computing, and utilizing a unique large scalelocation dataset. In all these cases, the instructors were not the experts but acted more as guidesto graduate student learning.To foster co-created knowledge and a shared learning process, previous versions of this coursehad students add notes to a wiki during the semester. This shared recording space allowedstudents to reflect on and build off each other’s knowledge. Expanding on this constructivistapproach, the SCHOLAR model was introduced in the “emerging technologies” course for fallof 2023, focusing on generative AI. Instead of a wiki, each student built a tutorial about someaspect of generative AI and/or its use in scholarly research. Examples included: Gradio Library Tutorial
engagement and industry interest. The feedback received fromparticipants has been positive, highlighting the relevance and value of such a course in the field ofelectrical engineering. However, through careful consideration and reflection on the courseoutcomes, it became evident that there is an opportunity to enhance its impact further by integratingit with the principles of power system equipment design. A full course titled "Special Topics inPower System Equipment and Asset Management" is under development in either Fall 2024 orSpring 2025. This course will cover the design principles of essential power system componentssuch as transformers, overhead lines, cables, and switchgear, factors influencing their operation,failure mechanisms, and
series versus parallel connections of componentsfor circuits with medium complexity, such as the one seen in Figure 1. Utilizing the research onspaced repetition, the faculty member began drawing small circuits with commonly confusedelectrical connections and creating a poll within Microsoft Teams asking the students todetermine what was connected in series and what was connected in parallel. While this had beenthe first time the faculty taught this course virtually, it was the third term they taught the courseoverall. Reflecting on performance of past cohorts, the faculty member noticed a reduction inmistakes on reducing networks of electrical components throughout the term. Figure 1: Resistor network with medium
they must be used very efficiently. There is emphasis on synthesis to induce students to thinkof the hardware that is produced and help them understand concurrent and sequential code.Reflections on Teaching the Digital Operations LabsWe have taught the Digital Operations course with take-home labs for over 26 years. We havenever included HDLs in this course. Hence, we cannot assess how including HDL affectsstudents’ learning. What follows are some reflections on the take-home labs.Students earn points only if they can demonstrate a working circuit. On occasions there might beone or two students who fail to successfully demonstrate one out of the six labs in DigitalOperations. This, we have consistently observed, happens if a student starts
inflexibility; see, for example, [9]. The rigidity built intodegree attainment limits diversity within the engineering student body as a whole, and theLearning Loss experienced by incoming students multiplies these effects. It is not anoverstatement that an entire generation of engineering students could be lost due to a pandemic;and students traditionally underrepresented in engineering (namely women and underrepresentedminorities) are leaving at an alarmingly high rate. A reflection of the urgent need is a 2022National Science Foundation (NSF) Award to a partnership between the American Society forEngineering Education (ASEE) and the National Academy of Engineering (NAE) entitled“Engineering the Inclusive Mindset for the Future: A Blueprint for
that fails to adequately address current industry needs. Additionally,hands-on training, crucial for understanding the practical implications of securing interconnectedsystems, is often lacking in conventional lecture settings. This deficiency inhibits students fromgaining essential practical skills in identifying and mitigating cybersecurity risks within CPS andIoT environments, leaving them unprepared to tackle real-world challenges in the field. As aresult, there is an urgent need for innovative educational strategies that prioritize experientiallearning and reflect the evolving demands of the cybersecurity landscape within EE programs.On the other hand, the cybersecurity industry is grappling with a significant workforce gap, adilemma
theinstructor to stay informed.Improvements in planning and implementation will be brought about by more emphasis on theplanning activities in ECE 211 and improved guidance from Scrum Leaders and the instructor onhow to perform well during all stages of the project.Specifically, for future classes we will make the following improvements to the assessment: 1. Spend more time on Scrum Leader training for using the assessment rubric. We should aim to improve the reliability of their assessments. Similarly, instructors should check Scrum Leaders’ work as soon as possible and on a regular schedule. 2. Ask teams to reflect on how well they are fulfilling the team contract they signed.3.3 Assessment of ABET outcome 7 – Life-long learningThis is
