the Electrical and Computer Engineering programsthat most of the students did not gain strong troubleshooting skills by the time they graduated.To address this issue, several faculty members in the Electrical and Computer Engineeringprograms have developed an initiative aimed at helping students develop and/or improvetroubleshooting skills and, more importantly, build a solid foundation for successful professionalcareers in the future.In the initial phase of this project, a troubleshooting laboratory activity was designed andimplemented in Fall 2023 and Spring 2024 for Network Theory I, an introductory circuit courserequired for both Electrical and Computer Engineering students. During the troubleshootingactivity, students worked in teams to
. It is often the case that these concepts have aclear connection with areas such as robotics and control. However, more effort should be putforward towards integrating this class with other subfields such as material science, and the thermalarea. These cross-curricular connections would help reinforce key concepts covered in those moretheoretical courses by making them more tangible via hands-on experiments. Additionally, sinceat the same time students will be learning the mechatronics concepts, there is no added course load.Previous efforts have been made to standardize and improve mechatronics and robotics curriculum1-4 . Additionally, relevant interdisciplinary mechatronics projects within the realm of mechanicalengineering include the
Aviation embodies crucial progress in human advancement. It is a cardinal component ofglobal mobility that facilitates the movement of people, essential commodities, and services andstrengthens socioeconomic links. Consequently, it has emerged as an integral part ofcontemporary society, contributing significantly to cultural interchange and the global economy. However, in recent decades, aviation has undergone steady growth. In 2025, theInternational Air Transport Association (IATA) projects that passenger demand (RevenuePassenger Kilometers) will increase by 8.0 percent [1]. Additionally, IATA predicts that for thefirst time in the history of commercial aviation service, the number of passengers is anticipatedto surpass an unprecedented
GraphBased Dynamics Modeling Using Graph Grammars and Tree Search,” in IMECE2016, Volume 5:Education and Globalization, Nov. 2016. doi: 10.1115/IMECE2016-66110.[6] T. A. Jaber, C. M. Courville, and H. T. Hearst, “BoGL: An Application for Generating BondGraphs,” Undergraduate Major Qualifying Project, Worcester Polytechnic Institute, May 2020.[Online]. Available: https://digital.wpi.edu/show/n583xx306[7] G. D. Battista, Graph Drawing: Algorithms for the Visualization of Graphs. Prentice Hall,1999.
opportunities and influential networks; and (3) the flexibilityto gift their time to projects offering little compensation. Based on interviews with 46 facultyfrom low-socioeconomic-status backgrounds, Lee [14] concluded that elite perspectives andexperiences are normalized on university campuses. Further, faculty from affluent backgroundsprivileged abstract knowledge over lived experience and refused to consider class as ameaningful source of inequality in academic life. This is consistent with Aldridge et al. [15] whoclaimed that academic institutional social norms are rooted in upper-class elite culture.Morgan et al. [16] studied the role of faculty’s childhood socioeconomic status, revealing “thatthe professoriate is, and has remained, accessible
, sexual orientation, gender, and engineering identities. H´ector’s research projects range from autoethnographic inquiries that investigate culturally informed collaborative qualitative research spaces, neurodivergence and disability in engineering, and examining the structural factors that impact student experiences in computer engineering courses. H´ector has taught various engineering and computing courses, showing learners he cares about them and their future success by fostering a space where learners can feel safe to experiment, iterate, get messy, and try different problem-solving approaches while encouraging criticality of their professional practice, leading to holistic solutions for a broader range of
present study, I employed social identity theory as a lens toexplore how men faculty allies make meaning of their own status as members of the gendermajority while simultaneously advocating for women in their departments. Given that the focusof this paper is on mitigating behaviors (which requires some degree of identity management)that are harmful to gender equity efforts (i.e., a unique social context), social identity is avaluable and appropriate frame to leverage.MethodsData from this study comes from a larger project that aimed to better understand the 31 menfaculty participants who identified as gender equity allies for undergraduate women in theirSTEM disciplines. Findings from that study resulted in a typology of allyship based on
Society for Engineering Education, 2025 Academic habits that drive student success - an XAI approach to action-state modeling Ismail Uysal, Rifatul Islam, Paul Spector* & Chris Ferekides Dept. of Electrical Engineering, *Dept. of Psychology, University of South Florida Tampa, Florida, United States Abstract This paper presents the third-year results of the work supported by the National Science Foundation’s Revolutionizing Engineering Departments (IUSE/PFE: RED) Program under the project titled "IUSE/PFE:RED: Breaking Boundaries: An Organized Revolution for the Professional Formation of Electrical Engineers." The study looks at action-state orientation and its impacts on student success
