cost to the project.Students had the option to utilize a tablet as each student was provided one upon admittance tothe University of Kentucky. To do this, the MATLAB Mobile App must be downloaded on thesmartphone or tablet. Through the app, the camera can be controlled by a MATLAB script on alaptop to take images, process images, and return outputs to be utilized by other subsystems ofthe project. The greatest advantage to this is student access to these cameras is typically high,especially for tablets that are provided by the university to all students. A concern with utilizinga tablet or smartphone is that student teams needed to plan accordingly for integrating the camerawithin the design since students use these devices regularly
://www.researchgate.net/publication/228378064[12] Michael J. Fernandez, Julie Martin Trenor, Katherine S. Zerda, and Cassandra Cortes3, “First Generation College Students in Engineering: A Qualitative Investigation of Barriers to Academic Plans,” in 38th ASEE/IEEE Frontiers in Education Conference, IEEE, 2008.[13] J. P. Martin, S. K. Stefl, L. W. Cain, and A. L. Pfirman, “Understanding first-generation undergraduate engineering students’ entry and persistence through social capital theory,” Int J STEM Educ, vol. 7, no. 1, Dec. 2020, doi: 10.1186/s40594-020-00237-0.[14] Dina Verdín and Allison Godwin, “First in the Family: A Comparison of First-Generation and Non-First-Generation Engineering College Students,” in Frontiers in
the approach of building out approximately 8 plug-and-play pre-planned hybrid instruction modules intended for use by FYS instructors, which should aid insolidifying participant’s views regarding the consistency and – ideally – the efficacy of theprogram, including in existing areas of deficiency such as presenting holistically informationabout engineering careers. That development work is ongoing, with a program re-evaluationplanned upon the completion of that work to assess its efficacy. It is expected that those updatedevaluation results will be further disseminated with an eye towards providing a useful model forother similarly situated institutions, partly with an eye towards mitigating some of the challengesinherent to the
phases with the first focusing on research, user needs, andmarket character. Students were tasked with brainstorming and selecting a problem relating totheir theme to base their design project on. Students developed a research plan, end user needs,market character, and sketches of their prototype. The second phase of the project was focusedon the preliminary design. Students began writing their Conference paper addressing theproblem, end users/stakeholders, social and economic value, methodology, research results,discussions, and conclusions. They also were tasked in providing a visualization of theirproposed prototype utilizing SolidWorks. The last phase of the project concentrated on thedetailed design relating to prototyping, verification
, and their plan for communityengagement.Data collection and analysisData were collected following institutional review board approval of our study protocol andinformed consent was collected from students. We collected team deliverables as well asdistributed a survey at the end of the design challenge intended to understand the agency studentsexperienced during the challenge [29], [30].To understand how students framed the problem of acid mine drainage, we inductively coded thepotential solutions to acid mine drainage proposed during the ideation phase deliverable of thechallenge [31]. Table 1 shows the categories and examples within those categories. Weconducted a chi square test of difference to determine if the number of suggestions varied
, allowing students to see the importance andrelevance. With first year students, assigning roles and including pre-work is suggested. Thisallows time for the students to explore the history and any other relevant character informationprior to roleplay participation. The next iteration of the empathy modules planned for Fall 2024will include more practical engineering example roleplays and less time talking about the skills,taking a more active approach. As evident from the increased strength of this relationship it does appear that students areexperiencing a shift in the way that they think about themselves as empathetic people andengineers. Given the inclusion of specific lesson days devoted to the topic, this is likely to haveplayed a major
engineering/computing identity and belongingness as thePilot courses become more established and refined. We also plan to investigate the impact of thecourses on retention within engineering and computing.AcknowledgmentThe authors would like to acknowledge Alison Lapointe of the Discovery Center for Evaluation,Research, and Professional Learning at Miami University for assistance with survey generationand data processing.References[1] National Academies of Sciences, Engineering, and Medicine, “Barriers and opportunities for2-year and 4-year STEM degrees: Systemic change to support students’ diverse pathways,”Washington, DC: The National Academies Press, 2016.[2] President’s Council of Advisors on Science and Technology, “Engage to excel: producing
