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Displaying results 991 - 1020 of 1140 in total
Conference Session
NSF Grantees Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Tameshia Baldwin, North Carolina State University at Raleigh; Latricia Townsend, North Carolina State University at Raleigh; Callie Edwards, North Carolina State University at Raleigh
STEM educational experiencefor their students. Future work will involve the development of a framework for course design andimplementation that may prove useful for other rural school districts seeking to launch similartypes of projects.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1949454. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] National Academy of Sciences, National Academy of Engineering, & Institute of Medicine,“Rising above the gathering storm: Energizing and employing America for a brighter economicfuture
Conference Session
Entrepreneurship & Engineering Innovation Division Technical Session 1
Collection
2022 ASEE Annual Conference & Exposition
Authors
Jean Batista Abreu, Elizabethtown College; Kurt Degoede, Elizabethtown College; Tomas Estrada, Elizabethtown College; Brenda Read-Daily, Elizabethtown College
– [if I built a new component, is there a photo in my PME?]2. New Assignments - new tasks assigned for next week • Person A – [these should be individualized and specific – assignments should represent 3-6 hours of work – realizing other tasks like attending this meeting are part of the 4-6 hours/week expectation] • Person B – [if a task is a two-person job, be specific about who they will work with, Joe and I will build the test frame] • Person C – [as above use actual names not “Person C”] • Person D – [Sue and I will build the test frame] • Person E – [attending this meeting, doing the individual report, and writing reflections are not project work assignments]If you are working on a project report
Conference Session
ETD Technical Session 5 - ET Curriculum and Programs II
Collection
2022 ASEE Annual Conference & Exposition
Authors
Walker Murphy, Purdue University at West Lafayette (PPI); Keith Pate, Purdue University at West Lafayette (PPI); Israa Azzam, Purdue University at West Lafayette (COE); Jose Garcia; Farid Breidi, Purdue University at West Lafayette (PPI)
models lacks thepotential of incorporating communication skills and encouraging self-reflection [3]. Thus, thesetraditional methodologies fail to associate the sought-after engineering skills with practicalapplications, which impedes the role of engineering education in preparing students for their futurecareers [4].This issue led educators to adopt project-based learning methodologies that reinforce the students’engineering skill sets and enhance their learning experience. Educators started incorporatingmodern courseware, like modular engineering demonstrators, into the engineering educationcurriculum [5] [6]. They started using modular demonstrators as pedagogical tools in coordinationwith traditional techniques to improve the students
Conference Session
Electrical and Computer Engineering Division Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Yang Shao, University of Illinois at Urbana - Champaign
design section covers concepts from basic circuits, transmission line, fields andwaves, and their applications courses taken in sophomore and junior year. Both undergraduate andgraduate student groups have a basic knowledge of these topics. The following subjects arediscussed to provide a deeper understanding. i. Basic EMC concepts (two classes): EMC definition; basic four coupling mechanisms; EMC problems on printed circuit boards (PCBs); EMC standards. ii. Transmission line basics for EMC (three classes): Transmission line parameters and equations; transmission line loss; transmission line on the non-ideal ground; reflection at the discontinuity (including resistive discontinuity and reactive discontinuity
Conference Session
Mechanical Engineering: Adjusting Course Content
Collection
2022 ASEE Annual Conference & Exposition
Authors
John Liu, Massachusetts Institute of Technology; Nisal Ovitigala; Benita Comeau, Massachusetts Institute of Technology; Emily Welsh, Massachusetts Institute of Technology; Nicholas Fang, Massachusetts Institute of Technology
Response and Feedback QuestionsPlease reflect on your haptics and visualization learning experience and answer the followingquestions. The answer scale ranges from 1-7 where 1 = not at all true of me and 7 = Very true ofme. 1. I liked learning about the AFM using haptics and visualization. (1-7 scale) 2. I would prefer to learn about the AFM using the haptics and visualization as opposed to traditional text and graphics. (1-7 scale) 3. I learned the necessary material using haptics and visualization. (1-7 scale) 4. How did using haptics and visualization you received facilitate or detract from your learning? 5. Any feedback or additional comments?Appendix E: Feedback Responses How did using haptics and visualization you
Conference Session
Community Engagement Division Technical Session 4- COVID and Virtual Learning
