Paper ID #45709Work In Progress: Remote FPGA Lab - An Interactive Online Environmentfor Teaching FPGA Development FundamentalsMr. Ze Yang, University Of Toronto A master of engineering student at University of Toronto.Dr. Hamid S Timorabadi P.Eng., University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the application of digital signal processing in power systems. ©American Society for
problems in computer networking algorithms. Currently, her research focuses on developing pedagogical practices to enhance debugging skills for beginner programmers and utilizing natural language processing in engineering education. She believes that engineers learn by doing, which makes her committed to engaging students through in-class activities and problem-solving assignments and projects. She strives to create inclusive learning environments for all students from different backgrounds.Dr. Fatemeh Jazinizadeh, University of TorontoDr. Hamid S Timorabadi P.Eng., University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked
Paper ID #47761Assessing ChatGPT 4o for AI-Assisted Problem Solving in Electric CircuitsTeachingDr. Bin Chen, Purdue University Fort WayneDavid S Cochran, Purdue University Fort WayneJeffrey Andrew Nowak Ph.D., Purdue University Fort WayneGuoping Wang, Purdue University Fort Wayne Guoping Wang, Ph.D. is an Associate Professor in the Department of Electrical and Computer Engineering at Purdue University Fort Wayne. He earned his Ph.D. from the University of Oklahoma in 2003, following a Master’s from Nanjing University and a Bachelor’s from Tsinghua University. Dr. Wang’s research interests include the Internet of Things, edge
Associate Professor with the University of Tennessee, Knoxville, TN, USA. He is also a member of CURENT and a Fulbright Fellow.Francisco Zelaya-Arrazabal, University of Tennessee, Knoxville Francisco Zelaya-Arrazabal is a Ph.D. candidate in Electrical Engineering at the University of Tennessee, Knoxville. He received his B.Sc. in Electrical Engineering from ’Jos´e Sime´on Ca˜nas’ Central American University, El Salvador, and his M.Sc. in Electrical Engineering from the National Autonomous University of Mexico (UNAM), Mexico.Dr. Erick S. Vasquez-Guardado, University of Dayton Erick S. Vasquez-Guardado is an Associate Professor in the Department of Chemical and Materials Engineering at the University of Dayton. Dr. Vasquez
Grant that established the Center of Excellence in Signal Integrity at Penn State Harrisburg, a $440K MRI NSF grant, a Volvo industrial grant and DURIP grant.Dr. Sedig Salem Agili, Pennsylvania State University, Harrisburg, The Capital College Sedig S. Agili received his BS, MS, and Ph.D. in Electrical and Computer Engineering from Marquette University in 1986, 1989, and 1996, respectively. Currently he is a Professor of Electrical Engineering teaching and conducting research in signal integrit ©American Society for Engineering Education, 2025 Further Signal Integrity Experiences in Undergraduate Education 1AbstractSignal integrity has been identified as one of the key areas for scientific
/PFE:RED 2234256. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation. We would also like to thank Redwood Consulting Collectivefor their work in adapting and administering the survey, and our student respondents forcompleting it.References[1] National Science Board, “Science & Engineering Indicators 2016,” National Science Foundation, 2016.[2] K. Beddoes and A. Danowitz, “In Their Own Words: How Aspects of Engineering Education Undermine Students’ Mental Health,” in ASEE 2022 Annual Conference & Exposition, Minneapolis, 2022.[3] A. Danowitz and K. Beddoes, “Characterizing Mental Health and
, theiracademic records exhibit significant differences that warrant careful consideration. First, directlymatriculated students typically completed ECE 301’s core pre-requisites (such as Physic II andCircuit Analysis) at the focal institution. This provides a detailed record of their proficiency, re-flected through a range of letter grades. In contrast, transfer students often bring in credits for pre-requisites (shown in Figure 3), which are recorded as a “T” (transfer) on their academic records.This limits insights into their knowledge acquisition and retention. Second, the academic record’sability to capture students’ academic histories differs between groups. Transfer credits are recordedin the semester they are recognized by the focal institution
