research and evaluation of programs to improve human services, as well as developing evaluation methods that can be embedded within programs. Dr. Giancola’s current work focuses on developing methodological processes to embed evaluation into human services programs, such that program development can be driven by reliable and valid information and impact findings can be properly interpreted. Much of her work employs theory-based methods, not to replace rigorous research designs, but rather to supplement, in order to better understand implementation and effectiveness. c American Society for Engineering Education, 2019 ADVANCE Women’s Leadership at the University of Delaware
content understanding and attitudesEducators and policy makers have called for engineering education to be incorporated even intothe elementary grades1, but young students also need access to engaging, high-quality instructionin science. In our research, we have explored the use of engineering activity within primary-levelscience instruction. Specifically, we investigated how engineering-design-based instructionimpacts children’s science content achievement and attitudes in the domains of simple machines,material properties, animal adaptations, and sound. In this paper we report on two studies. Thefirst includes two different groups of teachers to address a specific research question: areattitudes toward science and gains in science content
].Just as race and ethnicity may impact the inner workings of engineering teams [11], issues ofrace and ethnicity may influence who benefits from technology [12]. Hence, it is critical for first-year engineering students to begin to understand engineering and engineering design asprocesses that are inherently social and subject to unconscious bias.Course Description & PartnershipsEngineering 110: Design Your Engineering Experience is an introductory course in whichstudents explore the breadth of opportunities available to engineers in both their education andtheir career. The course is structured around three key themes: What is Engineering?, ExploringMichigan and Michigan Engineering, and Self-Understanding. The complete vision, mission
to Bloom’s Taxonomy, declarative knowledge tends to be associating with“remembering” and “understanding” while procedural knowledge tends to be associated withhigher levels such as “applying” and “creating.” Assessment of knowledge at the application orcreation level of Bloom’s Taxonomy requires more than having someone declare that theyremember that knowledge… it requires accessing someone’s authentic design behaviors, not justtheir thoughts on design.Direct procedural measurement approaches have been used to measure design.Two methods for assessing engineering design knowledge – ethnography and Verbal ProtocolAnalysis (VPA) – explicitly focus on procedural knowledge (see 7 or 8 for reviews of a additionaldesign knowledge assessment
has been shown to be successful inincreasing girls’ self-efficacy in STEM related areas. The students also had a greater feeling ofinclusion both inside and outside the classroom after attending the SSI. As a result of the SSI,there were greater expectations in the outcomes of taking math courses and doing well in math.Improvement in engineering self-efficacy was evident post the SSI, where the students wereconfident in completing an engineering program. After the SSI, the girls understood thatengineering design is not always creating something but it is more often improving what alreadyexists. The students had an increased understanding of engineering that is beyond suchsuperficial ideas that suggest that engineers fix cars or build houses
alsocommitted to measuring the impact of EiE on student skills and procedural knowledge; however,this effort is only in the most nascent stages of development because of the challenges associatedwith such assessment.This paper describes EiE’s assessment development process, as well as lessons learned by EiEover six years of design and improvement of engineering curriculum assessments. EiE has been apioneer in this area: few instruments designed for elementary school students exist whichmeasure student understanding of engineering and technology concepts. Over six years, EiE hasdeveloped and refined a number of instruments for measuring statistically significant change inthe engineering understanding of large samples of students. These instruments have
the contribution of multiple factors. Sorting these factors into categories canhelp to better understand the nature of the factors and to ensure that all of the necessarycategories are considered carefully in the design process. This categorization can alsohelp engineering educators to make certain that all of the different categories are studiedin the engineering curriculum in appropriate places. In this paper, the categories ofindividual ethical responsibility, societal evil, and human finitude will be used to discussthe character and importance of various contributions to specific engineering disasters.The technological systems to which these categories will be applied include the HeliosFlight 522 crash, the Bhopal chemical plant gas