Collection
2022 ASEE Annual Conference & Exposition
Authors
Shaoping Qiu, Texas A&M University; Malini Natarajarathinam, Texas A&M University
-defined problems to besolved in this project. About two months before the beginning of the project, we communicatedwith the HFB, selected agencies, and visited some agency locations. As mentioned in thepreparation stage, HFB was involved to define the scope of the project, editing necessarydocuments to reflect current initiatives and goals, provided information of their agencies. Tolisten to the community’s voice, we selected the appropriate agencies to do this project. Wescheduled communications with agencies via zoom meetings or visited some agencies to listen totheir voices. To ensure that communication remains open and consistent, we selected a managerin HFB as a communication liaison, connecting agencies, HFB, and us.Decided on data
Conference Session
Multidisciplinary Engineering Division Technical Session - Integrated Engineering and Interdisciplinary Impacts
Collection
2022 ASEE Annual Conference & Exposition
Authors
Faruk Yildiz, Sam Houston State University; Adrian Villalta-Cerdas; Mary Swarthout, Sam Houston State University; David Thompson, Sam Houston State University; Taylor Martin, Sam Houston State University
, findings, and conclusions or recommendations expressed inthis paper are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] President’s Council of Advisors on Science and Technology, Engage to Excel: ProducingOne Million Additional College Graduates with Degrees in Science, Technology, Engineering,and Mathematics, 2012. Available:https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/fact_sheet_final.pdf.[Accessed Jan. 30, 2022].[2] STEM Center USA website. Available: https://www.stemcenterusa.com/. [Accessed Jan. 30,2022].[3] Texas Education, University of Texas at Austin website. Available:https://stemcenter.utexas.edu/. [Accessed Jan. 30, 2022].[4] University of Houston
Conference Session
Civil Engineering Division - Huh? What Did You Say? What Does That Mean?
Collection
2022 ASEE Annual Conference & Exposition
Authors
Angela Bielefeldt, University of Colorado Boulder; Cristina Torres-Machi; Qin Lv, University of Colorado Boulder
toward data science and data analysis. The clustering of computing attitudesand data analysis attitudes together is interesting. The second factor included the items fromEPRA related to social responsibility, primarily the items from the professional connectednessrealm. The third factor included items related to data science extrinsic value perceptions(employability). The fourth factor included professional ability items from EPRA and self-ratedabilities related to computing skills. It was somewhat unexpected that students’ self ratingabilities across these very different areas clustered together but perhaps reflect overall self-confidence (and in some cases Duning-Kruger effect). The fifth factor included the majority ofthe ‘importance of
Conference Session
Computers in Education 11 - Modulus 3
Collection
2022 ASEE Annual Conference & Exposition
Authors
Tajmilur Rahman, Gannon University; Joshua Nwokeji, Gannon University; Terry Holmes, Gannon University; Yudi Dong, Gannon University
experience – Remote learning does not have any effect on the way I grade student assignments and examinationsIn total, we received responses from 338 participants, which involved 240 students and 98instructors. Figure 2 describes the distribution of students according to majors. Figure 1 showsthe statistics of our student participants. In Figure 1a, we evenly involved the students with alllevels including freshman, junior, sophomore, senior undergraduate students, and graduatestudents. As shown in Figure 1b, 66.3% of student participants are female. Our survey resultstend to reflect the opposition of STEM female students. In Figure 1c, we can see that 41.7% of Sophomore Graduate 24.2% 16.7
Conference Session
College Industry Partnerships Division Technical Session 2
Collection
2022 ASEE Annual Conference & Exposition
Authors
Stephanie Ivey, The University of Memphis; Aaron Robinson, The University of Memphis; Katie Bowman, The University of Memphis
, enhancesengineering/STEM identity, and fosters innovation is critical. Meaningful partnerships betweenindustry and academia have the potential to both increase the talent pipeline and better preparethe workforce of the future.AcknowledgementsThis workforce product was funded by a grant awarded by the U.S. Department of Labor’sEmployment and Training Administration. The product was created by the recipient and does notnecessarily reflect the official position of the U.S. Department of Labor. The Department ofLabor makes no guarantees, warranties, or assurances of any kind, express or implied, withrespect to such information, including any information on linked sites and including, but notlimited to, accuracy of the information or its completeness, timeliness
Conference Session
Entrepreneurship & Engineering Innovation Division Technical Session 6
Collection
