State University Ernesto Cuesta is a PhD student in the Engineering Education Department at Virginia Polytechnic Institute and State University (Virginia Tech) in Blacksburg, VA. He holds a B.Sc. in Telecommunications Engineering and an M.S. in Project Management. Before beginning his doctoral studies, he spent eight years in the telecommunications industry, leading data-center swaps and managing large-scale network deployments. As a Graduate Teaching Assistant, he supports Virginia Tech’s interdisciplinary IDPro course, mentoring students through project-based learning and facilitating teamwork across engineering disciplines. His research interests center on student motivation in experiential learning environments
–288, 2011[3] C. Kuhn and Z. Castaño, “Boosting the career development of postdocs with a peer-to- peer mentor circles program,” Nat Biotechnol, 12;34(7):781-3, Jul 2016.[4] M. Broberg, B. Bose, R. Pineda-Mendez, D. Devine, R. Gehr, C. G. Jange, J. McDermott, M. Loui, and J. Eisma, “Lessons learned - preparing graduate students and postdoctoral researchers for tenure track careers through mentoring circles,” Paper presented at the 2022 ASEE Annual Conference & Exposition, Minneapolis, MN, USA, June 26-29, 2022. 10.18260/1-2—40662. Available: https://peer.asee.org/40662.[5] R. A. Layton, M. L. Loughry, M. W. Ohland, and G.D. Ricco. (2010). Design and validation of a web-based system for assigning
design and pedagogical consultation in diverse contexts and disciplines. Among others, leading the curricular design and coordination of experiential learning programs like The Ann Arbor Languages Partnership (A2LP), developing structures for pedagogical consultation and faculty development as Associate Director for Faculty Development at the Pontificia Universidad Cat´olica de Chile School of Engineering, and more recently in her role as instructional consultant leading large scale course transformation with the Foundational Course Initiative (FCI) at the UM Center for Research on Learning and Teaching (CRLT). Claudia earned her PhD in Educational Studies from UM, with a focus on teaching and teacher education
Electrical Engineer in Taiwan. Before transitioning to academia, Huang worked for the Taiwan Government, where she was responsible for designing and procuring electrical, mechanical, and HVAC systems for large-scale commercial, industrial, residential, and high-rise buildings. She also conducted research on Smart Buildings and Energy Management Systems. Huang established the Power Engineering Program and actively supports renewable energy-related projects at George Mason University. Her research interests include power systems protection and stability, microgrids, energy management, and smart building technology.Kursten Szabos, George Mason University Kursten A. Szabos is a current PhD student in the Power and Energy
active learning hasremained slower than might be expected, particularly in engineering programs thattraditionally rely on extensive lectures with a focus on solving well-defined problems.For instance, Hall et al. analyzed a shift from lecture‐based to active‐learning strategies in anMIT engineering course, examining motivations for this change and strategies to surmountimplementation challenges [26]. Although some instructors made progress, the processremained difficult, in part because altering how a course is taught often requires deeperadjustments to teaching beliefs, classroom management, and course structure than alteringwhat is taught [26]. Borda et al. also observed that STEM faculty, including those inengineering, encountered barriers
and SupportA cornerstone of the project is fostering a collaborative and supportive community. Students withdisabilities are encouraged to work in peer groups where mutual learning and assistance areprioritized. Dedicated mentorship programs pair students with experienced faculty or advancedpeers who provide guidance tailored to their needs. This structure creates a network of support thatenhances both academic and personal growth.Flexible AssessmentsTo ensure fair and equitable evaluation, alternative assessments are available. For example,students may present their findings through video presentations instead of written reports orparticipate in modified practical evaluations that align with their abilities. These options allowstudents to
programs. Luis is interested in exploring how students interact with new materials in multicultural settings.Dr. Greses Perez P.E., Tufts University Greses A. P´erez is a Ph.D. student in Learning Sciences and Technology Design with a focus on engineering education. Before coming to Stanford, Greses was a bilingual math and science educator at public elementary schools in Texas, where she served in the Gifted and Talented Advisory District Committee and the Elementary Curriculum Design team. As a science mentor at the Perot Museum, Greses locally supported the development of teachers by facilitating workshops and creating science classroom kits. She taught in bilingual, Montessori and university classrooms in Texas and
this space? 10 Despite the attention paid to diversity and equity in official program messages, to what extent do you feel support from your department/college to improve your teaching and the learning experiences of all students?To explore the culture and challenges of equity-minded teaching in the engineering curricula, theanalysis of the journal entries was limited to the contributions from the five engineering facultyresearch members only. Each journal entry was first anonymized upon submission to the centralrepository and then inductively coded (1) originally by individual CoP members and then (2)reviewed, refined, and re-coded collaboratively during a CoP meeting. As codes were identifiedfrom the
