally, thisincrease in diversity is not uniform across disciplines; traditional engineering disciplines havemuch
by incorporating real work: real-worldrelevant assignments, ill-defined problems, sustained investigation, collaboration, and reflection.The AR Drone lab targeted all of these real work elements with its inherent real-worldimportance in technology, ill-defined experimental process, sustained investigation of errorsources, and continuous collaboration and reflection between teams. Simultaneously, it promotedthe three categories within quantitative research through this real work scenario: actualexperimental design and setup, theoretical calculations of ground speed from distance and time,and descriptive analysis of a real-world scenario.Within the “real work” learning process, it is essential to account for how the Net Generationlearns.21 The
mechatronic system with microcontroller integrationConclusion and future planInspite of the changes made to both the curriculums, we still feel there is room to incorporatemore changes. Using rubrics for the project assessment helps the students and the instructor tofollow the same expectations for both laboratory portions of the courses. Implementing the samerubrics in two semesters gives students training in problem solving while working in teamenvironment. Goal of creating a common set of rubrics not only helps with outcome assessmentbut also encourages reflection in the curriculum to make positive enhancements. Inclusion ofethics discussion is important as students manipulate data and understanding the representation iscritical. As we continue
seemsbright; yet the rapid emergence of these offerings (and the position of many outside the requiredcurriculum) has outpaced our ability to assess potential learning outcomes for participatingstudents. This paper aims to contribute evidence regarding the engagement and cultural agility ofengineering students, providing data-driven insight and reflection in the process.Our research effort focuses on two specific working hypotheses: H1: Service-oriented international experiences attract engineering students with an intercultural mindset H2: Participation in service-oriented experiences will lead to elevated intercultural proficiency for engineering studentsThese research hypotheses will be tested in the following ways
project is supported in part by National Science Foundation award # 1229744. The HPCcluster is funded by NSF MRI project with award # 1332566. The evidence based teachingmethod is supported by Department of Education award # P120A140064. Opinions, findings,and conclusions or recommendations expressed in this material are those of the authors and donot necessarily reflect the views of the National Science Foundation and Department ofEducation.Bibliography[1] P. S. Pacheco, "An Introduction to Parallel Programming," Morgan Kaufman, ISBN: 978-0-12-374260-5.[2] D.A. Bader and R. Pennington, ``Cluster Computing: Applications,'' The International Journal of High Performance Computing, 15(2):181-185, May 2001.[3] Retrieved from http://www.top500.org
. Diffusion of research-based instructional strategies: the case of SCALE-UP. Int. J. STEM Educ. 1, (2014).11. Daly, S. R., Mosyjowski, E. a. & Seifert, C. M. Teaching creativity in engineering courses. J. Eng. Educ. 103, 417–449 (2014).12. Zappe, S., Mena, I. & Litzinger, T. Creativity is Not a Purple Dragon. Natl. Coll. Invent. Innov. Alliance (2013). at 13. Schön, D. A. The Reflective Practitioner: How Professionals Think in Action. (Basic Books, 1983). at 14. Dym, C. L., Agogino, A. M., Eris, O., Frey, D. D. & Leifer, L. J. Engineering Design Thinking, Teaching, and Learning. J. Eng. Educ. 94, 103–120 (2005).15. Wing, J. M. Viewpoint: Computational Thinking. Commun. ACM 49, 33–35 (2006).16. Rosen
author took several lab courses, followed theinstructions and was assigned good grades. He spent little to no time reflecting on each labafterwards, instead going on to focus on the next problem set, paper or upcoming exam. Whilethe labs were often designed to demonstrate theory that was introduced in lecture, there weremany situations in which important underlying assumptions were not mentioned. Now, as amathematics professor teaching courses with applications, such as differential equations, discretemathematics, and linear optimization, the author’s interest in applied topics has been rekindled.It is apparent that his learning in undergraduate lab courses and the supporting lecture courseswas not sufficiently deep and did not include the
losingcommunication with the RPS system.Beyond the level of accuracy provided, the system does face other limitations. Reflected lightand glare inhibit QR code detection when said glare occurs adjacent to the QR code itself.Detection is also inhibited when QR codes are not perpendicular to the camera. The system canhandle most skewing of QR codes less than 20°, however larger angles result in loss of detectionwhile moving and severe angles can prevent stationary QR codes from being detected at all.CostThe cost of the system for support of one course was approximately $6,000. This estimateincluded the 8020 aluminum structure, the cost of the LabVIEW and NI vision software, thecomputer, and the electronics of the system. The effective cost of the system for