address a gap in the literature and understand theideologies male students hold that either promote or threaten gender equity in engineeringeducation.2.3.Established Strategies for Improving the Culture Climate for Women in EngineeringFriedrich, Sellers, and Burstyn [10] note that the following strategies have been well establishedin the literature to improve the cultural climate for women studying engineering: increaseawareness of the social issue, inclusive teaching strategies, and intervention programs to increaseequity for minoritized students. Faculty and instructional staff can raise awareness by givingstudents the opportunity to reflect on their experiences with diversity and its value. Students oftenonly have these conversations on
and the new coursedue to multiple factors; format, credit hours and topics. Originally, 150 minutes of engineeringeconomics class time per week, plus an additional engineering economics lab, with now anadditional topic of project management needed to be fit into 100 minutes a week. Additionally,originally 4 engineering economics credit, plus 3 credits of Project Management course work nowneeded to be reflective of the new 2 credit course weight. This required re-thinking andreimagining the teaching environment just as Sheppard had said needed to happen.A group of prior Engineering Economics instructors and prior Project Management instructorsjoined together to form a committee to study and create the new 2 credit combined course
as well as some topics indeep learning. Using the same dataset for many assignments fosters a feeling of studentcomfortability, promotes comparing the performances of different ML algorithms, and providesa low barrier of entry after the initial assignment.Our paper is both a detailed syllabus of a first course in maritime-focused ML and a how-toguide for effective use of the mini projects we have developed. Going further, it is a solution tothe mini projects, as it reports on ML algorithms’ performances, how the choices of key tuningparameters affect said performances, and how and why algorithms perform the way they do.Included in the paper is a student reflection authored by a US Coast Guard license student inengineering to offer
(EL), synchronized to the lab, where students study theacademic background underlying the leadership capabilities prior to the related Leadership Lab anddiscuss and reflect on the lessons learned following a given lab, and 3) one from a number ofelective courses that fulfill a Design and Innovation Leadership Requirement (D&ILR), whichfocuses on the engineering design process and the roles of teamwork and leadership therein.Incorporating alumni outcomes measurement in a longitudinal assessment planEarly in its history, GEL began periodically conducting pre-/post- program assessments rooted inmeasurement of students' self-efficacy beliefs [15] pertinent to learning objectives underlying theCapabilities of Effective Engineering Leaders (see
these activities. An internship program has been established with theACUA and we will be assessing the impact of the internship program this summer. The SJLWThas also been trained to adopt our activities and implement in their outreach program thissummer. Activities for the WaterCave and WaterTalk modules will be ready by the end of thesummer of 2023. We will initiate school visits and adaptation of the developed modules this Fall.Acknowledgement:We acknowledge the support of the USEPA for funding this project (Grant # 84034701). Anyopinions, findings and conclusions or recommendations expressed in this paper are those of theauthors and do not necessarily reflect the views of the USEPA.
get out of that, and this is what I would tell you to say to do that or, you know, so I have people in my corner, who definitely are trying to help reduce that kind of workload.”Eva has a mentor that understands the tenure process and is a support for her as she navigates theworkload and faculty norms. Understanding the importance of mentorship in these experiences iscrucial to understanding how faculty navigate the tenure process, especially with the lack ofmentors that reflect their identities which promotes isolation.Understanding the Tenure and Promotion process in Engineering Departments Participants spoke in detail about the worries they had about the process. Some of theareas of concern are highlighted by a few
interactions with peers and faculty withinthe first 10 weeks (about 2 and a half months) of graduate school reduced the impact of stress,both physically and psychologically, for the next 6 months [7]. Overall, we know that at least40% of all doctoral students do not complete their programs, and much of this attrition could beprevented and is not reflective of student capability [8].Simultaneously, doctoral degrees awarded in science, technology, engineering, and mathematics(STEM) continue to be disproportionately awarded to white students. In the 2019-20 academicyear, 71.3% of all STEM doctoral degrees awarded to U.S. citizens and permanent residentswere awarded to white students, even though the U.S. population is approximately 59.3% white.Only 4.3
