between the power supply and other components was difficult to understand. 3. What was the most helpful thing about the wiring module? The most common responses were the opportunity to practice and the ability to visualize the wiring. 4. How could the wiring module be improved? One student said it would be helpful to see the wiring colors separately.Future work. Planned improvements include (1) provide explanatory information about why thewiring needs to be a certain way; (2) adding a sequence number to each wire; (3) showing theinterface steps in a to do list; (4) eliminating each step as it is completed, (5) adding a videoshowing an someone interfacing a physical module, sensors, and relay, and (6) adding real-lifevideo of the
four core concepts [3] and another into nine core concepts [14]. They alsohad access to a variety of computational thinking lesson plan ideas for consideration [15], [16],[17], [18], [19]. Ultimately, through discussion and interaction with each other as well as theprofessor of science education supporting the curriculum work, the teachers selected the 4-partskill frame proposed by Sheldon [3]: algorithmic thinking, decomposition, abstraction, patternrecognition. They then used that framing of computational thinking to explore how best tointegrate into their various classes. ResultsPrior Experiences and Goals for Themselves Pre-Project Prior to beginning their RET-big data experience, the
Activity.Figure 7. Volunteer and Participant Interaction During the Soft Robotics Activity.Conclusion & Recommendation for Further StudyThis type of community based-event draws a very young group of children (58% K-3). For veryyoung students to complete the activity independently, some modifications were necessary. Thethreading task proved to be the most difficult part of the activity as the small holes requiredstudents to use greater force for threading. To eliminate this bottleneck, we plan to create largerthreading holes for the students. Additionally, a rig or clip to provide students with an extra “setof hands” may help with the zip-tying step where participants were often seeking a helper. If thisactivity were to be implemented for educational
technological efficacy among underserved and underrepresented student populationsin higher education." Interdisciplinary Journal of e-Skills and Lifelong Learning 16 (2020): 93-121.[8] A. G. Marshall, et al. "The importance of mentors and how to handle more than one mentor."Pathogens and Disease 80.1 (2022): ftac011.[9] L. Andersen, and T. J. Ward. "Expectancy‐value models for the STEM persistence plans ofninth‐grade, high‐ability students: A comparison between Black, Hispanic, and White students."Science Education 98.2 (2014): 216-242.[10] J. E. L. Shin, S. R. Levy, and B. London. "Effects of role model exposure on STEM andnon‐STEM student engagement." Journal of Applied Social Psychology 46.7 (2016): 410-427.[11] Z. S. Wilson, et al. "Hierarchical
college”, and often struggle to create education plans [2]. Others, still, have sharedthe negative impacts that first-generation college students face based on having lower income,being under-represented, and lesser prepared [3]. While attending middle and high school, manypotential future first-generation college students lack an awareness that college is a viable path.For those that are aware of higher education, it is often seen as an expensive option or one thatisn’t possible based on current academic success since low-income and under-representedstudents are also statistically more likely to be below grade-level standards.Once in college, low-income students spend additional time and resources seeking scholarshipsand/or working in what are
participated in the Fall 2022 Leadership Community of Practice atCalifornia State University, Los Angeles, a VHHE HSI. Fellows shared learning about hiddenmenus, leadership identities, and oppressive practices that could shift and change between theirprevious and new roles as faculty and chairs. Our future work in this area will continue toadvance research in the development of mental models towards supportive educationalecosystems. We also plan to share our results with others through workshops and conversationwith colleagues across the country. We hope to create a culturally responsive learning andworking environment for both students and faculty that focuses on making teaching and learningrewarding and fulfilling experiences. We want to emphasize
’ career plans and development. A mentorshipecosystem is what students need to thrive in academia. All these influential guides can providementees with increased self-efficacy levels in STEM and entrance into a realistic pathway toaccomplish their academic engineering goals.Consequentially, the structural design of mentoring processes and implementation do not gowithout imperceptibly unknowns. In pairing, there are seldomly suitable identifiable matchesbased on social and cultural identities. This sociocultural factor inevitably provides salientconnections and psychosocial support, helps strengthen STEM identity, commitment, and overallguide the mentee’s interpersonal development [36-40]. However, the correlation of thissociocultural