2022 ASEE Annual Conference & Exposition
Authors
binbin shao, Zhejiang University; Wei Zhang, Zhejiang University; Liang Wang
entrepreneurship competitions, is positively associated with ESE,which may have significant effects on one’s entrepreneurial career choice [6]. Thus,we propose the following hypotheses:H1: Entrepreneurship competitions have a positive influence on EI.H2: Entrepreneurial competitions have a positive influence on ESE.Entrepreneurial Self-efficacySelf-efficacy represents a person’s belief that they can successfully perform a giventask [7]. The concept of self-efficacy was introduced into the field of entrepreneurshipresearch as an important variable for predicting entrepreneurial behavior. This conceptwas redefined as ESE, which reflects the degree to which a person believes that theycan successfully start a new business venture [8]. Previous research
Conference Session
Electrical and Computer Engineering Laboratory and SoC Developments
Collection
2022 ASEE Annual Conference & Exposition
Authors
Sandip Das, Kennesaw State University; Craig Chin, Kennesaw State University; Sheila Hill, Kennesaw State University
reflect that students found the new labmanuals easier to follow, which provided clear guidance to the students on how and where todocument their experimental and/or simulation results.This demonstrates that our task 1 strategy is successful and implementing lab-specific customized‘datasheets’ are highly effective in providing better guidance to the students. Q3 and Q4 responsesindicate that students subjected to the new lab resources had more clear ideas about the labobjectives and what to do in the lab before coming to the in-person lab sessions. This demonstratesthat our task 2 strategy worked well, which integrated LTspice-based pre-labs that played helpfulrole in preparing the students. Strategically designing pre-labs with LTspice
Conference Session
College Industry Partnerships Division Technical Session 2
Collection
2022 ASEE Annual Conference & Exposition
Authors
Adrian Gentry; Peter Bermel, Purdue University at West Lafayette (COE); Eric Holloway, Purdue University at West Lafayette (COE); Kerrie Douglas, Purdue University at West Lafayette (COE)
programs are needed toprovide students with exposure opportunities to support student motivation in specific areas ofmicroelectronics. Limitations of the study include the limited variance in sample demographics. Datacollection was limited a singular predominately White, large research institution. With the resultsfound, it is unknown how well the scale reflects the motivation and exposure of raciallyminoritized students. However, the items performed strongly with the original instrumentindicating that the factor structure is likely stable. Additionally, the evaluation of the Motivationand Exposure scales is within the context of an introductory design course therefore the difficultyand discrimination parameters should be evaluated with
Conference Session
Remediation and Curricular Changes to Improve Student Learning and Outcomes
Collection
2022 ASEE Annual Conference & Exposition
Authors
Sandie Han; Boyan Kostadinov, New York City College of Technology; Janet Liou-Mark, New York City College of Technology; Johann Thiel, New York City College of Technology
the success of the redesigned courses.IntroductionNew York City College of Technology (City Tech), located in downtown Brooklyn, is anopen access, non-residential, Hispanic-Serving institution. City Tech, one of the twenty-five colleges in the City University of New York system, provides a diverse multiculturallearning environment, reflecting the demographic diversity of the New York metropolitanarea. According to the Fall 2020 institutional data, twenty-nine percent of the students self-identified as Black non-Hispanic, thirty-four percent as Hispanic, twenty percent as Asian, tenpercent as White, two percent as Other and five percent as Non-Resident. The student bodyreported 151 different countries of origin. Sixty-one percent reported
Conference Session
Construction Engineering Division Technical Session 2
Collection
2022 ASEE Annual Conference & Exposition
Authors
Mohamed Elzomor, Florida International University; Piyush Pradhananga; Rubaya Rahat, Florida International University
, 0.472, 0.000, and 0.084respectively. Since the values of Efficacy of 3D printing module, Robotic machine operationskills, Data Preparation Programming skills, and currently working in the construction industryare less than 0.1, it can be concluded that the hypothesis pertaining to the existence of the truerelationship between dependent and independent variables is correct. Thus, the data isstatistically significant. In Table 1, 𝞵1 is the coefficient of the ordered probit model with thevalues -1.19. This value is the threshold that reflects the predicted cumulative probabilities atcovariate values of zero. Based on the obtained results of regression analysis, there is a positivecorrelation between the efficacy of the 3D printing module and
Conference Session