continue to collect survey data from electrical engineering students(sophomore to senior) and study how the feature rankings change after students go through in-class or Canvas interventions with mini-courses on acquiring better study habits founded uponthe theory of action-state orientation. Our next hypothesis will focus on whether low GPAstudents’ survey responses become more robust predictors of their academic success (asindicated by SHAP summary plots) as they go through such trainings.References Bakoban, R., & Aljarallah, S. (2015). Extracurricular Activities and Their Effect on the Student's Grade Point Average: Statistical Study. Educational Research and Reviews, 10(20), 2737-2744. Borup, D., Christensen, B. J., Mühlbach
quizzes and exams. • The LLM always gives itself a perfect self-assessment score. This could have disastrous consequences for students who blindly use LLMs without verifying the veracity of the presented solution(s), especially if the students trust that the self-assessment by the LLM.After the LLM completed all quizzes and exams, the LLM was determined to have earned an Ffor the course, as shown in Table 1. However, if we were to assume that a student only used anLLM on their assessments and completed all labs, that student may achieve an average grade inthe class. An average student is expected to earn 90% in the lab portion of the class. Looking atTable 2, an average lab grade of 90% would allow an average student using only
Total (m/s) (W/m2 ) (KW) (KW) (KW) (KW) (KW) (KW) Psource Pload 5 800 0 9.62 21.23 8.97 11.94 9.94 30.85 30.85 5 600 0 7.08 23.77 8.97 11.94 9.94 30.85 30.85 5 300 0 3.35 27.50 8.97 11.94 9.94 30.85 30.85 10 300 4.32 3.35 23.18 8.97 11.94 9.94 30.85 30.85 12 300 6.90 3.35 20.60 8.97 11.94 9.94 30.85 30.85 15 300 10.03 3.35 17.47 8.97
(POWERCON), Guangzhou, China, 2018, pp. 351-357, https://doi.org/10.1109/POWERCON.2018.8601968.2. S. Xin, Y. Li, T. Li and Y. Lu, Single Phase Ground Fault Locating Method of Multi-Branch Wind Farm Collector Lines, 2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE), Chengdu, China, 2021, pp. 1-5,3. https://doi.org/10.1109/CIYCEE53554.2021.9676887.4. T. Kandil, Investigation of the Impact of Fault Characteristics on the Cost-Effectiveness of Doubly Fed Induction Generator-Based Wind Systems in Withstanding Low-Voltage Ride- Through. Sustainability 2024, 16, 5812. https://doi.org/10.3390/su16135812.5. M. Dooley, J. Mraz
capabilities or the ASK (affect, skills and knowledge) towards theprogram they are enrolled in to accomplish. The equation below- 𝑇 𝝈= A∗(K+S) (1)Where knowledge (K), skill (S), and affect (A) are three key factors deciding the human mentalcapability to tackle a perceived workload (T) related to a given task ensuring to keep a best stresslevel (𝝈) of the students in this given context. Maintaining the optimum stress level is importantfor students because humans perform best when their mental stresses are at an optimal level [22].Table 2. Comparison of goals, objectives, curriculum structure and overview of AI-Infused
. 5, pp. 2630–2643, 2024. [2] S. M. Holder, L. Hang, and B. K. Johnson, “Investigation of transmission line protection performance in an electric grid with electronically coupled generation,” in 2013 North American Power Symposium (NAPS), 2013, pp. 1–6. [3] IEEE PES Industry Technical Support Task Force and IEEE / NERC Task Force on Short-Circuit and System Performance Impact of Inverter Based Generation, “Impact of Inverter Based Generation on Bulk Power System Dynamics and Short-Circuit Performance PES-TR68,” Technical report PES-TR68, no. July, pp. 1–71, 2018. [4] M. Nagpal and C. Henville, “Impact of power-electronic sources on transmission line ground fault protection,” IEEE Transactions
users to our framework and measure theperformance overhead associated with scalability.10. References[1] Lin, Y., & Morton, T. D., & Schoeneck, S. C. (2024, June), “Board 84: A Teamwork-based Electrical & Computer Engineering Introductory Lab Course”, 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2—48384[2] Z. Putra and M. Dewi, "The application of problem-based learning in Mechanical Engineering," in IOP Conference Series: Materials Science and Engineering, 2018, vol. 306, no. 1, p. 012140: IOP Publishing.[3] E. A. Van Vliet, J. C. Winnips, and N. J. C. L. S. E. Brouwer, "Flipped-class pedagogy enhances student metacognition and collaborative-learning strategies in