Leadership Portfolios. 2019 ASEE Annual Conference & Exposition Proceedings. https://doi.org/10.18260/1-2--33088[4] Jamieson, M., & Shaw, J. (n.d.). A continual improvement process for teaching leadership and innovation within a community of Practice. 2019 ASEE Annual Conference & Exposition Proceedings. https://doi.org/10.18260/1-2--31950[5] Higgs, C. F., Karwowski, K., Van Kleeck, D., Phalen, T., Moran, G., Wright, C., & Hennessy, J. (n.d.). The challenges of developing engineering management and leadership curriculum for Students Planning Ripe Careers. 2019 ASEE Annual Conference & Exposition Proceedings. https://doi.org/10.18260/1-2--33375[6] Melvin, E., Bowles, B., & Steele, A. (n.d.). Fostering a
.[16] Stockarda, J., Celeste M., Rohlfing, C. M., Richmond, G. L., Equity For Women AndUnderrepresented Minorities In STEM: Graduate Experiences And Career Plans In Chemistry.PNAS 2021 Vol. 118 No. 4 e2020508118. https://doi.org/10.1073/pnas.2020508118[17] Whitcomb, K. M., Singh, C., Underrepresented Minority Students Receive Lower GradesAnd Have Higher Rates Of Attrition Across STEM Disciplines: A Sign Of Inequity?,International Journal of Science Education, (2021) 43:7, 1054-1089, DOI:10.1080/09500693.2021.1900623[18] Pfund, C., Byars-Winston, A., Branchaw, J., Hurtado, S., Eagan, K., Defining Attributes andMetrics of Effective Research Mentoring Relationships. AIDS Behav. 2016 September ;20(Suppl 2): 238–248. doi:10.1007/s10461-016-1384-z
]. Natural LanguageProcessing (NLP) uses machine learning methods like transformer-based machine learningmodels [7], [8], which can be used through fine-tuning or in-context learning methods. NLP canbe used to train algorithms that can automate the coding of written responses. Only a few studiesfor educational applications have leveraged transformer-based machine learning models, furtherprompting an investigation into its use in STEM education. However, since language analysis ischallenging to automate because of its complexity, NLP has been criticized for increasing thepossibility of perpetuating and amplifying harmful stereotypes and implicit biases [9], [10].This study details preliminary results to plan for using NLP for linguistic justice
lecture. Additionally, the plan is to present this work as aworkshop at Lilly Conferences, which provides opportunities for the presentation of scholarshipof teaching and learning. With more historical background, this work could showcase thedevelopment within fluid mechanics against the backdrop of scientific progress.In April 2015, the University Faculty Senate at the Pennsylvania State University approved anew requirement for Integrative Studies within the General Education program. Theimplementation details for this requirement were approved in March 2016 and apply to studentswho started at the Pennsylvania State University during or after the summer of 2018. TheIntegrative Studies requirement offers two pathways for students to fulfill it
addressed, andstudents were encouraged to escalate them to campus faculty resource centers if necessary.The course was structured into approachable modules, with shorter textbooks matched to thesequencing. The course started with an introduction to robot basics including sensing, actuation,planning, and control [16]. The course progressed into programming and architectures includingreactive control, deliberative control, and hybrid architectures [17]. Lastly, project work exploredtopics such as robot operating systems (ROS) [18], [19], robotic simulators [20], and cloudrobotics [21].Overall, the proposed solution emphasizes the importance of designing inclusive practices thatprovide multiple means of engagement, while setting clear expectations and
, etc. [10, 11,12]. Teacher preparation is advocated as a vital avenue to provide a sustainable professionalexperience that will, in turn, reach many at the school level [13]. Part of the role of education isto improve skills in decision-making, critical thinking, and problem solving. Lecture and theorybased teaching methods deny success to those who learn through experience. Therefore,opportunities that provides a learner a chance to make mistakes and receive immediate feedbackthat AI brings affords is a welcome to education [8,15].MethodA three-year plan to study the impact of the AI computer vision workshops for teachers isunderway. The first two years have been completed and are being reported in this paper. Yearthree will be conducted
received a master’s degree in Technology and Engineering from Iowa State University and bachelor’s of science in Manufacturing Systems from North Carolina A&T State Univer- sity. Dr. Johnson is currently serves as the President of Women in Technology, Management, and Applied Technology (WITMAE) and secretary of the National Transportation Review Board. Dr. Johnson has publications in both national peer-reviewed journals involving aviation and technology education.Dr. Willie L. Brown Jr., University of Maryland Eastern Shore Dr. Willie L. Brown, Jr. is the Interim Vice Provost for Institutional Planning and Quality; and an Associate Professor of Engineering and Aviation Sciences at the University of Maryland Eastern
