usually framed as a problem ofrepresentation with solutions and interventions aimed at increasing the numbers ofunderrepresented groups. Historically, and in the present moment, the field of engineering hasnot been the most diverse in terms of race and gender. As of 2014, only 19.8% of all engineeringundergraduate students in the United States identified as female, down 0.7% from 2004 [1].Compared to this percentage, the University of Virginia’s engineering school had a 31% femaleundergraduate enrollment in 2017 [2]. Yet, nationally females represent greater than 50% of allcollege students. Recent efforts have initiated means to strengthen an atmosphere of inclusion,but there is more work to be done to bridge the identified gaps.Reasons for the
diverse teams lead to better conclusions for complex problems. Therehave been numerous studies, from a variety of contexts, which have studied this premise.Recently, an article described using a linearized maximally diverse grouping problemformulation to create diverse teams within University of Michigan’s Engineering GlobalLeadership Honors Program. Their results were implemented with minimal changes [1].Work in homogeneous teams (“Group of Same”) versus heterogeneous teams (“Group ofDifferent”) has shown that heterogeneous teams encounter more challenges as the diverseteammates learn how to work together; however, they often overcome their homogeneous teamcounterparts with better results [2, 3]. Extensive research by Ned Herrmann has evaluated
students understand diversity and inclusion within theirengineering programs, and how these understandings are shaped by aspects of the environmentin which they are situated.Our study is a component of a broader research project that is examining the seeminglyintractable problems of diversity and inclusion that emerge through the converging threads offormation of professional identity and culture of engineering disciplines. In this study we utilizeda qualitative analysis of interview data to explore the undergraduate students’ perceptions ofdiversity and inclusion within the School of Electrical and Computer Engineering (ECE) atPurdue University [1]. Our interview draws upon cultural dimensions of engineering disciplinesthat encourage student to
, educators and policy makers have expressed growing concerns over thelevels of math and science achievement among American students and the gradual decline in thenumbers of young people moving into science, technology, engineering, and math (STEM)careers [1], [2], [3]. These concerns have led to the development of new standards for scienceand technology education [4], [5], [6], policy initiatives aimed at promoting science andtechnology education [7], [8],[9], and to a growing body of research on math and sciencelearning and the pathways leading to STEM-related careers [10], [11]. While the picture oflooming shortages of scientists and engineers has been challenged and recent studies haveindicated that American students are taking more science and
race or gender, into account. Taken together, these documents constructthe department’s image of an ‘ideal engineer.’ Undergraduate students’ engineering identities have emerged as a prominent researchtopic among engineering educators. Identity—both in terms of social identities (i.e.,race/ethnicity, gender, etc.) and as engineers (i.e., viewing oneself as an engineering person)—has been found to play a role in undergraduate persistence [1], [2], retention [3], [4], [5], andeven teamwork [6], [7]. Recent research extends beyond assessing impact to understanding theconcept itself—for example, recent work has identified recognition and interest as key players inwhether or not a student will develop an engineering identity [8], [9], [10
) into theircurriculum. Although Wing describes CT as a problem-solving approach that utilizesfundamental computing concepts, which is applicable not only for scientists but everyone, mostof the computational thinking instructional approaches are related to computer programming.Unfortunately, it is also unclear whether people use CT when solving non-programmingproblems. This study aims to answer two research questions: (1) In what ways do students usecomputational thinking skills when solving non-programming problems if any?; and (2) Ifstudents use CT when solving non-programming problems, in what ways do their approachesdiffer from computer science students? We conducted a qualitative multiple within-site casestudy research with three units of
for- profit or nonprofit institution.Higher Education Tuition-Based On-Campus Enrollments are DownIn the Distance Education Learning Report, Allen and Seaman [1] report higher educationenrollments, overall, for academic years spanning 2012-2015, are down across public and privatefor-profit institutions, while enrollments are slightly higher in private non-profit institutions.Figure 1 below depicts this relationship. Figure 1 – Enrollments by Type of Institution [1]The Allen and Seaman data reflects nearly a one million student decrease of -931,317 in studentsstudying on campus. Figure 2 below depicts both the percent change from 2012 – 2015 as wellas the equivalent student population. Worth noting is that public
