negativity bias. While some of thesetopics may seem alien to teaching and studying engineering, they will be shown later inthe paper to have practical value. OverviewAbout the size of a small head of cauliflower, the human brain (Figure 1) weighs two tofour pounds or roughly three percent of the body’s weight. It is very soft, tan-gray on theoutside, has a surface resembling a walnut, and is yellow white on the inside. The braincontains 100 billion nerve cells, called neurons, which can receive and sendelectrochemical signals stimulated by neurotransmitters6. Figure 1. The human brain. (Source: pixabay)Various parts of the human brain: • Control body processes such as temperature, blood
“teacher-centered” instructional practices alreadyprevalent at the site. In the remainder of this paper we will 1) clarify how the analytic framework forlegitimate peripheral participation developed by Lave and Wenger informs theories of situatedcognition 2) describe the background, context and motivation for the larger research agenda motivating this work 3) explain the pressing need for the development of new assessmentinstruments and methods that are aligned with situated and participatory perspectives on learningthrough practice 4) explain how Lave and Wenger’s model of learning can also be used as ananalytic frameworks to develop such instruments 5) provide illustrative examples of the kinds ofdata that can be generated with the
. This is fine. This is fine.” tapping each converted unit with his marker.Figure 1. Bob checking off converted units. Clockwise from Bob: Nico, Pranav, and Steven. The group then started to calculate the numbers. The calculating was the work of Nicoand Steve, primarily. Bob stood awaiting the calculations, standing aside from the whiteboard soNico and Steve could see the equation. Nico and Steve reach different values. After checkinga This is the drag equation and not a formula for determining wind load. The group will soon see their mistake.with Bob, it was revealed that Nico neglected to square a number. Steve’s number, 9.2 lbs. offorce, was determined as the correct value given the equation on the board. The conclusion that
tool, seeFigure 2 (b). They will verify that their virtual arm resembles their actual arm in terms of theway it can move. If the virtual arm does not move the way their real one moves then they did notmeasure the D-H parameters correctly. In the camp the students were not able to grasp theprocess of measuring these parameters and relied on the student helpers. Software has since beenadded to the tool to support this actively. Once the parameters are measured correctly thestudents will enter them into the tool and verify their correctness. a b Figure 1: (a) the students build the arm, (b) the student measure the D-H parameter.Next the students will program their virtual
manufacturing production in the U.S. createsmore economic activity both within and outside the sector than does a similar increment in anyother major sector. Historically, manufacturing’s innovations and investment raised itsproductivity faster than other large sectors and its productivity has added substantially to overallU.S. productivity.” 1 Similarly, in an article published in Time Business and Money Magazine(2013), the authors report, “The new economics of Made in the USA are built in large partaround acquiring cutting-edge technologies ahead of global competitors and then using thosenew techniques to produce more efficiently on super-automated factory floors.”2 It is stronglybelieved that manufacturing will once again become a local industry as
perpetuity by the IEEE on the Engineering andTechnology History Technology Wiki (http://www.ethw.org).IntroductionIt is well known that women “are more likely than men to ‘leak’ out of the pipeline in thesciences”1. Women earn 20.2% of physics degrees, 43.9% of mathematics degrees, 17.7% ofcomputer science degrees, and 17.5% of engineering degrees1. To encourage femaleundergraduate students to graduate with STEM degrees, and thereby increase femaleparticipation in STEM fields, this paper describes an Oral History project that provided femalestudents with unique mentorship with distinguished leaders whose careers align with thestudents’ intended careers.The project provided unique mentorship to the students so that the students are motivated
