, L., “Multi-Semester Course StaffingOptimization”, In the proceedings for 2022 ASEE Annual Conference & Exposition, June 26-29,Minneapolis, MN, 2022.[2] T. A. Ta, T. Mai, F. Bastin and P. L'Ecuyer, "A Logistic Regression and Linear ProgrammingApproach for Multi-Skill Staffing Optimization in Call Centers" 2022 Winter SimulationConference (WSC), Singapore, 2022, pp. 3087-3098, doi: 10.1109/WSC57314.2022.10015281.[3] Darmanto, E., Siregar, M. , Hayadi, B., Renwarin, J., Asfar, D., Sulissusiawan, A., Anam, S.,and Fatmawati, I., “Decision Support System for Staff Assignment Using VIKOR Algorithm”,Journal of Physics Conference Series, March 2021.[4] J. Wang, "Patient Flow Modeling and Optimal Staffing for Emergency Departments: A PetriNet
impactful at transitioning students to or through calculus; overall,64% achieve calculus readiness in one year. This is compared to only 4% of non-STEM Corestudents in California achieving calculus readiness in three years. Although this calculus readinessdata is challenging to obtain for other states, we anticipate that the results are similar. Additionally,STEM Core students maintain higher GPAs than their non-STEM Core counterparts. Preliminarydata suggests that STEM Core students are eight times more likely than non-STEM Core studentsto become calculus ready and three times more likely to pass calculus (ALLIANCE, 2022).Regardless, after nearly a decade implementing the STEM Core model across the nation, GrowthSector and partners realized the
apply them [13]. Likewise, ML isseen as a difficult topic to learn and understand, one that cannot be attempted without years ofeducation in computer science and mathematics. In short, most engineering faculty and studentsdo not know where to begin when implementing or teaching ML in practical applications. Thispaper introduces a course that attempts to fill some of these gaps for our engineering students.Course contentIn spring of 2022 the author taught a course at Louisiana Tech University titled “Machine Learningin Predictive Maintenance.” The purpose of this course was to introduce engineering students tomachine learning concepts centered on a real-world application of the technology. Nine studentscompleted the course, five from Mechanical
structural,process, and interpersonal dynamics that were resulting in different outcomes and experiencesfor participants in our workshops. In addition to enhancing inclusion for DHH participants, weacknowledged that slowing down and giving time for all participants to engage with theinformation presented in the slides and discussion would likely lead to better engagement andunderstanding for all.For the fall 2022 workshops, the leadership team continued to refine their thinking about howbest to support activities with mixed-hearing status groups. In alignment with our strategic goalsto ensure each campus team was making progress on their campus self-assessment andorganizational action plans, we moved towards longer campus-specific breakout rooms
buildings: It is also about user-experiencein everything from software to product uses to human-machine interfaces. The students in thisstudy are in a department where they are concerned about the built environment, however, as aninteresting future study, mechanical or systems or computer engineering first-years could beexposed to a similar experiential “tour” of different designs to test for their accessibility andcompare it with the civil and environmental engineering students.References[1] F. S. C. F. a. M. K. Renée Pellissier, “Approaching Equity, Diversity, Inclusion, and Social Justice Education as Imperative to Engineering Curricula,” in Canadian Engineering Education Association, 2022.[2] Waterford.org, “Why understanding
four aspects (i.e., abstraction, algorithms,problem decomposition, and pattern recognition) and its application in computational biology.Participants are either in their first or second year of study and are still taking foundationalcourses. Computer science, while not generally regarded as an engineering discipline, wasincluded in the study as a control because computer science majors are assumed to have greaterfamiliarity with CT practice. Data was collected over the second semester of 2022–2023 throughconvenience sampling.Data AnalysisThe data collected were analyzed using a qualitative inductive approach [15]. All interviewswere transcribed using manual coding. An inductive approach was used to code the data frominterviews and helped in
industrial processes.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 CamDr. Kirti M. Yenkie, Rowan University Dr. Kirti M. Yenkie is an Assistant Professor of Chemical Engineering at Rowan University with 12+ years of experience working in the Process Systems Engineering (PSE) area with applications focusing on Sustainability and Environmental Resource Management. She is the winner of the 2023 AIChE Delaware Valley Section Outstanding Faculty Award, and 2022 AIChE Environmental
