. 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
a straight A student and she said I'm good at everything, but I don't really have a passion or anything and we started talking about you know her art and her interest in math and science and her abilities in it and engineering was one of the things that we talked about and she agreed to take the classAnn also reported that her conversations with students often began with connections to studentinterest, and would begin with broad connections to STEM fields and then narrow toengineering, saying she starts with “what are your career plans for the future, and we'll guidethem and we might make some changes.”Another theme that emerged was an evolution in their thinking of the field of engineering thatwas reported by both
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
objective and the summary of the lab processes and significantresults. The laboratory experiment demonstrated the steps and materials required to successfully construct and use binary adder and subtractor circuits. The observations and calculations made in the laboratory experiment demonstrated that both manual and circuit addition and subtraction are effective and accurate when it comes to adding and subtracting 4-bit binary numbers. The laboratory experiment showed that circuits can be utilized to simplify and decrease the time needed to perform each individual binary addition and subtraction calculation. The experiment went as planned except for an issue encountered with the construction of the
companies havesignificantly transformed how students study and learn in online, hybrid, or onsite environments[3]. Online learning environments have both advantages and disadvantages. A significantchallenge is how proper assessments can be conducted fairly. Academic practice is affectedsignificantly by the symbiotic relationship between the increasing number of onlineexaminations and contract cheating services. For instance, controlling the online assessmentenvironment is more challenging than controlling the onsite one. Cheating in a remotelyproctored online testing (RPOT) environment is a planned undertaking rather than panic cheatingbecause students complete their exams in isolation in their comfort zone [4]. Cheating is aided bythe rapid
% Fall 2022 December 2022 6 8 75%Each fall, after closing the survey, the evaluator downloaded response data from Qualtrics surveysoftware to Microsoft Excel and analyzed them. To improve validity of the analysis, and tosupport planning and decision-making for the course and the NRT program, results werediscussed during a co-interpretive session with NRT program leaders [17]. Noticeable from theannual review sessions is that responses changed little from year to year. For this paper,quantitative data analysis involved aggregating survey responses from four cohorts and thendepicting totals in bar graphs and tables to allow for comparisons.To gain insight into how students were building skills
-0.6 D2 369 4.92 1.47 -0.6 -0.55 D3 373 5.03 1.5 -0.63 -0.41 E1 375 4.9 1.76 -0.41 -0.89 E2 374 3.46 1.6 0.48 -0.43 E3 375 3.77 1.66 0.25 -0.81We initially conducted a model containing the five factors and all planned items. However oneitem (E4) had inadmissible negative variance [35], and so we removed it and respecified themodel.We examined goodness of fit indices, comparing a one-factor model to the theoretically-derivedfive-factor model. The fit indices are found in table 3. A significant χ2 indicates
throughtheir education. This research recommends best practices, including the reimaging of coursecurricula to intentionally scaffold the learning and practicing of communication as a professionalskill into coursework and other co-curricular and extra-curricular experiences. Communicationskills must be holistically learned and practiced as part of student preparation, and not solely as aone-time course requirement to be completed because it is part of the student's plan of study.Specifically, students engaged in learning oral and written communication skills must do sowithin engineering contexts (i.e., problems, challenges, and research opportunities). By engagingcommunication within engineering contexts, students will learn about their own
concepts learned in the classroom, provide an enhancedlearning experience to the students, and improve their competency level. Hardware and softwaredesign, details of the lab exercises, and future improvement plans are presented.Introduction:Transition to renewable energy has become more important over the last few decades due to thegrowing concern over climate change, depleting fossil fuel reserves, and the rising energy demand.Solar photovoltaics (PV) has emerged as one of the most promising and widely used renewableenergy sources, and its share in the electrical energy production market is increasing at a rapidpace. Photovoltaics (PV) has experienced significant growth in the U.S. over the past decade.According to the Solar Energy Industries
a new hire? Is a joint appointment feasible? These are all context-dependentquestions to answer to determine how to begin and build a partnership.Think in the long termThe kind of integrated collaboration we’ve built here did not happen overnight–it took some timeto build and requires continued support. The materials science program is committed tocontinuing this partnership for the long term, and currently, they are working to move beyond ayear-to-year memorandum of understanding between departments/colleges and towardsomething more sustainable. Programs should consider the long term when determiningapproaches and plan ways to ensure the partnership is able to be sustained over time.People who learn togetherAnother recommendation is to
of Engineering. This paperpresents the first-year development, implementation, and outcomes of the program with plans forfuture program improvement.First-Year Implementation of the S-SMART Summer Research Internship ProgramIn 2022, the S-SMART Summer Research Internship Program was piloted with a cohort of tenstudents participating in four research projects across three engineering disciplines - civilengineering, computer engineering, and mechanical engineering. Each project team wassupervised by at least one faculty advisor and one SFSU student peer mentor.Recruitment and Selection of Program ParticipantsThe S-SMART interns were selected through an online application process. The applicationform, created on Qualtrics, asked for information