actual design settings.In this study, we observed teams of engineering students in design project settings discussingethical issues that arise for their actual projects. We intentionally focus on teams over individuals,as they provide a more valid unit of analysis for understanding and improving the role of ethicsin actual engineering practice. Furthermore, we organized and observed discussions with non-engineering students from a philosophy course who acted as “ethics advisors.” We haveobserved interesting interactions that revealed important phenomena concerning students’explicit and implicit understanding of engineering ethics. These observations provide evidencethat teams of engineering students tend to share a narrow explicit understanding
. Verleger is an active member of ASEE, having served as the founding chair of the Student Division, a Program Chair and a Director for the Educational Research and Methods Division, and the General Chair of the First-Year Division’s First-Year Engineering Experience Conference. c American Society for Engineering Education, 2020 Change in student understanding of modeling during first year engineering coursesAbstractAll engineers must be able to apply and create models to be effective problem solvers, criticalthinkers, and innovative designers. To be more successful in their studies and careers, studentsneed a foundational knowledge about models. An adaptable
, nature, methods, and limits of human knowl- edge.7 J. Bransford, A. Brown, and R. Cocking, editors, How People Learn: Brain Mind, Experience, and School, Na- tional Research Council, 2000, ISBN 0-309-07036-8. This publication explores the critical issue of how to better link the findings of research on the science of learning to actual practice in the classroom.8 G. Wiggins and J. McTighe, Understanding by Design, 1998, ISBN 0-87120-313-8. This discusses the relation- ship between understanding and knowledge, including insight, as viewed from the design of curriculum.9 M. Gorman, Turning Students into Professionals: Types of Knowledge and ABET Engineering Criteria, Journal of Engineering Education, July 2002. This journal
. Journal Of Engineering Education 102, 2‐19 (2013). 2 Jonassen, D., Strobel, J. & Lee, C. B. Everyday problem solving in engineering: Lesson for engineering educators. Journal of Engineering Education 95, 139‐151 (2006). 3 Litzinger, T. et al. A cognitive study of problem solving in statics. Journal of Engineering Education 99, 337‐353 (2010). 4 Henderson, K. On line and on paper: Visual representations, visual culture, and computer graphics in design engineering., (MIT Press, 1999). 5 Moore, T. J., Miller, R. L., Lesh, R. A., Stohlmann, M. S. & Kim, Y. R. Modeling in engineering: The role of representational fluency in students' conceptual understanding. Journal Of Engineering
interactionsIteration Iterate on and improve on ideas or designsLeadership Use leadership skills to ensure teams work effectivelyLifecycle of a solution Consider a design, product, or process over the course of its lifecycleLogistics Understand or coordinate logistics of a process, problem, or systemModeling and Simulation Develop or work with virtual models or simulationsNatural Environment Account for the natural environment and/or issues of sustainabilityOptimization Engage in optimization to identify the best or most effective decisionOutcome predictions Predict outcomes by drawing on engineering principles or
. Sincethe objective of the study is to understand their conceptual knowledge in relationship to theirinterest in engineering, we present their post-graduation plans and their scores on the SSCI.Students’ interest in electrical engineering varied. Some had come to engineering in general andthen electrical specifically. For one student, the decision to pursue electrical engineering wasmotivated by the available programs at George Mason combined with an interest in robotics andvehicle design. Their plans post-graduation are summarized in Table 1. Pseudonyms are used toprotect students’ identities.Table 2 shows the students’ scores on the SSCI at the beginning of the term and at the end of theterm. The test has 25 questions and students received one
survey used Likert and open-ended questions to measure teachers'reported understandings, confidence, practices, and perceived barriers related to digitaltechnology and engineering instruction (Appendix A). The range of questions reflected theliterature that teachers’ practices are influenced by many internal and external variables. Thedigital technologies included on the instrument were derived from prior work documentingdigital technologies teachers may include in their science instruction as well as those that supportengineering practices (Maeng & Gonczi, 2020). These included digital images (DI), simulations(SIM), interactive visualizations (IV), animations (ANIM), computer assisted design (CAD),programming software (PGM), probeware