, 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 or the American Talent Initiative. Research work wasconducted under institutional IRB protocols, IRB#2021-046 (N).Bibliography[1] “TUEE: Transforming Undergraduate Education in Engineering.” https://tuee.asee.org/about/ (accessed Mar. 21, 2022).[2] “Criteria for Accrediting Engineering Programs, 2020 – 2021 | ABET.” https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering- programs-2020-2021/ (accessed Mar. 21, 2022).[3] National Academy of Engineering, The Engineer of 2020: Visions of Engineering in the New Century. Washington
Paper ID #37268Work in Progress: Understanding CS1 Students’ CodeComprehension Behaviors using Multi-modal DataFNU Rakhi NASyedah Zahra Atiq (Assistant Professor of Practice) (The Ohio StateUniversity) I am an Assistant Professor of Practice at the Ohio State University © American Society for Engineering Education, 2022 Powered by www.slayte.com Understanding CS1 Students’ Code Comprehension Behaviors using Multi- modal Data1. IntroductionCode comprehension is an important skill for programmers because it helps them understand codeand develop debugging
), Journal of Personality Assessment, vol. 104, no. 4, pp. 484- 495, 2022, doi: 10.1080/00223891.2021.1966019.[14] M. Abdul, A. A. Rahman, M. Yahya, and M. M. Rahman, "Entrepreneurial characteristics and intentions among undergraduates in Malaysia," (in English), World Review of Entrepreneurship, Management, and Sustainable Development, vol. 15, no. 5, pp. 560-574, 2019, doi: 10.1504/WREMSD.2019.103532.[15] I. M. Kirzner, "The alert and creative entrepreneur: A clarification," Small Business Economics, vol. 32, pp. 145-152, 2009.[16] J. H. Dyer, H. B. Gregersen, and C. Christensen, "Entrepreneur behaviors, opportunity recognition, and the origins of innovative ventures," Strategic Entrepreneurship Journal
with specialization in Construction Management. His research focus is in the area of contract administration on heavy civil projects. His teaching areas include 1. introduction to the built environment and construction management, 2. construction materials and methods, 3. construction equipment, 4. building construction cost estimating, 5. heavy civil construction cost estimating, 6. project planning, scheduling, and control, 7. temporary structures, and 8. contract changes and claims. © American Society for Engineering Education, 2022 Powered by www.slayte.comConfiguration and Use of Lightboard System in Online Environment: Lessons Learned
. © American Society for Engineering Education, 2022 Powered by www.slayte.com Thinking Beyond the Service Course Model: Intentional Integration of Technical Communication Courses in a BME Undergraduate Curriculum Introduc on In technical plans of study, such as Biomedical Engineering (BME), students are o en required to take an undergraduate level course in technical communica on, which supplements the freshman-level communica on courses required by a college or university. These courses tend to be generalized, and
degree is in Agricultural Engineering Technology from Michigan State University.Steve J. Skerlos (Arthur F. Thurnau Professor)Joanna Millunchick © American Society for Engineering Education, 2022 Powered by www.slayte.com WIP Developing Learning Objectives for an “Equity-Centered” Undergraduate Engineering ProgramAbstractThe College of Engineering at the University of Michigan is developing a program forundergraduate students to learn diversity, equity, inclusion and social justice (DEIJ) asfoundational elements of engineering context, in other words to learn “equity-centeredengineering.” This paper presents a set of learning objectives that has been
she operationalized the Deans Diversity Recognition Program. She has served ABET as an evaluator and commissioner, chaired the ABET Ad Hoc Committee on Diversity and Inclusion, and sits on the SHPE Board of Directors. © American Society for Engineering Education, 2022 Powered by www.slayte.comEco-STEM: Transforming STEM Education using an Asset-based Ecosystem ModelAbstractA 2019 report from the National Academies on Minority Serving Institutions (MSIs) concludedthat MSIs need to change their culture to successfully serve students with marginalized racialand/or ethnic identities. The report recommends institutional responsiveness to meet
, and the British Academy. In 2016 the National Academy of Engineering recognized her Corporate Social Responsibility course as a national exemplar in teaching engineering ethics. Professor Smith holds a PhD in Anthropology and a certificate in Women’s Studies from the University of Michigan and bachelor’s degrees in International Studies, Anthropology and Latin American Studies from Macalester College. © American Society for Engineering Education, 2022 Powered by www.slayte.com The Multiplicity of Care in Engineering Education and Program BuildingIntroductionCare is a key framework for discussion and action in engineering education. It is cited as a wayto think
