-graduation for their career placements and job selection.Data collected will include the following. 1. Scholar demographic data 2. GPA, and PBL course grades. 3. Data on retention within the School, the FLiTE program, and degree attainment. 4. Written scholar reflections, and cohort/small group interaction summaries. 5. Interview notes or transcripts with scholars at key points in their degree progression. 6. Surveys to assess dimensions of entrepreneurism.SustainabilitySustained practices and benefits of the program may be viewed in the three categories. First, theprogram may lead to the establishment of entrepreneurial pedagogy applied to program curriculawithin the host department and at large. Past experience in the areas
Figure 3, some of the surveyed ACCESS studentsfound the Award Ceremonies and Get Together meetings “Very Valuable” or “SomewhatValuable” while others provided “Neutral” responses, which may reflect, at least in some cases,that these students did not participate in these activities, as well as the fact that due to theCOVID-19 restrictions these events were held online. Figure 3. Students’ evaluation of the co-curricular activities and support servicesMentors were assigned to ACCESS scholarship recipients based on student and facultypreferences and interests. Seven faculty who teach cybersecurity classes at LCSEE serve asmentors of ACCESS scholars. Each faculty mentors 3 to 4 ACCESS scholars and meets withstudents at least once each
conditional statementsusing IF. . . THEN structures.” This is perhaps not surprising given that these skills live outside ofthe particulars of Python, which was a new programming language for the majority of students.Skills that were more specific to the precise syntax and language of Python were ranked lower.For example, students expressed the least confidence in the statement “I can manipulatedictionaries to add/remove items, retrieve values,” with only 6 (of 19) students saying theystrongly agree, 11 somewhat agree, and 2 somewhat disagree. The statement “I can manipulatestrings using library methods” received almost identical ratings with 7, 11, 1 student in therespective categories.The survey also provided an opportunity for students to reflect
of the profession - throughmultimedia simulation, role-playing games, case-based learning, and review of other, fictionalizedcases - can give them opportunities to reflect on the need to identify complex situations in futuresettings, as well as a safe environment in which to explore, make mistakes, and discuss theramifications of various decisions in authentic contexts. Ultimately the goal is to better prepareyoung engineers to tackle current and future challenges that have tended to be underemphasizedin traditional engineering curricula.The overall research question for this project is “In what ways can experiential, game-basedapproaches to engineering ethics improve students' ethical reasoning skills?” The authors havedeveloped a suite of
genderor race matching in mentoring does not significantly impact academic outcomes [16]. However,students also indicate the importance of having mentors with whom they share gender or racialidentity [16]. The mentoring constructs examined in this study include maintaining effectivecommunication, aligning expectations, assessing understanding, fostering independence, andpromoting professional development, which might not fully reflect or describe all the constructsthat mentors who mentor racially marginalized students might need to be competent in. Forexample, mentors who are engaged in cross-race and cross-gender mentoring might not alwaysfully understand the racial and gendered experiences of their mentees who are of another raceand/or gender
reflect the views of the National ScienceFoundation.References[1] B. Donovan, D. M. Mateos, J. F. Osborne, and D. J. Bisacco, “Revising the Economic Imperative for US STEM Education,” PLOS Biology. Jan. 2014. [Online]. Available: https://doi.org/10.1371/journal.pbio.1001760[2] M. Smith and L.N. Willison, “Stem Obstacles In The Collegiate Setting,” Journal of STEM Education: Innovations & Research, vol. 22, no. 4. Oct. 2021. [Online]. Available: https://www.jstem.org/jstem/index.php/JSTEM/article/view/2532[3] A. Zilouchian, N. Romance, A. L. Myers, and D. Hamadeh, “A Collaborative Framework to Advance Student Degree Completion in STEM,” 2020 ASEE Virtual Annual Conference Content Access. July 2020.[4
)College-Student identity, or (c) Future-Engineer identity. Next, adapting Kaplan and Garner(2017) coding scheme to reflect our context of low-income college engineering students, scholarresponses were further broken down into the four components of the DSMRI model (1)ontological and epistemological beliefs, (2) purpose and goals, (3) self-perceptions and self-definitions, or (4) perceived-action possibilities. Examples of this coding are shown in Table 2.Table 2. DSMRI example codes from scholar interviews (adapted from Kaplan & Garner, 2017) DSMRI Component Description of Component Example Scholar Statements Ontological & Scholar knowledge and Ontological: “Low-income Epistemological emotion from
