various engineering majors and their roles within society 8. Inform students of opportunities for experiential learning related to their majors throughout the college of engineering and university communityThe course content includes the emphasis on The Human-Centered Design Process which ispracticed both individually and in teams. Students are then exposed to various maker-skills to helpthem create their human-centered prototypes. By the middle of the semester, the larger societal-based team open-ended project is revealed, and student teams are given six weeks to research,design, build, program, and document their functional prototypes. In the project student teams arerequired to both design and build a physical prototype that
multidisciplinaryapproach which draws on various concepts and knowledge base in an iterative process. The ‘Engineering Clinics’ atRowan University a design infused, multidisciplinary, eight-semester sequence of courses in the College ofEngineering. Inter/multi-disciplinary student teams engage in laboratory hands on activities focused on solving realworld problems related to automation, additive manufacturing, embedded systems, renewable energy, artificialintelligence and biomedical technology to name a few. The aim is to prepare the students for highly evolving,competitive marketplaces. It also serves as an excellent testbed for conceptualizing and iterating engineeringinnovation and research.This paper will discuss two projects where multidisciplinary groups of
AC 2011-1325: THE ENGINEERING ”PIPELINE” METAPHOR AND THECAREERS OF FEMALE DEANS OF ENGINEERINGPeggy Layne, Virginia Tech Peggy Layne, P.E., joined Virginia Tech in 2003 as director of the AdvanceVT program, a National Science Foundation sponsored program to increase the number and success of women faculty in science and engineering. Prior to accepting her current position, Ms. Layne worked as a diversity consultant for the American Association of Engineering Societies and as director of the program on diversity in the engineering workforce at the National Academy of Engineering. She also spent a year as an AAAS Science and Technology Policy Fellow in the office of Senator Bob Graham, where she was responsible
Missouri.Dr. Daniel K. Marble, Tarleton State University Daniel Marble earned a B.S. in electrical engineering from the University of Houston, with an M.S. and Ph.D. in accelerator-based nuclear physics from the University of North Texas. Marble began his academic career as an Assistant Professor of physics at the U.S. Military Academy in West Point in 1994. In 1998, he was hired to develop the first engineering program at Tarleton State University (engineering physics), where he presently serves as Head of the Department of Engineering and Physics. In addition to interests in ion solid interaction, physics of sports, accelerator technology, and materials characterization, Marble is actively involved in K-16 science and
AC 2012-5069: USING AUTOMOTIVE SAFETY IN A SERVICE-LEARNINGPROJECT FOR UNDERGRADUATE DYNAMICSDr. Charles Birdsong, California Polytechnic State University Charles Birdsong has expertise in automotive safety, vibrations, controls, signal processing, instrumen- tation, real-time control, active noise control, and dynamic system modeling. He received his B.S.M.E. at Cal Poly San Luis Obispo, and his M.S. and Ph.D. at Michigan State University, where he worked on active noise control applications for the automotive industry. He has worked in the vibration test and measurement industry helping to drive new technologies to market and working with industry to meet their emerging needs. He is currently an Associate
often gives difficulties. Acomprehensive review of short-term load forecasting methods and discussion on the use of AItechniques to improve forecast accuracy are the emphasis of the third module, so that the studentbecomes familiar with basic forecasting methods and gains an understanding of the economicimportance of accurate load forecasting. The final module includes two separate units: (a)elementary concepts of sparse matrix methods, and (b) use of sparse matrix methods to performtypical algebraic operations in the analysis of large-scale systems.3.1 Fuzzy logic for decision making and signal processing [7,8]Fuzzy logic is an emerging field that has been used and proposed for many industrialapplications. The deregulation of the electric
% Multi-institutional study 13 35% 10 48% Institutional Type 4-year institutions 31 66% 18 86% 2-year institutions 2 9% 1 5% Both 4-year and 2-year institutions 4 25% 2 9% STEM Fields Engineering 32 86% 17 81% Computer Science/Information 4 19% 5 14% Technology Funding Status Received funding from NSF 21
need to research and implement innovative interventions for retention andcareer readiness of underrepresented students in science, technology, engineering andmathematics (STEM) [1,2]. In 2017, a four-year curriculum was developed to elevate an existingsupport program for undergraduate women in STEM into an academic honors program. Thisrenewed Women In Science and Engineering (WISE) Honors program at Stony BrookUniversity (SBU), a public research institution, recruited its first new cohort in 2018. Thepurpose of this paper is to present formative findings of the research and evaluation plans thatexamined the effectiveness of one of the new courses, WSE 381: Service Learning in STEM.Theoretical FoundationHigh-impact practices, the educational
