perception of disabilities in engineering and the literature gaps can be mademore apparent. Furthering research and understanding in this field can potentially lead to a betterunderstanding of the recruitment and retention of disabled engineering students. References1. Long, M., Steinke, J., Applegate, B., Knight Lapinski, M., Johnson, M. J., & Ghosh, S. (2010). Portrayals of male and female scientists in television programs popular among middle school-age children. Science Communication, 32(3), 356-382.2. Thomas, N., & Smith, A. (2003). Preoccupied with able-bodiedness? An analysis of the British media coverage of the 2000 Paralympic Games. Adapted Physical Activity Quarterly, 20(2), 166
Karis Boyd-Sinkler is a doctoral candidate in Engineering Education at Virginia Tech. She also serves as support staff for the Center for the Enhancement of Engineering Diversity where she is involved in the recruitment, outreach, and retention of engineering students. Her research interests include diversity in engineering and the role of engineering student support centers in regards to student attrition and persistence rates. Ms. Boyd received her B.S. in Engineering Science from the University of Virginia in 2014.Adam Stark Masters, Virginia Tech Adam S. Masters is a doctoral student and Graduate Research Assistant at Virginia Polytechnic Institute and State University. They received a B.S. in Mechanical
]. It is important to note that the framework is one model of the transition processand that as few or as many S’s as are deemed appropriate can be used to describe the transitionprocess. Figure 1 provides a visual representation of the cyclic nature of a transition and the fourmain aspects of this theoretical framework.Figure 1: The Schlossberg Transition Theory Framework (adapted from Schlossberg, 1981).Each S within this framework addresses an aspect of transition. Self describes personalcharacteristics of one’s image and their psychological resources. It also includes demographiccharacteristics, perceptions of themselves, and their value systems. Situation is rooted more inthe actual transition and the changes that are occurring. This is
they bring, dominant and marginal identities, to thedepartment. The results suggest the course does NOT make salient these surface-level diversityattributes and that students lack an understanding or appreciation of the impact these attributescan have on how individuals experience the team, or how this may impact overall team function.References:1 Casper, W. J., Wayne, J. H., & Manegold, J. G. (2013). Who will we recruit? Targeting dep- and surface-level diversity with human resource policy adversity. Human Resource Management 52(3):311-332.2 Data USA. (2018). Biomedical engineering. Available from: https://datausa.io/profile/cip/1405/#demographics.3 Horwitz, S. K. & Horwitz, R. B. (2007). The
actuators and programthe car in order to accomplish the following tasks upon execution of the program: 1. The desired speed of the car is taken from the user in m/s unit. Once the user enters the speed, the car starts moving. 2. The car follows a 2.5cm-wide black line on a white surface. 3. If there is an obstacle on the way, the car stops, goes around the obstacle, and continues its path.In addition to these features, students should be able to control the car manually from their phoneor their computer. Figure 1: Osoyoo Robot CarIII. A. HardwareThe main components in our robot car project are as follows: i. Line follower sensors ii. Ultrasonic sensor iii. Camera iv. DC motors v
other words, the experience of relationality and ethical concern are ontologically priorto defining engineering’s role in a given moment. Returning to one of our recent publications [1],I would argue that we first feel and experience what is going on before we can reflectively thinkabout such experience. We feel and experience relationships with all that we encounter in a givenevent, and we are affected by those encounters. Responsibilities, obligations, and valuations arisetherefrom. In being affected by the multiplicity within an encounter, there is significant potentialfor conflict and difficulties associated with assigning/identifying value(s). Once the experienceoccurs, we objectify it, mine it for information, and seek to address it
