interplay between social and technical considerations(Leydens & Lucena, 2017), but they have few opportunities to develop these sociotechnical waysof thinking (i.e., values, attitudes, and skills that integrate the social and technical). Instead,students are left to infer engineering as technically neutral through the instructional decisionsthat make up an engineering curriculum (Cech, 2013; Trevelan, 2014).In this study, we focus on how students understand the role of sociotechnical thinking inengineering. Particularly, this study centers seven minoritized students in an introductoryengineering computation class who are pursuing an engineering degree. The study takes place ata medium private university in New England. These seven students are
CompetencyAbstractComputing systems face diverse and substantial cybersecurity threats. To mitigate thesecybersecurity threats while developing software, engineers need to be competent in the skill ofthreat modeling. In industry and academia, there are many frameworks for teaching threatmodeling, but our analysis of these frameworks suggests that (1) these approaches tend to befocused on component-level analysis rather than educating students to reason holistically about asystem’s cybersecurity, and (2) there is no rubric for assessing a student’s threat modelingcompetency. To address these concerns, we propose using systems thinking in conjunction withpopular and industry-standard threat modeling frameworks like STRIDE for teaching andassessing threat modeling
project facilitatorsfor each site. Criteria for selection included expressed interest in the project curricula, curiosityand enthusiasm to explore new ideas and content, and availability for the duration of the year-round project. Teachers received a $3,000 stipend and seven professional development dayswhere the district paid for a substitute teacher to work in the teacher’s regular classroom.Project TeamThe project team included nine university researchers and faculty with expertise in the areas ofengineering (Materials Science and Engineering, Industrial Engineering, Computer Science andEngineering), sustainability, science education, mathematics education, earth and space science,geology, counseling psychology, instructional technology, and
Tech. She has done work as a transformational change postdoctoral research associate with the University of Colorado at Boulder. Her research and practice spans student intervention programs, faculty agency, evaluation, grant-writing, and facilitation of change initiatives. ©American Society for Engineering Education, 2024Stewardship of the Stories: Learning from Black Engineering Students’ Lived ExperiencesAbstractIn 2019 - 2021, during a research study involving 24 Black engineering student participants whowere currently or formerly enrolled at a predominantly White university in the United States,some participants answered interview questions, based on their lived experiences, in astorytelling manner
students agreed or stronglyagreed that the system enabled them to identify areas for improvement in their interviewpreparation. The results from this work could be valuable for educators and administratorslooking to enhance their curriculum and integrate new technologies to improve the careertrajectory of students. We also hope to raise awareness of the effectiveness of using virtual realityas a career training approach to help students combat anxiety and gain practice usinglow-pressure interactive scenarios.1 IntroductionAs of March 2023, roughly 5.8 million individuals were seeking employment in the United States[1]. Although the hiring process can be intimidating for all applicants, it can be especiallydaunting for those new to the job market
undertake internships and in the UK, this has led to a significant growth in sandwicheducation, both in absolute numbers and as a proportion of those studying at university –particularly in vocationally related subject areas. This growth has not been accompanied bysignificant research into the issues that this form of education raises, particularly concerning thestudent learning outcomes achieved in the wide variety of internships, and the equally widevariety of work place settings.Within the degree program documentation the educational and personal benefits students areexpected to achieve are written in terms of learning outcomes. Faculty has written theselearning outcomes from a basis of practice and tacit understanding of the types of training
comprehending the technicaldepth and tend to appreciate the “what” (the new design or technology) and the “how” somethingworks. This is the audience that most students identify with themselves in engineering schools. Asecond audience type is an internal business audience. This audience is less concerned about thetechnology directly and more interested in the impact or “value” of the technology on theirinternal business. An example would be how they will be differentiated from the competition.The customer audience is similar to the internal business audience, but the customer audienceappreciates the impact and value to their own business.2. Audience seniority: The seniority of the audience is an important aspect to focus technicalcommunications. Entry