Virginia has onetrack. Most of the students that come to the nine universities are from these schools, therefore, itwould be useful to gather what math courses they have completed. While this may not measurethe quality of the math preparation, it does measure the expected content of that preparation.Data AnalysisUniversity Math Requirements © American Society for Engineering Education, 2023Table 1 summarizes the data found on university websites regarding entry requirements intoengineering schools or programs. While placement test requirements are listed, all universities inTable 1 have waived the SAT/ACT requirements for the application cycle 2022-2023, continuingtheir optional requirements implemented during the COVID
computer engineering and VLSI design. © American Society for Engineering Education, 2022 Powered by www.slayte.com Work in Progress: A Visualization Aid for Learning Virtual Memory ConceptsAbstractVirtual memory is a key feature in modern computer systems. A virtual memory systemsimulates a memory with a large virtual address space using a smaller physical memory coupledwith a backing store such as a disk drive. Virtual memory employs a combination of processorhardware and operating systems software to translate virtual addresses to physical addresses andmanage the movement of data between physical memory and disk. Virtual memory is a complextopic which students can
Paper ID #37182Using the Gather Platform to Support Peer-Learning andCommunity in a Virtual Bioengineering Laboratory CourseLeAnn Dourte Segan LeAnn Dourte Segan is a Practice Associate Professor in the Department of Bioengineering at the University of Pennsylvania. Her interests include bringing evidence-based teaching methods to the classroom and increasing the sense of community and belonging in the undergraduate engineering experience. © American Society for Engineering Education, 2022 Powered by www.slayte.com Using the Gather Platform to Support Peer
engineering is affected by rejection, specifically from an engineering major. Tyler has also served as a Graduate Teaching Associate for the first-year engineering program at Ohio State and currently serves as a Graduate Research Associate working with his advisor, Krista Kecskemety. © American Society for Engineering Education, 2022 Powered by www.slayte.com Engineering and Exclusionary ‘Weed-Out’ Culture: A Framework for Exploring Literature for Meaning and InfluenceAbstractThis Work in Progress paper will explore and propose a framework for operationalizing ways in whichexclusion is present in engineering culture and influential in engineering student
Paper ID #36862CubeSat Design Competition to Foster K-12 STEMParticipation in MaineScott Joseph Eaton (Assistant Professor)Warren H Ziegler (Space Technologist)Daniel FransiscusTyler D Werner © American Society for Engineering Education, 2022 Powered by www.slayte.com CubeSat Design Competition to Foster K-12 STEM Participation in Maine Scott J. Eatona,*, Asheesh R. Lanbaa, Jeremy S. Quallsb, Warren H. Zieglera, Tyler D. Wernera, Caleb Baileyc,d, Hung Nguyena and Daniel Fransiscusa,d a Department of Engineering, University
retention rates.Community colleges play a significant role in today’s US higher education; however, conductingbasic research at community colleges is challenging due to limited resources and opportunities.With support from the National Science Foundation’s Improving Undergraduate STEMEducation: Hispanic-Serving Institutions (IUSE-HSI) Program, a collaborative summer researchinternship program between a public four-year degree institution and two local communitycolleges provided community college students with impactful engineering research opportunitiesand hands-on experiences. In summer 2022, the 8-week research internship program engagednine community college students from diverse backgrounds to participate in four engineeringresearch projects
(2006b). Lastly, the surveyincluded demographic questions to control for their compounding effects on engineering identity.The survey was piloted in an upper-division computer/electrical engineering class in Fall 2021 (n= 14). Subsequently, we collected 268 completed responses over Spring and Fall of 2022(excluding the pilot survey), with the summary statistics shown in the Appendix.The interview protocol evolved as we reviewed related work (Matusovich 2010; Danielsson andBerge 2020), the lessons learned from the pilot survey in Fall 2021, and two mock interviewsconducted with student volunteers in early Spring 2022. The protocol was further modified toaddress the recommendations by our advisory board in Summer 2022, primarily addingquestions
twelve incomingfreshmen annually over three academic years as shown in Table 1 for a total of thirty-sixstudents. A total of 144 student-years of award funds will be disbursed. WCU’s past experiencewith the NSF-funded SPIRIT program [15] showed that vertical integration of students acrossacademic years is a productive means of facilitating peer mentorship. By pacing recruitment inthis way, scholars in all but the first year of FLiTE will benefit from cohort interactions withpeers of higher academic years. Table 1 – Planned scholar headcounts by academic and program year. Program Freshmen Sophomores Juniors Seniors Graduating Continuing Year 2022-23 12