Paper ID #27288Engineering Futures: Updating a Successful Professional Development Pro-gram to Address New ChallengesDr. Katy Luchini-Colbry, Michigan State University Katy Luchini-Colbry is the Assistant Dean for Graduate Student Services at the College of Engineering at Michigan State University, where she completed degrees in political theory and computer science. A recipient of a NSF Graduate Research Fellowship, she earned Ph.D. and M.S.E. in computer science and engineering from the University of Michigan. She has published more than two dozen peer-reviewed works related to her interests in educational technology and
10 denoted in Segalas [13].Bibliography[1] "Resource Management," Center for Strategic and International Studies, [Online]. Available: http://csis.org/program/seven-revolutions/resource-management. [Accessed 19 October 2014].[2] "Consortium of Universities for Sustainable Power," [Online]. Available: http://cusp.umn.edu/. [Accessed 19 October 2014].[3] D. Krathwohl, "A Revision of Bloom's Taxonomy: An Overview," Theory Into Practive, vol. 41, no. 4, pp. 212-218, 2002.[4] M. Forehandv, "Bloom's Taxonomy: Original and Revised.. In M. Orey (Ed.), Emerging perspectives on learning, teaching, and technology.," 2005. [Online]. Available: http://epltt.coe.uga.edu/. [Accessed 19 October 2014
Paper ID #9986Examination of Integrated STEM Curricula as a Means Toward Quality K-12 Engineering Education (Research to Practice)Mr. Aran W Glancy, University of Minnesota, Twin Cities Aran W. Glancy is a Ph.D. Candidate in STEM Education with an emphasis in Mathematics Education at the University of Minnesota. He is a former high school mathematics and physics teacher, and he has experience both using and teaching a variety of educational technologies. His research interests include mathematical modeling, computational thinking, and STEM integration. Specifically, he is interested in the ways in which integrating
students is affected by culture clashes with theinstitution, due to gender, race, and socio-economic class, among other categories. Stage 2 - Societal forces and culture clashes produce problems for individuals. The in-school and broader American culture is such that girls likely grew up with less computer and technology access than boys, at home and in informal learning settings24. This is not their fault and their background is just as valid as the men in the class. But women were notably struggling in this class, though not all women were struggling, and not all struggling students were women. Still their womanhood must be playing a role in this traditionally masculine field, and putting
submitassessment responses online, enabling them to obtain earlier guidance for enrollment into themost suitable math course (or remediation steps to take). Purdue University’s MathematicsScience Inventory assessment relies on self-reporting to determine a student’s level of familiarityand confidence in various math topics. The tool has been shown to be effective in helping toplace students, as well as providing information to guide students toward academic supportresources11. At the New Jersey Institute of Technology, assessments to determine algebraproficiency have helped to optimize course placement12. By using the Math Inventory incombination with standardized test scores and high school class rank to place students, theUniversity of Pittsburgh
increase student belonginess and persistence to graduation[8]. Moreover, Holloway-Friesen suggests that mentoring activities in particular increase“Hispanic graduate students' sense of belonging and academic self-efficacy" [9]. In response tothe need of increasing Hispanic representation in STEM graduate degrees, Society of HispanicProfessional Engineers (SHPE) a non-profit dedicated to the advancement of the Hispanicpopulation in STEM, developed a mentorship program aimed at supporting Hispanic studentsuccess in applying for acceptance into graduate school in STEM fields. This paper will discussthe program’s objectives, share results from pilot cohorts, and give information on futuredirection and next steps for this program and others
students, as well as perspective WVU students and their families. Dr. Morris was selected as a Statler College Outstanding Teacher for 2012, the WVU Honors College John R. Williams Outstanding Teacher for 2012, and the 2012 Statler College Teacher of the Year.Mr. Joseph Dygert, West Virginia University Ph.D student in aerospace engineering at West Virginia University c American Society for Engineering Education, 2018An Integrated Supplemental Program to Enhance the First-Year ExperienceAbstractStudent retention in Science, Technology, Engineering, and Mathematics (STEM) disciplines,especially engineering, continues to be a challenge for higher education institutions. Engineeringretention has attracted