Educational Research and Methods (ERM) Division Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Emma Treadway, Trinity University; Jessica Swenson, University at Buffalo, The State University of New York; Melissa Caserto, University at Buffalo, The State University of New York
.[15] N. Kellam, T. Costantino, J. Walther, and N. Sochacka, “Uncovering the Role of Emotion in Engineering Education within an Integrated Curricular Experience,” in 2011 ASEE Annual Conference & Exposition Proceedings, Vancouver, BC, Jun. 2011, p. 22.1560.1-22.1560.11. doi: 10.18260/1-2--18819.[16] I. M. Gómez-Chacón, “Meta-emotion and Mathematical Modeling Processes in Computerized Environments,” in From beliefs to dynamic affect systems in mathematics education, B. Pepin and B. Roesken-Winter, Eds. Cham: Springer International Publishing, 2015, pp. 201–226. doi: 10.1007/978-3-319-06808-4_10.[17] J. Swenson et al., “Consideration for Scaffolding Open-ended Engineering Problems: Instructor Reflections after
Conference Session
ERM: Lessons Learned from COVID (COVID Part 2)
Collection
2022 ASEE Annual Conference & Exposition
Authors
Eleazar Marquez, The University of Texas Rio Grande Valley; Samuel Garcia, NASA EPDC
; d) sensitivity of circumstances surrounding studentsduring COVID-19. The combination of experiential knowledge, post-course reflection andscholarly literature provided a framework through which the model was modified andimplemented.Modified CIRE Strategy 2For this modified strategy, rather than initiating homework sets during the lecture sessions, asestablished in the CIRE model, step-by-step examples were performed during lecture sessions tostrengthen the intuitive nature of solving technical problems. This procedure was enforced topromote problem solving skills during homework sets, rather than students having to depend onthe faculty instructor to initiate problems repeatedly. The step-by-step examples performed duringclass covered major
Conference Session
Experiential Learning in Mechanics
Collection
2022 ASEE Annual Conference & Exposition
Authors
Eric Davishahl, Whatcom Community College; Lee Singleton; Todd Haskell; Kathryn Rupe, Western Washington University
supportmodels. We plan a future study with think-aloud interviews to explore how individual studentsmake use of the models in their learning effort.AcknowledgementThis material is based upon work supported by the National Science Foundation under grantnumbers DUE #1834425, 1834417 and 2022412. Any opinions, findings, and conclusions orrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe NSF.References[1] P. S. Steif and A. Dollár, "Reinventing the Teaching of Statics," International Journal of Engineering Education, vol. 21, no. 4, pp. 723-729, 2005.[2] A. Dollár and P. S. Steif, "Learning modules for statics," International Journal of Engineering Education, vol. 22, pp. 381-392, 2006.[3] J. Lesko, J
Conference Session
ERM: Lessons Learned from COVID (COVID Part 1)
Collection
2022 ASEE Annual Conference & Exposition
Authors
Diana De La Rosa-Pohl, University of Houston; Catherine Horn
country and has been designated a Hispanic Serving Institution(HSI) by the U.S. Department of Education. Within the fall 2019 cohort of first-time-in-college(FTIC) freshman, 50% of the 5,682 students identified as either African American, Hispanic, ormultiracial (44% for STEM). The UH student body also reflects diversity in student economicstatus. In the fall of 2019, 45% of FTIC students were Pell-eligible. Within STEM, 37% ofEngineering, 39% of NSM, and 52% of Technology students were Pell-eligible. Approximately94% of UH FTIC undergraduate students receive financial aid from federal and state sourceswith an average aid amount of $7,061 per year. The average annual cost of attendance (COA) atUH (tuition + fees) for FTIC in-state students is
Conference Session
Educational Research and Methods (ERM) Division Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Barney Wei, University of Toronto; Mohammadreza Karamsoltani, University of Toronto; RUI ZENG, University of Toronto; Mingyu Zheng, University of Toronto; Hamid Timorabadi, University of Toronto
combination) return the one with the best rating. This rating can be provided by the feedback system in O2. Since users’ ratings can reflect content- relatedness, choosing the best rating will contribute to O3.O4 Maximize compatibility We aim to expand the compatibility to include more types of browsers, like Google Chrome, Safari, Firefox etc.O5 Implement an algorithm that For example, if a user uploads a note file can look into files and break of a lecture 3 that covers two topics
Conference Session
Construction Engineering Division Technical Session 4
Collection
2022 ASEE Annual Conference & Exposition
Authors
Fernando Romero Galvao, University of Massachusetts Amherst; Luciana Debs, Purdue University Programs