Annual Conference & Exposition Copyright c 2001, American Society for Engineering Educationcontrol-systems education is emphasised in a paper by Bernstein. 3 Modeling and simulationrarely capture the complete picture—physical system identification is required; controlexperiments often focus attention on performance and implementation issues that are overlookedand difficult to capture in simulation; experiments can reveal whether or not assumptions madewhen making a control design are realistic; and experiments provide a way to identify controlmethods that seem to work under real-world conditions as well as those that clearly don’t. Thisfinal point leads to real learning.Bernstein’s paper discusses a number of
Morgan State University and Obafemi Awolowo University. With passion to communicate research findings and gleaned from experts in the field as he advances his career, Olaitan has attended several in-persons and virtual conferences and workshop, and at some of them, made presentation on findings on air pollution, waste water reuse, and heavy metal contamination.Dr. Oludare Adegbola Owolabi P.E., Morgan State University Dr. Oludare Owolabi, a professional engineer in Maryland, joined the Morgan State University faculty in 2010. He is the assistant director of the Center for Advanced Transportation and Infrastructure Engineering Research (CATIER) at Morgan State Universit ©American Society for
AC 2011-729: ENERGY CONSERVATION IN THE CLASSROOMRandy Dean Kelley, University of Pittsburgh - Johnstown Randy Kelley is an Assistant Professor of Mechanical Engineering Technology at the University of Pitts- burgh at Johnstown. He earned a Ph.D. in Interdisciplinary Engineering (Nuclear and Mechanical) at Texas A&M University, a Masters of Engineering in Mechanical Engineering from Texas A&M Univer- sity, a Masters of Business Administration from West Texas A&M University, a Masters of Science in Mechanical Engineering from Kansas State University and a Bachelors of Science in Nuclear Engineer- ing from Texas A&M University. He joined the faculty at UPJ in 2010 after finishing his doctoral degree
. 2016, pp. 1–4. doi: 10.1109/FIE.2016.7757572.[20] J. Bishop and M. A. Verleger, “The Flipped Classroom: A Survey of the Research,” Jun. 2013, p. 23.1200.1-23.1200.18. Accessed: Feb. 07, 2022. [Online]. Available: https://peer.asee.org/the-flipped-classroom-a-survey-of-the-research[21] L. K. Michaelsen and M. Sweet, “Team-based learning,” New Dir. Teach. Learn., vol. 2011, no. 128, pp. 41–51, Dec. 2011, doi: 10.1002/tl.467.[22] M. L. Wagner, D. C. Suh, and S. Cruz, “Peer- and Self-Grading Compared to Faculty Grading,” Am. J. Pharm. Educ., vol. 75, no. 7, Sep. 2011, doi: 10.5688/ajpe757130.[23] J. V. Seidel, Qualitative data analysis. éditeur non identifié, 1990.[24] “Matthew Spencer - Harvey Mudd College.” http://pages.hmc.edu
CurriculumAbstractAs demand rises for circuits with higher performance, higher complexity, and decreased featuresize, asynchronous (clockless) paradigms will become more widely used in the semiconductorindustry, as evidenced by the International Technology Roadmap for Semiconductors’ (ITRS)prediction of a likely shift from synchronous to asynchronous design styles in order to increasecircuit robustness, decrease power, and alleviate many clock-related issues 1. ITRS predicts thatasynchronous circuits will account for 19% of chip area within the next 5 years, and 30% of chiparea within the next 10 years 2. To meet this growing industry need, students in ComputerEngineering should be introduced to asynchronous circuit design to make them more marketableand more
my leadership skills and my commitment to excellence, I have achieved outstanding results in projects and work teams. I am an enthusiastic collaborator and committed to continuous improvement, which has allowed me to successfully adapt to new environments and face challenges effectively.Prof. Maria Elena Truyol, Universidad Andres Bello, Chile Mar´ıa Elena Truyol, Ph.D., is full professor and researcher of the Universidad Andr´es Bello (UNAB). She graduated as physics teacher (for middle and high school), physics (M.Sc.) and Ph.D. in Physics at Universidad Nacional de C´ordoba, Argentina. In 2013 she obtained a three-year postdoctoral position at the Universidade de Sao Paulo, Brazil. Her focus is set on
the ground. Some simple linkage analysis allows for the link and strut angles to be determined as a function of the driven arm input. Each faculty member takes a different approach with respect to presenting these methods of analysis to students. This will be discussed further in the next section.Instructor Approaches to Presenting, Conducting, and Assessing the ProjectBACKGROUND As of the 2023-2024 academic year, 11 different instructors have taught Statics and Mechanics of Materials I with the link element design project, 3 of whom are co-authors on this paper. This project has been part of the course well before any of the co-authors started teaching it; credit for its development goes to our colleagues. For
Edith Gummer is the Director of the Classroom-Focused Research and Evaluation Program for the Center for Classroom Teaching and Learning at the Northwest Regional Educational Laboratory. She coordinated the structure of the research design and the data collection and analysis processes of the project. She has been faculty in science and mathematics education quantitative and qualitative research design courses at the doctoral level. She has been involved in the development of innovative mathematics curricular activities and formative assessment in mathematics problem solving.Milo Koretsky, Oregon State University Milo Koretsky is an Associate Professor of Chemical Engineering at Oregon State
