broader understandings of student success in engineering. Justin completed their Ph.D. in Engineering Education (’22) and M.S. in Aeronautics and Astronautics (’21) at Purdue University, and two B.S. in Mechanical Engineering and Secondary Mathematics Education at the University of Nevada, Reno (’17). Atop their education, Justin is a previous NSF Graduate Research Fellow and has won over a dozen awards for research, service, and activism related to marginalized communities, including the 2020 ASEE ERM Division Best Diversity Paper for their work on test anxiety. As a previous homeless and food-insecure student, Justin is eager to challenge and change engineering engineering education to be a pathway for socioeconomic
awarded quite a few prestigious academic scholarships for his academic and research excellence, including, the Gina Cody School of Engineering and Computer Science Graduate Scholarship (2023) at Concordia for his doctoral studies, the PEIYOU Scholarship - First Class (2020) at Shandong University of Finance and Economics, China during his masters, and Merit Scholarship (2013) during his bachelors at East West University, Bangladesh. Mr. Sakib works as a peer-reviewer for reputed international conferences and journals on topics like machine learning, engineering design and different disciplines of computer science.Dr. Yong Zeng, Concordia University Yong Zeng is a Full Professor at the Concordia Institute for
).[32] E. Chen and M. Asta, "Using Jupyter Tools to Design an Interactive Textbook to Guide Undergraduate Research in Materials Informatics," Journal of Chemical Education, vol. 99, no. 10, pp. 3601-3606, 2022/10/11 2022, doi: 10.1021/acs.jchemed.2c00640.[33] O. David Olubiyi et al., "Teaching Basic Concepts in Machine Learning to Engineering Students: A Hands-on Approach," Portland, Oregon, 2024/06/23. [Online]. Available: https://peer.asee.org/48058.[34] A. Y.-T. Wang et al., "Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices," Chemistry of Materials, vol. 32, no. 12, pp. 4954-4965, 2020/06/23 2020, doi: 10.1021/acs.chemmater.0c01907.[35] A. Strachan, S. Desai
of the Practice for the Department of Biomedical Engineering at Duke University and is the Director of Undergraduate Studies for the Department of Biomedical Engineering in the Pratt School of Engineering. She graduated with her Ph.D. in Biomedical Engineering from Duke University in 2008 and has been teaching at Duke since 2010. She teaches classes such as Signals and Systems, Modern Diagnostic Imaging Systems, Freshmen Design and Communication, a Magnetic Resonance Imaging class and a graduate version of Signals and Systems.Dr. Genevieve M Lipp Genevieve Lipp received a B.S.E. in mechanical engineering from Duke University in 2010 and a Ph.D. in 2014 with a focus on nonlinear dynamical systems. She now works in
of this project was to use Keysight ADS (Advanced Design System) Via DrawingUtility software for a detailed examination of the worst-case impact of vias on the signal integrityof a signal when traversing a printed circuit board with 5 and 9 layers, respectively. The insightsgained from simulation and modeling show the best practices and design strategies for mitigatingsignal integrity challenges on industry standard PCB layer thicknesses. The first step is to designthe 3D model. This is done in the Layout modeler in ADS. In the Layout modeler, the next step isto open the substrate window. In the substrate window, layers are then added until we reach thenumber of metal layers needed for the simulation. The bottom and top substrate layers are
identifying common anti-patterns observed in classrooms, pedal can providemore nuanced feedback to students alongside feedback on rubric-based evaluations such as “Doesthe code correctly use a for loop?”. Alternatively, another approach [19], combines program repairtechniques with automated grading to directly evaluate the logic and structure of student sub-missions themselves. These innovations can effectively handle diverse solutions and demonstratea scalable approach for assignments in which students design unique projects, propose problemstatements, and implement customized solutions. However, to the best of our knowledge, none ofthe existing autograder tools can fully evaluate open-ended assignments. Most available tools aredesigned for well
interdisciplinary study of best practice, politics, and ethics associated with technical solutions to humanitarian assistance within Canada and abroad. [...]’ c) relating implicitly, or in part, to environmental sustainability For example, Waterloo’s CIVE241: ‘Transportation Principles and Applications: Application of scientific principles to the planning, design, maintenance and management of transportation systems. [...] Transportation economics, environmental impacts, and demand estimation.’ d) relating implicitly, or in part, to social systems and social responsibility For example, UofT’s APS360H1: ‘Applied Fundamentals of Deep Learning: A basic introduction to the history, technology, programming and applications of