her, however I wish she contributing enough but that is also because started on it earlier so we had time to account I am assigned the bare minimum.” for outside errors. She communicates well with the rest of the team.” Student C to Student A, “Communicates with the team and helps the team with electrical plans. Something she needs to work on is being more efficient in completing her tasks and managing her time more
Strongly Strongly Disagree (2) nor Disagree Agree (4) Disagree (1) Agree (5) (3) I am confident that I could learn advanced computer programming. o o o o o (1) I am willing to take more than the required amount of computer o o o o o programming. (2) I plan to take as much computer programming as I
building strong survey instruments with good questions [19].ConclusionThe sorting experiment was planned as a single round procedure to identify appropriate surveystatements for the sub-constructs of engineering self-concept. But the confounded interpretationsof perceived competence and self-efficacy among the SMEs resulted in a re-sort with a subset ofthe initial sample of survey statements. Strong agreement was found for academic self-description, engineering intrinsic value, belonging, and perceived competence through theexperiment, helping the researchers to establish survey statements for those respective sub-constructs. However, only a single statement for self-efficacy was identified within the currentsample.Future DirectionsFuture
systematic procedures. Itrequires cultivating ethical values, honing creative skills in engineering, working collaborativelyand iteratively, and solving complex problems in a multidisciplinary environment. TheAccreditation Board of Engineering and Technology (ABET) formally acknowledged theimportance of these notions in their most recent requirements - (students’ outcome 5): “an abilityto function effectively on a team whose members together provide leadership, create acollaborative and inclusive environment, establish goals, plan tasks, and meet objectives.”Project-based teamwork is particularly crucial in a first-year engineering design course. Anexperiential learning environment promotes acquiring essential skills and abilities that will beused
assignments.I was confident that our team produced acceptable solutions to course assignments. PotencyThis team helped me accomplish my individual goals for this course. Goal SettingMy team used clear, long-term goals to complete tasks. Goal SettingMy team reflected upon its goals in order to plan for future work. Goal SettingMy team made use of incremental goals (i.e., we set short-term goals) in order to complete Goal Settingcourse assignments on time.My team made use of incremental goals (i.e., we set short-term goals) in order to complete Goal Settingcourse assignments on time.Our team did not function well as a team; we
district and is in the process of creating a mentorship program to help high school students transition to university. His research interests include first-year university students’ experience, high school students’ transition to university, peer-to-peer mentorship, and student support networks.Ms. Sarah Huizar, University of Texas at El Paso Sarah Huizar is a Program Manager for UTEP’s Center for Research in Engineering and Technology Education (CREATE). She develops, implements, and manages a wide range of activities through the center’s STEMShine grant. She specializes in mentorship, essential skills building for freshman engineering students, project planning, community building through eSports, writing and design.Dr
2nd year;limited first-year engineering courses thus reducing COE engagement, lack of knowledge aboutthe broad range of engineering disciplines available in COE, and finally difficulties intransferring between majors within COE. It is important to point out that while improving thenumbers (to meet the University’s goals) was important, the committee was focused on makingrecommendations to holistically change the first-year student experience. To respond to thesechallenges, the college leadership team developed a three Phase curricular revision plan: • Phase I: move from pro-school to a continuous progression model; pro-school was phased out in AY19. • Phase II: develop a First Year Engineering Experience (FYEE) directed at
isprovided in Appendix A. Multiple choice questions pertaining to university-wide events andresources were also included in the survey but not analyzed or included in the results. In additionto the question foci provided above, several free-response questions were included related to howstudents heard about events, their plans to continue pursuing a degree in the college, and anopen-ended question for additional feedback. The free-response questions were not included inour analysis.Data AnalysisTo evaluate the two research questions outlined previously, responses obtained from first-timefreshmen in 2021 (N=341) and 2022 (N=240) were compared as well as responses obtained fromtransfer students (N=94) and first-time freshmen (N=581) across both cohort