referred to these as “soft” skills. This characterization ismisleading though, implying that these abilities are secondary to or more easily developed than“hard” technical expertise. On the contrary, a great importance of these abilities to engineeringeducation has emerged over the last decade1 and ABET Engineering Criteria 2000 has targetedmany of these as essential program outcomes in order for engineering programs to be accredited.It is probably more appropriate to refer to these as contextual and process skills, the term used bythe National Advisory Council1, in its report “Engineering Education for a Changing World.”Co-chair of this council and former Martin Marietta CEO Norman Augustine coined the termSocioengineering2 that sought to
one’s environment and determine how to respond.Retention research overall has included studies using either SE theory or bioecology model. Inengineering and computing education research focusing on sources of SE, mastery experience ismore heavily weighted as a predictor of persistence [11], [18], [19], [20]. Studies focusing onstructure of the environment using either Bronfenbrenner’s ecology or bioecology models, favorstudent perception of their environment and how that might inform persistence, engagement orinterest with engineering or technology programs [21], [22], [23]. More recent work by Swan(2015; 2011), Neber [26], and Clark [27] have begun to combine complex theories together toincrease understanding of the student experience. Results
(e.g. white women, people of color, cisgender gaysand lesbians). These analyses are often made through liberal or systems-focused frameworks,largely ignoring the Gender, Romantic, and Sexual Minority (GRSM) community (See Gold,2019 [10]) for more information on the GRSM community; Be advised that ‘I’ refers to the firstauthor of this paper, and that I use ‘GRSM’ and ‘queer’ in place of LGBTQIA+. It is my beliefas a queer individual myself that these terms more accurately encompasses the diversity withinthe community to which it refers). According to a recent poll, nearly 5% of the United Statespopulation identifies as something other than cisgender or heterosexual, which corresponds toover 16 million Americans [11].Despite this statistic
strands providea rich, ongoing understanding of identity development at multiple levels including intrapersonally,interpersonally, and within a student context. For a more detailed description of this frameworksee [25], [27].ResultsOur results from this work include rich stories from 25 different students. While there are somecommon themes that have emerged from these stories, we have intentionally kept each student’sstory as a unique contribution to understanding individual pathways in engineering. Of the 25participants, three students left engineering (two students left in the timeframe of the first interviewand one left in the timeframe of the second interview). We have continued to interview thesestudents as they provide rich information on
groups (Groups 1 and 2) for Peer (F(3, 372) = 2.33, p < 0.001, η2 = 0.06) and Advisor(F(3, 372) = 5.29, p = 0.001, η2 = 0.04) interactions (Table 4). Although not identified asstressors, the qualitative data provided rich information on what aspects of such interpersonalinteractions were perceived as challenges and how they look different for domestic andinternational students. The emergent findings on how the engineering culture plays a role inthose interactions will also be provided. In the qualitative analysis results, students mentioned in their comments that theysometimes faced challenges in interacting and making connections with peers and advisors.Students specifically mention cultural differences and conflicts, for example
IEEE Communications Society Technical Committee on Transmission, Access and Optical Systems.Dr. Zhengdao Wang, Iowa State University Zhengdao Wang received his B.S. degree in Electronic Engineering and Information Science from the Uni- versity of Science and Technology of China (USTC), 1996, the M.Sc. degree in Electrical and Computer Engineering from the University of Virginia, 1999, and Ph.D. in Electrical and Computer Engineering from the University of Minnesota, 2002. He is now with the Department of Electrical and Computer En- gineering at the Iowa State University. His interests are in the areas of signal processing, communications, and information theory. He served as an associate editor for IEEE Transactions on
Central Arkansas, working as a grad- uate assistant on makerspace research and other STEM related projects.Dr. Louis S. Nadelson, University of Central Arkansas Louis S. Nadelson, PhD. holds a B.S in biological and physical sciences from Colorado State University, a B.A. with a concentration in mathematics and computer science from The Evergreen State College, a M.Ed. in education leadership and instructional technology from Western Washington University, and a Ph.D. in educational psychology – emphasis on research methods and measurement from UNLV. His scholarly interests include teaching and learning, leadership, preservice and inservice teacher professional development, program evaluation, multidisciplinary research
Education. Brill/Sense, 2021.[19] P. G. Liljedahl, "Mathematical discovery and affect: the effect of AHA! experiences on undergraduate mathematics students," International journal of mathematical education in science and technology, vol. 36, no. 2-3, pp. 219-234, 2005, doi: 10.1080/00207390412331316997.[20] J. J. Gross, "The Emerging Field of Emotion Regulation: An Integrative Review," Review of General Psychology, vol. 2, no. 3, pp. 271-299, 1998/09/01 1998, doi: 10.1037/1089- 2680.2.3.271.[21] N. Jausovec and K. Bakracevic, "What Can Heart Rate Tell Us About the Creative Process?," Creativity research journal, vol. 8, no. 1, pp. 11-24, 1995, doi: 10.1207/s15326934crj0801_2.[22] W. Shen et al