Education, 2018 Early Career Plans in Engineering: Insights from the Theory of Planned BehaviorIntroductionCalls to address labor market demands in engineering industry often cite the need to increaseengineering degree attainment at postsecondary institutions. However, prior research onengineering students’ career decision making indicates that degree attainment in engineeringdoes not guarantee students’ plans to pursue engineering careers after graduation [1]. While thereare numerous studies of engineering career decision making processes, most researchers studycareer decisions as students exit college or enter the workforce. In this paper, we suggestengineering students’ career plans are a set of evolving
interventionsin authentic settings [1-3]. The four key principles of DBIR are that: 1. The focus of the work is on persistent problems of practice from multiple stake-holders’ perspectives; 2. There is a commitment to iterative, collaborative design that is informed by implementation evidence; 3. There is a focus on developing theory and knowledge related to both classroom learning and implementation through systematic inquiry; and 4. There is a concern with developing capacity for sustaining change in systems.Overall, DBIR projects seek to advance and refine educational theories and toexplore the contextual constraints, moderating factors, and mediating variables thatconstrain or shape how the intervention is implemented
American Society for Engineering Education, 2018 Effective Teamwork Dynamics in a Unit Operations Laboratory Course1. IntroductionThe Chemical Engineering Unit Operations Laboratory is a unique course that relies heavily on acooperative team effort for successful learning that leads to a compelling laboratoryexperience[1-3]. In this course, team assignments play a critical role in the performance of agroup because every laboratory session involves peer interactions, hands-on experimentationfrom start to finish, data analysis and discussion, and a significant amount of writing time, i.e., aworkload that is intentionally more than one individual is expected to manage. The dauntingworkload for this course should
feedback from responses from the first workshop. This paperexamines the results of the two GRE workshops, and describes (1) the two workshops, (2) thesurvey used to evaluate the workshops, and (3) the results from the pre and post survey. Theresults indicated that 89% of participants agreed or strongly agreed that they were more preparedto take the GRE after attending the first workshop with an 11% increase in the level of awarenessabout the GRE from the pre and post survey. There were two major changes between the twoworkshops: (1) an increase in the advertisement to the students and (2) the Dean of GraduateSchool presented the opening information. The results from the second workshop indicated a22% increase in the level of awareness about the
particularintersections of identities. This study focuses on intersections of gender and URM status forengineering students, the analysis of which has historically been limited due to small samplesizes. The EMS is part of a multi-year National Science Foundation (NSF) funded researchinitiative (Epicenter1) with a goal to identify experiences and environments that encourageinnovation and entrepreneurship amongst engineering students over time. EMS is a longitudinaldataset of nationally representative engineering students2 who are surveyed at three time points:(1) as undergraduate students, (2) upon graduation, and (3) early years in the workforce. Thisanalysis is based on the first time point; juniors, seniors, and 5th year undergraduate engineeringstudents. The
students to assesstheir interests, motivations, and engagement in their capstone projects. By comparing studentresponses and evaluating the level of service that each project embodies, we can assess whetherstudents in differing projects show different motivations. Our results provide insights intomethods for maintaining student success in capstone projects and for selecting future projects.1. IntroductionCapstone design courses are a culminating experience for engineering students involving one ortwo semesters with a design and build sequence focusing on “real-world” applications. Theseexperiences prepare engineering students for future professional life and are critical junctures intheir engineering education. Recently, some capstone projects
after you’ve established “ABCD”. The second pedagogical method developed andimplemented was a game based off of “Paper Telephone” which is used during review days. Thegame emphasizes the connection between the free body diagram and the equations ofequilibrium and reinforces the idea that the “ABCD” components drive “E” or rather the FBDdrives the equations of equilibrium. The combination of these two devices helps show theimportance of the FBD in solving engineering problems.Method 1 “ABCs of FBDs”Statics text books are generally consistent in their descriptions of what should be included in freebody diagrams. (Excerpts included in the Appendix.) They routinely describe what should andshould not be included but do not do a satisfactory job of