Isabella Zuccaroli for conducting the focus groups. 11 Works Cited[1] ABET, "How ABET Helps STEM Programs Adapt to Industry’s Evolving Needs," Spring 2020. [Online]. Available: https://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting-engineering-programs-2022-2023/.. [Accessed January 2023].[2] ABET, "Engineering Change: Lessons from Leaders on Modernizing Higher Education Engineering Curriculum," An ABET Issue Brief, Fall 2017. [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-programs-2022-2023
InstituteKeywords: education center, HSI, career development, academic servicesAbstractSan Francisco State University is a Hispanic Serving and a Primarily Undergraduate Institutionlocated in the diverse San Francisco Bay Area community. As part of a National ScienceFoundation Hispanic Serving Institute Improving Undergraduate STEM Education grant, theEngineering Success Center was established in late 2021, with an official launch in Spring 2022.SFSU’s School of Engineering is home to 1,400 undergraduate students of which 67% are ethnicminorities, and 18% are female. Surveys conducted through Institutional programs showed thatonly 14% of students attained a position prior to graduation. Within this context, the EngineeringSuccess Center was created to
setting,enhancing online teamwork became a challenge. In order to promote teamwork, a flippedclassroom methodology with project-based learning was introduced into a Cornerstone Courseduring the lockdown in 2020. The flipped classroom is a teaching methodology where studentslearn the concepts before class meetings. In the classroom, the students apply the conceptslearned asynchronously. This methodology allows students to take responsibility for theirlearning and to interact with their peers during classroom hours. It also allows professors to havea more productive time with students. In 2022, educational institutions returned to face-to-faceteaching; this course was no exception. The teaching team maintained the flipped classroommethodology with
One and Level Two SAChE modules to meet the standard reflecting satisfactoryacquisition and application of new knowledge. (The students did not record their actual grade onthese exams, only whether or not they passed it as evidenced by their time stamped SAChEcertificates for the modules). In the summer of 2022, the grades for the 16 students ranged from50-100% completion, averaging 93%, with 3 students failing at attain the standard of 90%. Inthe spring of 2023, the grades for the 48 students ranged from 30-100% completion, averaging97%. On the midterm exam there were three questions for each of five SAChE modules, totaling15 of the 100 questions on the midterm. In the summer of 2022, the mid-term subgrade (forthose 15 safety questions) for
was voluntary but if 90% participation was achieved students wouldearn 25 points of credit toward lab work. Once published, the surveys remained open for 2weeks. The goal of the survey was to identify students’ perception of the implemented flippedlearning approach in a construction cost estimating course as a form of indirect assessment. Inthe Fall of 2022 at the time of their enrollment in the course, a total of 17 undergraduate studentswithin the Construction Management program were solicited to participate in the survey.. A94% response rate was achieved for a total of 16 participants.In addition to the Fall 2021 student survey, Fall of 2021 and Fall of 2022 student scores werecollected and used to compare pre and post-intervention and as
flipped machinelearning classes offered during the spring and fall semesters of 2022. The flipped modules of thiscourse include video lectures that vary in length, ranging from 4 to 20 minutes. Depending on thevideo's length, we required students to finish between three to seven video lessons before classtime. To analyze student interaction with videos of different lengths, we statistically analyzed thevideo coverage from different modules and used surveys to gather students' preferences for videolength. Our analysis indicated that the number of students completing videos before class timesignificantly decreased as video duration increased. However, once students started a video, theycompleted most of it irrespective of its length. Statistical
skill sets. The need for multifaceted professionals is highlighted further by the advancement of tools and methods for remote collaboration on projects. This study’s objective was to explore students’ perceptions of the different aspects of teamwork. The first phase of this study was conducted in Fall 2022, in which students in the Construction, Biomedical, and Mechanical Engineering Departments at Mississippi State University were recruited to participate in a survey on different aspects of teamwork. A quantitative approach was used to ascertain essential facets of teamwork and provide content for in-depth exploration. This paper contains two main result sections. The first one addresses