including Lecturer of Mathematics, Engineering Physics, and Industrial Engineering Core Courses; He had served as Program Leader, Academic Advisor, Applied Sciences and Engineering Cooperative Education Coordinator, Program Coordinator & Chair of Infrastructure Committee in higher education. He earned a Master of Science in Manufacturing Engineering Systems from Western Illinois and was recognized for being an outstanding graduate student. He earned a Bachelor of Education in TVET Industrial Technology – Electrical from the University of Technology, Jamaica. He is a Certified Manufacturing Engineer (CMfgE) with the Society for Manufacturing Engineers (SME). He is the immediate past president of the ESE
) The input and output minimum detectable signal levels in mW for the receiver at room temperature.Figure 7 Receiver System3. Wilkinson’s Power Divider and Power CombinerWilkinson Power Combiner (WPC) is a 3-port network device often made using Microstrip lines. For 3-dBdevice operation, port isolation is achieved using quarter-wave transmission lines acting as microstrip armsfollowed by balancing these arms (output ports) using a balanced resistance with respect to the input port.Figure 8. Power Coupler with Power Divider and Power CombinerFigure 9. Geometry of Wilkinson’s Power CombinerFig. 9 shows WPC structure whose analysis is made with Even-Odd mode coupling techniques that usessuperposition theorem and network symmetry to deduce the
subjects, and effectivelycommunicating results to academic, industry, policy, and other audiences.This paper reports on a research project, supported by an NSF EAGER award, that exploresinnovative ethnographic research methods for studying engineering practice. Here we primarilyfocus on the experiences of three students who were directly involved in our data collectionefforts. One undergraduate student engaged with one field site (a utility company, “UtilityCo”)through job shadowing and informal interviewing, while two graduate students collected data asparticipant observers at a second site (a small software start-up, “SoftCo”). In this paper, ourprimary research objective is to examine how these three students experienced their roles
Paper ID #38728Work in Progress: Using Machine Learning to Map Student Narratives ofUnderstanding and Promoting Linguistic JusticeHarpreet Auby, Tufts University Harpreet is a graduate student in Chemical Engineering and STEM Education. He works with Dr. Milo Koretsky and helps study the role of learning assistants in the classroom as well as machine learning applications within educational research and evaluation. He is also involved in projects studying the uptake of the Concept Warehouse. His research interests include chemical engineering education, learning sciences, and social justice.Dr. Milo Koretsky, Tufts
Page 24.831.11take risks, and explore new territories are also essential for engineers to solve complex and novelproblems28-30. Innovative engineers, thus, must balance between creative abilities and technicalknowledge. Prior studies indicate that students often struggle with the creative side ofinnovation, both in terms of identifying creative solutions2,14 and valuing the role creativity playsin engineering design16. This study adds to these findings by suggesting that many engineeringstudents associate with the identity of the technical problem-solver. These students limit thesolutions they can consider by avoiding solutions they do not immediately identify as feasible,adhering to the approaches and knowledge of their home discipline, and
AC 2009-220: A QRW PARADIGM FOR INDUSTRIAL ENGINEERINGCURRICULAMarlin Thomas, Air Force Institute of Technology MARLIN U. THOMAS is Dean, Graduate School of Engineering and Management, Air Force Institute of Technology, past Professor and past Head of the School of Industrial Engineering at Purdue University. He received his BSE at the University of Michigan-Dearborn, and MSE and PhD at the University of Michigan. He has held other academic appointments at Lehigh University, Cleveland State University, University of Missouri-Columbia, University of Wisconsin-Milwaukee, and the Naval Postgraduate School. He has also served as a Program Director for the National Science Foundation; Manager
experience into the classroom teaching Analysis I, Steel I, Steel II, and the beginning Architecture Design Studios.Prof. John J Phillips P.E., Oklahoma State University JOHN PHILLIPS, a registered engineer and Professor of Architectural Engineering, practiced as a struc- tural engineer for nine years before returning to his alma mater to teach at Oklahoma State University. He teaches undergraduate and graduate level courses in building structures. ©American Society for Engineering Education, 2023 Including Structural Engineering Faculty in Beginning Design Studios to act as Mentors for Architectural Engineering StudentsAbstractAs students begin their educational career, they are often
likely dueto the fact that while undergraduate graduation rates for women and historically marginalizedstudents in engineering programs in the US have improved from 2008 to 2018, the total degreesawarded to students of color and women are still far below population representation [2].Research has shown that students from underserved groups are more likely to persist when theysee the link between their coursework and improving society. At the same time, human welfarecomponents are becoming a part of accreditation protocols [3], [1]. These two factors, retentionand accreditation compliance, create an opportunity for improvement in engineering educationthat has the potential to simultaneously address both. We believe the seeds of this