cohorts provided visual insights into learners'research pathways from online to laboratory work. 1IntroductionThe pathways to STEM careers are diverse and varied. It is well known that early exposure toSTEM environments can inculcate and reinforce interests in technical fields at key decisionpoints when individuals choose career pathways [1]–[3]. Given the importance of a strong STEMtalent-base to global economic competitiveness and prosperity, there exists a need to cultivate apre-college landscape gives all students broad, authentic exposure to STEM fields earlier in theireducation [4]. In the framework of cognitive career theory, individuals choose careers based oninterests, attitudes, and values
, which hasbeen identified as often matching the preferred learning styles for many female students(Gollnick & Chinn, 2013). Another key program component is experiences of how engineeringis a field in which people can help others, a factor which has been identified as aligning withfemale interests and career aspirations (USDOC, 2011; Hubelbank 2007).The program research focuses on three areas: 1. The program’s impact on short-term interest andknowledge in engineering/STEM; 2. The effectiveness of matching lessons to learning goals; and3. Differences between sixth-grade students and eighth-grade students in success, interest inactivities, and problem solving methods. Through pre-program and post-program surveys,students answered Likert-scale
impact of thisprofessional development opportunity on teachers’ understanding of nanotechnology and STEM,as well as their commitment to inquiry-based teaching practices. In addition, we attempted toidentify the impact of the teachers’ integration of nanotechnology into their classrooms on theirstudents’ attitudes towards STEM fields (namely, science, mathematics, engineering andtechnology), students’ perceptions of their 21st Century Learning skills, and career interests. Weutilized both survey and observational data to address these objectives, as indicated in Table 1.We addressed each of the questions shown in Table 1 sequentially and in separate phases. In thefirst phase, we looked in-depth at survey responses from all teachers who
(CET)Department of Technology Systems approached the University’s main campus library with aninitiative to make 3D printing more accessible to the campus community. The partnership cameto fruition in the fall of 2014 when a ZPrinter® 310 Plus36, an entry-level, powder based300x450 dpi resolution 3D printer, was placed in a converted study room (see Figure 1), andlibrary personnel were trained on the system.7,30,31 The technology sat largely unused because ofthe ZPrinter’s high operating costs (approximately $4/cu in to print), but, a year later, the Libraryfelt providing greater access to 3D printing technology for the campus community would be avalue added service worth a small, additional investment. In July 2015, the library expanded its3D
ensuresstudents are given opportunities and encouragement to gain knowledge and confidence, learn andapply essential tools necessary in the scientific inquiry process, and receive peer supportdesigned to provide encouragement for pursuing graduate degrees in STEM.Overview/GoalsActivities in the IOU-NA were developed based on research on retaining and furthering NativeAmerican students in STEM majors, into graduate studies in science and engineering [1] [2].IOU-NA students gain research experience in labs in the College of Optical Sciences (OSC) andCollege of Science (COS); participate in Native American focused workshops facilitated byUniversity of Arizona’s Native American-serving entities; gain hands-on experience in CIAN’sOptics Research Workshop (ORW
developed to help promote student success in alow-cost, easily scaled and transferable manner. In short, the system is intended to identifystudent misconceptions with regard to basic concepts in electric circuit analysis, to help fosterimproved metacognitive skill and to provide the student with resources to address theirdifficulties. While it is expected that all students using the system will benefit, the focuspopulation for the system are at-risk students as identified through a validated electric circuitspre-test.IntroductionGateway courses such as electric circuit analysis often exhibit DFW rates in excess of 30%,making them “high-risk” as defined in [1]. While the reasons for such high attrition rates are nodoubt numerous, it is hypothesized
,technology, engineering, and math (STEM). The STEP program provides teacher trainingand curricula on Plug-in Electric Vehicles (PEVs), Smart Grid, and careers in science,engineering, and technology as it relates to the automotive and the supportinginfrastructure. The program has had an impact on over 1,500 students and teachers in therespective state since its inception. STEP’s curriculum is a STEM based program thatincludes problem-solving, critical thinking and inquiry-based learning with relevance toreal world issues. STEP includes a hands-on component, which includes a 1/10 scalemodel PEV as students learn about battery technologies, powertrain, chassis design andother related topics.The STEP competition gives students a relevant learning
in the Department of Chemical, Biochemical and Environmental Engineering at UMBC. His research primarily focuses on (1) investigating the occurrence, fate, trans- port, and toxicity of contaminants of emerging concern and (2) developing new technologies for resource recovery. At UMBC, he teaches courses in environmental chemistry, reaction kinetics, and chemical separations.Prof. Marie desJardins, University of Maryland, Baltimore County Dr. Marie desJardins is Associate Dean of Academic Affairs in the College of Engineering and Infor- mation Technology, and Professor in the Department of Computer Science and Electrical Engineering, at the University of Maryland, Baltimore County. Prior to joining the faculty in
