Paper ID #45484Navigating Pathways: Qualitative Insights into Personal and ProfessionalTrajectories of Non-Traditional Groups across Engineering-Related AcademicDisciplinesMs. Kimberly A Luthi, Embry-Riddle Aeronautical University - Worldwide Dr. Kimberly Luthi is a Department Chair for the Applied Aerospace Sciences, and Faculty Member at Embry-Riddle Aeronautic University-Worldwide in the College of Aviation. Her research background is in workforce development education and engineering education.MICHAEL KOSLOSKI, Old Dominion UniversityBettina Mrusek, Embry-Riddle Aeronautical University - Worldwide
Paper ID #45123Uncovering the less-heard histories and barriers of Asian and Asian AmericanStudentsMr. Siqing Wei, Purdue University at West Lafayette (COE) Dr. Siqing Wei received a B.S. and M.S. in Electrical Engineering and a Ph.D. in Engineering Education program at Purdue University as a triple boiler. He is a postdoc fellow at the University of Cincinnati under the supervision of Dr. David Reeping. His research interests span three major research topics, which are teamwork, cultural diversity, and international and Asian/ Asian American student experiences. He utilizes innovative and cutting-edge methods, such as
Paper ID #45594BOARD #138: Strategies for Optimization: Enhancing Operational ProcessesThrough Energy EfficiencyMr. Jalal Rastegary, New Mexico State University Mr. Jalal Rastegary is a Research Scientist at New Mexico State University. He has been working on different aspects of renewable energy, new bioenergy, and sustainable management of integrated water and energy use for more than 25 years. Since 2014, Jalal has been a co-PI for the Pollution Prevention Program grant funded by the EPA. He provides technical assistance to small businesses, provides onsite technical assistance in the areas of Pollution Prevention and
Center for Socially Engaged Design within University of Michigan College of Engineering. She earned a PhD and MA in Higher Education from Michigan and a Bachelor’s in Psychology and Sociology from Case Western Reserve University.Dr. Shanna R. Daly, University of Michigan Shanna Daly is an Associate Professor in Mechanical Engineering at the University of Michigan. She has a B.E. in Chemical Engineering from the University of Dayton and a Ph.D. in Engineering Education from Purdue University. ©American Society for Engineering Education, 2025 Applying socially engaged design skills: Mechanical engineering students’ senior capstone experiences (IUSE: EDU)Introduction and
Paper ID #46297BOARD # 257: IUSE: Applying Scaffolded Projects for the Social Good toIntegrate Service-Learning into Software Engineering EducationDr. Chad A. Williams, Central Connecticut State University Chad Williams, Ph.D., is a Professor of Computer Science at Central Connecticut State University and co-PI of the NSF-funded SPSG project. He has 13 years of experience leading community service learning initiatives including course projects, student-faculty-community research partnerships, and guiding student club-driven community efforts.Dr. Stan Kurkovsky, Central Connecticut State University Stan Kurkovsky is a
Paper ID #47899BOARD # 216: Summer Internship Impacts on High School Student STEMCareer Interest (Work In Progress)Mr. Jabari Wilson, University of Florida Jabari has experience working in project management, quality control, manufacturing, tutoring, and mentoring. He holds a bachelor’s degree in mechanical engineering and has earned a master’s degree in mechanical engineering with a minor in electrical engineering. Currently, Mr. Jabari Wilson is pursuing a Ph.D. in Engineering Education at the University of Florida.Atayliya Natasha Irving, University of Florida Atayliya N. Irving is a third-year Ph.D. student at the
Paper ID #49477Data Analysis: Evaluating the Impact of the Professional Formation of EngineersProgram on Career DevelopmentPallavi Singh, University of South Florida Pallavi Singh received a bachelor’s degree in Electronics and Communication Engineering from Guru Nanak Dev Engineering College (GNDEC), Bidar, in 2016 and a master’s degree in Electrical Engineering from University of South Florida, Tampa, FL, USA, in 2019. Pallavi worked as a data science engineer, embedded system engineer, computer vision engineer, system engineer, project manager, and systems engineer, In addition, Pallavi, has also served as a
Paper ID #46155BOARD # 245: Impact of the COVID-19 Pandemic on Online Student Interestand Engagement in Undergraduate Research: Sponsored through NSF IUSEEmily Faulconer, Monash University Dr. Emily Faulconer is a Senior Lecturer in the School of Biological Sciences at Monash University where she serves as Coordinator for the Master of Environment and Sustainability. She earned her Ph.D. in Environmental Engineering Sciences from the University of Florida. Her recent research has focused on experiential learning and student-centred pedagogy while in-progress research explores disciplinary competencies. Prior to joining