Session 1330 Understanding the Importance of Intermediate Representations in Engineering Problem-Solving Durward K. Sobek, II Montana State UniversityAbstractThis paper describes an emerging theory on the role that representations play in engineeringproblem solving. Modern cognitive psychology has shown that not only do problem solvers usedifferent representations to store information and ideas, the representation itself influences theproblem-solvers’ solution approach. I extend this notion to the engineering domain, and illustrateit with an example from
student thinking in engineering and mathematics, curriculum design, design-based research, and assessment. Page 14.1092.1© American Society for Engineering Education, 2009 Students’ Understanding of Sequence And Series as Applied in Electrical EngineeringAbstractAcross all engineering fields, upper-level engineering courses often build upon a strongmathematical foundation. As such, a critical component of understanding how students learnengineering concepts is studying how students apply their mathematical background to theengineering domain. Studying how students apply mathematical knowledge
, and runs the Industrial Design Clinic, where students work on real-world industry problems with specified deliverables for their capstone projects. He is also interested in global engineering and the evolution of engineering education. Page 24.1288.1 c American Society for Engineering Education, 2014 Understanding Change and Development of Engineering Education in ChinaKey Words: Understanding; Change; Development; Engineering Education; ChinaIntroduction: It well known that Chinese economy is booming, with a dramatic increase in people’sstandard of living. For instance, in China, the
. Page 26.891.1 c American Society for Engineering Education, 2015 Impact of the You’re Hired! Program on Student Attitudes and Understanding of Engineering (RTP, Strand 4)AbstractTo meet the growing need for qualified employees in STEM-based careers, it is critical thatmiddle and high school students participate in activities that increase their awareness ofopportunities in these areas. With proper design, these activities can not only increase awarenessof STEM-based careers, but can also help overcome current stereotypes and lead to a change inattitudes towards these careers. Researchers at North Dakota State College of Science, alongwith the University of North Dakota and North Dakota State
narrative research methods and is interested more broadly in interpretive research methods. In her research, Dr. Kellam is broadly interested in developing critical understandings of the culture of engineering education and, espe- cially, the experiences of underrepresented undergraduate engineering students and engineering educators. In addition to teaching undergraduate engineering courses and a graduate course on entrepreneurship, she also enjoys teaching qualitative research methods in engineering education in the Engineering Education Systems and Design PhD program at ASU. She is deputy editor of the Journal of Engineering Education.Dr. Shawn S. Jordan, Arizona State University, Polytechnic campus SHAWN JORDAN, Ph.D
342 Work in Progress: Understanding Student and Workplace Writing in Civil Engineering Susan Conrad, Peter Dusicka, Timothy Pfeiffer Department of Applied Linguistics, Portland State University / Department of Civil and Environmental Engineering, Portland State University / Foundation Engineering Inc.AbstractThis project addresses a continuing problem in engineering education: the mismatch between thewriting skills of engineering program graduates and the demands of writing in the workplace.The project, funded in part by the National Science
of the opportunities available through an engineering education.”As a result, the NAE has instituted an initiative, called Changing the Conversation, toassist in addressing the obvious media blind spot, as well as the relative ignorance of thegeneral public, to the importance of engineering in solving the problems confrontingsociety. This effort is also designed to address the shortage of K-12 students who preparethemselves to study engineering in colleges and universities.The NAE cites three important reasons for improving the public understanding ofengineering: (1) Sustaining the U.S. capacity for technological innovation; (2) attractingyoung people to careers in engineering; and (3) improving technological literacy.While the NAE was
design and implementation using qualitative methods. She has a Ph.D. in Engineering Education from Virginia Tech, a B.S. in Mechanical Engineering from Syracuse University, and a A.S. in Engineering Science from Onondaga Community College, NY. c American Society for Engineering Education, 2016 Beginning to Understand and Promote Engineering Students’ Metacognitive DevelopmentIntroductionMetacognition, defined as the knowledge and regulation of one’s own cognitive processes [1, 2],is critically important to student learning and particularly instrumental in ill-structured problem-solving [3, 4]. Despite the importance of metacognition, much of the research on metacognitionhas
