given thatthe assignment was developed for implementation in either OL or F2F modes. Upon completionof this work-in-progress, there will be additional insights into similarities and differences in howindividuals in teams collaborated to complete the design project under different conditions.This work extends previous research related to theories of team effectiveness [19, 38] and ourresearch agenda. In the future, we plan to analyze end-of-semester WTCS data in conjunctionwith mid-semester Comprehensive Assessment of Team Member Effectiveness (CATME) data.This will allow for a better understanding of the degree to which WTCS and CATME data arecomplementary. For example, such a study may suggest ways of using mid-semester CATMEresponses to
Paper ID #37139Students’ Experiences of Discrimination in EngineeringDoctoral EducationMatthew Bahnson Postdoc in Engineering Education at Penn State with Catherine Berdanier.Elan C HopeDerrick James Satterfield (Graduate Research Assistant) Derrick Satterfield is a doctoral candidate in Engineering Education at the University of Nevada, Reno. His research focuses on engineering graduate students' experiences and motivation centered on career planning and preparation.Anitra Rochelle AlexanderLaila AllamAdam Kirn (Associate Professor) TBD © American Society for Engineering Education
feel success- ful is that I have a plan for my career.” (2020, Yes)3.5. (Q5) My resume or CV is just as impressive as those of my peers. In addition to the previous question, this question is included in order to further mea-sure students’ perceptions of their competence. We included two questions because, a studentcould have an impressive resume without feeling successful or likewise, they could feel success-ful without having an impressive resume. Including both can indicate an overall feeling of com-petence. Figure 9 shows a different view of student’s sense of their competency. When com-paring against their peers, concerns result in more of a uniform distribution across the scale, withover 30% of students
networks, forecasting, and planning of demand & supply would be covered. Thecourse has a strong emphasis on providing analytical skills, critical thinking and managerial insight. Co-requisite: E 243 orEM 365 or BT 221ISE 357 Operations Research I ( 3 - 3 - 0 )This course emphasizes building analytical skills for developing mathematical models for decision-making andoptimization. The course provides an introduction to deterministic operations research (OR) concepts and analysistechniques for mathematical programming and decision making. Basic computers skills (Excel) and knowledge ofstatistics are necessary to solve the problems discussed in the lectures and assigned for homework. The course emphasisis on problem formulation, model building
Answers Have you received any extra help outside of class from any of21E a) Yes b) No c) Not Sure your engineering instructors or graduate teaching assistants? About how many hours outside of class each week do you spend a) Less than 3 b) 3 to 4 c) 5 to 622E studying material in your engineering course? d) More than 6 Based on your experience so far at Binghamton University are23E a) Yes b) No c) Not Sure you still planning on majoring in engineering? Please comment on your experience so far at Binghamton24G University We are
feature, namely that nearly every student started with more than 20lines of code. We noted this was sometimes due to needing to get enough code written tomeaningfully run something, and sometimes due to students starting from example code copiedfrom the book or lecture notes (which was allowed). The IncDev depletion due to this initialjump in LOC usually didn't hurt the student since subsequent runs would replenish IncDev, butnevertheless we may wish to avoid penalizing the first run so much, perhaps having a higherAddedLOC threshold for the first run.Our plan is to introduce the incremental development points later in the term, perhaps after 6 or 8weeks, so as to avoid "stressing out" the students with this extra rule, as they are just starting
Arduino-based kits and the Discord server, proved valuableeven with in-person or hybrid teaching modes. In the future, we plan to continue building on ourcurrent work to explore new ways that students can engage with programming and engineeringpractices regardless of the mode of instruction.VI. AcknowledgementThis work is partially supported by the National Science Foundation under Grant No CNS-2030451and Grant No CNS-2030490.References [1] “Ni elvis,” https://www.ni.com/en-us/shop/hardware/products/ni-elvis.html. [2] G. Recktenwald and D. Hall, “Using arduino as a platform for programming, design and measurement in a freshman engineering course,” in ASEE Annual Conference & Exposition, no. 10.18260/1-2–18720, 2011. [3] W. W. Walter