Paper ID #46275BOARD # 395: NSF AGEP Catalyst Alliance: Engaging Leaders to ImproveDiversity among STEM FacultyDr. Lizandra C Godwin, University of New Mexico Dr. Lizandra C. Godwin is a faculty member in the Electrical and Computer Engineering Department at the University of New Mexico. Dr. Godwin earned her M.S. and Ph.D. degrees in Materials Science and Engineering from the University of Florida, and her B.S. in Mechanical Engineering from Florida A&M University. Her research focuses on materials (ink) development for advanced manufacturing processes, microelectronic devices, and broadening participation in
Paper ID #48534BOARD # 468: WIP: Key Findings to Date from NSF RIEF Award No.2205033 - Research Initiation: Mapping Identity Development in DoctoralEngineering StudentsDr. Jennifer A Cross, Texas Tech University Jennifer Cross is an Associate Professor in the Department of Industrial, Manufacturing & Systems Engineering at Texas Tech University. She received her BS in Industrial Engineering from the University of Arkansas and her MS and PhD in Industrial and Systems Engineering from Virginia Tech, where she also served as a Postdoctoral Associate in the Enterprise Engineering Research Lab. Her research interests are
Paper ID #47874BOARD # 359: ECR-EDU Core Research: (Mis)alignment between ME coursecontent and student career intentionsDr. Jingfeng Wu, University of Michigan Jingfeng Wu is currently a PhD student at the University of Michigan majoring in Engineering Education Research. She holds a PhD in Chemical Engineering from University of Calgary in Canada, and a Bachelor of Science in Chemical Engineering at Chang’an University in China. Her research interests include engineering undergraduate curriculum analysis, engineering students’ career interests, and technical communication.Dr. Erika Mosyjowski, University of Michigan
Paper ID #48062BOARD # 390: Leveraging AI and Predictive Analytics for STEM IdentityDevelopment:Insights from the NSF S-STEM funded Engineering and ComputerScience(ECS) Scholars ProgramDr. Michael W. Thompson, Baylor University Michael Thompson received his BS, MS and PH.D. degrees in Electrical Engineering from Texas A&M University. He a professor in the Department of Electrical and Computer Engineering and previously served as the Associate Dean for Undergraduate Programs in the School of Engineering and Computer Science at Baylor University.Dr. Anne Marie Spence, Baylor University Clinical Professor Mechanical
Paper ID #48557BOARD # 470: Work in Progress: RIEF - An Observational Study of StudentQuestion-Prompted Discussion to Identify Student’s Knowledge LevelMs. Sarah M Johnston, Arizona State UniversityMs. Thien Ngoc Y Ta She is a doctoral student of Engineering Education Systems and Design at a U.S. university at the Southwest. She has been working as a research associate for a project of the Kern Family Foundation at this university. She has taught for a technical collegDr. Ryan James Milcarek, Arizona State University Ryan Milcarek obtained his B.S., M.S. and Ph.D. in the Mechanical & Aerospace Engineering Department at
Paper ID #48732BOARD # 365: Empowering Junior Faculty and Students within an EngineeringDepartment using an Agile ApproachMassood Towhidnejad, Embry-Riddle Aeronautical University - Daytona Beach Massood Towhidnejad is Professor of Software Engineering and Chair of Electrical Engineering and Computer Science Department at Embry-Riddle Aeronautical University. His research is in the area of Software Engineering, and Quality Assurance.Sarah A Reynolds, Embry-Riddle Aeronautical University - Daytona Beach Sarah is a Ph.D. student in Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University, with a
Paper ID #48034BOARD # 433: RED: Faculty Co-Create Community, Mentoring, TransformationDr. Lynne A Slivovsky, California Polytechnic State University, San Luis Obispo Dr. Lynne Slivovsky is the Inaugural Chair of Computer Engineering at California Polytechnic State University, San Luis Obispo, California, USA.Dr. Lizabeth L Thompson P.E., California Polytechnic State University, San Luis Obispo Dr. Lizabeth Thompson is the Director of General Engineering and a professor in Industrial and Manufacturing Engineering. She has been at Cal Poly for 32 years and has held various positions on campus including Co-Director of