experiences of undergraduate en- gineering students and engineering educators. In addition to teaching undergraduate engineering courses and a graduate course on entrepreneurship, she also enjoys teaching qualitative research methods in the Engineering Education Systems and Design PhD program at ASU. Recently, she and her colleagues pub- lished a book, Transformative Teaching: A Collection of Stories of Engineering Faculty’s Pedagogical Journeys. American c Society for Engineering Education, 2020 Understanding how Novice Indian Faculty Engage in Engineering Education ResearchAbstractUnlike engineering research, engineering education
AC 2011-1873: UNDERSTANDING THE ENGINEERING EDUCATION RE-SEARCH PROBLEM SPACE USING INTERACTIVE KNOWLEDGE NET-WORKSKrishna Madhavan, Purdue University, West Lafayette Dr. Krishna P.C. Madhavan is an Assistant Professor in the School of Engineering Education at Purdue University. He is also a member of the Education Research Team of the NSF-funded Network for Com- putational Nanotechnology (nanoHUB.org). Prior to his arrival at Purdue, he was an Assistant Professor with a joint appointment in the School of Computing and the Department of Engineering and Science Education at Clemson University. Dr. Madhavan also served as a Research Scientist at the Rosen Cen- ter for Advanced Computing, Information Technology at
R. P. Smith, “Choice over uncertainty and ambiguity in technical problem solving,” Journal of Engineering and Technology Management, vol. 10, no. 1-2, pp. 73–99, 1993. [2] S. Ahmed, K. M. Wallace, and L. T. Blessing, “Understanding the differences between how novice and experienced designers approach design tasks,” Research in Engineering Design, vol. 14, no. 1, pp. 1–11, 2003.[3] B. T. Christensen and C. D. Schunn, “The relationship of analogical distance to analogical function and preinventive structure: the case of engineering design,” Memory & Cognition, vol. 35, no. 1, pp. 29–38, 2007.[4] R. Fernandes and H.A. Simon, “A study of how individuals solve complex and ill- structured problems
Paper ID #33251Understanding Non-Traditional Students in Engineering and Computing(Work in Progress)Dr. Stephen Secules, Florida International University Stephen is an Assistant Professor of Engineering and Computing Education at Florida International Uni- versity. He has a prior academic and professional background in engineering, having worked profession- ally as an acoustical engineer. He has taught a number of courses on engineering and education, including courses on engineering design, systems in society, and learning theories. Stephen’s research interests include equity, culture, and the sociocultural dimensions of
Life-long learningProblem solving Engineering techniques/toolsProfessionalism cNote: Some outcomes were separated into multiple stems to capture individual competencies.Refer to the table footnotes below for the original wording.a. ABET, outcome A: “an ability to apply knowledge of mathematics, science, and engineering”.b. ABET, outcome B: “an ability to design and conduct experiments, as well as to analyze and interpret data”.c. ABET, outcome F: “an understanding of professional and ethical responsibility”.d. ABET, outcome H: “the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context”.The fifth measure considers
-Hill.Bucciarelli, L. L. (1994). Designing Engineers. Cambridge, MA: MIT Press.Camacho, M. M., & Lord, S. M. (2013). The borderlands of education : Latinas in engineering.Carlone, H. B., & Johnson, A. (2007). Understanding the science experiences of successful women of color: Science identity as an analytic lens. Journal of Research in Science Teaching, 44(8), 1187-1218. doi:10.1002/tea.20237Chang, M. J., Eagan, M. K., Lin, M. H., & Hurtado, S. (2011). Considering the Impact of Racial Stigmas and Science Identity: Persistence Among Biomedical and Behavioral Science Aspirants. The Journal of Higher Education, 82(5), 564-596. doi:10.1353/jhe.2011.0030Collins, D. B., & Holton, E. F. (2004). The effectiveness of
engineering practice is needed todevelop a deep understanding of the global market and the capacity to work in multidisciplinary,and multicultural teams with a high degree of cultural adaptability [16], [17].In The Engineer of 2020, the National Academy of Engineering (NAE) highlights the fact thatthe accelerating global economy is tightly linked with the rapid advancement of technologyacross the world and “many advanced engineering designs are accomplished using virtual globalteams – highly integrated engineering teams comprised of researchers located around the world.These teams often function across multiple time zones, multiple cultures, and sometimesmultiple languages” [18, p. 33]. Therefore, engineering education in the U.S. needs to preparethe
, is anactive designer and participant in a large social experiment. This social experiment brings with it individual “socialresponsibility”, even if the designer and participant is working as part of a team and has little decision makingpower. Since most engineers work for corporations, the concept of individual social responsibility and how thisfits in with corporate structure is important for engineering students to understand. This is where engineering -ethics differs from medical ethics; for example, doctors are assumed to have autonomy over many life and deathdecisions. In the corporate structure, most of the