computing in machine learning, embedded systems, FPGA for DSP applications, and computer security. He has received numerous awards for teaching excellence and 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 Assessing ChatGPT-4o for AI-Assisted Problem Solving in Electric Circuits TeachingIntroductionElectric Circuits is a core course in Electrical Engineering and serves as a prerequisite for manyadvanced courses. The second half of the Electric Circuits course typically covers key topicssuch as Laplace
effectiveness of the module, students were assessed through project presentations. Additionally, feedback was collected through discussions to gauge student engagement and learning outcomes.The results of this educational initiative were overwhelmingly positive. Students reported astronger ability to apply theoretical concepts to practical scenarios. The hands-on, interactivenature of the module was particularly praised for making the learning experience moreengaging and impactful.ConclusionThe research presents case studies and simulations of the impact of tower footing impedanceusing Matlab/Simulink which can benefit both undergraduate and graduate students, and earlycareer engineers in ensuring the dependable integration of renewable energy
upcomingcurriculum adjustments.6. Conclusion and RecommendationsBecause the FE data consistently shows a below-average performance on ethics questions, VMIcan consider alternative means to improve students' professional engineering ethical formationand, in turn, FE exam performance. First, VMI can consider tracking how students apply ethicalframeworks in capstone projects or internships to observe and evaluate the integration of ethicsinto engineering practice. Surveys or interviews with alumni can also offer valuable insights intothe long-term impact of ethics education on professional practice. Alternative approaches in theclassroom may include more case study analysis using codes of ethics, structured reflectiveessays to focus on professional issues
improved, and prerecorded lectures were created using aprofessional recording booth. The CLO were updated, and the course was realigned. Because ofthe modifications to the CLO, only the CLO that were the same for both study years arepresented. Additionally, during year 2 the semester-long report was broken into milestones toguide students more and give them more feedback throughout the project. The same assessmentswere used in both semesters. Rubrics were adjusted from year 1 to year 2 by changing theproblem points from 20 points to 10 points each. Similar rubric criteria were used both years.Each problem was worth 3% of the final grade in year 1 and 2% of the final grade due to theincreased problems, additional milestones, and increased focus on
molecules with desired properties, a subfield known as Machine Learning formaterials chemistry. Feature engineering, the process of finding a suitable representation of amolecule or crystal structure for Machine Learning models, is a critical aspect of this subfield.Comprehensive materials databases, like the Materials Project and Open Quantum MaterialsDatabase, provide access to abundant data, facilitating the discovery of new compounds.Composite materials, composed of two or more base materials, offer a vast design space andunique properties. Recent advances in additive manufacturing have expanded the possibilities forcreating complex materials with internal voids and multiple materials. Material science has shifted from purely
teaching the course since 2019, and teaches thecourse using a combination of traditional lectures, active learning, and flipped classroomtechniques. Students are provided with “skeletal” lecture notes that they complete and annotateduring in-person lectures or while watching online lecture videos. Participation in in-classlearning activities is encouraged through the use of a classroom response system (Top Hat).Lecture videos for all topics are made available online to the students for their review. Weeklyproblem sets are assigned and students take three in-class exams and a final exam. Students alsoparticipate in a group project involving the completion and evaluation of a mass and energybalance for a student-selected industrial process (e.g
health disparities? b. What motivated you to incorporate health disparities into your course? 2. Teaching Strategies and Learning Activities a. What learning activities do you use to integrate health disparities into your course? b. Can you provide an example of a specific lesson or project you use? c. How do you engage students in discussions or critical thinking about health disparities in BME? 3. Challenges and Barriers a. What are some challenges you face when incorporating health disparities into your course? b. Have you encountered any resistance from students, faculty, or administrators? If so, how have you