graduates.Furthermore, our experience prompts questions about Construction Capstone Courses in generalfor future reflections: First, is what we are teaching in the capstone course enough forconstruction companies? Second, what are the primary skills that the construction companiesare looking for? Third, do our students know how to express their opinions in a meeting, write areport, make a presentation, work in a team, and finally, know about ethics and compliance?Further studies could explore an updated analysis of key competencies (from industry andacademics) used in capstone simulations; and a broad study on construction students' writingand soft skills perceptions and performance. Both studies could help guide improvements ininstruction, specifically at the
Conference Session
Incorporating Technology in the Classroom
Collection
2022 ASEE Annual Conference & Exposition
Authors
John Sanders, California State University, Fullerton; Serop Kelkelian, California State University, Fullerton; Markus Wieser; Guenter Bischof, Joanneum
general, when a tensor of rank r > 1 operates on atensor of rank p < r, the result is a new tensor of rank r − p.The algebraic and geometric approaches are mathematically equivalent in that they yield the samecomputational results and it is straightforward to deduce the transformation rule (1) from thegeometric definition [3]. It is perhaps a reflection of human psychology, then, that the academiccommunity has become so staunchly divided between the two approaches. Indeed, the rift datesback to the formulation of relativity theory. According to Norton [12], In Einstein’s hands, Lorentz covariance was a purely algebraic property. Space and time coordinates were, in effect, variables that transformed according to certain
Conference Session
WIED: Partnering with and Supporting the WIED Community
Collection
2022 ASEE Annual Conference & Exposition
Authors
Carol Marchetti, Rochester Institute of Technology (COE); Margaret Bailey, Rochester Institute of Technology (COE); Iris Rivero; Jessica Bennett; Gloria Blackwell
forpartner schools over Zoom and through occasional site visits from members of the projectleadership team. Each partner institution will develop a dynamic OAP, which will be woven intoour interactive workshops and supported in coaching sessions. A Women of Color (WOC)Council and a DHH Women Council have been established within the project and will provideinput and feedback to inform workshops and materials. Each council has established terms ofreference, a dynamic document created with project leadership that sets expectations andresponsibilities for the council and for project leadership.In future papers, we will report on project activities, outcomes, impacts, and reflections from keyproject personnel.Next StepsThe roll-out plan for the project
Conference Session
Instrumentation Division Technical Session 1
Collection
2022 ASEE Annual Conference & Exposition
Authors
Byul Hur, Texas A&M University; Carter Wheat, Texas A&M University; Zachary Stokes; Keith Fritz; Hunter Street; Xuan Dang; Kevin Myles; Zach Adelman
stored and will be able to answer questions about the water’s clarity and potentialstagnation. The three probes are for measuring temperature, dissolved oxygen content, and pH. Theseproperties reflect the quality and condition of the body of water and are important fordetermining if the water is able to host mosquito breeding. Moreover, for a water samplingpump, a stepper motor is used and it is operated as a part of a peristaltic pump. In order tooperate the pump, additional Arduino Nano is used. For motors, Propdrive 2836 brushless motors were chosen to provide sufficient power to liftthe drone and its payload. This decision on motors is related to the choice of 40A ESCs (ESCElectronic Speed Controllers). Some other peripherals we have on
Conference Session
Minorities in Engineering Division Technical Session 6
Collection
2022 ASEE Annual Conference & Exposition
Authors
Tahir Khan; Denise Whitford, Purdue University at West Lafayette (COE); Lisa Lambert Snodgrass, Purdue University at West Lafayette (COE); Lisa Bosman, Purdue University at West Lafayette (PPI); Sunnie Watson, Purdue University at West Lafayette (COE)
timeframesestablished by the institution. Identifying student progress and outcomes for learning andteaching has long been a source of contention. Outcome-based education models emphasizestudent learning through actions that reflect competencies in the use of skills, content, ideas,information, and tools [18], [20]. This model differed from the traditional model in that it wasmore focused on students than on teaching methods and delivery systems. For example, in anoutcome-based model, teaching methods change dynamically in response to the student's skilland abilities rather than a fixed timeframe and schedule.Competency-based Education (CBE) Model is the next step in this movement [18]. CBE isdefined in a variety of ways by various researchers. Le Wolfe and
Conference Session
Minorities in Engineering Division Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Hongye Liu, University of Illinois at Urbana - Champaign; Deepak Moparthi, University of Illinois at Urbana - Champaign; Lawrence Angrave, University of Illinois at Urbana - Champaign; Jennifer Amos, University of Illinois at Urbana - Champaign; David Dalpiaz, University of Illinois at Urbana - Champaign; Chrysafis Vogiatzis, University of Illinois at Urbana - Champaign; Sujit Varadhan, University of Illinois at Urbana - Champaign; Rebecca Reck, University of Illinois at Urbana - Champaign; Yun Huang