not aware of the specificregulations at airports, and aviation management or airport planning students were able to identifythose problems. The graduate students experienced that teams with diverse educationalbackground attacked the problem from diverse perspectives. This facilitated in achieving anoptimal solution to the problem.By working with team members with diverse educational background and experiences, thegraduate students learned different work styles, approaches, attitudes, and ethics. For example, thegraduate students experienced that team members with engineering backgrounds strived for bestresults and settled for most optimal work possible, whereas members with managementbackgrounds were focused on effective task completion and
youngwomen? Did a higher percentage of young women from the cohort pursue an Engineering or Technologydegree in their undergraduate program?Other instruments will be evaluated that could be used with the STEM semantics survey to improve theaccuracy of the measurements. For example, the researchers plan to track the enrollment of the cohort inProject Lead the Way program at school that could be a short term predictor of STEM interest.References[1] National Center for Science and Engineering Statistics (NCSES). 2019 . Women, minorities, andpersons with disabilities in science and engineering. Tables 1-1, 5-2, Alexandria, VA: National ScienceFoundation. Available at [https://ncses.nsf.gov/pubs/nsf21321/data-tables#].[2] Women in Science, Technology
. One prevalentobstacle is their social capital deficit. According to Lin, social capital is defined as “theinvestment in social relations with expected returns in the marketplace” (p.19, 2001). This socialcapital deficit can appear for undergraduate engineering students in the following ways: (a) lackof access to social supports for career planning, (b) lack of awareness or comfortability withseeking support from university resources including faculty and career centers, and (c) lack offamilial emotional support for their career path (Martin, Millers & Simmons, 2014). This socialcapital deficit can result in degree completion failure, underemployment, and lower lifetimeearnings. Providing the students with explicit instruction on
O. Barambones, "A Multidisciplinary PBL Approach for Teaching Industrial Informatics and Robotics in Engineering," IEEE Transactions on Education, vol. 61, no. 1, pp. 21-28, 2018, doi: 10.1109/te.2017.2721907.[3] H. G. Denton, "Multidisciplinary team-based project work: planning factors," Design Studies, vol. 18, no. 2, pp. 155-170, 1997.[4] J. K. L. Leung, S. K. W. Chu, T.-C. Pong, D. T. K. Ng, and S. Qiao, "Developing a Framework for Blended Design-Based Learning in a First-Year Multidisciplinary Design Course," IEEE Transactions on Education, vol. 65, no. 2, pp. 210-219, 2022, doi: 10.1109/te.2021.3112852.[5] B. Tiwari, P. Nair, and S. Barua, "Effectiveness of Freshman Level Multi-disciplinary Hands
essential component of a comprehensive learning experiencein engineering and engineering technology programs. This paper describes a set of softwaresimulation exercises that were developed to complement the materials covered in a powersystems analysis course. The exercises ranged from writing simple MATLAB programs thatperform computations and graph results to more complex and practical applications. Feedbackfrom students indicate that the exercises were successful in achieving the course objectives butthere is room for improvement. Future plans include expanding the simulation exercises toinclude induction motors and the smart grid. The final project was well-received by students andis expected to continue to exist in a similar
a key factor, both creating the workshop and implementing it. The same facultymembers are involved with these three programs. They also train the student volunteers to runthe workshop smoothly. Since most of the STEM program participants are female, SWEmembers play role models in those events. Most SWE members are enthusiastic in promotingSTEM to young girls and high school students. Depending on the number of participants, thenumber of volunteers varies. For the Girl Scout events, we typically need more than 30volunteers, so planning ahead to make sure we have enough volunteers is key to success.SWE organize the annual Girl Scout event, most volunteers are from SWE club, there are someother professional clubs on campus to help out as well
, mathematics, and science. Using the current DOE fund, we plan toenhance this program over the next few years and come up with a model that will be used byother universities and institutions to improve STEM education and encourage high school andearly-stage students. to pursue engineering training.References 1) M. E. Loverude, C. H. Kautz, and P. R. L. Heron, “Student understanding of the first law of thermodynamics: Relating work to the adiabatic compression of an ideal gas,” Am. J. Phys. 70, 137-148 (2002); M. J. Cochran and P. R. L. Heron, “Development and assessment of research-based tutorials on heat engines and the second law of thermodynamics,” Am. J. Phys. 74, 734-741 (2006). 2) R. R. Hake, “Interactive engagement
ways the individual instructors may have attempted to alter things suchas test anxiety or perception of faculty caring. Additionally, in this study we have not examineddemographic differences, or differences in first-generation college student status. In future work,we plan to examine these factors and to see how initiatives to improve different NCA factorssuch as belongingness and grit affect student success. Finally, we also acknowledge that studentgrades are only one aspect of student success, and are interested in finding different ways tomeasure and define this metric.AcknowledgementsThis material is based upon work supported by the National Science Foundation under grantsDUE-1626185 (Cal Poly), DUE-1626287 (Purdue), and DUE-1626148 (UTEP