collaboration. Also, studentsgenerally reported feeling comfortable, committed, and supported by their peers, fostering a strongsense of community and shared responsibility. However, some students felt like outsiders, whichaffected their sense of belonging. This research provides valuable insights into how virtualcollaboration shapes student engagement and offers guidance for designing effective onlineengineering education programs.Keywords: engineering education; virtual learning; virtual design; virtual collaboration; studentengagement.IntroductionVirtual learning environments offer flexibility in creating communication channels and shapinghow engineering students would interact, engage, network, and collaborate with their peers, whileremoving the
Engineering Department at MIT. SheKhas served in various teaching capacities from undergraduate instructor to lead instructor of courses in design and manufacturing in the departments of mechanical engineering and materials science at MIT over the course of eighteen years. Her PhD research and current lab focus on projects at the intersection of design and manufacturing, with challenging materials and environments. For five years prior to graduate study, she worked as a manufacturing engineer in the medical device and microfabrication industries. This time in industry, combined with her experience as an undergraduate student taking the same course, as well as family members specializing in education careers have
approaches can reduce inequities by valuing progress and learn- ing, though barriers may still arise if students lack access to resources (including time and confidence).Overall, these grading systems share the goal of fostering a deeper, more meaningful educationalexperience, with ongoing research and case studies contributing to best practices for their imple-mentation. It is also noteworthy that this is not a one-size-fits-all approach, and faculty at specificinstitutions are subject to unique constraints on a case-by-case basis. Our institution enforces someunique constraints that are discussed as applicable. Furthermore, neither of the authors had anyexpertise in alternative grading and we consider this initial attempt a pilot upon
Paper ID #47757Navigating the Social-Emotional Landscape of Neurodiversity in AI EducationRen Butler, Carnegie Mellon University Ren Butler is a Ph.D. student in Human-Computer Interaction at Carnegie Mellon University. Ren researches psychological safety in neurodiverse AI engineering teams. Ren aims to discover design principles for software development tools that support psychological safety among engineers with social and emotional differences. These principles can foster team learning, well-being, and productivity.Dr. D. Matthew Boyer, Clemson UniversityAndrew Begel, Carnegie Mellon University Dr. Andrew Begel, PhD
Technology Zhen Zhao is a Postdoctoral Associate at the Massachusetts Institute of Technology. His research interests include engineering student mentorship and leadership development, engineering research center education and diversity impact evaluation, and engineDr. Meredith Thompson, Massachusetts Institute of Technology Meredith Thompson is a STEM education researcher and program manager for MIT’s Learning Engineering And Practice (LEAP) Group. Her areas of research include virtual and augmented reality, collaboration in virtual environments, STEM education in K-16, and using simulations to prepare preservice and inservice teachers. In her current role, she is a program manager for the Technologist Advanced
Dakota, where I mentor undergraduate and graduate engineering students. My focus is on building a collaborative learning environment and supporting student growth in research and professional development.Blair Dupre, University of North Dakota Blair Dupre is a Ph.D. student in Biomedical Engineering at the University of North Dakota, focusing on developing diagnostic tools and strategies for Parkinson’s disease. Blair brings extensive professional experience in biologics manufacturing, where he has optimized processes to enhance patient care globally. His passion for pharmaceuticals stems from their impact on patient’s lives, driving his commitment to improving manufacturing and ensuring the availability of life
factors that influence student performance inter-act with each other and are able to predict student success, educators can be more informed aboutthe profiles of their students to provide the best learning pathways for individual needs. While thereare many different potential factors that can be used in predicting student success, predeterminedfactors will be best for early intervention and identification of students at risk of low performance.Therefore, this research analyzes the factors that influence students’ success in exam performanceat the beginning of a CS1 course. Consequently, our research questions are: • How do GPA, Gender, and PPE impact performance in an introductory programming course? • Do these factors interact in ways
-scaleson the AI literacy scale were utilized. Only AI ethics and AI self-efficacy (AI problem solving andlearning as sub-scales) were investigated. The survey is a 5-point Likert scale survey from“strongly disagree” to “strongly agree.” For the qualitative section of the survey, the participantswere asked three open-ended questions, including “What are your major takeaways from thisprofessional development? What is one thing that you will do differently as a result of thisworkshop? Any feedback for the workshop facilitator? Evaluating the impact of professionaldevelopment efforts has been recommended as best practice when undertaking professionaldevelopment efforts [23].Data Analysis and ResultQuantitative resultTo quantitatively evaluate the
