to the following for their contributions to the learning modules: KimWoodrow and members of the Woodrow lab, Suzie Pun, Barry Lutz, Rahil Jain, and IanAndrews.Bibliography1. Yilmaz, M., Garcia, C., Guillen, T. & Ramirez, D. (2011). A K-12 Advanced Research Camp for Engineeringand Science Disciplines. American Society for Engineering Education (ASEE) Conference 2011, Vancouver, Page 26.283.14Canada, 2011. 2. Yilmaz, M., Ren, J., Ramirez, D., Custer, S. & Coleman, J. (2010). An Improved K-12 Outreach Camp
produce marginal impacts;on the other hand, activities requiring more effort may be more difficult to replicate, yet producepotentially stronger impacts. By implementing experimental activities that require a combinationof moderately easy effort and more intensive effort, we aim to create larger impacts on thedevelopment of inclusive engineering identities among freshmen participants. The followingactivities are listed in order of perceived expenditure of effort, from least to most.Student trading cards. Barker, O’Neill, & Kazim2 suggest printing trading cards of students thatinclude their pictures and names. At the beginning of each period, the professor will shuffle thecard deck. Whenever s/he poses a question to the class, the professor
provided for Spring Break for Research came from a grant throughthe Engineering Excellence Fund, a student-led organization in our College of Engineering andApplied Science. This fund is managed by a group of student leaders who receive funding througha portion of student fees. The BOLD Center also contributed funds to support the workshops, food,and other nominal program costs. For future years we have included a line item for the program inour next round of proposed funding through the Louis Stokes Alliance for Minority Participation.References[1] Figueroa, T., Hurtado, S. (2013). Underrepresented Racial and/or Ethnic Minority (URM) Graduate Students in STEM Disciplines: A Critical Approach to Understanding Graduate School Experiences and
instrumentality, whichdescribes the degree to which an individual considers something s/he is learning to be useful inhis/her future. Measures of instrumentality have been shown to predict course performance in avariety of settings, including engineering [33, 34]. Essentially, when students don’t see a need tolearn something, their learning tends to be negatively impacted. Commonly, the courses thatgate-keep advanced coursework—such as capstone design courses—include a large componentof introductory or basic content that stands in as disciplinary knowledge [35]; in such cases,students who don’t see these components as useful will tend to perform less well. Increasinginstrumentality for struggling and underserved learners is one way to support them. For
work should be built. Appropriating the turtle in 1 It is important to note, this is the first CS course, since UC Berkeley has been tracking student course data, thathas ever achieved that feat.the LOGO programming environment gave children a way to think about the principles ofcomputation and the practice of programming.Design of an Inclusive CS0 CourseAt UC Berkeley, there are two separate ways a students can get a CS degree. They can either get aBachelor of Arts (B.A.) through the College of Letters and Sciences (L&S), or get a Bachelor ofScience (B.Sc.) through the College of Engineering. The major difference between the two tracksis that students who get the B.A. get to take breadth requirements that gives them exposure tomore
asoriginally recorded...”). However, in viewing the original video footage, the authors found thatthe vignette and the video data do not correspond. The vignette that NGSS provides states thefollowing: “Ms. S. moved over to another group that had just broken into laughter and asked what was so funny. Rick related, ‘I see smashed cans all the time. I think an airfoot stomped the tanker down. And the molecules transformed into a molecule foot.’ Ms. S. asked, ‘What is this imaginary foot?’ Latasia answered, ‘Air.’ Ms. S. guided the students, ‘Let’s add that idea to the model.’ (The teacher validated the use of place [smashed cans in the neighborhood] to keep the students engaged and make a
/. [Accessed: 31- Mar-2015].[4] H. P. Mandel, The Psychology Of Underachievement : Differential Diagnosis And Differential Treatment. New York: Wiley, c1988.[5] E. W. Gordon, Supplementary Education : The Hidden Curriculum Of High Academic Achievement. Lanham: Rowman & Littlefield Publishers, c2005.[6] C. M. Steele and J. Aronson, “Stereotype threat and the Intellectual Test Performance of African Americans.pdf,” J. Pers. Soc. Psychol., vol. 69, no. 5, pp. 797–811, 1995.[7] S. Hurtado, C. B. Newman, M. C. Tran, and M. J. Chang, “Improving The Rate Of Success For Underrepresented Racial Minorities In STEM Fields: Insights From A National Project,” New Dir. Institutional Res., vol. 2010, no. 148, pp. 5–15
(s) [13].We expect to have an increase on students enrolled in the EGT programs as the new MET programis in place; we also expect some migration of students from the current programs (EET, MMET)to the MET program. An additional pressure on our faculty body can be anticipated, as we will berequired to meet to the demand from our constituents, as suggested by the survey results. Thesefacts fully support the creation of a new faculty line to be fulfilled by a new faculty member.Faculty Professional DevelopmentCurrency maintenance involves continuing scholarly activities and/or professional interactionsthat strengthen the faculty member's knowledge of his/her field and its interdisciplinaryadvancements, best business practices, newest technology