Figure 5. Figure 5: Rapid output voltageThis graph is very similar to the previous graph, with the only difference being the gap betweenpeak voltages, or the frequency. Both of these tests confirmed that the crank would be suitable forour project. Not to mention the crank we designed would have an even higher output because ofthe increased gear ratio and larger scaling.To test the thermal output of the glove, originally the plan was to use a similar set up to the datacollection described above but utilizing the Sparkfun Redbord’s temperature sensor. However,initial testing led us to believe this wouldn’t be the most accurate result, as the numbers were veryinconsistent across several trials. We suspect this was
problems even though .69(.70) .02(-.13) .08(.20) .39initially no solution is immediately apparent.3. Many problems I face are too complex for me to solve. .66(.69) -.14(-.28) .01(.14) .304. I make decisions and am happy with them later. .63(.60) -.01(-.12) -.17(-.06) .235. When I make plans to solve a problem, I am almost .58(.58) .07(-.06) .10(.2) .35certain that I can make them work.6. Given enough time and effort, I believe I can solve .53(.56) -.08(-.20) .07(.17) .33most problems that confront me.7. When faced with a novel situation I have confidence -.48(-.48) .18(.26) .23(.13) .49that I can handle problems that may arise.8. I trust my ability to solve new and difficult problems. .45
a proximity-based video chat platform launched in May2020. It is a metaverse platform in which the real world, in this case the laboratory, is recreatedin a 2D gamified virtual space. Basic, small-group plans are currently offered for free with theoption of add-ons or more users in a single session for a fee. Users create an avatar which canmove through the space and interact through video chat with other users in close proximity,similar to how you’d talk to someone close by in real life. At any instant in time, users can locateother users in the space, view if they are currently talking to someone else or navigate theiravatar to another person’s location if they desire to speak with them. “Private spaces" can also becreated within the
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
. 1 Introduction Originally planned as an in-person event, this Rural Hispanic-Serving Institutions (HSI)Conference was able to successfully restructure the event to be a virtual three-day meeting inSeptember 2020 when the COVID-19 Pandemic limited travel. The Central Arizona College,Arizona State University, University of Arizona, and Rural College collaboratives hosted thevirtual conference (Noravian, A, 2021). In attendance were approximately thirty rural HSIs andemerging HSIs (eHSIs) from both two-year and four-year institutions. Collectively, thisconference convened 70 participants, and 12 facilitators, speakers, and conference coordinators(Noravian, A, 2021). The audience consisted of
. Preliminary Year 1 data provide insight into the impact of program participation thusfar, including an increase in participant knowledge of identity-inclusive topics, as well as effortand self-efficacy with respect to designing/implementing identity-inclusive initiatives.Future work will incorporate several lessons from this preliminary work, beginning with Cohort2. First, participants desired less pre-program work prior to PD sessions. In response, we plan tomake pre-program work optional, as well as providing time estimates for completion. Tofacilitate richer discussions, the time allocated to breakout groups will be increased, the numberof participants per room will be reduced, and additional structure will be provided duringbreakouts to avoid
compared to the previously published results, that didn’t involve activelearning techniques. For future work, the authors plan to expand on this study and explore moreinnovative ways of using active learning techniques, to improve the quality of learning offered inremote classroom. I prefer remote lectures to in-person 7.50% 22.50% lectures I have found the remote lectures to be comparable to the in-person lectures I would have preferred a in-person lectures to remote lectures If I go back in time, I would defer my enrollment in this class until in-person lectures are resumed 42.50
. Palmer, A. Baranger, E. Gerard, and E. Stone, "Undergraduate research experiences: Impacts and opportunities," Science, vol. 347, no. 6222, p. 1261757, 2015.[5] D. Lopatto, "Exploring the benefits of undergraduate research experiences: The SURE survey," in Creating effective undergraduate research programs in science. New York, NY, US: Teachers College Press, 2008, pp. 112-132.[6] K. Powers, H. Chen, K. Prasad, S. Gilmartin, and S. Sheppard, "Exploring How Engineering Internships and Undergraduate Research Experiences Inform and Influence College Students’ Career Decisions and Future Plans," in Proceedings of the American Society for Engineering Education Annual Conference, June 24-27, 2018. Salt Lake
respective institutions, who play pivotal roles in identifying suitable projects for thestudents interested in the summer exchange internship program. The mentors, who are typically © American Society for Engineering Education, 2022faculty, from participating member institutions have to submit project proposals in the STEMareas that are relevant to the National Aeronautics and Space Administration’s (NASA’s)mission and are aligned with the needs of the future workforce. The student recruitment plantargeting women and members of underrepresented minorities needs to be included. Each projectneeds to include the learning outcomes, timeline, mentoring plan, and expected deliverables. Foreach project, financial support for one to