, with a common gradingsystem. This paper assesses the student performance in statics over the past few years at OSU,across various semesters while considering the various ‘features’ of the course. Results indicatethat the performance of students in fall and summer are generally better than in spring with a largernumber of students obtaining ‘A’ or ‘B’. In-person learning in the post covid times (after 2021)has resulted in improved student performance compared to covid times. Recent developments inthe introduction of supplemental instruction (SI) leaders at OSU is an initiative that is expected tosee further improvements. Future work focused on hands-on learning and guest lectures fromindustry, can greatly enhance student learning.Keywords
Paper ID #47150BOARD # 431: Project ELEVATE: Utilizing our AGEP Alliance to BuildInfrastructure for ChangeDr. Alaine M Allen, Carnegie Mellon University Dr. Alaine M. Allen is a dedicated educator who has spent over thirty years creating opportunities and amplifying the voices of individuals from groups that have historically been marginalized, underestimated, or overlooked in science, technology, engineering, and mathematics (STEM) fields. She currently serves as an Associate Dean at Carnegie Mellon University in the College of Engineering. In this role, she collaborates with a team of professionals to strengthen the
dh = A dt dt p = −a 2ghthat is, dh p = −b 2gh, h(0) = h0 (1) dtIf we consider other factors such as friction caused by water going through the hole [5], b is usedas a broad constant not just Aa . Using the method of separation of variables, we have thefollowing √ p b g 2 h(t
to its three outputs. The input vector is denoted as I (A, B, C),potential to minimize power consumption and enhance while the output vector is represented as O (P, Q, R). Thecomputational efficiency. Numerous studies have examined relationship between the inputs and outputs follows specificthe role of reversible logic gates in the development of logical operations: P = A, Q = A ⊕ B (XOR operation), andenergy-efficient sequential circuits, leading to remarkable R = (A ⋅ B) ⊕ C (AND followed by XOR). Since the Peresprogress in digital circuit design. gate is reversible, it preserves information, making it highly In [1
to explore the relationship between problem-solving skills andconceptual understanding.The three teaching styles examined in this study are: (A) a flipped, recitation-based classroomwith a mastery-based derivation approach, (B) a lecture-style class using the SMART (SupportedMastery Assessment through Repeated Testing) approach, and (C) a lecture-style class with threelevels of student participation to engage both reflective and active learners. We analyzed studentperformance data from exams and concept inventory questions to address the following researchquestions: (I) Do problem-solving skills differ among students taught with different approaches?(II) How does conceptual understanding vary among students in different teachingenvironments
. Instead of processing sentences individually, we classify one paragraph ata time. This preserves contextual meaning and reduces computational overhead. Processing fullparagraphs allows a structured approach while keeping relationships intact.4.3.1. Relationship CategoriesThe 17 relationship categories define different types of connections between entities. Each cate-gory describes how two entities (A and B) interact. Below is an overview: 6• Part-Whole Relationship: A is a part of B or contains B. Example: ”A mitochondrion is part of a cell.”• Category & Type Relationship: A is a specific instance of category B. Example: ”A rose is a type of flower.”• Cause & Effect Relationship: A
course. We designed the survey workflow to ask participantsdifferent questions based on whether the participant was an undergraduate student (Appendix B)or an instructor (Appendix C). The survey provided definitions for various online resources(Appendix D) to support completion of the survey. Here, we define “online resources” as anyvideo, simulation, webpage, document, worked/interactive example problem, forum, or otherinteractive tool accessed through the internet that enhances student learning. We also collecteddemographic information from participants. As an incentive for participation, we entered allparticipants into a raffle for $50 Amazon gift cards.The student survey (Appendix B) comprised 20 questions per course enrolled. We asked
the carpet and EVA. b) Determine the relationship between Fat (friction force) and Wfat (work done by friction). c) Identify which cluster represents the greatest energy loss. d) Determine which material the student would choose to cover their steel track.EvaluationA pre-and post-lesson knowledge assessment was conducted using a Likert-typequestionnaire (appendix A). The experiment was conducted with approximately 340students divided into groups of 3 to 4 in laboratory classes (100 minutes). Around 119students responded to the questionnaire. Pre-class % Post-class %Subject Question % Difference