recognize the ambassadors' development in highlyvalued skills in the workforce. This alignment not only underscores the practical value of theprogram in terms of career development but also integrates the program's objectives with broadereducational and professional standards.These badges symbolize achievement, acknowledging each ambassador's skills, training, andcontributions. These badges could be tiered, reflecting the increasing complexity and level ofinvolvement in the program – from basic awareness to advanced cybersecurity practices andleadership roles. There are several benefits to micro-credentials and digital badges, as outlinedbelow:1. Enhanced Career Opportunities: For student ambassadors, these digital badges and micro- credentials
large mid-Atlantic institution. As described at 2023 ASEE Annual Meeting, we spentthe past few years increasing the response rate to the end-of-course survey and aim in the longerterm to increase the proportion of students who self-report their attainment of the course learningobjectives as either “Good” or “Excellent.” After reflecting upon these results and learning lessonsfrom previous course offerings, we are now introducing strategies to increase student engagementfurther and attain department metrics for the course. Starting in Fall 2023, 13 activities wereintroduced to improve the course. The activities can be grouped into three categories: (A)Demonstrating the worth of the course to the students; (B) Making class fun; and (C
, M.S. Takriff, S.R.S. Abdullah, “Comparative study between open ended laboratory and traditional laboratory”, IEEE Global Engineering Education Conference (EDUCON), 2011.[18] K. Issen, “Open-Ended Design Problems”, Reflection in Engineering Education Workshop at University of Washington, 2017.[19] K.S. Cheruvelil, A.D. Palma-Dow, and K.A. Smith, “Strategies to promote effective student research teams in undergraduate biology labs”, The American Biology Teacher, vol. 82, no 1, pp. 18-27. https://doi.org/10.1525/abt.2020.82.1.18, 2020.[20] A.R. Emke, A.C. Butler, and D.P. Larsen, “Effects of team-based learning on short-term and long-term retention of factual knowledge”, Medical Teacher, vol. 38, pp. 306-311, 2016.[21] R. Ubell
Fig. 11. Additionally,the 6V to 4V transition was not smooth, unlike the test case with 20kHz PWM and 1kHz sampling frequency. Similar resultsare reflected in the Simulink simulation from Fig. 12. This phenomenon was anticipated from the duty cycle resolution issuethat 80kHz PWM frequency creates. OCR1A = 0 ∼ 99 1 ResolutionDutyCycle = = 1% (10) (99 − 0) + 1 Thus, the duty cycle cannot be expressed in a decimal form with 1% duty cycle
to improve student teamwork experience and academic performance in circuits analysis course Proceedings of the 129th American Society for Engineering Education (ASEE) Annual Conference and Exposition, 2022 https://peer.asee.org/40873[34] *S. Claussen, V. Dave. “Reflection and metacognition in an introductory circuits course,” Proceedings of the 124th American Society for Engineering Education (ASEE) Annual Conference and Exposition, Columbus, Ohio, 2017. https://peer.asee.org/28788[35] *B. H. Ferri, D. M. Majerich, N. V. Parrish, A. A. Ferri. “Use of a MOOC platform to blend a linear circuits course for non-majors,” Proceedings of the 121st American Society for Engineering Education (ASEE) Annual Conference and
results from the preceding analysis,including further interpretation of the results, and propose some possible explanations.Beginning with demographic variables, Asian students reported stronger beliefs in the value ofcollaborative learning compared to white students. This may reflect cultural differences inlearning styles, or the value placed on group harmony and collective effort. Additionally,Mechanical Engineering (ME) and Industrial Engineering (IE) students showed lowercollaborative learning beliefs compared to their counterparts in Electrical and ComputerEngineering (ECE). These findings suggest that there may be disciplinary differences in thevalue and integration of collaborative learning in different degree programs.Turning to other
explicitly emphasized in any of the approaches discussed above, yet it hasbeen argued they remain essential for fostering a successful semiconductor manufacturingenvironment [23]. How the approaches are embedded in the respective cultures, be it learningculture or a general one, for example, is an important element to examine whether thesemiconductor workforce preparation could succeed or not.Finally, this study should prompt a more in-depth reflection on the definition of the “talentshortage” in the semiconductor industry, and how HEIs policy follows and responds. Do theprograms discussed above solely seek to train high-level engineers, or does it encompass abroader spectrum, such as engineering technicians? If the latter is the case, how can we