educational psychology Master's program.Deanna Miranda Barrios Masters In Social WorkLily G. Gossage (Director, Maximizing Engineering Potential) (CaliforniaState Polytechnic University, Pomona) Lily Gossage (Director, Maximizing Engineering Potential: Center for Gender, Diversity & Student Excellence, College of Engineering/Cal Poly Pomona) provides management-level oversight for development, strategic planning, recruitment/retention of minority, women, first-generation, low-income, adult-returning students. She is advisor for American Indian Science & Engineering Society, National Society of Black Engineers, Society of Women Engineers. As a seasoned grant writer, her composition skills help her procure funding for
engineering culture as itexists in industry and academia, as well as explore literature on engineering student retention andattrition. We plan to leverage our framework in the process of connecting ways in which elements ofengineering culture may be acting as perpetuators of engineering’s ‘weed out’ nature by causing studentsto perceive exclusion from the engineering community.By exploring engineering culture literature in parallel with engineering attrition and retention literature,we will be able to apply an organizational culture lens to the challenge of engineering student retention.With this new lens being used to examine a known problem from a new perspective, a new set ofconsiderations and strategies could be at the disposal of higher
, analysis, and specification of a renewable energysystem for a local residential building site. In Fall 2021, two student groups from mechanicalengineering (ME) and computer & electrical engineering (CEE) were introduced to energy loadanalysis and solar system design through presentations and lab activities in appropriate seniorand junior level courses (ME-492 System Dynamics, CEE-315 Power Electronics andRenewable Energy Systems). At the beginning of the semester, students were invited toparticipate in a pre-project survey that was approved by the Institutional Review Board (IRB) atthe University of Wisconsin-Stout. Following the pre-project survey, students were approachedby a “client,” an architect and faculty member, who was planning a new
Paper ID #37665Using Sentiment Analysis to Evaluate First-year EngineeringStudents Teamwork Textual FeedbackAbdulrahman M Alsharif (Graduate Research Assistant)Andrew Katz (Assistant Professor)David B Knight (Associate Professor and Special Assistant to the Dean forStrategic Plan Implementation)Saleh Zayed Alatwah (Data Scientist) © American Society for Engineering Education, 2022 Powered by www.slayte.comUsing Sentiment Analysis to Evaluate First-year Engineering Students' Teamwork Textual FeedbackAbstract Sentiment analysis (SA) is used in multiple disciplines to
13 12Interview of a graduate studentwho is conducting research whilepursuing their Ph.D. 4Applications for and enrollment in the ‘Research Foundations’ programTo participate in the ‘Research Foundations’ program, we asked students to complete an applicationfacilitated through an online survey platform (Qualtrics). Applicants were asked to provide demographicinformation (current major, academic class standing, and gender), to identify whether their summer planswere interrupted by the COVID-19 pandemic and, if so how, and to identify their motivations forparticipating: ‘Why are you applying to be part of this workshop series? Let us know a little about you,your career plans
physicians. The Accounting Review, 57(4), 785–793. http://www.jstor.org/stable/247413[4] Tai, R. H., Qi Liu, C., Maltese, A. V., & Fan, X. (2006). Planning early for careers in science. Science, 312(5777), 1143-1144.[5] Lent, R. W., Brown, S. D., & Hackett, G. (2002) Social cognitive career theory. In D. Brown (Ed.), Career choice and development (4th ed., pp. 255–311). Wiley & Sons.[6] Lent, R. W., Lopez Jr, A. M., Lopez, F. G., & Sheu, H. B. (2008). Social cognitive career theory and the prediction of interests and choice goals in the computing disciplines. Journal of Vocational Behavior, 73(1), 52-62.[7] Driscoll, D. M., Zawojewski, J. S., & Stahura, J. (2008). Learning from first-year
are presented. Lastly, in the conclusion section,we summarize the key findings of the paper along with plans for future work.FGEn Mentoring Program at a Large U.S. University: A Case StudyProgram overviewThis section provides a brief background on the first-generation students at Texas A&MUniversity. Nearly 20% of all undergraduate engineering students at the Texas A&M Universityidentify themselves as FG students. According to Fall 2021 enrollment data, the totalundergraduate engineering population in the university was over 17, 000 students.Table 1: Retention and Graduation rates of FG vs non-FG students over Fall 2013-Fall 2018 Average of cohorts from Fall FG Non- FG 2013 – Fall 2018