difficulties for a program offering distance learning revolve around one basic theme, getting students into the courses. 1) Conveying the program quality to the public: Distance learning has carried a stigma of poor educational value from the days of correspondence courses to today’s diploma mills. While the allure of a watered down program to get a quick buck is tempting for even traditionally strong academic institutions, especially in more trying economic times, it is becoming evident that a tradition of quality and value will stand the test of time. Students may complain about the amount, and rigor of work required to obtain a quality degree but they clearly value its significance. Programs these days need to beable to convey to the
Indianapolis BS Physics 2015 - Purdue University BS Informatics 2010 - Indiana University Interest areas: Aerospace engineering, human space flight, space logisticsGuy Nicholas Wiss, SEDS c American Society for Engineering Education, 2016 Problem-based Multi-disciplinary Participation in Aerospace DesignAbstractThis work explores the knowledge development of a diverse team of undergraduate studentsinvolved in a university organization in pursuit of a RASC-AL engineering challenge by NASAto develop a 1-G deep space station. This habitat would need to be fully self-sufficient withinfive years of its initial launch and have a 20-30 year operational time span. The breadth ofconsiderations is well-suited for a
for supporting new media literacies practices in the elementary classroom and, most recently, drawing on queer and transgender theory for understanding the dominant discourses of engineering education and how those discourses marginalize and exclude people from traditionally vulnerable gender, sexual, and ethnic groups. c American Society for Engineering Education, 2016Working in the Weeds: How do Instructors Sort Engineering Students from Non-Engineering Students in a First Year Pre-Calculus Course?1. IntroductionThe calculus sequence is widely recognized by engineering students and faculty and byengineering education researchers as one of the course sequences that “weed out”students who are
. Students may understand howto solve certain kinds of problems, but not necessarily why it works or where it came from.1 Inrecent years, engineering programs have emphasized the significance of creativity but have notnecessarily reinforced risk-taking personality traits. It is not often until there is a desperate needfor new ideas that the push for creativity and divergent thinking is desired. A clear example ofthis is the “Sputnik Shock” of 1957. The Soviet Union’s immense success in the space racepushed the Western world to challenge what they knew and come up with new innovations. Thisneed for new technology was in such a high demand, the US National Defense Education Act of1958 that was created with the purpose of stimulating and supporting
develop self-efficacy beliefs in design, modeland scaffold engineering design mindsets, and apply design concepts in engineering design. Theresearch questions we intend to address include: 1. What is the influence of the toy design workshop on students' self-efficacy? 2. What is the influence of the toy design workshop on students' application of engineering design concepts during design?Theoretical frameworkSelf-efficacy in Engineering DesignEngineering design self-efficacy is the degree to which students believe they can excel at tasksrelated to design and making3. Social cognitive theory and previous research has suggested thatstudents’ self-efficacy beliefs are under the influence of mastery experiences
track, ● support networking of these and other members, ● development of a STEM pipeline of female STEM academics.SWE, like other professional societies, recognizes the significance of mentoring, relationships,and retention of like-minded engineers. In the case of this discussion, it has been recognized fordecades that female STEM faculty benefit from mentoring due to their unique position inacademia.1 Not only are there issues based on gender, but female STEM faculty are often part ofa non-traditional group, which may include older, minority, and disabled women. Due to thenature of this paper, we will consider these topics as appropriate, but will focus on retention ofwomen in academia, support from other professional societies, networking
Education. Vol. 103, no. 4, pp. 625 – 651.2. Amirianzadeh, M. et al. (2011). Role of student associations in leadership development of engineering students. 2nd World Conference on Psychology, Counselling and Guidance.3. Shelby, R. et. al. (2013). Implementation of leadership and service learning in a first-year engineering course enhances professional skills. International Journal of Engineering Education. Vol. 29, no. 1, pp. 1 – 4.4. Schulich Student Activities Fund Policy Revised 2013. University of Calgary.