first-year studentswho were interested in pursuing mechanical engineering at a research-intensive university inNorth America. The participants are a subset of a sample from our team’s ongoing multi-methods study, which focuses on the curricular messaging about the nature of engineering workin core courses in two disciplines and how these curricular messages align with students’ ownengineering interests and career ambitions. The three interviews were chosen from the larger dataset to reflect a diversity of practices emphasized.The participants included in the present study varied in their interests, pre-college experiences,and self described social identities. Participant 1 identified as a South Asian woman; Participant2 self-identified as a
their chosen study program, and highlight the importance of early courses for success in the later stages of a study program [13]. Our findings indicate that such a model improves the retention and persistence of students in the critical period of adaptation to college life.iii. A strategy to use a cognitive apprentice framework to combine coaching, peer-led team learning, and reflection/self-assessment to boost leadership skills among Hispanic LIATS [14]. The combination of these methodologies enabled the development of leadership competencies among students impacting their emotional intelligence and demonstrated, in later stages of the study, to influence the roles assumed by them when given the opportunity of
the ideas related to career readiness, employability, and life careers [4].According to NACE, career readiness is “a foundation from which to demonstrate requisite corecompetencies that broadly prepare the college educated for success in the workplace and lifelong1 This project is supported by NSF Grant #2000847. Findings, opinions, or recommendationsexpressed are those of the author(s) and do not necessarily reflect the views of the NSF.career management” [4, Para. 1]. Gained through a variety of actions and activities, the eightcareer readiness competencies are: career & self-development; communication; critical thinking;equity & inclusion; leadership; professionalism; teamwork; and technology.These competencies provide a helpful
. Wereceived both positive and negative team stories from the participants. In addition, we found itwas not only the engineering classes, clubs, and teams that seemed to affect the sense ofbelonging, but also where the participants lived. Our preliminary results indicate that students’making experiences, especially in the context of project teams, influence how they feel asengineers. We will continue to explore these themes into the second year of our project.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2204738. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National
REU Site wassuccessful in its goal of providing an inclusive and supportive learning environment forneurodiverse students, suggesting that further research and programming in this area would bebeneficial.AcknowledgementsThis research was a part of a project funded by the National Science Foundation (NSF), Divisionof Engineering Education and Centers under the Award Number 2051074. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation. The authors alsoacknowledge and thank the graduate and faculty mentors for the participants.References1. Sparks RL, Javorsky J, Philips L. College students classified with ADHD
, or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.8. References[1] N. Baumer and J. Frueh, “What is Neurodiversity?,” Harvard Health, 2021. [Online]. Available: https://www.health.harvard.edu/blog/what-is-neurodiversity-202111232645. [Accessed: 15-Dec-2022].[2] S. Comberousse, “A begginer’s guide to neurodiversity,” Learning Disability Today, 2019. [Online]. Available: https://www.learningdabilitytoday.co.uk/abeginners-guide-o- diversity. [Accessed: 15-Dec-2022].[3] E. V. Cole and S. W. Cawthon, “Self-disclosure decisions of university students with learning disabilities,” J. Postsecond. Educ. Disabil., vol
growth in adaptiveness as students progress through their degree program.The first two results of this study [18] are somewhat consistent with those of the previous study [17]. Thediscrepancies stated above may be attributed to the smaller sample size in the second study and will beinvestigated further in subsequent work. It should also be noted that an interview protocol was developedand interviews conducted with low-income students as part of [18]. Preliminary analysis of theseinterviews revealed that different majors at Stevens provide different metacognitive opportunities forstudents within that particular program. Particular reference was made to programming and designactivities that inherently required self-reflection at various points in