addition to performance evaluations,the lab staff's professional growth can also be assessed through self-reflection, goal setting, andopportunities to expand their skills by taking on new projects. The staff is also encouraged toparticipate in workshops and attend conferences. The combination of performance evaluationsand other assessment methods provides a comprehensive view of the lab staff's professionaldevelopment and helps ensure that they are able to sufficiently provide services to the first-yearstudents using the makerspace.Next StepsThe Engineering Lab experienced setbacks as a result of the COVID-19 pandemic. However, thededication of the staff members and faculty manager has helped to revitalize the space and makeit available to
inmore challenging open-ended analyses. Students begin by applying Ohm’s law to the seriescircuit, then learn to make power calculations, and eventually draw conclusions related toimpedance matching. This activity remains relevant because the calculations are reflected inlaboratory measurements with the VAWT.AssignmentsThe activity spans five weeks. A problem set is completed once a week in class and part of thatproblem set is a simple series circuit, the model for the VAWT. The lab component meets once aweek, and this is where concepts are reinforced. It is not unusual for some students, usually thosewith no prior experience, to find the circuit analysis problem so different that they react bydisengaging and deciding it is not worth their time
make can reveal their interests. For example, rational choice theory indicates thatchoices are based on a cost : benefit analysis of alternatives [47], [48]. So choices may reflectperceived costs like requiring more time or difficulty, rather than intrinsic interest in the topic.However, students’ choices can also reflect other factors such as primacy bias, which results inpreferential selection of options listed first [49], [50].For local context, over the past ten years the overall number of undergraduate students majoringin civil engineering at CU has declined from a high of 294 in 2012, making up 8.8% ofundergraduates in the College of Engineering, to a low of 219 in 2022, making up only 3.8% ofthe undergraduates in the College of
participant facilitated three one-on-one discussions with thestudent avatars Ciara, Jordan, and Stephanie to understand the nature of the conflict from theirperspective. To mitigate order effects, we varied the order in which each of the twelve studyparticipants facilitated discussions with the three student avatars. The study participants took 15or fewer minutes for each one-on-one discussion. The host avatar, Nina, introduced the session,asked reflective questions after each discussion, and concluded the session. These activities weresupported by a host script. The one-on-one student discussions were not scripted, but rather, eachstudent avatar responded to TA questions using improvisation within the constraints of thescenario. The same sim played
engineering curriculum. The views expressed in this paper are those of the author and do not reflect the official policy or position of the United States Air Force, Department of Defense, or the U.S. Government.Dr. Robert P. Hesketh, Rowan University Robert Hesketh is a Professor of Chemical Engineering at Rowan University. He received his B.S. in 1982 from the University of Illinois and his Ph.D. from the University of Delaware in 1987. After his Ph.D. he conducted research at the University of CamProf. Matthew D. Stuber, University of Connecticut Dr. Matt Stuber is an Assistant Professor with the Dept. of Chemical & Biomolecular Engineering and the Institute for Advanced Systems Engineering at the University of
understanding offatigue and corrosion.The authors gratefully acknowledge support for this effort under Office of Naval Research grantN00014-18-1-2587 overseen by the program officers William Nickerson and Anisur Rahman.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of the Office of Naval Research.References[1] R.I. Stephens, A. Fatemi, R.R. Stephens, H.O. Fuchs. Metal fatigue in engineering, 2nd ed.,Wiley, 2000.[2] M.M. Khonsari, M. Amiri. Introduction to Thermodynamics of Mechanical Fatigue, CRCPress, Florida, USA, 2013.[3] Y.Q. Wingelaar-Jagt, T.T. Wingelaar, W.J. Riedel, J.G. Ramaekers, Fatigue in Aviation:Safety Risks, Preventive Strategies and
versus constructive) to determine how these typesof teaching impact student responses. Finally, we plan to determine what differences can befound between different types of institutions (such as community colleges, MSIs, PWIs, Doctoralgranting institutions) or class types (engineering, science, math).AcknowledgementsThis research is supported by the U.S. National Science Foundation (grant numbers DUE-1821092, DUE-1821036, DUE-1821488, and DUE-1821277). 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.References[1] L. Deslauriers, L. S. McCarty, K. Miller, K. Callaghan, and G. Kestin, "Measuring actual