graduate programs.4 In STEM (Science, Technology, Engineering, andMathematics) fields, a recent focus on student experiences and identities has emerged as researchhas recognized that negative student experiences and limited opportunities to develop adisciplinary identity increase the likelihood of attrition.5 The purpose of this work is to explorehow EDS experiences and identities influence their perceived fit in graduate programs andinform their actions toward degree progress. Specifically, we set out to answer the followingresearch question: How do engineering doctoral students’ experiences influence their perceivedfit of salient identities and subsequent actions toward degree progress?Theoretical Framework To provide structure for
’ college pathways [10].Larger Context of the StudyThis study is located within a larger study to identify and understand the different systemicelements within Virginia high schools that can influence students’ post-secondary pathways,particularly toward engineering [11]. It is a multi-year mixed-method project that aims to informlarger efforts in broadening participation in engineering. The project utilizes a state-establishedlongitudinal student data system to explore the rates of students pursuing engineering from allhigh schools in Virginia [12] and qualitative interviews at selected high schools to obtain morecontextual information to make sense of the data [6]. Several of the systemic elements identifiedinclude teachers, school counselors
roadway images exhibiting cracking of varyingdirectionality and severities (92% accuracy) and railway images affected by horizontaloffset/lateral translation (80 % accuracy) [6], [7].At the onset of the project, the research team hoped to develop a robust set of DL algorithms thatwill be made publically available to enable rapid identification and tagging of a wide array ofbuilding/infrastructure damage in the immediate aftermath of an earthquake. This real-timeresponse could assist with emergency response and repair/recovery decision-making. There arealso many existing repositories of earthquake reconnaissance images with limited metadata ondamage that appear in the images, in the longer timeframe the DL algorithms could be used toadd this
foreign country with an engineering problem. The story introduces the type of engineeringbeing explored and the problem the students will eventually solve. Students are then asked toanalyze how the protagonist uses the engineering design process to solve the problem. Thescience section introduces students to use of scientific data to inform engineering design. Finally,the engineering section of each unit teaches the students about the engineering design processand asks them to construct a model out of found materials to solve the problem posed in thebook. In the Engineering is Elementary unit “Lerato Cooks Up a Plan” [4] students are given abasic model of a solar oven made from a shoebox and aluminum foil. After undertaking ascience investigation
,” “somewhat,” “hardly,” and “not.”The ethical issues can be described as macroethics in the sense that these problems demand thecollective actions of engineers and society, as opposed to microethics that typically involves onlyindividuals. Undeniably, the study of macroethics is significantly different from topics thatmight emerge in a more conventional engineering ethics course and requires new content andpedagogy. Where microethics problems can sometimes be handled methodically like anengineering design process, macroethics cases cannot always be unraveled as neatly. As arduousas macroethics cases may be, they underlie engineering work and consequently students shouldbe exposed to them.8It is anticipated that the information collected with this
yields data and curriculum insights that are unlikely to emerge from individualresponses to a survey questionnaire about curricula comparison. The comparison is to gauge ourcurriculum depth regarding: technical ability ability to transfer academic training to job requirements analytical problem solving skills Page 25.347.9 ability to compile information and directed research communications skills engineering design processFurthermore, it gives us a sense of the specificity to an employer problem. On the other hand, ifthe weakness observed by supervisors is explicit to our curriculum; the issue will be
earlier approach in which all five researchers scored each transcript. The initial approachallowed us to develop scoring rules and the more streamlined method described in this section.In Figure 1, after the student discussion is complete, a recording of the discussion is transcribedand sanitized of all identifying information (e.g. student names, revealing locations, etc.). Twofaculty raters are initially assigned to score the rubric and an arbitrator is assigned to mediate anypotential disputes on scoring where the raters cold not agree on a consensus score. To score thetranscript, each rater first re-familiarizes themselves with the scoring rules of the rubric thenannotates relevant passages in the transcript with flags corresponding to