can learnfrom that” [Student 23] and another, ”Really nice intro course to data science, made taking theBusiness Intelligence class alongside it more manageable.” [Student 9]. This indicates that thequality of the support for hands-on exercises impacts student learning and interest in DataScience.AcknowledgementThis material is based upon work supported by the National Science Foundation under AwardIUSE 2021287. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation. The authors thank Dr. Kimberly Fluet for her contribution in designing the surveyquestions and collecting/analyzing the survey data. The authors also
groupdiscussion to reflect on the visit. Before the visit, the group was largely unaware of the high-techSTEM careers that existed “behind the scenes” of the heavy manufacturing setting, andmentioned looking forward to sharing the experience with their students.Figure 3. Teachers concluded the summer by presenting their research outcomes, lesson plans,and discussing plans for implementing their research experiences into their classrooms during theacademic school year.Teachers concluded the 6-week summer research experience with a final presentation of theirresearch results, reviewing the lesson plans they had developed, and discussing follow-up plansfor the academic year (Figure 3).Future WorkAt time of writing, the second cohort of teachers are
all.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNumbers 1726306, 1725423, 1725659, 1726047, and 1725785. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation. We would also like toacknowledge the collaborating faculty and students on the project, Dr. Julie Linsey, Dr. TracyHammond, Matthew Runyon, Dr. Vimal Viswanathan, and Dr. Ben Caldwell, for their assistancewith data collection and the development of the software.References[1] E. Odekirk-Hash and J. L. Zachary, “Automated Feedback on Programs Means Students Need Less Help From Teachers,” in ACM SIGCSE
, the purpose of this poster paper is to identify the obstacles that have shaped,at times tacitly, our MCC-UMKC engineering transfer partnership. As Black and Gregersen(2002) noted, the first step toward implementing organizational change is to be able to see a needfor change. When we initiated our KCURE program in 2020, we didn’t see a need for change.This study provided us time to pause and reflect on what we did not earlier see. In Figure 1, wedetail the MCC-UMKC engineering transfer pathway obstacles that indicate the need for change.Figure 1: MCC-UMKC Engineering Transfer Pathway Obstacles Finances MCC Transfer UMKC Uncertainty
-timeFinally, students were queried on their experience and reflections on working within a team toadvance a grand challenge and how the construction of the team affected their experience on theproject. Relevant responses along with percentages are summarized below: 1. Do you think you learned/understood more about the project by working within such a team vs. working alone? Yes, learned/understood more by working within a team (87.5%) No (0%) Maybe (12.5%) 2. How did the multi-disciplinary (4 engineering department) construction of your team affect the research project performance? Positively (87.5%) Negatively (0%) Neutral (12.5%) 3. How did the multi-level (sophomore to senior
their ongoing support of the projectand work in conducting the interviews that provided the data for this paper.This 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] E. Davishahl, T. Haskell and L. Singleton, "Engaging STEM Learners with Hands-on Models to Build Representational Competence," in 127th ASEE Annual Conference and Exposition, Virtual Online, 2020.[2] L. Singleton, E. Davishahl and T. Haskell, "Getting Your Hands Dirty in Integral Calculus," in 127th ASEE Annual Conference and Exposition
fieldof SciTS, including the five domains of team science competencies [4]: 1) building genuinerelationships, 2) team communication, 3) managing team research, 4) collaborative problem-solving and creativity, and 5) leadership.Some of the key topics covered across the workshops included: a) expanding our ability toparticipate in a shared vision, b) understanding the importance of diversity and practicing usingtools for inclusive teamwork, c) enhancing our awareness of developing shared language, d)exploring and practicing collaborative writing, e) drafting team charters, and f) developingguidelines for decision making.We gathered several key takeaways from our workshop reflections: • Being mindful of the value of team members when they are
localarea during the pandemic. Past reflections on the designs from year 1 and year 2 noted the largesize of each final design. As the goal was to make a hand washing station that was portable, theteam was required to modify previous designs so they could fit in the towing trailer used by theTranSCEnD team. Figure 3: TranSCEnD Cohort 3Year 4For the year 4 bridge project, TranSCEnD students were presented with the problem ofdeveloping a way for members of a remote village in Panama to pump water from the middle ofthe river that serves the village. Members of the cohort modified the design of a current seniordesign team in our Civil and Environmental Engineering Department to build a floating dockoutfitted with a pump