and Social Integration between Working-Class and Middle/Upper-Class Students at Large, Public Research Universities,” J. Coll. Stud. Retent. Res. Theory Pract., vol. 15, no. 2, pp. 215–242, Aug. 2013, doi: 10.2190/CS.15.2.e.[18] S. Pierszalowski, J. Bouwma-Gearhart, and L. Marlow, “A Systematic Review of Barriers to Accessing Undergraduate Research for STEM Students: Problematizing Under-Researched Factors for Students of Color,” Soc. Sci., vol. 10, no. 9, p. 328, 2021, doi: 10.3390/socsci10090328.[19] J. Blue, B. Johnson, A. Summerville, and B. P. Kirkmeyer, “Beliefs and behaviors of first-generation and low-income students in early engineering courses,” presented at the CoNECD 2018 - Collaborative
EDUC 285 Secondary Rdg/LA Across Discpl 3.00 A- 11.10 EDUC 286 Second Rdg/Adoles Design F.P. 1.00 A 4.00 EDUC 287 Instruct Design & Classrm Mgmt 2.00 A- 7.40 ENGL 305 American Literature I 4.00 B 12.00 Detected Table Extracted OCR Output Stage 3: LLM ART 115 Basic Sculpture 2 Bt 6.6 Reorganize this ART 116
assignments or solve problems, they may miss out on thethe student's knowledge and capability or if it's a product of AI cognitive process involved in these tasks, which is crucial forassistance. Moreover, when students rely heavily on ChatGPT truly mastering the material.Fig. 1. Sample coding problem taken from one of the online autograding platforms, zyBooks [5]. (a) Coding exercise. (b) Template coding canvas for students to write their code. (c) Solution provided by the student selected as a case study. Additionally, it may shortchange learning rather than alongside the corresponding coding template provided tobuilding understanding, problem-solving skills, and resilience
theLinkages*. Res High Educ 47, 1–32 (2006). https://doi.org/10.1007/s11162-005-8150-9[3] F. E. Causer, M. Baranowski, A. V. Masters, and A. M. Williams, "Quiet eye training: Reviewand future directions," Frontiers in Psychology, vol. 13, Art. no. 840180, 2022. [Online].Available: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.840180/full.[4] Cerbin, W. “Improving student learning from lectures.” Scholarship of Teaching andLearning in Psychology, 4(3), 151–163. (2018) https://doi.org/10.1037/stl0000113[5] Shernoff, D. J., Csikszentmihalyi, M., Shneider, B., & Shernoff, E. S. Student engagement inhigh school classrooms from the perspective of flow theory. School Psychology Quarterly, 18(2),158–176. (2003) https://doi.org/10.1521/scpq
campus buildings, suchas Stanky Field, Shelby Hall, and others. These assignments provided hands-on experience inboth digital design and physical modeling techniques. A follow-up quiz with unlimited attemptsensured mastery of the content, allowing students to gain confidence in interpreting and applyingengineering standards. Figure 2(b) shows one of student groups presenting the blueprint of thesouth elevation side view of Hancock Whitney Stadium. Additional details of the group projectare illustrated in Appendix A-2. (a) (b)Figure 2. (a) In-class illustration of using standardized measurement methods to students; (b) students presented a group
practices in action, such ascampus recycling centers or energy-efficient buildings.The CFA framework was integrated into the interdisciplinary course Engineering in the 21st Century(E102), involving 726 first-year students across 10 sections taught by three instructors. Students weredivided into two groups. Group A received streamlined access to CFAs, including a curated list ofactivities and regular reminders via the learning management system (Moodle), with access to bothin-person and asynchronous CFAs. Group B, in contrast, received information about CFAs only viaMoodle posts and verbal communication during class without asynchronous options or structuredreminders. Both groups were required to complete three CFAs of their choice and submit
, as well as approximation techniques that may be used in cases where these numericalmethods perform poorly.MethodologyThe development of a robust visualization technique to illustrate the concepts pertaining to thegeneration of magnetic fields is the primary goal of this study, as the magnetic field is the onlyfield that appears in Ampere’s law (shown in Equation 1) in the absence of displacement currents∂t E, such that static current densities (J) are the only sources of magnetic field. Note that µ0represents the free space magnetic permeability. ∇ × B = µ0 (J + ϵ0 ∂t E) (1)Furthermore, the magnetic field belongs to a class of vector fields that are divergence-free