is fed more course information.4.2.2 Qualitative DataAlong with each numerical score, the grader can leave comment(s) on the response as asupplement to the score. In the comments, the grader can either critique or complement theanswer. Across the evaluations, several key themes emerge from the comments. Some negativecomments mention lack of clarity and correctness of equations in the answers, with specificissues being messy or inconsistent formatting and terminology (e.g., “volume” instead of “area”).Graders frequently noted responses that failed to handle a poorly phrased question or questionsthat contained incorrect phrasing or assumptions. Positive comments were made about equations,wording of explanations, and alignment with the
Failure of Discovery Learning, Problem-Based Learning, Experiential Learning and Inquiry-Based Learning,” Educ. Psychol., vol. 41(2), pp. 75–86, 2006.[2] M. T. H. Chi et al., “Translating the ICAP Theory of Cognitive Engagement Into Practice,” Cogn. Sci., vol. 42, no. 6, pp. 1777–1832, 2018, doi: 10.1111/cogs.12626.[3] S. Freeman et al., “Active learning increases student performance in science, engineering, and mathematics,” Proc. Natl. Acad. Sci. U. S. A., vol. 111, no. 23, pp. 8410–8415, 2014, doi: 10.1073/pnas.1319030111.[4] J. Hattie, Visible learning: A synthesis of over 800 meta-analyses relating to achievement. 2008.[5] K. Loibl, I. Roll, and N. Rummel, “Towards a Theory of When and How Problem
pinball-based, cyber-physical testbed,” in NAECON 2023-IEEE National Aerospace and Electronics Conference. IEEE, 2023, pp. 110–115. [6] S. Bureau, “Rit students create pinball machines for history and design of pinball course,” January 15 2020, accessed: 2024-09-05. [Online]. Available: https://www.rit.edu/news/ rit-students-create-pinball-machines-history-and-design-pinball-course [7] D. Wong, D. Earl, F. Zyda, R. Zink, S. Koenig, A. Pan, S. Shlosberg, J. Singh, and N. Sturtevant, “Implementing games on pinball machines,” in Proceedings of the Fifth International Conference on the Foundations of Digital Games, 2010, pp. 240–247. [8] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering
learning methods, allowing a smoother and more gradual transition rather than anabrupt shift.Furthermore, funding is a significant consideration for institutions exploring VR adoption. Thework presented here was conducted using Oculus Rift S PC-powered VR gaming headsets, eachaveraging around $400 10 . Additionally, each headset requires a dedicated desktop, valued atapproximately $5000 in 2019, along with sufficient dedicated physical space for user interaction.These requirements make VR setups costly and space-intensive, limiting the number of studentsparticipating in VR-based learning at any given time.While high-end VR setups can be expensive, universities can explore alternative fundingstrategies to make adoption more feasible. For instance
one order of magnitude lowerwhen compared to a Raspberry Pi setup. Another platform is Forabot [31], an accessible robotic system for the imaging andsorting of microscopy fossils. In this article, we present a platform that takes advantage of these recent trends by producingan affordable, reproducible, and easy-to-use 3D imaging system. III. E MBEDDED D ESIGN For the implementation of the mussel imaging system, an ESP32-CAM module was mounted on a servo-motor platform.The ESP32-CAM is a compact camera module that features the ESP32-S chip, priced at approximately $10. It includes anOV2640 camera, several GPIOs for connecting peripherals, a microSD card slot for storing captured
Engineering Dept. Heads Assoc. (ECEDHA)Dr. Bruk T Berhane, Florida International University ©American Society for Engineering Education, 2025 Paper ID #47866 Dr. Bruk T. Berhane received his bachelorˆa C™s degree in electrical engineering from the University of Maryland in 2003. He then completed a masterˆa C™s degree in engineering management at George Washington University in 2007. In 2016, he earned a PhProf. Petru Andrei, Florida A&M University - Florida State University Dr. Petru Andrei is Professor in the Department of Electrical and Computer Engineering at the Florida A&M University and Florida
Metaphors:Implications for Educators,” International Journal of Engineering Education Vol. 35, No. 1(A), pp. 2–14,2019.[3] N. Hansu, K. Yao, A. Al Weshah, O. Olaogun, S Wang, “Work in Progress: The Electric Circuit ConceptsDiagnostic (ECCD),” Paper ID# 36966, ASEE Annual Conference, July 2022.[4] A. Espera, N. Pitterson, “Exploring Students’ Learning of Electric Circuits in Real-world Context,” PaperID# 32602, ASEE Virtual Conference, July 2021.