. Thissecond part of the analysis offers further insight into the existence of program-specificDiscourses, as well as offering an interesting opportunity to compare the four programs based onsimilarities or commonalities between their respective students. To accomplish these analyses,the researchers performed open coding of the text as a whole, noting passages that evidenced theinterpretative repertoire offered by various Discourses in the form of familiar arguments,terminology, metaphors, themes, imagery, and various linguistic devices, and analyzed the wayin which the participants drew upon them in order to describe, explain, or justify their statementsand descriptions of both their personal identity as an engineer and member of their team and
. This increases the exchange of ideas between students and improves their collaborative skills. Students that have questions will benefit from the fact that they are being taught the correct approach to solve the problem. There is also the added benefit that the students are learning from a peer, which may encourage the students to question each other more freely. Fellow students that are currently in the process of undergoing the same learning curve might be able to understand each other's perspective and questions better. Additionally, teaching a fellow student within the group helps to crystallize the understanding of the subject matter for the student that is teaching the material because the act of teaching is considered to
background, andeven class standing and experience. The different needs that are present even among studentswho want interesting writing topics underscores the balancing act that we must perform in orderto design an engineering writing class that serves our many students.Interest and AuthenticityA second theme that emerged between the survey results and the interviews was students’interest in authenticity and transferability—in other words, course content that spoke directly toreal-world skills and tasks in the professional lives of engineers. Students’ wish for authenticityis lightly at odds with students’ wishes for interesting topics; students who proposed improvedtopics seemed to want opportunities to use writing as a vehicle to discuss, imagine
-12 school districts, community colleges, four-year universities andcommunity-based workforce investment boards. The overall goal is to bridge the gap betweenindustry-needed skills and those obtained through formal education. The expected outcome is thetransition of students into industry after high school, transfer into a community college, or seek afour-year college degree. Regardless of the career pathway outcome, the WFD programinculcates hands-on, practical skills in participants. These skills were included based on industryfeedback about the gap between current graduates’ skills and those expected in the field ofpractice. The skills were also echoed in the ‘Engineer of 2020’ report by the National Academyof Engineering. As a result, the
-time undergraduate students[4], [5], [6], rarely it was examined for a curriculum designed for graduate engineering workingprofessionals.Based on industry needs, the observation of instructors, and feedback from former students,while this online program teaches many aforementioned soft skills, effective communication isan area lacking attention. To fill in the gap, a new course was created: grounded by Barnlund’sTransactional Model of Communication [7] and elements of Emotional Intelligence, this coursecombines two-day workshop-style lectures, interactive scenario-based role plays, and semester-long coaching to guide students through written and oral presentations of their capstone project.It is tailored to engineering professionals and
AC 2009-759: WHAT LIES BENEATH THE MATERIALS SCIENCE ANDENGINEERING MISCONCEPTIONS OF UNDERGRADUATE STUDENTS?Senay Purzer, Purdue University Senay Purzer is an assistant professor in the School of Engineering Education at Purdue University. She received a Ph.D. and a M.A in Science Education, Department of Curriculum and Instruction from Arizona State University. She has a B.S. degree in Physics Education and a B.S.E. degree in engineering. Her creative research focuses on collaborative team learning and the role of engineering self-efficacy on student achievement.Stephen Krause, Arizona State University Stephen J. Krause is Professor in the School of Materials in the Fulton School of Engineering
student organization at my university, Drexel University in Philadelphia,sponsored a movie night. The movie was The Island, a 2005 film about a group of individualswho are maintained on an island as living spare body parts for the original individuals fromwhom they were derived. The film centers around selected individuals on the island whodiscover their actual purpose and identities and the conflicts this raises between the world of theisland and the world outside. I (DLM) was asked to lead a discussion on the film and, sensing theopportunity for a broad consideration of ethical and moral issues, asked the mixed graduate andundergraduate audience the following question: Who has encountered an ethical issue of anykind either at work or on campus