5.36% 1.29% Hispanic - Male 4.22% 0.90% Black - Male 3.17% 1.58% Asian - Male 1.59% -0.11% Hispanic - Female 1.47% 0.07% Black - Female 0.87% 2.24% Asian - Female -1.73% -0.05% Other - Female -2.16% 0.01% White - Male -5.36% -6.80% White - Female -7.46% 0.87%Table 3. Heat Map of Percent Difference between Suspension and Enrollment, BetweenSuspension and Return at the Intersection of Sex and Ethnicity from Fall 2009 to Spring 2019.any trends in outcomes and not merely be satisfied with aggregate outcomes. In the case of thisstudy, these two institutions plan to continue to track
students willenroll in graduate school [1, 2, 3, 4]. Undergraduate research opportunities have beenparticularly successful for improving these metrics for underrepresented populations [5, 6, 7]. Asa result, several nationally-recognized programs have focused on increasing the number oftraditionally underrepresented groups in engineering to try research as undergraduate students.For example, the Meyerhoff Program at the University of Maryland, Baltimore County (UMBC)is a four-year undergraduate program that attracts top high school students and prepares them forgraduate school. Admission preference is given to students “who are interested in theadvancement of minorities” and those who already plan to pursue a PhD in STEM [8].Meyerhoff Scholars are
willingness: (1) Faculty were directly involved and enabled in questioning, data-gathering, and interpretation processes, (2) Faculty were grouped in departmentally-situated teams with the ability to talk and plan across teams, and (3) The data being considered were granular and allowed careful examination of student success markers across a variety of demographics.As this collaboration unfolded, we observed the process of faculty engagement with the dataleading to real-time, personal realizations that students were being educationally disadvantagedin non-equitable ways. When these “authentic realizations” are combined with the existingliterature focused on ways that student learning and success can be better supported at
-organized; the instructor was very in depth and allowed for a ton of Q&A. Overall great information on the topic of the course” ● “Hands on labs” ● “It was beneficial to learn to use the software and be able to actually see the operation of several different 3-D printers” ● “Learning the history and the future of 3d printing. I didn't know there is different types and methods of 3-D printing. I thought it was helpful in knowing because it could be a business venture in the future”As we continue offering this course, we will develop new materials and modules to deliver to thestudents. We also plan to collect and publish more formal assessment data with a standardgrading protocol in future iterations of the lab activities to
]. Three distinctlearning strategy groups were identified: Navigators, Problem Solvers, and Engagers [10].Navigators plan their learning and focus on completing the necessary activities to achieve theirgoals. Order and structure are important to these learners, who tend to be logical, objective, andperfectionists. They want clear objectives and expectations at the beginning of a course and inadvance of activities, such as in an explicit and detailed syllabus. Problem Solvers are criticalthinkers who like to explore multiple alternatives. For them, the process is important, so theyneed flexibility in completing learning activities. They may have difficulty making decisionsbecause they must choose among multiple alternatives and because the
presents a 1-minute pitch on their goals and interest. Industry members then begin a coaching exchange and interaction with the dinner group. In the second round, students move to a second industry table and present a 2-minute review of their resume and skills sets. Industry guides the table interaction around their company’s business and coaching on career planning and corporate culture.Program ResultsThe CTP and CALC activities shaped an ecosystem of self-efficacy and belief in academicachievement among the freshmen that mirrors the collective peer behavior of upper divisionstudents.The participation of students in the NSF BEATS Program from the programs beginning is listedbelow. The table below indicates the number of
mechanical engineering department once they areofficially admitted into the ME program. Our S-STEM program provides extra faculty mentoringand the scholars are encouraged to meet their faculty mentors when needed to discuss not onlytheir academic progress, but also their future career plan and personal issues. Most of thescholars had talked to their faculty mentors more than three times each semester, suggesting thatthey felt comfortable to discuss issues they had with the faculty. Peer mentoring is adepartmental program open to all undergraduate students. The ME S-STEM scholars arerequired to join the peer-mentoring program to serve as either a mentor or a mentee. Students inthe peer mentoring program meet regularly during semesters. The ME S-STEM