, SamanthaBrunhaver, and Adam Kirn for feedback on this study, as well as the members of the StanfordDesign Education Lab (DEL) for their support, ideas, feedback, and community.This work was funded by the National Science Foundation under grant EEC-183076.References[1] K. Powers, H. L. Chen, K. V. Prasad, S. K. Gilmartin, and S. Sheppard, “Exploring How Engineering Internships and Undergraduate Research Experiences Inform and Influence College Students’ Career Decisions and Future Plans,” presented at the 2018 ASEE Annual Conference & Exposition, Jun. 2018.[2] M. Trego, H. L. Chen, K. V. Prasad, and S. D. Sheppard, “Exploring the Relationships between Engineering Internships and Innovation Interests and Likelihood of Accepting a Job
are upper division laboratory courses and capstonedesign taught by engineering instructors. Prior to entering these courses, the writing instruction atypical engineering student would have received was through their university freshman levelEnglish composition courses, or their high school courses if they test out of the university course.In these engineering courses, students are typically required to write large design reports,experimental plans, and technical reports, which are generally not accompanied by any formalcommunication instruction. As a result, students are learning technical communication skills inan ad hoc and implicit manner through practice rather than instruction, with some studentshaving the advantage of additional
Paper ID #36961Exploring the Relationship Between and UndergraduateStudents’ Level of Engagement and Perception of SupportHamidreza Taimoory Engineering education Ph.D. student.David B Knight (Associate Professor and Special Assistant to the Dean forStrategic Plan Implementation)Walter C. Lee (Associate Professor) Dr. Walter C. Lee is an associate professor in the Department of Engineering Education at Virginia Tech, where he also serves as Assistant Director for Research in the Center for the Enhancement of Engineering Diversity (CEED). © American Society for Engineering Education, 2022
timepoint. The study explores questions such as: How does the progress of passed and failed studentsdiffer in these courses? How early can student performance be accurately predicted? Can datacollected from one course be used to predict the performance of students in another course by thesame or a different instructor? Are student journeys through courses unique, or are there patternsthat transcend students and courses?IntroductionEarly detection of at-risk students is vital to fostering and promoting student success, which iscritical to the mission of any higher-education institution. It allows for planning and providingthe appropriate remedial services that students need in a timely manner. It requires the ability topredict student performance
processes, Machine Design, Renewable Energy and Additive Manufacturing. His current research interests include Robotics, CIM, Sustainable Manufacturing, Micro Machining, Additive Machining and Engineering & Technology Education. He has published several papers, in these areas, in various national & international conferences and journals. He has worked in heavy and light manufacturing industries manufacturing pumps, motors, and CNC machine tools in the areas of system design, production planning and control and manufacturing. Edinbarough also served in paramilitary forces and in the Indian Air Force. He is a Life Member of the ISTE, a senior life member of the IE (India), a member of the ASEE & SME, and a licensed
meet client needs and solve difficult business problems. Hackathons can play a critical role inpromoting innovation and have the ability to speed things to market due to their frenetic pace.This type of interaction has many advantages over other types of cooperation. Hackathon-basedcollaboration provides practical learning opportunities for students, gives a spark in innovationand adopts disruptive technologies for industry, helps scholars with professional networking andcareer planning. Here are some examples of businesses that have effectively integratedhackathons into their new product development processes. (Galante, 2015): 1. Hackathons have been a part of the Facebook culture since 2007, with events held at the company's
) (c) Figure 2: Pictures of the CIF (a) gusset plates (b) braces (c) beam-column connectionTraditionally, 2D drawings are used to teach the concept of load path as well to understand thestructural distribution of a building. Plan views and an elevation views are provided to thestudents to analyze the different loads carried by the different structural members in each floorand the cumulative load carried by the columns, as well as the lateral load taken by the braces.This is done by analyzing which type of load is being carried in the different areas of the buildingaccording to the type of occupancy in such areas. Additionally, the students learn how the loadsare distributed and carried by the different structural members. Moreover