Paper ID #15372First-Year Students’ Conceptions of Sustainability as Revealed through Con-cept MapsDr. Angela R. Bielefeldt, University of Colorado - Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder in the Department of Civil, Environ- mental, and Architectural Engineering (CEAE). She serves as the ABET assessment coordinator for the three Bachelor’s degrees in the department. Professor Bielefeldt is the faculty director of the Sustainable By Design Residential Academic Program, a living-learning community where interdisciplinary students learn about and practice sustainability. Bielefeldt
use, e.g., using abusivelanguage to describe an instructor [17]. In addition to the personal harm done to instructors, biascan derail the careers of minority-group instructors as course evaluations often play an large rolein determining tenure and promotion [18, 19]. Our case study builds on the well-establishednotion of bias in student evaluations, and we investigate how much bias exists in writtenevaluations and whether that bias changed when courses switched to virtual format in 2020.3 Methods3.1 Data CollectionOur new data set, henceforth CCE for “COVID-19 Course Evaluations,” comes from a publicuniversity in the U.S. Midwest. The university’s registrar provided 23,882 course evaluationsfrom the College of Engineering collected over six
result, further research is needed to understand the impact of online learning onlaboratory-based engineering courses. Online learning has numerous benefits, including the convenience and flexibility itprovides. However, it has also raised concerns about the disparities faced by minority studentswho lack access to technology, experience social isolation, face technical difficulties, and lackadequate support. These inequalities have been an ongoing issue for over two decades and havebeen further exacerbated by the shift to emergency online learning brought on by the COVID-19pandemic. This is particularly important for minority students as the courses in Engineeringprograms are often prerequisites for further coursework and professional
identifyvarious factors that influence students’ ideas of leaving (e.g., advisor, funding, lack of well-being),departure is often the result of a series of negative experiences that impact students over time,making it difficult to capture in retrospective interview-based studies. To overcome this issue, wecaptured the experiences of N = 142 current engineering Ph.D. students across the US over thecourse of a year, collecting data three times per week using SMS text message survey methods.After the first year of the study, we captured doctoral departure in a subset of our participants whodecided to leave their Ph.D. programs while enrolled in our study. This study is the first to captureand show attrition decisions in action. It combines real-time
, Technology, Engineering, and Mathematics (STEM).Mrs. Selyna Beverly, University of Michigan Selyna Beverly is current doctoral student in the Higher Education program at the University of Michigan, Ann Arbor. She has worked as an administrator in a College of Engineering in California and through that experience grew interested in studying female faculty and students. Currently, her research centers on implicit bias within engineering and how it affects women who are pursuing engineering degrees. c American Society for Engineering Education, 2017 Can I really do this? Perceived benefits of a
.[4] J. E. Froyd, P. C. Wankat, and K. A. Smith, "Five major shifts in 100 years of engineering education," Proceedings of the IEEE, vol. 100, no. Special Centennial Issue, pp. 1344-1360, 2012.[5] M. Towns, "Guide to developing high-quality, reliable, and valid multiple-choice assessments," Journal of Chemical Education, vol. 91, no. 9, pp. 1426-1431, 2014.[6] T. Holme, "Assessment and Quality Control in Chemistry Education," Journal of Chemical Education, Article vol. 80, no. 6, p. 594, 2003.[7] M. Emenike, J. R. Raker, and T. Holme, "Validating chemistry faculty members’ self- reported familiarity with assessment terminology," Journal of Chemical Education, vol. 90, no. 9, pp. 1130-1136, 2013
utterable, or even thinkable in engineering education, resulting in an unacceptable erosion of analyticpower for studies centering equity, diversity, and inclusion (EDI). Whose voices do we lose when we arerestricted to normative discourse in our data collection instruments? Whose voices are raised in anger ordisbelief when we nevertheless dare to invite participants to examine the water in which they swim? Ourpaper examines these issues by documenting what happened when we introduced the socially theorizedconcept “culture” in our national engineering career path survey: “I’m not sure what you mean about engineering culture. To me it is a culture of checking and rechecking and making sure things are right. That isn't