) - sometimes communication or having clearly understood project requirements can be a larger challenge. Questions and input from industry can help highlight this and give students different perspectives.” “Students can get a better understanding of what it actually possible, when their ideas are a bit too far fetched for what can be accomplished with the tools and resources available to the students. They can also learn more about the design process from those in industry that have worked on large scale product designs and launches.” “Students can benefit from hearing the point-of-view of current professionals on their designs and plans. Hearing the advice of those now outside of the academic side helps
Understanding Problem Solving using Multiple Solution Methods Hao Li (WL11@mit.edu) and A. E. Hosoi (peko@mit.edu) Department of Mechanical Engineering Massachusetts Institute of TechnologyBackgroundOne of the key challenges of Engineering Education is developing students’ ability to navigateand solve moderately- or ill-structured problems with multiple solution paths. Existingtheoretical and conceptual frameworks can provide a basis for understanding this challenge. Theframework of self-regulated learning can be applied to problem solving. In self-regulatedlearning, the problem solver (or learner) first plans, sets goals, and lays out strategies
and Three are accomplished through introduction ofstudents to the basic foundational concepts and skills in the four-degree programs and byinvestigating course plans for the various majors and traditional careers within the disciplines.The gateway course learning outcomes are presented below: 1. Develop an academic pathway for success in the student's selected major. 2. Select appropriate strategies and technologies to solve technical problems. 3. Apply foundational principles and tools of electrical, industrial, manufacturing, and mechanical engineering technology to address technical problems. 4. Apply computational tools to address technical problems. 5. Work in a team to solve an engineering technology problem. 6
beneficial as it allows designers to meet requiredstandards and provide specifications for other departments when creating the given product. In theengineering stage, PLM should be implemented as early as possible in the creativity and designtasks leveraging marketing data [11]. The design, analysis, and testing cycle often iterates multipletimes before final approval. Ideally, design and development engineers should interact with theproduct information to properly capture the products operational space and features [1]. Rememberthat PLM systems support the changes and updates that occur during the planning and designphases, and allows them to build upon older successful designs as well as revert back to previousreleases. This rapid flexibility
paved and other impervious surfaces that prevent water from enteringthe soil. Each member of the team becomes an expert on one type of land use, investigating thesources of nutrients and the most effective strategies for managing them. Teams then worktogether to optimize their plans for the entire watershed, encompassing all types of land uses,negotiating tradeoffs, as needed, to optimize management strategies for overall effectiveness.MethodsWe piloted the curriculum in classrooms from May–June 2022. The pilot teachers were theteacher who had advised on the curriculum and her co-teacher who taught the same subject andgrade within the school. The school where the curriculum was piloted is located in a rural regionof the country that is directly
had acomplete program experience without a COVID-19 disruption. Moreover, each cohort has beenaffected differently and at different points in the Endeavour Program. Endeavour S-STEM wasdesigned to be an engagement-focused program and was severely limited in how it could engagewith its students. The disruptions have made the originally planned engagement study infeasible.However, COVID-19 was not the only obstacle in collecting engagement data. Initially,engagement data for two of the engagement dimensions (cognitive and affective) were to becollected through a validated survey. However, after conducting the survey multiple times in thefirst two years it was felt that the initial data failed to capture the high levels of engagement thatthe
collection, anexploratory factor analysis of the two pilot surveys. Additionally, we are developing a usermanual for this questionnaire, which we plan to disseminate in Year 3. In Year 3, we willconduct a full administration of this survey beside multiple previously published measuresincluding mental health distress symptoms [25], intention to persist [26], and potentially otherconstructs such as engineering culture, quality of life, and quality of social relationships.Analysis of Year 3 data will provide further, confirmatory validity evidence and establish thecorrelative or predictive power of measuring the stressors found in the SDSQ-E with relatedtopics.AcknowledgmentsThis material is based upon work supported by the National Science Foundation
, earned her PhD in Biological Sciences from Stanford University, and did a postdoctoral fellowship at Cornell University. She was faculty at North Carolina State University for seven years before joining the University of Oregon. Dr. Singh’s research focuses on evolutionary genetics and uses Drosophila melanogaster as a model system.Elizabeth A. Wentz, Arizona State University Dr. Elizabeth A. Wentz is the Vice Provost and Dean of the Graduate College and Professor in the School of Geographical Sciences and Urban Planning at Arizona State University. She earned her PhD in Geography from the Pennsylvania State University and MA and BS from the Ohio State University. Her research focuses on geospatial technologies in