Standards (Achieve, 2013) for K-12 schools in the US includeengineering as a disciplinary core idea for middle and high school students, defined asengineering design. The Navajo Nation may adopt Next Generation Science Standards in thefuture, making this study both timely and necessary to understanding how to teach engineeringdesign in a culturally relevant way.Current Progress: Initial Curriculum ModulesThe curriculum for the first in-school pilot is made up of four curriculum modules, describedbelow. 1. Introduction to Engineering Design. This lesson introduces engineering design with stories of Navajo engineers and scientists and the impact they have made in their fields. It then compares and contrasts the scientific method and
asthey relate to available retention and degree completion data. This analysis will provide theadministration and engineering technology education practitioners with information to aide inrecruitment and development of a learning environment well suited to the students.IntroductionLittle rigorous research has been done in engineering technology education.1 To some that is notrelevant, to others, particularly those teaching in this field it is significant. Practitioners see thispopulation underrepresented when compared to other fields in STEM.. As one reviews theliterature, this issue becomes more obvious as findings in engineering are used to supportpedagogy in engineering technology courses. Students become disengaged as many of thesestudents
Ways of Knowing” was a National Science Foundation (NSF) funded, Research onthe Formation of Engineering grant that concluded in Fall 2016 (Grant #: 1160350 and1541358). The broad purpose of this narrative research project was to explore the role of emotionas a core aspect of connected ways of knowing in engineering student learning and professionalformation. There were 21 participants in this project who were undergraduate engineeringstudents in a small engineering program at a large Research 1 university. The students werediverse in their engineering disciplines, years in the program, gender, and race/ethnicity. In thispaper, we will provide an introduction to the importance of studying emotions in engineeringstudent learning, an overview of
University, Erie, PA(8/12 - 8/14) Associate Professor, Engineering Tech. Department Com. College of Allegheny County, Pittsburgh, PA (8/10 - 8/12) Visiting Research Assistant Professor, Research on concrete structures retrofitting, Univer- sity of Pittsburgh, PA, USA (1/12 - 8/12) Part Time Professor, Research Assistant, Teaching Assistant, University of Ottawa, Canada (1/04 - 8/10) Part-Time Lecturer, University of Water and power technology, Tehran, Iran (8/99 - 8/01)Dr. Yves J. Anglade, Florida A&M University/Florida State University c American Society for Engineering Education, 2017 Case study of a Distance Learning Experience on Construction
; Hargroves 2010; Amadei 2014). Constructionist learning environments are thought to enablestudents opportunities to enact deeper understandings of the concepts (i.e., product design andenvironmental responsibility) than in instructionist-centric environments (Papert & Harel 1991;Kafai 2006). CooL:SLiCE provides a distributed constructionist cyberlearning platform designedby this multi-institutional research team to provide learning modules that allow investigations ofthe environmental impact of engineering designs.The CooL:SLiCE platform learning modules include 1) the Online Computer Aided Design (CAD)and Product Design Visualization Modules, 2) the Manufacturing Analysis Module, and 3) theSustainable Product Architecture and Supplier Selection
measurement data for each method. Theprimary goals are for students to be able to conduct both methods and to compare the results fora test case. Secondary goals are to investigate the sources of variation in the measurementprocess and to seek improvements to the measurement process.IntroductionGage capability studies are necessary for any organization to evaluate variation in theirmeasurement processes.1 They have been used to evaluate variation in the measurement processfor anything from linear dimensions taken by a micrometer to hardness of metals obtained byindentation after thermal processing2 to imbalance of rotating components.3 Gage capabilitystudies are often required by industrial customers during their quality audits of suppliers and
Robots onEmployment”1. The IFR projects that 1.9 to 3.5 million jobs related to robotics will be created inthe next eight years2. The rapid growth of robotics and automation, especially during the last fewyears, its current positive impact and future projections for impact on the United States economyare very promising. Even by conservative estimates1, the number of robots used in industry in theUnited States has almost doubled in recent years. From 2014 to 2016, robot installations areestimated to increase about 6% a year, resulting in an overall 3-year increase1 of 18%. Likewise,industrial robot manufacturers are reporting 18-25% growth in orders and revenue year on year.While some jobs will be displaced due to the increased rollout of robots