(3) face-to-face but taught in parallel with the online section. 600 500 400 300 Other 200 Reform 100 0Figure 2: Calculus I enrollment by semester.Total students “captured” by the reform project, as a percent of enrollment is shown in Figure 3.It appears to be stabilizing in the low to mid 70’s, which currently reflects the portion of calculusthat Boise State University has chosen to offer as honors, online, or face-to-face but parallel toonline. 100% 90% 80% 70% 60% 50% 40
targeted toward engineering design. The collaboration between two universities (LTU and UDM) and three different colleges (Biomedical, Mechanical and Nursing) combines the diverse backgrounds and capabilities of students. Multidisciplinary team of this kind are the norm in industry and require project management skills such as effective communication, decision making, resource gathering and scheduling of various tasks. Therefore, the students not only must demonstrate a prototype designed for specific customer need(s) but also the execution process followed by the teams. This requires the students to recognize their roles for contributions in the team.The following sections give a brief
pN-3 … p0. The digital DDFSuses the MSB (i.e., pN-1) as the square wave output. One interpretation is to treat the pN-1 bit as asignal that divides the output period into two equal parts (i.e., two equal phases). The values of 0and 1 are assigned to the two phases, respectively. It is possible to assign multi-bit values, suchas 2 and 7, for the amplitude, and the output wave will oscillate between 2 and 7 instead. Similarly, if two MSBs (i.e., pN-1 pN-2) are considered, the same period is divided into fourphases. Different values can be assigned to the four phases. The same concept can be extendedto S MSBs, which leads to 2S phases in a period. A phase-to-amplitude lookup table with 2Sentries can be created to define the shape of the
traditional methods should not being replaced.Building Information Modeling can supplement the traditional knowledge bases and methods ofconstruction management.Bibliography1. Azhar, S., Hein, M., & Sketo, B. (2011). Building Information Modeling (BIM) Benefits, Risks and Challenges. Leadership & Management in Engineering, 241-252.2. Becerik-Gerber, B., & Kensek, K. (2010). Building Information Modeling in Architecture, Engineering and Construction: Emerging Research Directions and Trends. Journal of Professional Issues in Engineergin Education and Practice, 139-147.3. Clevenger, C. M., Ozbek, M. E., Glick, S., & Porter, D. (n.d.). Integrating BIM into Construction Management Education. Fort Collins
have been a limiting factor for this study because someone who was not an“insider” of ANSEP may have had unbiased views.Bibliography1. Executive Office of the President. Report to the President: Engage to excel: Producing one million additional college graduates with degrees in science, technology, engineering, and mathematics. (2012).2. Frehill, L. M., Di Fabio, N. M. & Hill, S. T. Confronting the ‘new’ American dilemma: Underrepresented minorities in engineering: A data-based look at diversity. 1–109 (2008).3. Alaska Department of Education & Early Development. State of Alaska Department of Education & Early Development 2011-2012 report card to the public. (2012). at 4. Adelman, C. The toolbox revisited
infirst-year programs in the college and across the university. Integration was further bolstered bycohorting student participants and through the development and use of a new advising toolknown as the Golden Eagle Flight Plan (GEFP), which allows each student and his/her advisor(s)to keep track of the student’s academic progress, career development and communityengagement. The 32 FYrE students (treatment group) were compared to a concurrent, matchedControl Group (CG-2) of 33 students from the same entering class who participated in thesummer bridge program but none of the other FYrE interventions; and a historical Control Group(CG-3) with 33 students from the previous year who participated in the previous version of thesummer bridge program
hoc, abductive analysis represents a dialectic “conversation” between dataand theory. Abductive analysis follows an iterative cycle of hypothesis generation that couldexplain unexpected findings and then exploration of potential hypotheses within the data, whichwill often result in new unexpected findings and refinement of hypotheses. Abductive analysis is“complete” once a new theory is generated that can explain the unexpected finding(s) and issupported by the data.Thus, in this paper, we attempt to address the following research question through abductiveanalysis: What theoretical formulation can help explain why female engineering students were more likely to experience innovation in more comprehensive ways than male