practices, and the status of their knowledge and skills inthis area. Our survey did not receive enough responses from faculty members for such analysisalthough we did reach out through new faculty training and professional meetings and massemail. The authors suggest this lack of interest may reflect the ongoing difficulty of raisingawareness about accessibility concerns among faculty at large. In the future, we plan to developmaterials and example modules to help faculty adopt UDL design principles in their coursesusing practices adapted from [18]. For example, there will be in-built accessibility surveys inLMS to onboard students with university provided accommodations as well as assess the needsof students who may need accommodations but do not
Conference Session
ERM: Instruction and Engagement
Collection
2022 ASEE Annual Conference & Exposition
Authors
Gibrán Sayeg-SÁNchez, Tecnologico de Monterrey (ITESM); Miguel X. Rodriguez-Paz, Tecnologico de Monterrey (ITESM); Cecilia Nuñez, Tecnologico de Monterrey (ITESM)
. Class contents were arranged in Mentimeter as shown in Fig 1, where theoreticaland practical contents were explained by the teacher and rehearsed by students withpractice questions and exercises, anonymously answered by the students.Fig. 1 Screenshots of real time interactive presentation and anonymous collaboration methodologyAs a strategy to trigger class participation, students solved exercises anonymously, sharingtheir answers and reflections with their classmates using the online platform. After eachexercise, teacher provided feedback and anonymous questions were collected, again toencourage students to clarify concepts and solve doubts without feeling intimidated byasking in front of their peers.Moreover, during the content delivery
Conference Session
Minorities in Engineering Division Technical Session 1
Collection
2022 ASEE Annual Conference & Exposition
Authors
Amir Hedayati Mehdiabadi, University of New Mexico; Elizabeth Moschella-Smith, University of New Hampshire; Mala Htun
under Grant No.2000448. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation. ReferencesBerry, A. N., & Yarbrough, J. R. (2019). Online commentary regarding workplace harassment. Journal of Organizational Psychology, 19(6), 107-124.Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.Charmaz, K. (2005). Grounded theory in the 21st century: A qualitative method for advancing social justice research. Handbook of qualitative research, 3, 507-535.Chawla, N., Wong, E. M., & Gabriel
Conference Session
ERM: Persistence and Attrition in Engineering
Collection
2022 ASEE Annual Conference & Exposition
Authors
Cassie Wallwey, The Ohio State University; Giselle Guanes, The Ohio State University; Tyler Milburn, The Ohio State University; Jeremy Grifski, The Ohio State University
undergraduate degree in Computer Engineering at Case Western Reserve University and went on to work for General Electric Transportation as a part of their Edison Engineering Development Program. In 2020, Jeremy completed a Master's in Computer Science and Engineering under Dr. Atiq and is currently completing a PhD in Engineering Education under Dr. Dringenberg. His research interests include exploring ideological beliefs as a reflection of tech culture. In his free time, he enjoys watching hockey, writing about programming languages, and playing video games.Tyler Milburn Tyler Milburn is a PhD Candidate in Ohio State's Engineering Education program. His dissertation research focuses on how student motivation to persist in
Conference Session
First-Year Programs Division Technical Session 14: Introductory Programming Assessment, Plagiarism, Motivation, Engagement, and Textbooks
Collection
2022 ASEE Annual Conference & Exposition
Authors
Breejha Quezada, Purdue Engineering Education; Tamara Moore, Purdue University at West Lafayette (COE); Kerrie Douglas, Purdue University at West Lafayette (COE); Amanda Johnston, California Polytechnic State University, San Luis Obispo; Emily Haluschak, Purdue University at West Lafayette (COE); Gavin Bidna, Purdue University at West Lafayette (COE)
success and increase interestin microelectronics, with potential application for other niche fields. Although the integration ofa novel context in existing course content is an accepted practice in engineering education itwould be interesting to see how this works in FYE programs with fields outside ofmicroelectronics.AcknowledgementsWe acknowledge support from the U.S. Department of Defense [Contract No. W52P1J2093009].Any opinions, findings, and conclusions or recommendations conveyed in this study are those ofthe authors and do not necessarily reflect the views of the Department of Defense.References[1] S. Tzanova, “Microelectronics skill alliance – Need analysis of microelectronics sector,” 2021 12th National Conference with