what it means to them. The researchertries to maintain a participant perspective assuming the interviewees experiences andways of reasoning are logical, even if they do not appear as such at first.Phenomenographic analysis is an hermeneutical process.”42Dahlgren and Fallsberg’s43 eight-step model for data analysis was chosen for thisresearch project. The steps are 1) familiarization, 2) compilation, 3) condensation, 4)grouping, 5) comparison, 6) naming, 7) contrastive comparison, and 8) create a hierarchy.Based on this work, an outcome space was developed. The outcome space includes boththe referential aspects, which are the global meanings of each conception, as well as thestructural aspects, which are the features of each referential
Sensor, (ii) ADXL237 Accelerometer, (iii) GT0950RP3 Speaker and ADMP504Microphone. The students are able to master the following laboratory skills: (i) read resistor valuesby using resistor color code, (ii) build electrical and electronic circuits using breadboard, (iii) useinstruments, such as arbitrary waveform generator, scope, power supply, voltmeter, networkanalyzer, and (iv) obtain Bode Plots by using a network analyzer. Two examples from the EEPracticum are shown in Figures 1 and 2. To learn basic laboratory skills and the use of LEDs, thestudents built the waveform polarity indicator circuit shown in Figure 1. Figure 2 shows the Bodeplot obtained from the RLC circuit by using the Network Analyzer of the Analog Discovery Board.Bode Plots
who coordinate it, raising issues and highlightingcurrent practices in engineering capstone design education to guide further development in the field.1. IntroductionCapstone design courses provide a major design experience for engineering students, usually during theirfinal year of undergraduate study. Although these courses are common across engineering programs inthe U.S., they vary substantially in the way they are implemented. The first nationwide survey ofcapstone courses was conducted in 1994 in an effort to better understand current practices at the time.1This was followed in 2005 by another nationwide survey2 using many of the same questions to update thedata and also to capture trends over time; the 2005 survey repeated many of the
user.KeywordsEngineering Design Education, Design Methods, Empathetic Design, User CenteredDesign, Assistive Technology1. IntroductionEngineering is a continuously growing field with the advent of new technologies and increasingneed for products. The field of biomedical engineering, which encompasses multipleengineering disciplines, is growing at a faster rate than most other STEM disciplines, and thus itseducation is demanding greater attention 1. As most engineers in the biomedical field will gainemployment in a healthcare related field, it is important that they are able to empathize with theirtarget user – often handicapped and/or elderly individuals. This is further exacerbated by theincrease in the number of handicapped and elderly individuals in the United
appropriate techniques resources, and modern engineering tools to a range of engineering activities, from simple to complex, with an understanding of the associated limitations.” 4This paper will describe the activities related to the book project and discuss the design projectsrelated to our Mars theme for 2014. Examples of student deliverables and feedback are provided.2.0 Book Project ActivitiesStudents were given a Martian semester checklist (Fig. 1) at the start of a 13-week semester andasked to read 2 chapters per week (about 15 pages on average). The activities and deliverablesfor the book project were part of the communications skills that are expected to be covered inthis first year design and communications course. By creating a
programs.In order to achieve the survey goal, the sets of questions were developed toreveal the following: 1. The motivation of PhD students to set up their own business (from 0 to 100 points); 2. PhD student vision on the existing and possible barriers to set up their businesses; 3. Necessary knowledge to start entrepreneurial activities.150 PhD students participated in the survey prior and after attending the course‘Commercialization of Research: Foundations of Fundraising’. It demonstratedthe following statistics: 1. 36% of the survey participants with low level of interest in setting up their own business (0 to 60 points) did not change their mind after the course. 2. 41% of the survey participants had initial
meet the demand. And, the demand for those skills in ourinnovation economy is likely to grow according to the President’s Council of Advisors onScience and Technologyi. They speculate that the U.S. will need 1 million additional STEMprofessionals than we will produce over the next 6-10 years. How can higher education helpmeet this demand if there’s simply not enough supply? Does it all revolve around building theSTEM pipeline or are there other ways we can add to the supply? Universities have beengrappling with this issue for years. Not only is it difficult to find students with the rightbackground, it is difficult to find ways to get others who want to become students thebackground they need within a reasonable timeframe. This whitepaper
students in public universities is around 50%, while the graduation rates at private universities are around 69%1.This paper aims to broadly explore and discuss how student and professor expectations mayinfluence students’ conceptions of engineering identity, their acquisition of knowledge andskills, as well as their plans for navigation through the “engineering pipeline” by analyzing theinterview responses of two freshman engineering students and one engineering faculty member.MotivationsAs stated earlier, it is important to acknowledge that engineering identity is not necessarily asconcrete or fixed as research might suggest13,14,19. It is likely that each individual studentpossesses a different understanding of the engineering profession, as