program for first-generation students and underrepresentedminorities in engineering. The Studio also became a new home for several existing programs,including engineering supplemental instruction and peer mentoring. It is also part of anarticulation plan with the college’s study-abroad program. The Studio has evolved into a hub ofstudent learning and leadership, which encouraged a significant investment from a major energycompany, and expanded the Studio and several other student services into a new entity: the LSUChevron Center for Engineering Education (Chevron Center).Students who participate in our programs do so voluntarily, as do the faculty who certify theircourses as C-I courses. Participation numbers indicate excellent buy-in by both
,personalized feedback, which is crucial for helping students grasp complex programming concepts.Many students experience frustration and disengagement due to the delayed nature of feedback inlarge classes, which can hinder their learning and reduce their confidence in their programmingabilities. Furthermore, the growing demand for programming literacy across disciplines, from en-gineering to the broader STEM fields, makes it imperative to find scalable, efficient solutions toimprove programming education at all levels.Tools that can bridge the gap between individualized instruction and the realities of large-scale, di-verse classrooms are in high demand. Current educational approaches often lack the flexibility andadaptability needed to cater to
Integer-Linear Programming (MILP) to determine unintended disparities in the impact of automated traffic law-enforcement on different groups in the city of Chicago.Nikhil Chandra Admal, University of Illinois Urbana-Champaign Dr. Admal is a professor of Mechanical Science and Engineering at the University of Illinois Urbana-Champaign. He holds a Ph.D. in Aerospace Engineering and Mechanics and a Master’s in Mathematics from the University of Minnesota, Minneapolis. His research focuses on multiscale modeling of materials, particularly the mechanics of defects. Dr. Admal has published over 20 papers in peer-reviewed journals. He is actively involved in engineering education, especially in incorporating real-world examples
professional manner.Providing students opportunities for self-advocacy in the classroom can be challenging. In theacademic setting, seeking feedback sometimes devolves into the student arguing over pointdeductions on an assignment. The use of detailed rubrics, especially for subjectively gradedassignments can prevent grade haggling – and they also provide a valuable lesson in theimportance of understanding expectations. Professors can mimic supervisors by requiringstudents to interact to clarify expectations and by setting up peer review situations to provideexperience in both getting and receiving feedback. They can also establish professional standardsof behavior such as students providing advance notice of absences, including relevantinformation in
. Eng. Educ., vol. 99, no. 4, pp. 371–395, 2010. doi: 10.1002/j.2168- 9830.2010.tb01069.x.[4] G. Lichtenstein, H. G. Loshbaugh, B. Claar, H. L. Chen, K. Jackson, and S. D. Sheppard, "An engineering major does not (necessarily) an engineer make: Career decision making among undergraduate engineering majors," J. Eng. Educ., vol. 98, no. 3, pp. 227–234, 2009. doi: 10.1002/j.2168-9830.2009.tb01021.x.[5] L. H. Ikuma, A. Steele, S. Dann, O. Adio, and W. N. Waggenspack Jr., "Large-scale student programs increase persistence in STEM fields in a public university setting," J. Eng. Educ., vol. 108, pp. 57–81, 2019. doi: 10.1002/jee.20244.[6] P. Dawson, J. van der Meer, J. Skalicky, and K. Cowley, "On the effectiveness
scholars, research, and mentoring: Current and future issues,” Educational Researcher, vol. 23, no. 4, pp. 24-27, 1994. Doi: https://doi.org/10.3102/0013189X023004024.[27] B. Sato, Professors of Teaching: Lessons Learned from a Unique Teaching-Focused Faculty Model, Mathematical Association of America, May 23, 2024. [Online]. Available: https://maa.org/math-values/professors-of-teaching-lessons-learned-from-a-unique-teaching- focused-faculty-model[28] A. N. Harlow, S. M. Lo, K. Saichaie, and B. K. Sato, "Characterizing the University of California’s tenure-track teaching position from the faculty and administrator perspectives," PLoS One, vol. 15, no. 1, p. e0227633, Jan. 2020.[29] M. Stains, J. Harshman, M. K. Barker
. TheRobotics program might introduce a module called “Ethics of AI in Academia” at the semester'sstart to discuss acceptable practices thoroughly.Integrating GenAI into the curriculum can enhance the learning experience when approachedthoughtfully. Students suggest that instructors incorporate GenAI into demonstrations orassignments, guided by clear pedagogical objectives. For example, in a robotics programmingcourse, an instructor could use ChatGPT to generate a function and test it in real-time on a robotsimulator, showcasing both successes and failures. This method captivates student interest whileteaching valuable lessons on the iterative process of using AI-generated code. In writing-intensivecomponents, such as project reports, instructors may
the public when COI issues are of concern. This is done throughpublic statements outlining institutional policies and commitment to managing and enforcingCOIs. If a COI issue arises that puts into question an institution’s reputation, a crisiscommunication strategy should be implemented to address concerns.EducationEducation related to COIs typically consists of comprehensive training programs that universitiesinstitute to increase awareness and develop competencies in recognizing and managing conflictsof interest (Annane et al., 2019). These target individuals at all levels including students, facultymembers, and even external stakeholders. Most universities require faculty, students, andadministrators engaged in research to complete online