, orentrepreneurship, which reflects their interest in pursuing either a career in industry/government, attendinggraduate school, or working with a small business/start-up upon graduation. Unlike Flit-Path, Flit-GAPpathway selections are a collaborative effort coordinated among the three institutions. The collaborationworks on multiple fronts (1) sharing internship opportunities between institutions located in metropolitanareas with a strong presence of industry, government entities, where remote opportunities are enhanced,due to COVID, and expected to continue being enhanced after COVID; (2) offering opportunities to researchpathway students to be co-advised by research mentors located in more than one institution; 3) offeringentrepreneurship pathway
) adversity in the course is common andnormal and b) these struggles tend to be temporary and surmountable with time and effort. It doesso with five parts, delivered in the following order: 1) The instructor verbalizes the normalcy and surmountability of adversity in college and in the course more specifically. 2) Students are asked to complete a writing exercise in which they reflect on the challenges they have already experienced in college and how those challenges might change with time. 3) Students are then presented with stories written in the first-person and attributed to more senior students. These stories are tailored to the classroom environment following focus group input from prior students in the course. The
fivedistinct sections: an introduction to the module, followed by a prior knowledge review, the corecontent, a knowledge check, an application task, and then a reflection activity. For moreinformation about the structure of the learning block modules see [16], [25].Each interview consisted of two engineering scenarios such that participants engaged with a totalof four distinct scenarios. Within each interview the scenarios were presented sequentially.Participants were first shown a problem statement that included information on the background,goal, and requirements for the problem. After reviewing the problem statement, they were askeda series of questions broadly centered around gauging participants initial impressions of theproblem, how they would
shouldexplore the outcomes of women graduate students who benefit from bonding and bridgingcapital provided through S-STEM programs beyond their time in graduate school. While thisstudy investigated women students currently enrolled in a graduate program, a longitudinal studycould help to understand the long-term impact of these programs after degree completion. 7Acknowledgment: This material is based upon work supported by the National ScienceFoundation S-STEM Program under Grant No. 1930451. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the
what modifications are required, through end-of-course/workshop surveysand evaluations. For each of these surveys and evaluations, a standard rubric was prepared andprovided to the participants with consultation with the EAC members to properly reflect theproject activity objectives. These formative and summative measures are listed in Table 2. Table 2. Evaluation plan including formative (F) and summative (S) measures. Activity Description Evaluation Measure Continuous consultation and feedback from (i) New course and laboratory External Advisory Committee (F & S); Early and end-of-term
engineering education research to assess socio-emotional and cognitiveoutcomes. Additional work includes the investigation of epistemic insights gained by participants regardingimplanting AI in the K-12 environment.VI. Acknowledgment and DisclaimerThis material is based upon work supported by the National Science Foundation under Grant No. 2147625.Any opinions, findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.VII. References[1] C. Grant, B.J. MacFadden, P. Antonenko, and V. Perez, “3D Fossils for K-12 Education: A Case Example Using the Giant Extinct Shark Carcharocles Megalodon,” Paleontological Society Papers
understandand interrogate the programmatic barriers to student success in engineering across the nation willalso expand – leading to a cornucopia of previously unexplored questions at scale. AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.BPE- 2152441. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation. References[1] F. Curry and J. DeBoer, “A Systematized Literature Review of the Factors that Predict the Retention of Racially Minoritized Students in STEM Graduate
the transferrable skills course in their resume andprovided examples of how they had demonstrated skill attainment: “I'm looking for a job rightnow, and I was able to list that as I was trained. It’s been extremely helpful.” Another Cohort 1student commented that the transferable skills and the interdisciplinary aspect of the NRT hadprompted a conversation in which a potential employer emphasized the need for such skills:“He's just like ‘that's really major right now that you already understand trying to connect withother people from different backgrounds and different perspectives to work together to try to getsomething done’.” When Cohort 1 students were prompted to reflect on what additional supportsto promote development in inter