- eration of context in engineering design, and understanding undergraduate engineering student pathways. She is a fellow of the American Association for the Advancement of Science (AAAS) and the ASEE. She was the recipient of the 2002 ASEE Chester F. Carlson Award for Innovation in Engineering Education and the 2009 UW David B. Thorud Leadership Award. Dr. Atman holds a Ph.D. in Engineering and Public Policy from Carnegie Mellon University. c American Society for Engineering Education, 2016 1 Tips and Tricks for Reflection Introduction Engineering educators are introduced to
. c American Society for Engineering Education, 2016 Work in Progress - Innovation through Propagation: Improving and Diversifying PathwaysIntroductionRound 1 of the Delphi study of the critical unsolved problems facing engineering educationresearch, described elsewhere1, included a question on barriers related to “improving anddiversifying the pipeline”. Several respondents pointed out that the pipeline metaphor has beenchallenged in the community for its rigidity and expressed a preference for the “pathways”metaphor, which suggests multiple routes instead of a single route. The pathways metaphor isconsistent with the literature.2,3For round 2 of the Delphi study, the prompt was changed to “pipeline and
application be a real structure beingdeveloped at a major Original Equipment Manufacturer (OEM). Teaming of ProfessionalEngineers from both the industrial and university partners helped to define and execute a large-scale, multi-material structural analysis of a rear end suspension under development by the OEM.Course Progression PhasesThe course development was initiated with the OEM providing jigs and production assemblies fordestructive testing, as well as the full assembly model with geometry, material properties andinterfaces defined (Figure 1). The university provided software, instruction, and actuation/datacollection systems for testing. Figure 1. OEM full assembly model of chassisThe students completed the multibody
want to go down a particular career path. The primary research questions for thepresent study are:1. What are the different ways students think about their future plans?2. What are the motivations that drive students to choose a particular path?3. Are there significant differences between how men and women think about their futures?The EMS survey was sent to engineering juniors and seniors at 27 schools in the spring of 2015;a total of 7,197 students participated. Included on the questionnaire was the open-ended question,“We have asked a number of questions about your future plans. If you would like to elaborate onwhat you are planning to do, in the next five years or beyond, please do so here”, which elicited1,848 responses. Responses
context. Therefore, amajor agenda item for Engineering Education Research is to investigate engineering learningmechanisms [1]. In order to conduct research on how people learn, it is prudent to set a foundation oflearning theory that is relevant to the research questions of any given study. More emphasis isbeing placed on learning theories within the constructivist paradigm, that the learner is not just apassive recipient of knowledge, but is constructing knowledge actively and in different ways [2-4].At present, there is no one comprehensive learning theory by which all disciplines may operate,because each theory has its own applications and limitations. The corollary of limitations oflearning theory is that there is no one research
Fridaysand our annual STEM challenge. We propose that a model similar to this could be successfullyand beneficially implemented more widely, with the goal of increasing both interest andretention in STEM fields.IntroductionThe goal of Bridges to STEM Careers is to increase retention rates and general interest in theSTEM programs offered by the university.1 The name itself refers to a bridge, reaching fromcommunity college, through university, all the way to a successful STEM career. The primarymethod of achieving this goal has been to forge mutually beneficial relationships among faculty,student mentors, and students. We believe that our goals are best effected on a personal levelrather than an institutional level, and that by focusing on
McCormick.Therefore, McCormick created a different advising model for FirstYear students. The decision was made to move from a prescriptive model to a developmental model. Structure The advising model, as envisioned by the McCormick Administration can be broken into two major components: People and Technology. Each major component is broken down into smaller components. Figure 1 describes how the new model would support students during their first year. Figure 1 Proposed Student Support Network for FirstYear Students The two strongest influencers of students during the first year
the community to re-evaluate how these womendefined success, how these women defined recognition, and therefore challenged the traditionalview of career success as scientists. Taking this approach to understanding Black women’sexperiences, our study is poised to push boundaries such as these in the discipline of engineering,filling the gap of understanding the definitions and importance of engineering role identity forBlack women in the engineering profession.The research questions for this study are: 1. How do Black women define engineering identity in the workplace? 2. How do Black women reconcile their definition of engineering identity with the stereotypical definition of engineering identity? 3. What coping
transcribed 17 of them. The rest of the interviews weretranscribed with the help of undergraduate researchers.The procedures for this study was approved by the local International Review Board (IRBProtocol #15196).ParticipantsThese 26 participants represented a range of academic levels, engineering disciplines, anddemographics (see Table 1). All of the participants’ information was self-reported. Participants’academic levels varied from first-year to fifth-year. Among traditional aged students, there werethree first-year students, six second-year students, six third-year students, six fourth-yearstudents, and two fifth-year students. In addition, there were three non-traditional students whowere older than 23 years of age: one second-year student and