design. aspects of the project. direction. This helped create a It gave us a more clear It helped us organize structure and obtain plan our thoughts for the clarity on the purpose milestone presentations of our project. and how we
to other passive teammates. Some teamswith mix-gendered teammates were found to have unequal work distribution with men doingmore technical work, while women were doing more work related to communication or planning[3]. Thus, in order to ensure students are able to enjoy the benefits of TBL, teamwork assessmentand support tools such as CATME or Tandem can be used to monitor the students’ performancesand notice any changes within the team [4]–[7]. By using teamwork assessment and support tools, learning analytics can be performed tooptimize students’ learning experiences. The large amount of data collected by the teamworkassessment and support tools provide an opportunity for researchers and instructors to detectvarious changes and
Education (CoED) divisions, and with the Ad Hoc Committee on Interdivisional Cooperation, Interdivisional Town Hall Planning Commit- tee, ASEE Active, and the Committee on Diversity, Equity, and Inclusion. Estell has received multiple ASEE Annual Conference Best Paper awards from the Computers in Education, First-Year Programs, and Design in Engineering Education Divisions. He has also been recognized by ASEE as the recipient of the 2005 Merl K. Miller Award and by the Kern Entrepreneurial Engineering Network (KEEN) with the 2018 ASEE Best Card Award. Estell received the First-Year Programs Division’s Distinguished Service Award in 2019. Estell currently serves as an ABET Commissioner and as a member on ABET’s
consistently lower than thosereported by default. Such discrepancy could be capturing the plethora of other factors that areknown to influence engineering identity and sense of belonging [17].Finally, our analysis is only descriptive and not causal in nature. We plan to implementalternative methods to explore the potential of causality, as well as dive deeper into thedescriptions of students’ experiences in the course through qualitative interviews. Other futureanalysis of this data will include a breakdown of these trends by subgroups, paying specialattention to those with marginalized identities. While sample sizes are limited at this point, thesurvey remains open to strengthen such numbers.ConclusionIn this study we conducted a retrospective
1.315and 3.7 (average=2.77); two students withdrew. After one semester, nine of the students are stillenrolled in their original major. One of the ten students did not return.9. Implications and Future WorkLooking ahead, we aim to integrate this course into the standard first-semester curriculum acrossthe involved engineering departments. This goal will require careful coordination and facultysupport to ensure curriculum alignment among the three programs and foster a collaborativeteaching environment. For summer 2024, plans are underway to host two course sessions,expand faculty participation in teaching the course, and recruit incoming sophomores. Based oninitial feedback, we are refining some aspects of the curricular activities to enhance
. Porter and M. Kilbridge, Eds., Cambridge, MA: MIT Laboratory of Architecture and Planning, 1978, pp. 551–660.[7] S. Dinham, “Research on Instruction in the Architecture Studio: Theoretical Conceptualizations, Research Problems, and Examples,” presented at the Annual Meeting of the Mid-America College Art Association, 1987.[8] NCTQ, “Classroom Management.” National Council on Teacher Quality, 2020. [Online]. Available: https://www.nctq.org/review/standard/Classroom-Management[9] B. M. Dewsbury, “Deep teaching in a college STEM classroom,” Cult. Stud. Sci. Educ., vol. 15, no. 1, pp. 169–191, Mar. 2020, doi: 10.1007/s11422-018-9891-z.[10] A. Thompson, B. Sattler, and J. Turns, “Understanding a studio environment: A complex
amounted to 1,634. The collected sample was divided intotwo halves to facilitate both exploratory factor analysis (EFA) and confirmatory factor analysis(CFA). This division was planned to ensure that the demographic characteristics, including classsize, gender, and others, were evenly distributed across both subsets. This approach,recommended by DeVellis, serves a dual purpose: EFA allows for the identification andexploration of underlying factor structures without preconceived hypotheses, while CFA is usedto test and confirm the factor structure suggested by EFA. Splitting the data in this mannerprovides a robust methodology for validating the scale's construct validity, ensuring that theanalysis is both comprehensive and reliable [28]. In Step 7