course. - As a focus group member co-developed six hours of course modules to address identified gaps in a content area familiar to the University program and its local industry partner(s). - Assessed course contents through at least two delivery cycles. Implementation Academic PartnersSix institutions Embry-Riddle Aeronautical University, Montana Tech, University of Michigan,Virginia State University, Fairfield University, and Milwaukee School of Engineering supportedthis project as an ‘Implementation Academic Partner’ and carried out the following tasks: - Used entire or partial courseware developed by this project in at least one course through at least two delivery cycles. - Evaluated the course(s) and assess the
.Cho, Y. I. (2008). Intercoder reliability. In P. J. Lavrakas (Ed), SAGE encyclopedia of survey research methods (pp. 345-346). Thousand Oaks, CA: SAGE.Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37-46.Cohen, J. (1968). Weighted kappa: Nominal scale agreement with provision for scaled disagreement of partial credit. Psychological Bulletin, 70, 213-220.Devitt, A. (2004). Writing genres. Carbondale, IL: Southern Illinois University Press.deVries, H., Elliott, M N., Kanouse, D. E., & Teleki, S. S. (2008). Using pooled kappa to summarize interrater agreement across many items. Field Methods, 20, 272-282.Freeman, M., deMarrias, K., Preissle, J., Roulston
values of heart rate (slider), strength level ofleft ventricle (dropdown menu), time for simulation (slider), whether to have an assist pump(check mark), and the corresponding pump control parameters (slider). Students are also guidedin those activities to select the right hemodynamic variable(s) to display on the GUI and to makeconclusions based on the results. The scaffolding of these activities makes it natural for studentsto revisit and compare with previous test results. Students were expected to complete activity 1during the class and finish the other two activities after the class. It was brought to theinstructor’s attention that some students skipped activities 2-3 in fall 2018, likely because theywere not collected or graded. Therefore
using NCA factors, and ourresearch, to better support engineering and computing students.References[1] National Academies of Sciences, Engineering, and M., “Supporting students’ college success: The role of assessment of intrapersonal and interpersonal competencies,” The National Academies Press, Washington, DC, 2017.[2] C. Peterson, N. Park, and M. E. P. Seligman, “Orientations to happiness and life satisfaction: The full life versus the empty life,” in The Exploration of Happiness, A. Della Fave, Ed. Dordrecht: Springer, 2013, pp. 161–173.[3] W. Damon, J. Menon, and K. Cotton Bronk, “The development of purpose during adolescence,” Appl. Dev. Sci., vol. 7, no. 3, pp. 119–128, 2003.[4] S. L. Shapiro, D
attributable to the aspect(s) of their way of experiencing ethics in engineering. (3) Outcome of the incident: A clear change, refinement, or crystallization in one’s view of ethics in engineering, especially pertaining to a participant’s way of experiencing ethics in engineering.Kim reviewed the selected 25 interviews and extracted potential critical incidents. Incidentsvaried in length from one to several paragraphs. In most cases a critical incident was extractedwholly from one part of the interview, but in some instances, passages later in the interview werepaired with earlier interview text to complete an incident and to capture the entirety of the abovecriteria. After this initial step, 93 potential incidents were obtained
," International Journal of Management andHumanities, 3(6), 1-5, 2018.[2] V. B. Onk, and M. Joseph, “International student recruitment techniques: A preliminaryanalysis,” Journal of Academic Administration in Higher Education, 13(1), 25-34, 2017.[3] T. Adams, M. Leventhal, and S. Connelly, “International student recruitment in Australia andthe United States”. The SAGE Handbook of International Higher Education, 399-416, 2012.[4] A. Robinson-Pant, and A. Magyar, “The recruitment agent in internationalized highereducation: Commercial broker and cultural mediator,” Journal of Studies in InternationalEducation, 22(3), 225-241, 2018.[5] S. Lomer, “Recruiting International Students in Higher Education Representations andRationales in British Policy London
representative of engineerseverywhere. Nevertheless, their insights are essential in understanding our institutional context,and can guide examination of other settings.Finally, all knowledge produced herein is inevitably affected by the positionalities of theresearchers, beginning with asking a question and continuing throughout the research process.Examination of the merits of this work should be done in understanding and interpretation ofthose positionalities.AcknowledgementsAny opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation. Theresearch team would like to thank the College of Engineering at New Mexico State
al.’s designing effective instruction (2018).4.1.1 Updates to the Seminar: Systematic Design of InstructionAs an example of the updates made for the Summer 2022 ETW, the Seminar on “SystematicDesign of Instruction” was redesigned in an effort to shift the ETW to a more learner-centeredapproach. This shift precipitated the transition away from the more linear approach taken by 5Dick and Carey [3] to the circular design utilized by Morrison et al. [4], resulting in a Seminarthat places a greater emphasis on the continually iterative nature of instructional designcombined with the importance of continual assessment of instructional effectiveness