instructors, willhelp ensure that it meets the evolving needs of the learners and educators in the digital age.Acknowledgements:This work was financially supported by Affordable Materials Grants (round 24, Grant # M238),sponsored by the Board of Regents of the University System of Georgia. The authors would alsolike to acknowledge the contributions of Jessica Susanto, an undergraduate student at KennesawState University, who has helped with the App development, and contributions of Sheila Hill, andDr. Hoseon Lee in the process of base question development.References: [1] B. J. Skromme, R. Gupta, T. Nasim, C. J. Redshaw, B. Miller, P. Andre, H. Erives, D. Bailey, G. Wilkins, S. K. Bansal, M. A. O'Donnell, and W. M. Barnard, "Advances in
-Report-2020, 2020.[2] UN Sustainable Development Goals available at https://sdgs.un.org/goals [Accessed January 10, 2025][3] A. Bielefeldt and N. Canney, “Humanitarian aspirations of engineering,” Journal of Humanitarian Engineering, vol. 4, pp. 8 – 17, Mar 2016.[4] https://ieeeghtc.org/committee-biographies/how-ghtc-came-to-be/#:~:text=The%20committee's%20efforts%20resulted%20in,speakers%2C%20panels%20sessions%20and%20tutorials. [Accessed January 10, 2025][5] https://htb.ieee.org/ [Accessed January 10, 2025][6] Urquizo, J., Lansdale, D., Singh, P., Chen, S., Henderson, L., Pierre, K., Sowe, G., Cooper, K., Cordova, J.and Martin, C. “Improving the Quality of Education on the Galapagos Islands through a CommunityIntranet”, Procs. 2018 IEEE
], output);26 printf("%d -> %s\n", test_values[i], output);27 }2829 return 0;30 }31323334 #include 35 #include 3637 void sDec2BCD(int32_t hex, char *dec) {38 // Handle out-of-range values39 if (hex < -9999 || hex > 9999) {40 dec[0] = ’*’;41 dec[1] = ’.’;42 dec[2] = ’*’;43 dec[3] = ’*’;44 dec[4] = ’*’;45 dec[5] = ’\0’;46 return;47 }4849 // Handle negative numbers50 int32_t abs_hex = (hex < 0) ? -hex : hex;51 int is_negative = (hex < 0);5253 // Convert integer to individual digits54 int d4 = (abs_hex / 1000) % 10;55 int d3 = (abs_hex / 100) % 10;56 int d2 = (abs_hex / 10
. Additionally, studentsare presented with a wealth of opportunities in the form of the range of roles an individual cantake and the variation in compensation levels. Students are also exposed to a barrage ofinformation about ideal timings for an engineer to switch jobs to remain productive, relevant, andcompensated fairly. Thus, by developing self-directed and accessible career reflection skills andtools, we hope to enable our students to not only apply their technical skills and competenciesbut also to demonstrate agility and embrace change to pursue the career(s) they desire.References1. B. K. Jesiek and L.H. Jamieson, “The Expansive (dis) Integration of Electrical Engineering Education,” IEEE Access, vol. 5, pp. 4561-4573, 2017.2. E. Lindsay, R
; Exposition, 2013, pp. 23–171. [4] Steven Bell and Mark Horowitz, “Rethinking non-major circuits pedagogy for improved motivation,” in 2018 ASEE Annual Conference & Exposition, 2018. [5] Pengyue Guo, Nadira Saab, Lysanne S Post, and Wilfried Admiraal, “A review of project-based learning in higher education: Student outcomes and measures,” International journal of educational research, vol. 102, pp. 101586, 2020. [6] Zhiqiang Liu and Dieter J Schonwetter, “Teaching creativity in engineering,” International Journal of Engineering Education, vol. 20, no. 5, pp. 801–808, 2004. [7] “Atsam4s8b,” https://www.microchip.com/en-us/product/atsam4s8b, Accessed: 2025-01-13. [8] “Omnivision takes lead in mobile cameras with new 2-megapixel
beneficial. During Autumn 2023, in addition to knowledgetransfer, AGOH evolved into a social space where students could relax, connect with peers, seekcareer guidance, expand their professional networks, and stay engaged with the teaching team.This was particularly significant since many of these students belonged to engineeringdepartments other than that of the teaching team. Many of these connections persist even a yearafter the course has been offered.Beyond weekly instructor AGOH, EE 215’s main components include weekly TA-led labsections and office hours, regular homework, two midterm exams, and a comprehensive finalexam. By examining how AGOH affect students in our local context, we hope to inspireeducators to consider experimenting with and