secured multiple grants for innovative projects. A senior member of IEEE, he actively contributes to the field through publications and conference presentations. ©American Society for Engineering Education, 2025 Direct Assessment of Student Achievement through D2LAbstractThis paper delves into the implementation of D2L/Brightspace learning outcome toolsspecifically designed for the direct assessment of course outcomes, with a keen focus on ABETStudent Outcomes (SOs) based on our experience preparing for the ABET accreditation visit.ABET accreditation is a mark of excellence in applied science, computing, engineering, andtechnology programs. This accreditation guarantees that graduates are equipped with
robot and laptop with the programming software Choregraphedownloaded, the campers had to take turns practicing within their groups. Some group memberswere bored and did not find value in watching team members while waiting for their turn.Additionally, the same issue was present during the research portion. Majority of the campersengaged as a group to conduct research, while one group preferred to divide and conquer theirresearch, resulting in some using their cellphones to search online for ideas with closesupervision of the camp counselors. In the future, additional activities should be offered duringthe NAO programming practice to keep all group members actively engaged. The need foradditional laptops was requested for future camps. The new
civil engineering project that adheres to standardization requirements, evaluating the impact of standards on the quality and safety of construction projects, or developing strategies for implementing standardization in construction companies.2.2 Module DesignTable 1 shows five pilot courses, which span across for freshmen, sophomores, juniors, seniors,and graduate students. A module on standards education has been designed for each course,allowing seamless integration into existing curricula without requiring significant modificationsto course content. Notably, this paper focuses on the first three courses (freshman, sophomore,and junior), detailing module design, activities, learning outcomes, and students’ perceptions andfeedback
engineering programs? • How is the intersectional identity of being neurodivergent and LGBTQIA+ unique in engineering spaces? • How can neuroqueer students be best supported by their engineering programs?IRB approval will be sought for interview-based research on student experiences to begin theprocess of quantifying the needed supports for neuroqueer engineering students. This willprovide a foundation for developing pedagogy for teaching faculty in engineering. Future workwill determine at what level the pedagogy could be most effective, such as introductory freshmenengineering classes versus senior design level classes.References[1] M. C. Kleekamp, "Neuroqueer," in Encyclopedia of Queer Studies in Education, Brill, 2021, p. 410–416
participants.MethodologyThe Biological Engineering (BENG) Mentor Program was piloted in Fall 2024. The programwas designed based on successful mentorship models from the University of Arkansas ChemicalEngineering [9, 10] and Industrial Engineering [11] Departments, both of which have beenestablished for over three years. To ensure an effective launch, the BENG Mentor Programcommittee consulted representatives from these programs to gather advice, best practices, andlessons learned.One of the key recommendations from these consultations was to adopt a mentor circle formatand focus the program primarily on the fall semester. The mentor circle structure was favoredover one-on-one meetings because it encouraged richer discussions and more diverseperspectives
Paper ID #46891Rock paper symbols: Leveraging the spiral curriculum to teach coding inprimary schoolsDr. Brendan Jacobs, The University of New England Brendan Jacobs is an Associate Professor and Head of Department (STEM Education) at the University of New England, Australia. His research interests are in STEM education, explanatory animation creation, conceptual consolidation and digital scholarship.Solina Quinton, University of Waterloo Solina Quinton is an environmental engineering graduate from the University of Waterloo with a passion for education. Her experience in the field of engineering education began during her
into undergraduate writing-intensive courses. We conducted design-basedimplementation research (DBIR) during the 2023-24 academic year on the incorporation of AIwriting tools for scientific communication centered on teacher instruction, student learning, andproblems of teaching practice as identified by practitioners, students, and researchers [4].Through iterative cycles of DBIR, we explored best practices for teaching and learning the use ofAI writing tools in scientific communication; integrated these practices into the products;evaluated the impact on students’ development as writers; and improved the project's products.For this paper, we focus on two research questions: 1) What emerging best practices do we seeinstantiated for using