included weekly labreports with statistics-based analysis, weekly technical memos of concepts and devices testedduring lab, and final reports for long-term projects. Assignments were only disqualified fromresubmission if they did not meet a predetermined grade minimum, which varied by course level.There was no maximum number of assignments students could resubmit, but students wereallowed only one resubmission attempt per assignment. The courses evaluated in this study werelaboratory courses where technical writing assignments comprised over 80% of the final grade.Two courses with a combined total of 53 students were evaluated: one at the sophomore leveland another at the senior level. The grading rubrics used for these writing assignments
received $30 ascompensation for their participation. The transcribed recordings of the interviews werede-identified and reviewed for accuracy.Data analysisThree of the authors conducted the analysis of the IE interview data, supervised by anotherauthor serving as a research scientist. The analysis team used a combination of inductive anddeductive methods to analyze the interview data [26], [27]. The project leadership teamdeveloped prompts to focus the initial data analysis. Specifically, they developed guidingquestions that prompted the research team to synthesize information from the interview datarelevant to the research question for subsequent analysis. One of the members of the analysisteam read each of the 30 interview transcripts in full
faculty member at Northern Arizona University.Dr. Kyle Nathan Winfree, Northern Arizona University Dr. Winfree is the Associate Director for Undergraduate Programs in the School of Informatics, Computing, and Cyber Systems as Northern Arizona University. His research focuses on wearable technologies as applied to health assessment and rehabilitation.Dr. Corinna Marie Fleischmann P.E., United States Coast Guard Academy CAPT Corinna Fleischmann is a licensed Professional Engineer with military, academic and research experience in water resources engineering, environmental engineering, coastal resiliency, construction project management and engineering education. CAPT Fleischmann is a career educator who has been a
additional classifications are designed to supportfuture research into how students frame and justify ethical decisions. By evaluating theseresponses at scale, the study aims to develop more efficient and accurate instructor-friendly toolsfor assessing ethical reasoning in authentic, first-person contexts.Initial results suggest that locally deployed transformer models for text classification maysupplement quantitative ethical reasoning assessments like the EERI by providing additionalnuanced analysis of student ethical judgments. This project contributes to a growing body ofresearch on the use of text analytics for formative assessment in engineering ethics education,with implications for enhancing student learning and promoting ethical decision
meeting, the Fellows attended a Welcome Reception that included the planning committee, their primary mentors, and their lab mates.PD Workshop on Social Belonging: This lunch session was based upon the work of Walton and Cohen [16]and adapted from the Project for Education Research That Scales (PERTS)[17]. The planning committee asked current graduate students from GERS and the MRSEC to submit a short, written story about a challenge they had in graduate school and how they dealt with that challenge. The FF were given the stories to read and asked to discuss which stories stood out to them and whether they would have done something differently. Then the students were asked to write their own reflection about a challenge they
towardsthe Society 5.0 global vision. Coupled with the use of conscious, ethical Artificial Intelligence tools (ChatGPT, JasperAI, Copilot, Gemini, etc.) and learning modalities (active/experiential/inquiry-driven, flipped-classroom, etc.) willempower students to individualize learning experiences/outcomes. However, e-learning must be supplemented byopen discussions [13], and project-based/textbook-based learning, especially for foundational subjects. Withinchemical engineering, core subjects and topics like calculus, transport phenomena, chemical thermodynamics,separation processes, and plant/process design (undergraduate capstone) must be taught through a mix of pedagogicalstrategies. Our results reveal an increase (especially since 2017
]. Available: https://doi.org/10.1007/s11409-008-9029-x[20] P. Winne and A. Hadwin, “Studying as self-regulated learning,” in Metacognition in Educational Theory and Practice, 1st ed. Lawrence Erlbaum Associates Publishers, Jan. 1998, vol. 93, pp. 277–304. [Online]. Available: https://www.researchgate.net/publication/247664651[21] J. A. Greene and R. Azevedo, “A Theoretical Review of Winne and Hadwin’s Model of Self-Regulated Learning: New Perspectives and Directions,” Review of Educational Research, vol. 77, no. 3, pp. 334–372, Sep. 2007. [Online]. Available: https://doi.org/10.3102/003465430303953[22] P. H. Winne, A. F. Hadwin, and C. Gress, “The learning kit project: Software tools for supporting and researching regulation of