. His current work explores a range of engineering education design contexts, including the role of power in brainstorming activities, epistemological and conceptual develop- ment of undergraduate learning assistants, as well as the experiences of recent engineering graduates as they navigate new organizational cultures. American c Society for Engineering Education, 2022 Using Utility Value Interventions to Explore Student Connections to Engineering Mechanics Topics AbstractEngineering mechanics courses (e.g., statics and dynamics) are critical foundations within anengineering
activity or having to consider its rolewhile answering a questionnaire or assessing their preferred roles using the Belbin test; and finally,they had to put their creative skills to use when they wrote their self-reflections and gaveconstructive peer feedback. Participant 1: Participant 2:Figure 3: Self-reflection excerpts from two participants on the usefulness of the creativity sessionRQ4: What assessment methodologies could be effective in elucidating the students’ perceptions?Figure 4 shows a snapshot of the types of data collected through the course, along with theirchronological order. It is very important to achieve a good balance between collecting datafrequently enough to be able to derive useful information and not overdoing it to the
scores basedon sentiment polarity scores. The regression coefficient, using Equation 2, was 0.24, confirminga positive relationship between the two variables. This coefficient means that for each unitincrease in sentiment polarity score, there is an expected increase of 0.24 units in the quantitativereview score, holding all else constant. This suggests that while there is a positive impact ofsentiment polarity on the review scores, the effect is moderate. Other factors not captured by thesentiment polarity scores might also play significant roles in determining the quantitative reviewscores. This could include aspects like course content, student expectations, or externalinfluences not reflected in the sentiment analysis. The model confirms a
survey instrument that intendsto seek broad demographic details for students in their first and last year of engineering studies. Theresulting survey instrument is informed by the Self-Determination Theory as a framework, and thesurvey has evolved through reflective in-person interviews intended to elaborate on students’ nuancedexperiences in engineering education as well as their perception of engaging with the surveyquestions. The resulting instrument, despite being broader and directive with respect to EDIAcontent, saw limited change in how the participation rate of students drops off when questions relatedto gender identity, sexual orientation, and or experience of sexism are posed. These questions areseen to act as gatekeepers, and students
significant body of information that characterizes the students who engage in engineeringprograms and their approaches to learning engineering content and skills. Some themes in thisgrowing body of literature include a documentation of students’ conceptions and misconceptionsin specific content areas, an emphasis on additional dimensions of engineering knowing such asintellectual development and identity development, an emphasis on factors that support learningsuch as self-efficacy, and an emphasis on incoming characteristics of students. Often thesestudies include data comparing students across campuses, over time, and with practitioners.Articles in the recent special issue of the Journal of Engineering Education serve to showcasethis growing body
teaching, research, and service. Dr. Ofori-Boadu is a dedicated instructor, advisor, mentor, and role model who has served over 1,500 undergraduate and graduate students. Andrea has received almost $2M from funding agencies to include the National Science Foundation (NSF), the Engineering Information Foundation (EIF), the National Association of Home Builders (NAHB), the National Housing Endowment (NHE), and East Coast Construction Services (ECCS). In 2019, she received her prestigious NSF CAREER grant to construct substantive theories that explain professional identity development processes in undergraduate architecture, engineering, and construction (AEC) women in the United States. In 2020, Dr. Ofori-Boadu received a
capable of success, but oftensuffer higher levels of doubt, anxiety and stress regarding their engineering coursework. Thereare multiple factors influencing this gender difference, including but not limited to: lack ofwomen faculty for mentoring and acting as role models [14], [15]; ongoing gender-basedstereotypes and bias in STEM fields by both men and women [8], [9], [10], [16]; workplacehabits that reinforce gendered work assignments [10], [13] and lack of community to provideencouragement and support throughout the program [2], [4], [10], [14], [15].The focus on self-efficacy is based on studies that have shown a direct relationship betweenretention of women in engineering programs and self-efficacy. The more women believe in theirabilities
whether the patterns identified above – and their significantrecruitment implications – could be explained by the sex/gender of the first year engineeringstudents surveyed and/or by their Millennial Generation status (born between 1981-2000).Preliminary analysis of the 2013 data suggests that the answer may be both/and rather thaneither/or. In the 2013 survey, 89.8% of female respondents indicated that they did not make theirpersonal decision to major in engineering until their sophomore, junior, or senior years in highschool. However, 69.8% of the male students provided the same answer. Secondly, whereas25.6% of the 2013 female respondents indicated that making a difference, helping, or serving asa role model for others was one of their top