whether theywanted to work individually on their project or team up. Four students chose to workindividually, six students chose to work in pairs, and four students teamed up to work together asa group.By the beginning of week two, we had found a qualified faculty mentor for most projects, eitherat Portland State University or elsewhere, who was comfortable to advise and mentor thestudent(s) over the summer. The tight timeline made the faculty mentor search process ratherchallenging, but we ended up with an enthusiastic set of mentors willing to volunteer their timeover the summer.CommunicationWe mainly relied on Slack for our all-cohort communications. Different channels helped to focusthe content and discussion. Students reported that they also
Scientific Inquiry,” in Cambridge Handbook of Engineering Education Research, 1st ed., A. Johri and B. M. Olds, Eds., Cambridge University Press, 2014, pp. 3–26. doi: 10.1017/CBO9781139013451.003.[2] M. C. Loui and M. Borrego, “Engineering Education Research,” in The Cambridge Handbook of Computing Education Research, 1st ed., S. A. Fincher and A. V. Robins, Eds., Cambridge University Press, 2019, pp. 292–322. doi: 10.1017/9781108654555.012.[3] G. Tembrevilla, A. Phillion, and M. Zeadin, “Experiential learning in engineering education: A systematic literature review,” J. Eng. Educ., vol. 113, no. 1, pp. 195–218, 2024, doi: 10.1002/jee.20575.[4] V. C. McGowan and P. Bell, “Engineering Education as the Development of Critical
, 2022, and 2023. A total of 78 students and 3 teachers participated in the program during thistime period.Each team of students submits a project report at the end of the spring semester as part of the programrequirements.3.3 Data Collection Instrument(s)For this study, a total of 10 reports were randomly selected from the participants' submissions. Thesereports were analyzed using Open ChatGPT to explore the students' experiences in the Dual-CreditEngineering program.Open ChatGPT was utilized to conduct a thematic analysis of the reports. Each report was inputted intoOpen ChatGPT, which generated codes based on its content. These codes were then combined to formoverall themes across all 10 reports.The procedure for thematic analysis with Open
thatneed further exploration such as the impact that feelings of competition have on students in theSTEM field, how academic counseling may be a useful tool for student success and retention,and how the psychological, academic, and social adjustment to the college learning experiencemay impact STEM student success.References[1] S. Kaleva, J. Pursiainen, M. Hakola, J. Rusanen, and H. Muukkonen, “Students’ reasons for STEM choices and the relationship of mathematics choice to university admission,” International Journal of STEM Education, vol. 6, no. 1, Dec. 2019. doi:10.1186/s40594- 019-0196-x[2] M. Saxena, T. A. Geiselman, and S. Zhang, “Workplace incivility against women in STEM: Insights and best practices,” Business Horizons
., "Integrating Innovation and Entrepreneurship Principles into the Civil Engineering Curriculum," J. Prof. Issues Eng. Educ. Pract,, vol. 141, no. 3, 2025.[6] KFF, "The Kern Family Foundation," 2021. [Online]. Available: https://www.kffdn.org.[7] G. Michelsen, "Sustainable Development as a Challenge for Undergraduate Students: The Module 'Science Bears Responsibility' in the Leuphana Bachelor's Programme Commentary on "A Case Study of Teaching Social Responsibility to Doctoral Students in the Climate Sciences""," Sci. Eng. Ethics, vol. 19, no. 4, pp. 1505-1511, 2013.[8] G. S. a. S. Srinivasan, "Integration of Ethics, Sustainability, and Social Responsibility Components in an Undergraduate Engineering
Foundation, Google, and ResearchConsortium on STEM Pathways (2020). Hispanics & STEM. Retrieved from:https://www.studentresearchfoundation.org/wpcontent/uploads/2020/04/Hispanics_STEM_Report_Final-1.pdf[4] Hispanic Association of Colleges and Universities. (2021, April). Hispanic-Serving Institutionsacross the nation total 569. https://www.hacu.net/NewsBot.asp?MODE=VIEW&ID=3322[5] American Society for Engineering Education. (2016). Engineering by the Numbers: ASEERetention and Time-to-Graduation Benchmarks for Undergraduate Engineering Schools,Departments and Programs. Washington, DC: Brian L. Yoder[6] Gates, A., Roach, S., Villa, E., Kephart, K., Della-Piana, C., & Della-Piana, G. (2008). Theaffinity research group model: Creating and
driving force behind the remarkable success of theproject. We would also like to acknowledge the Estates Office of the University of Hong Kong forgranting the authorized use of Figure 1a and Figure 1b in this practice paper.Ethical approvalEthical approval for this study was obtained from the University of Hong Kong, with HRECreference number EA230632.References[1] T. W. Barrett, M. C. Pizzico, B. Levy, R. L. Nagel, J. S. Linsey, K. G. Talley, C. R. Forest and W. C. Newstetter, “A review of university makerspaces,” in ASEE Annual Conference & Exposition, 2015.[2] Charosky, G., Hassi, L., Papageorgiou, K., & Bragós, R. (2022). “Developing innovation competences in engineering students: a comparison of two approaches.” European