Paper ID #29505Exploring the Educational Experiences of Women Who Persisted inEngineering: A Qualitative Case StudyCourtney Green P.E., Courtney S. Green, P.E. is a lecturer and academic advisor for the Office of Student Success and Develop- ment within Williams States Lee College of Engineering at the University of North Carolina at Charlotte. She holds a Master of Science in Engineering with a structural engineering concentration from University of North Carolina at Charlotte in 2008. She graduated Magna Cum Laude with a Bachelor of Science in Mathematics at Marshall University in 2004. Prior to her role at University
to switching sources. 2. AN EXAMPLE OF A LEAD COMPLEX: PLATTERNITE. Lead pipes are made of Pb0. This form of solid lead is readily oxidized to many lead compounds, including plattnerite (PbO2(s)). When lead pipe is stored above ground, a layer of PbO 2(s) can form before the pipe is installed. When exposed to water, PbO 2(s) can be reduced to Pb2+ which is soluble in water. (a) Write the redox half reaction for the reduction of PbO 2(s) to Pb2+. (b) Write the redox half reaction for the oxidation of H 2O to O2. (c) Write the overall chemical reaction for the conversion of PbO 2(s) to Pb2+ in the presence of H2O. 3. PREVENTING LEAD LEACHING WITH ORTHOPHOSPHATE. Orthophosphate can (and should
Students’ Academic Performance: A Case Study of a Rural University in Limpopo Province, South Africa,” J. Polit. Econ. Soc., vol. 8, no. 2, pp. 81–99, 2018.[2] A. J. Swart, K. Lombard, and H. de Jager, “Exploring the relationship between time management skills and the academic achievement of African engineering students - a case study,” Eur. J. Eng. Educ., vol. 35, no. 1, pp. 79–89, Mar. 2010.[3] J.-R. Ruiz-Gallardo, J. L. González-Geraldo, and S. Castaño, “What are our students doing? Workload, time allocation and time management in PBL instruction. A case study in Science Education,” Teach. Teach. Educ., vol. 53, pp. 51–62, 2015.[4] D. R. Simmons, J. Van Mullekom, and M. W. Ohland, “The Popularity and
revised Bloom’s taxonomy. The working document in Figure 3 shows a mid-semestersnapshot of some of the questions asked. The document in the meantime has been updated threetimes to date and will be an ongoing reminder to vary questions, to think about creative ways tohave students think about the material from different angles, to find parallels in their own lives,and to apply historical examples to current situations. Students are free to consult their neighborsand their phones but at the end of class have to hand in a small chit with their answer(s) to theTAs for the course. The revised taxonomy combines the pyramid most of us are familiar with
, alongwith graduating senior(s), and discusses lessons learned from graduating seniors - “what I wish Iknew when I was a first-year engineering student”. The first class also covers graduate schoolversus full-time industrial employment after graduation. The second class covers “Building aGreat Resume” and is taught by a university staff member who serves as the engineering college’sliaison at the campus’ Internship and Career Center (ICC). The timing of this lecture occurs beforethe quarterly campus career fair. In this lecture, the many resources offered by the ICC are alsohighlighted, providing a great exposure for ICC to the students. The ICC is extremely supportiveof the course, and, for the first offering of the course, two ICC employees
the Innovation (STEM-ID) Attributes of STEM-ID that are uninfluenced by other factors at any given point in time. Complexity The number of parts in the STEM-ID curricula and the extent of their interdependence. Specificity The level of detail in which the operationalization of STEM-ID is described. Scope STEM-ID’s target area(s) within the field of education. Empirical Evidence that STEM-ID accomplishes desired outcomes. Effectiveness Results The extent to which the impacts of STEM-ID can be