, PeteKonstantopoulos participated in each lab discussion and offered suggested improvements basedon his particular classroom structure. His primary focus was on helping the graduate andundergraduate students develop the lessons and labs they would eventually use in his classroomduring the school year. In addition to consulting on lesson development he also spent some timelearning how to use Matlab; specifically the bioinformatics toolbox and he was particularlyinvolved with improving the image processing and robotic labs.Staff Reflections on Implementations of the LabsThe university students found that the implementation of the labs was a balancing act betweenkeeping students attention and engagement and making sure the lab concepts were learned. Theyfound
already displayed a passion for AI before joining the program. Both of these factors limit our findings. 2. Confirmation bias: Some survey questions used language that may have contributed to a confirmation bias — a commonly acknowledged issue with Likert surveys. 3. Retrospective study: The research presented is retrospective, hence, there was no prospective course design to act as a control experiment. The number of students in the class (n = 30) is low to draw any strong statistical conclusions. 4. Lack of diverse population of students: Although the student population represented in our paper is gender-balanced (17 girls and 13 boys), there is no representation of African Amer- ican or Native
node generationmore easily across groups (Fig 3). The identity line was included on the graph as a way tovisually compare how the amount of nodes changed for each student between the pre- and post-CMs. Points that are located above the identity line indicate that students had more nodes ontheir post-CMs than their pre-CMs, while points located below the line suggest students hadmore pre-nodes than post-nodes. Solid lines are a representation of a smoothed, nonparametrictrend line (LOESS: Locally Weighted Scatter-plot Smoothing), with each color linecorresponding to the dots of the same category. The gray areas capture the 95% confidenceintervals around each of the trend lines. The results of this test forces four questions to beaddressed
questions were systematically organized into threecategories: technical, behavioral, and scenario-based. This approach improved the scope andcomplexity of interview topics and enabled a more efficient evaluation process. Staff membersreported a greater alignment between interview outcomes and program objectives, as well as areduction in the time spent on question preparation.Discussion:The survey results highlight a crucial moment in graduate education, where students' use ofartificial intelligence exceeds its formal inclusion in curricula and policy. Robotics students areadopting Generative AI for its clear benefits: improved coding and writing efficiency, accessibleexplanations of complex topics, and general academic support. These findings align
-assessment of their understanding, identity, and sense of belonging, in additionto their math background are factors associated with success in CS courses [38, 39, 40, 41].Whereas, Lewis et al. [42] emphasized that perception of the student’s abilities was a major factorin their decision to study computing.Lastly, the students might be left behind if they do not know where to ask for help. Even though itis the student’s responsibility, the environment like family, friends, advisors, and teachers plays asignificant role [12]. Our findings also highlight the need for self-advocacy but also add theimportance of having a growth mindset.Policies and Staff Support: Redmond et al. [15] discovered that early exposure to CS is one ofthe most critical factors
: Multicultural teaching in the standards based classroom. New York: Teachers College Press.Song, W., Furco, A., Lopez, I. and Maruyama, G. (2017). “Examining the Relationship between Service-Learning Participation and the Educational Success of Underrepresented Students.” Michigan Journal of Community Service Learning, 24 (1), 23-37.Wilson, R. E., Bradbury, L. U., & McGlasson, M. A. (2015). “Integrating service-learning pedagogy for preservice elementary teachers’ science identity development.” Journal of Science Teacher Education, 26, 319-340.Xue, Y. and Larson, R.C. (2015), "STEM crisis or STEM surplus? Yes and yes," Monthly Labor Review, U.S. Bureau of Labor Statistics.Appendix Table A-1
process of analyzing others’ designs and generating feedback would be more productive thanthe actual written feedback itself.In our analysis of student feedback processes, we also draw on the framework of culturalhistorical activity theory (Engestrom, 1999). We view the social practice of evaluating anengineering design and generating feedback as a complex activity system where learners’ actionsare influenced by existing tools (e.g., a feedback worksheet), norms (e.g., classroom rules), andcommunity history (e.g., friend relationships among a group of children). To provideconstructive and effective feedback, learners need to find a balance between these potentiallycompeting activity system elements. For example, the social dynamics between the