is not utilizing identifiable data or biospecimens about aliving individual; therefore, 45CFR46.102 (e)(1)(ii) does not apply. Instead, IRB noted that the 5authors have a responsibility to oversee the project and ensure the ethical principles outlined inthe Belmont Report are upheld.3.2 Quantitative Analysis Results: Evaluation score comparisons3.2.1 Lab report score and rank comparisonsFigures 1 compare the GAI-generated scores to those assigned by human assessors (UTA, GTA,and faculty), with results ordered according to the human assessors’ rankings. Assessment resultsof lab writing assessors and the two GAI chatbots were broadly consistent, and their correlationcoefficients are computed
], [22],biology [23], [24], probability [25], social sciences [26], [27], and materials science [15]. Therehave been calls to integrate computational modeling, and the perspective of emergence ithighlights, across K-16 STEM curricula in general [28], [29] and specifically to make “one-to-many” computational models the backbone of the MSE curriculum [15]. However, prior work oncomputational restructurations have only designed learning interventions for specific topicswithin a subject. The course redesign reported in this paper is the first time that a project rootedin restructuration theory has taken on the task of redesigning an entire course.2.3 Prior workIn [1], we described the course redesign in detail, including conceptual explanations of
disabilities or engineering design course projects to design assistive devices. 5. Juvenile disciplinary services – which focused on rehabilitation of students with disabilities in juvenile detention as well as disrupting the school to prison pipeline. 6. Analysis of broader infrastructure, policy, and laws that did not contain any discussion of students in transition to adulthood and/or higher education.Once the final dataset was compiled, it was imported into Biblioshiny for analysis. Biblioshinyprovides a web interface for Bibliometrix, which uses a science mapping workflow to provide asuite of instruments for bibliometric analysis [28]. Biblioshiny is an interface friendly to non-coders and supports analysis from data upload
management course is segmented into three units of instruction comprising atotal of thirty 75-minute lessons. Unit One: Construction Management Fundamentalsencompasses fifteen lessons and is focused on project feasibility, programming and development,contractor selection, planning, execution, and project closeout. Units two and three comprise theremaining fifteen lessons and are primarily, but not exclusively, group work. To facilitatestandardization and material coverage among sections and instructors, a course-wide studentstudy guide is prepared and issued prior to each unit of instruction. For each lesson, theassociated Unit Study Guide provides specific lesson objectives, reading assignments, key terms,a note-taking outline, and practice
engineering into mathematics lessons effectively. • Time Constraints: Complex engineering problems require more instructional time than traditional mathematics problems. This aligns with findings by Moore et al. [12], who argued that the time demands of project-based learning and interdisciplinary curricula often conflict with the rigid pacing required in standardized K-12 education systems.Problem AdaptabilityA key finding emerged regarding the importance of problem flexibility. Participants from allgroups suggested modifications to enhance educational value and engineering authenticity. Forinstance, when discussing the water container construction problem, one engineering professorsuggested incorporating material science
is particularly pressing inengineering, as professionals often work on complex projects involving multicultural teams andinternational stakeholders [5], [23]. Global engineering initiatives, such as sustainableinfrastructure projects, exemplify the demand for collaboration across geographical and culturalboundaries. As Valeeva et al. [27] emphasize, international teamwork is now indispensable in theengineering profession, underscoring the need for these skills.Intercultural Competence in Graduate Education. Graduate-level engineering educationliterature has, to date, typically focused on either psychosocial experiences of graduate school(e.g., attrition and persistence [28], [29], [30], [31], [32], advisor matching [33], [34
self-determined behavior. "I valued engaging in scholarly Written Competence Indicates the respondent’s writing projects while in (Effectiveness and capability sense of accomplishment and graduate school." in academic writing) appreciation for developing scholarly writing skills, aligning with the competence subdimension. "By the end of graduate school, I Oral Competence Demonstrates the had developed the ability to (Proficiency in oral
gender-inclusive STEM practices, cross-culturalapplicability, and alignment with educational standards. Similarly, Beals and Bers [12]highlighted the importance of tailored communication tools and cooperative play to alignvirtual activities with children’s developmental needs. VWs provide unique opportunities for fostering creativity, ethical decision-making, andcivic engagement. Bers [15] explored the Zora VW as a praxis-based environment,demonstrating how open-ended tasks and interactive learning promote critical thinking andcivic knowledge. Similarly, Beals and Bers [16] evaluated the ClubZora project, highlightingthe role of user-driven design and safe spaces in fostering engagement and inclusivity. Malallah[13] emphasized purposeful