perspective explicit,” European Journal of Engineering Education, vol.34, no. 2, pp. 149–154, May 2009, doi: 10.1080/03043790902833317.[10] S. R. Cavanagh, "The spark of learning: Energizing the college classroom with the scienceof emotion," West Virginia University Press, 2016.[11] R. Pekrun, "Emotions and Learning," Educational Practices Series-24, UNESCOInternational Bureau of Education, 2014.[12] J. C. Richards, "Exploring emotions in language teaching," relc Journal, vol. 53, no. 1, pp.225-239, 2022.[13] R. Pekrun, T. Goetz, A. C. Frenzel, P. Barchfeld, and R. P. Perry, “Measuring emotions instudents’ learning and performance: The Achievement Emotions Questionnaire (AEQ),”Contemporary Educational Psychology, vol. 36, no. 1, pp. 36–48, Jan. 2011
Project (2018). 5. Cheryan, S., Master, A. & Meltzoff, A. N. Cultural stereotypes as gatekeepers: increasing girls’ interest in computer science and engineering by diversifying stereotypes. Front. Psychol. 6, (2015). 6. Boucher, K. L. & Murphy, M. C. Why so few? The role of social identity and situational cues in understanding the underrepresentation of women in STEM fields. in Self and social identity in educational contexts 93–111 7. Malone, K. R. & Barabino, G. Narrations of race in STEM research settings: Identity formation and its discontents. Sci. Educ. 93, 485–510 (2009). 8. Sparks, D. M. Navigating STEM-worlds: Applying a lens of intersectionality to the career identity
used here the term ‘system map’ refers to a simplified graphical representation of how acomplex human-social-technical system behaves. ‘System’ derives from the Greek root systemameaning an organized whole compounded of parts. The positivist scientific revolution with itslogical chains of inference that engineering derives from sought to reduce problems into simpleparts, and as a result focused less on the whole. Initial work on systems arose in biology sincelife could not be well described by positivist methods. From its origins in organismal biologysystem science arose as a synthetic and interdisciplinary field in the 1960’s stimulated byadvances in computational methods. Since then the ideas of system science have beengeneralized to
: Computer Science FAQ”, https://www.NJ.gov/education/techno/csfaq.htm.[6] K. G. Herbert, V. K. Anu, K. Z. Sultana, S. Robila, J. R. Miller, S. Hagiwara, R. A.Goldstein, and T. J. Marlowe, "Professional and Capacity Building in K-12 Computer ScienceEducation: A Multi-Faceted Approach”, ACM SIGCSE '23: Proceedings of the 54th ACMTechnical Symposium on Computer Science Education, Toronto, Canada, March 2023.
, Eds., New York, NY, USA: Routledge, Aug. 2023, pp. 125-143.[6] C. Lewis and R. Perry, “Lesson study with mathematical resources: A sustainable model for locally-led teacher professional learning.” Math. Teacher Educ. and Develop., vol. 16, no. 1, pp. 1-20, Jun. 2014.[7] K. Smith, S. Finney, and K. Fulcher, “Connecting assessment practices with curricula and pedagogy via implementation fidelity data,” Assmt. & Eval. in Higher Educ., vol. 44, no. 2, pp. 263-282, 2018, doi: 10.1080/02602938.2018.1496321.[8] M. Swain, S. J. Finney, and J. J. Gerstner, “A practical approach to assessing implementation fidelity,” Assmt. Update, vol. 25, no. 1, pp. 5-13. Jan-Feb. 2013.[9] M. Vazquez Cano and M. Yin
between the learner and their environment andinfluenced learners' achievements" [8, p. 86]. While remembering that one study app or methoddoes not fit all needs, students must learn the principles of self-regulated learning and how to studyto foster deep understanding. Although this initial pilot study was done within an in-person course,these problems are only compounded for online courses due to reduced personalized guidance,interaction, and feedback. Intentional thinking involves analyses of one's thinking. Studentsdevelop strategies or ways of thinking about the task at hand and the processes or strategiesnecessary to complete the task.COVID-19’s dramatic shift to remote learning left many students struggling in online learningenvironments
conductingcontrol group data collection. All educational materials will be designed to use in the controlgroup (without SedimentSketch), and then repeated using SedimentSketch in the test group.Additionally, we are working on the initial user interface design and development of the pilotversion of SedimentSketch.In years two and three, we will complete SedimentSketch development, test it in the classroom,and work on assessment data analysis and evaluation.1 AcknowledgementsThis work was supported by the National Science Foundation under Grant “HSI Implementationand Evaluation Project: SedimentSketch, teaching tool in and beyond the sedimentologyclassroom to provide equitable and inclusive learning for Hispanic students” #2318386.References[1] R. S