graduating." This module and these exercises have prepared thestudents for their future work in the field.ConclusionsIn this paper, we showcased a series of new hands-on PLC modules for chemical engineeringundergraduate students, which were implemented in the Process Control Lab course. The firstmodule utilized ready-to-work-with Learning Center Opto-22 hardware. For the second modulewe designed and built a portable cart with a Liquid Level column, powered by the SNAP PACOpto-22 architecture. Comprehensive tutorials to guide students through wiring, programming,and system operation were created for both assignments. The main goal of these activities is toaddress the long-expressed concern about the theory vs. practice "gap" in process
creativity, problem-solving, and a strongfoundation for translating university research into impactful innovations.There are many motivations for pursuing academic entrepreneurship. These include personalaspirations, career goals, and institutional support (Abreu & Grinevich, 2013; Hayter et al.,2018). For faculty, motivations often include the potential for societal impact, financial rewards,and professional recognition (Lam, 2011). Graduate students, on the other hand, are more likelyto be motivated by the opportunity to gain entrepreneurial skills, advance their careers, orexplore alternative career paths outside academia (Mosey et al., 2012). Designing training thateffectively serves these two groups requires a deep understanding of their
course that combines both goals to share lessons learned with other instructors, especially thosedesigning their own new ML courses.2 Course goalsThe initial goals for the intro to ML course were to increase programming practice for electricalengineering students and to expose them to ML concepts. There were two primary directionsthe faculty considered for the course. One option, which was ultimately rejected, was to have a“how to” focus for the course. Students would have read documentation on how to use existingML libraries and build their own systems around these tools, considering the algorithms largelyas “black boxes.” This approach is enticing because it allows students to quickly see excitingapplications without the need for upper-level
have integrated Large Language Models into AATs [30], [31], [32]. Thefunctionality of an AAT puts constraints on an educator’s grading practices.In consideration of the AAT literature, Luxton-Reilly et al. [22] state “there is no broad analysisof the teachers’ motivations for adopting AATs, how it is used to support teaching practice,teacher perceptions of AATs, or the impact of AATs on student behaviour and attitude.” (p. 3)This study gathered student perspectives on how assessment practices influences their behavioursand priorities.4 ContextThis study was conducted at the University of British Columbia (UBC), a large,research-intensive, Canadian university. Over 2500 undergraduate students major in computerscience; the major has doubled
their project and would like to extend their competition results for future publications.They mentioned that it would be achieved through an independent study that one student (fromGeography Department) would conduct during the semester, with the other student (in CSEDepartment) helping out as needed to continue the project. Finding effective approaches toextending the benefits of the workshop to achieve longer-term impact is important. We think onemechanism is to couple it with other course work or research activities. This can be arranged forthe graduate students through their research activities. For undergraduate students, it might behelpful to arrange other curriculum activities (e.g., independent studies or design labs) or
Paper ID #48433Employing Multimedia-based Pedagogy and Primary Literature to Enhancean Introductory Quantum Device CourseMr. Syed Hassan Tanvir, University of Florida Syed Hassan Tanvir is a doctoral student in Engineering Education at the University of Florida. His research investigates the factors influencing engineering undergraduate enrollment, retention, graduation, and dropout. For his Ph.D., he plans to incorporate stealth assessment techniques to foster various competencies in undergraduate engineering programs.Dr. Gloria J Kim, University of Florida Dr. Gloria Kim is an Assistant Professor of Engineering Education
Paper ID #46870BOARD # 350: Degree Attainment and Social Mobility of STEM Students atTwo Hispanic Majority InstitutionsPilar Gonzalez, University of Texas at El Paso Ms. Pilar Gonzalez, a Doctoral Research Associate at the University of Texas System Louise Stokes Alliance for Minority Participation (UT System LSAMP), is also a doctoral candidate in the Teaching, Learning, and Culture (TLC) Ph.D. program at the University of Texas at El Paso (UTEP) in the STEM strand. Her research, which uniquely stems from her Hispanic background, focuses on the impact of a STEM degree on Hispanic social mobility. With over 15 years of
assessing abilityto consider the impact of engineering solutions in global, economic, environmental,and societal contexts.As a result of this review process, we adopted two new student outcome criteria:20.4 and 21.3. These additional student outcome criteria ensured that the skill wasbeing demonstrated in the context specified by ABET Student Outcomes 1-7. Wealso observed that we were using the same activity (e.g., capstone design project)to provide the artifacts for each of the program student outcome criteriademonstrating a single ABET student outcome, but using that particular activity wasnot a requirement in our process. Because we felt it necessary to demonstrate thatall aspects of the ABET student outcome were demonstrated in one