Paper ID #37311A Visual Heat Transfer Exam Review ActivityDr. Najmus Saqib, University of Indianapolis Najmus Saqib is an Assistant Professor in the R.B. Annis School of Engineering at the University of In- dianapolis (UIndy). Saqib received his Ph.D. in Mechanical Engineering from Colorado School of Mines (CSM), focusing on ”Optical Diagnostics of Lithium-Sulfur and Lithium-Ion Battery Electrolytes using Attenuated Total Reflection Infrared Spectroscopy”. He likes to use innovative pedagogical techniques to facilitate student learning. ©American Society for Engineering Education, 2023
data or thereliance on information that reflects historical inequalities, can result in flawed AI models. Whenthese models are utilized to make inferences about people, such as facial recognition, predictivepolicing, and credit score assignment, they would lead to decisions which can have negativeimpacts on communities of color even without the programmer’s intention to discriminate [1]–[3]. This has led to the ban on the use of such technologies in a few US cities. To empoweryoung people to thrive in civic life in the era of AI, education must prepare them to understandthe benefits and recognize potential harms of AI so that they can make informed decisions.However, this is not easy. Ethics is complex and requires critical thinking of
Grant DRL- 2010259. Any opinions, findings, and conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe NSF.References[1] P. Abichandani, V. Sivakumar, D. Lobo, C. Iaboni, and P. Shekhar, “Internet-of-things curriculum, pedagogy, and assessment for stem education: A review of literature,” IEEE Access, 2022.[2] “Nodemcu: An open source firmware based on esp8266 wifi-soc.” https://www.nodemcu.com/index en.html (accessed Feb. 09, 2023).[3] D. Seehorn et al., CSTA K--12 Computer Science Standards: Revised 2011. ACM, 2011.[4] M. K. John, “Development and use of the arcs model of instructional design,” Journal of instructional development, vol
hands-on projects or activities. In its finalform, the bridge program combines the positive attributes of its former iterations andsuccessfully balances preparing students for college socially and academically. Through hands-on maker projects, tours of campus and department labs, math reviews, and opportunities toconnect socially, the updated bridge program seeks to better support the S-STEM scholars duringtheir transition to college.Acknowledgement – This material is based upon work supported by the National ScienceFoundation S-STEM program under Grant No. 1834139. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science
effectively influencing customers.The course is delivered as though the students are engineers in industry and their assignments arebased on common real-world communication tasks. They must summarize technical articles inshort, written emails and present a short summary without notes (as though they were providingan update in a staff meeting). Critical to this course design is instructor/peer, real-time verbalfeedback as well as video of all presentations for student self-reflection. Longer form technical,executive and customer presentations are incorporated into the class with the students providingreal-time feedback to their peers as though they were fellow employees in the company. Askingthe students to provide positive and constructive feedback
thismaterial are those of the author(s) and do not necessarily reflect the views of NSF. We appreciateall faculty and student focus group and interview participants who helped us understand theirexperiences managing and engaging in IRES programs around the world.References[1] K. Davis, Y. Jalali, V. Lohani, D. Knight, and R. Müller, “Student learning in international research programs: A comparison across cultural contexts,” presented at the ASEE Annual Conference proceedings, 2018.[2] K. A. Davis and D. B. Knight, “Becoming a researcher: A narrative analysis of US students’ experiences in Australia,” presented at the Proceedings of the 8th Research in Engineering Education Symposium, 2019.[3] L. M. Hatfield, C. T. Amelink, N. P. Sanderlin
project was supported by the National Science Foundation (NSF) Award Number DUE-2042363 to all the authors of this work.6. References[1] J. C. Taylor and D. F. Felten, Performance by design: Sociotechnical systems in North America. Prentice Hall, 1993.[2] A. Majchrzak and K. J. Klein, “Things are always more complicated than you think: An open systems approach to the organizational effects of computer-automated technology,” J. Bus. Psychol., vol. 2, no. 1, pp. 27–49, 1987.[3] E. Trist, “The evolution of socio-technical systems,” Occas. Pap., vol. 2, no. 1981, p. 1981, 1981.[4] W. Pasmore, C. Francis, J. Haldeman, and A. Shani, “Sociotechnical systems: A North American reflection on empirical studies of the
. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] L. L. Espinosa, J. M. Turk, M. Taylor, and H. M. Chessman, “Race and Ethnicity in HigherEducation: A Status Report,” Washington, DC, 2019.[2] D. Shapiro et al., “Tracking Transfer: Measures of Effectiveness in Helping CommunityCollege Students to Complete Bachelor’s Degrees, Report No. 13,” Herndon, VA, 2017.[3] K. H. Strickland, “Transfer Students: The True American Ninja Warriors,” About Campus,vol. 23, no. 4, pp. 27–30, 2018.[4] V. Tinto, “Dropout from Higher Education: A Theoretical Synthesis of Recent Research,”Rev. Educ. Res., vol. 45, no. 1