Purdue University. She received a B.S. in Chemical Engineering from Cornell University in 1994 and a Ph.D. in Chemical Engineering from North Carolina State University in 2000. Her research interests include engineering education and gender equity, specifically regarding self-efficacy, issues of gender on student cooperative learning teams, and curriculum development.George Bodner, Purdue University George M. Bodner is the Arthur E. Kelly Professor of Chemistry, Education and Engineering at Purdue University, where he is head of the Division of Chemical Education in the Department of Chemistry and a member of the faculty of the newly constituted Department of Engineering Education
, http://www.hkbu.edu.hk/~ppp/cpr/toc.html.6. Galileo Galilei , "Dialogues Concerning Two New Sciences" (1638) ,translated by Henry Crew & Alfonso de Salvio, William Andrew Publ., Norwich, New York, U.S.A., http://www.williamandrew.com/pdf/TwoSciences.pdf7. von Glasersfeld Ernst, "A constructivist approach to experiential foundations of mathematical concepts", (In S.Hills, ed.), History and philosophy of science in science education. Queen's University, Kingston, Ontario, 1992, 551-571.8. Dubinsky Ed. "Reflective abstraction in advanced mathematical thinking," In (D. Tall, ed.), Advanced Page 11.1263.15
students, first-year engineering programs, mixed methods research, and innovative approaches to teaching. Currently, she teaches within the first-year engineering program at Ohio State while maintaining an active engineering education research program.Dr. Elizabeth G. Creamer, Virginia Polytechnic Institute and State University Dr. Elizabeth G. Creamer is professor, Educational Research and Evaluation in the School of Education at Virginia Polytechnic Institute and State University where she teaches graduate level courses in mixed methods research. She is working on a manuscript for a new introductory textbook, Introduction to Fully Integrated Mixed Methods Research
. NVivo, a qualitative dataanalysis software, was used to analyze the open-response survey questions. NVivo requires aninput of qualitative data that can be coded to produce a quantitative response, decreasing thechance of cherry-picking and researcher bias in data analysis. Such software allowed for themanual and automatic coding of themes identifiable in the data. Sentiment analysis wasperformed to analyze the frequency and tone of word usage. Ongoing work will continue toexamine the long-term impacts of the course concerning the above metrics as well as studentretention and graduate placement.IntroductionMyriad undergraduate Biomedical Engineering programs have developed programs that seek toprovide an element of "clinical immersion" for
search inquiry keywords were personal narratives, stories, engineering, classroom,university, college, students, STEM, education, intervention, pedagogy, and psychology. Throughiterative searching using these keywords, some new keywords were added (e.g., expressivewriting intervention) and removed (e.g., students). Ultimately, we ended up using the followingkeywords: engineering, education, narrative(s), personal narrative, storytelling, story, stories, 5psychology, STEM, college, university, expressive writing intervention, pedagogy, curriculum.At the same time, our target samples were post-secondary students in higher education, such thatwe
forth their best effort. These issues will be addressed during the remainder of thisstudy. Future work will involve exploring whether students’ problem solving performance willbe improved by enhancing their spatial thinking abilities or understanding of key concepts inmechanics. In addition, we are planning on extending this research to other areas of application,such as engineering design or other disciplines and recruiting participants at various levels ofacademia (i.e. graduate students, instructors, and faculty members) to examine the impact ofexperience/expertise. Although eye-trackers are becoming more accessible and affordable, theyare not widely used and it requires trained personnel to manage every stage of the study. Inaddition
performance (C)1. Godwin based her work on the existing physics, math, andscience identity scales, which had been extensively validated in previous work13,14,15,16,17,18Perkins et al. (2018)2 subsequently used Godwin’s engineering identity scales as a starting pointfor the generation of scales used to measure different aspects of professional identity in graduateengineering students (they developed scales to measure engineering, scientist, and researcheridentity, respectively). However, they significantly expanded Godwin’s original scales bygenerating and testing several new items based on data gathered through interviews withengineering doctoral students. For comparison, Godwin’s original engineering identity scalescontain 11 total items. Perkin et
Paper ID #36477Hydropower from Gutters: Generating Electricity fromRainwaterBala Maheswaran (Professor) Bala Maheswaran is currently a senior faculty in the College of Engineering, Northeastern University. He has contributed and authored over one hundred publications consisting of original research and education-related papers, and conference proceedings. He has over twenty years of experience in teaching at Northeastern University. He is the Chair of the Engineering Physics Division, ASEE, Chair and executive board member, ASEE NE Section; the co-chair of TASME Conference (Technological Advances in Science