Integration in Core Engineering Science Courses,” Proceedings of the ASEE Annual Conference & Exposition, p. 1, Jan. 2015.[8] J. Larson, W. M. Barnard, A. R. Carberry, and D. Karwat, “Student Recognition, Use, and Understanding of Engineering for One Planet Competencies and Outcomes in Project-based Learning,” presented at the 2021 ASEE Virtual Annual Conference Content Access, Jul. 2021. Accessed: Jan. 08, 2024. [Online]. Available: https://peer.asee.org/student-recognition-use-and-understanding-of-engineering-for-one-plan et-competencies-and-outcomes-in-project-based-learning[9] D. Lopatto, “Undergraduate research as a high-impact student experience,” Peer Review, vol. 12, no. 2, p. 27+, 2010.[10] A. L. Zydney, J. S
-determination theory. In Handbook of theories of social psychology, P.A.M. van Lange, A.W. Kruglanski, and E.T. Higgins (Eds.). Sage Publications Ltd., 416–436.[2] Catherine Good, Aneeta Rattan, and Carol S Dweck. 2012. Why do women opt out? Sense of belonging and women’s representation in mathematics. J. Pers. Soc. Psychol. 102, 4 (2012), 700–717.[3] Soohyun Nam Liao, Sander Valstar, Kevin Thai, Christine Alvarado, Daniel Zingaro, William G Griswold, and Leo Porter. 2019. Behaviors of higher and lower performing students in CS1. In Proceedings of the 2019 ACM Conference on Innovation and Tech- nology in Computer Science Education (Aberdeen Scotland Uk). ACM, New York, NY, USA.[4] Adrian Salguero, William G Griswold, Christine
Bit (LSB) of the opcode governs theselection between two results within the same category (logic or arithmetic). In Fig. 2, theopcode is set to “11,” indicating the operation Y = A – B. Initially, the input B undergoes theconversion to its 2’s complement format, followed by addition to A, and the result is showcasedin the hex-display on the right. Modifying the opcode will accordingly reflect the correspondingresults. Opcode Operation 00 AND 01 OR
to abandonresearch, or theory, or qualitative interviewing in order to have impact. But we do need to ask ourselveswhy we are conducting this specific research, who it is going to benefit, how it will benefit them, andwhether or not it has benefitted them once we are finished. We need more innovation and moreaccountability towards impact in order to truly ‘move the needle’ of broadening participation inengineering.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Awards #2114241and 2114242. Any opinions, findings, and conclusions, or recommendations expressed in this material arethose of the author(s) and do not necessarily reflect the views of the National Science Foundation. Wediscussed
://doi.org/10.1038/s41467-022-34508-xZurn-Birkhimer, S., & Serrano, M. (2022, August), Longitudinal Analysis of First-YearEngineering Students' Active Participation in Women in Engineering Program Activitiesand the Relationship to Engineering Persistence Paper presented at 2022 ASEE AnnualConference & Exposition, Minneapolis, MN. https://peer.asee.org/41485 3Graphic from https://www.wepan.org/fourframesMentoring work falls into Frame 1: Equip the Individual. These particular mentoringprograms teach students to cope within the current academic culture/workplaceculture and navigate the barriers that exist. The emphasis is on the individual level(minimizing
) expenditures in science and engineering (S&E) 2) R&D expenditures in non-science and engineering fields 3) Science and engineering research staff (postdoctoral appointees and other non-faculty research staff with doctorates) 4) Doctoral degrees conferred in humanities, social science, STEM (science, technology, engineering, and mathematics) fields as well as other non-STEM fieldsConsidering this data, each institution was given a principal component analysis to create twoindices of research activity, one representing an aggregate level and the other representing per-capita research activity. Organizations with high metrics for both indices were designated as R1:Doctoral Universities with very high research activity. At the time