project. This responsibility of teaching empowered thestudents within their research environment, synthesized their learning and helped them direct the learningof others. Taking responsibility for the learning of others can lead to deeper overall understanding 4 whichwe noticed in the students especially within the last few weeks of the program.In the development of students as scholars, the weekly meetings and interactions allowed for depth oflearning and ensured the development of communication skills in an environment conducive to scientificdiscussion and reflection. Research discussion meetings between students and teachers were monitored bythe faculty mentors to enrich discussion and teaching. It was evident that the research discussions
first- time-in-college students’ perceptions of student supports. • Identifying what elements of our program could be possible without a large grant as well as which elements were still challenging even with the presence of a large grant.AcknowledgementsThis material is based upon work supported by the National Science Foundation EngineeringEducation and Centers under Grant Number DUE-1644138. 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.References[1] J. Wyner, K. Deane, D. Jenkins, and J. Fink, “The Transfer Playbook: Essential Practices for Two-and Four-Year Colleges.,” Aspen Inst
and within-setting conceptualization to one that takes into account the movement ofyouth among settings and connections between settings.References[1] G. J. Duncan and R. J. Murnane, Eds., Whither opportunity?: Rising inequality, schools, and children’s life chances. Russell Sage Foundation, 2011.[2] M. Ito et al., “The Connected Learning Research Network: Reflections on a Decade of Engaged Scholarship.,” Connected Learning Alliance, Irvine, CA, USA, 2020.[3] A. V. Maltese and R. H. Tai, “Eyeballs in the Fridge: Sources of early interest in science,” International Journal of Science Education, vol. 32, no. 5, pp. 669–685, Mar. 2010, doi: 10.1080/09500690902792385.[4] K. P. Dabney et al., “Out-of-school time science activities
relying on western approaches of using Likert surveyswith large sample sizes to produce generalizable data sets.AcknowledgmentThis material is based upon work supported by the National Science Foundation Research in theFormation of Engineers program under Grant Number 1916673. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation. 6ReferencesCapobianco, B. M., DeLisi, J., & Radloff, J. (2018). Characterizing elementary teachers’ enactment of high‐leverage practices through engineering design‐based science
more educators aboutour curriculum in an attempt to achieve wider adoption of CS Frontiers.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grants1949472, 1949492, and 1949488. Any opinions, findings, conclusions, or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] B. Broll, Á. Lédeczi, G. Stein, D. Jean, C. Brady, S. Grover, V. Cateté and T. Barnes, "Removing the Walls Around Visual Educational Programming Environments," in Proceeding of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), St. Louis, Missouri, 2021.[2] L. Alvarez, I. Gransbury
and its development process, and will share the badgedevelopment process and badge modules with educators and others with an interest in helpingtechnicians develop cyber awareness. The project team is also considering ways to share thebadge development process with some or all of the eight federal agencies that lead skilledtechnical workforce development programs [8]. This work is part of a project funded by the Advanced Technological Education Program of the National Science Foundation DUE #2000867. Any opinions, findings and conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.References Cited:[1
, assuming there was no deformation at the boundary. After analyzing the data, theYoung’s modulus of the metal samples could be determined; typically, this was accurate towithin about 25-50%. We found that the clamping force, which was provided by a small thumbscrew, was inadequate to assume a perfectly rigid clamped boundary condition and that theactual deformation was somewhere between the limiting cases of simply supported and perfectlyclamped. Following the lab, students were asked to reflect on their experience and to answersome qualitative questions about the system. Students reported excitement at the extremeprecision of the optical technique, but also some frustration that they were not able to reproducethe Young’s modulus exactly
assess whether the factors of chemicalengineering self-efficacy, coping self-efficacy, and student integration have a significant impacton the achievement and persistence of chemical engineering sophomore students.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2025035 through the Professional Formation of Engineers: Research Initiation in EngineeringFormation (PFE:RIEF) program. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] Culberson, O.L. “Attrition of ChE Undergrads,” Chemical Engineering Education, 4(1), 24- 27 (1970)[2