by Walton and Cohen [23].Participants’ demographic information is collected using two open-ended questions: “What isyour major or intended major?” and “What is your gender identity?” on the pre survey. A fewopen-response questions prompted students to reflect on the sources of their growth, such as“What experience(s) in this course have contributed to your confidence in building circuits?” and“What did you learn from the practicum experience?” on the post survey. Also on the postsurvey, students were asked to respond on a 7-point Likert scale to the item, “After taking thiscourse, I'm more likely to incorporate electronics into my future creative or personal projects.”The complete survey instrument can be found in the Appendix.ResultsStudent
session, the objectives are todefine N+ source/drain regions on silicon wafers forNMOS fabrication process, and then selectively etch theN+ S/D regions for the following diffusion process. Bythe end of lab 6, student have completed total 21 differentsteps in the fabrication process. Throughout these Figure 7. Wafer status after Lab 6.processes, students use baking ovens, wet benches andmake use of chemical resistant personal protectiveequipments (PPEs).Lab Session 7: The objectives of lab 7 are to diffusePhosphorus dopants into N+ source/drain regions withinthe p-wells on the silicon wafer using solid dopantsources (Fig. 8), and then to characterize the electricalproperties of the
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graph-based cell structure and path safety margins. They are required to record the efficiency of the paths generated through these structures and discuss their observations; then, they must plot and compare the generated paths and the shortest possible paths derived from these graph structures. Graph-based Method S Edges Starting Point Obstacle Obstacle Nodes Target
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
questions. To determine if our collecteddata was normally distributed, we ran Shapiro-Wilk normality tests on all ECCE and IMMS datafrom both the experimental and control groups, both pre- and post-PBLA intervention. The Shapiro-Wilk tests yielded the following:Table 2. Shapiro-Wilk Test Results ECCE-PRE ECCE-POST Control Group S-W = 0.964, df = 71, p = 0.040 S-W = 0.938, df = 71, p = 0.002 Experimental Group S-W = 0.969, df = 120, p = 0.007 S-W = 0.962, df = 120, p = 0.002 IMMS-PRE IMMS-POST Control Group S-W = 0.942, df = 71, p = 0.003 S-W = 0.967, df = 71, p = 0.038 Experimental Group S-W = 0.951, df
solving sessions to engage students in a highly theoretical Random SignalAnalysis course.Research has shown that when students are in constructive and interactive modes of engagement,they gain deeper understanding of knowledge. To help students learn better, six interactive andactive problem solving sessions are incorporated in the Random Signal Analysis course. In eachproblem solving session, students are presented with one or multiple non-trivial problem(s).They work in teams of two while interacting with a table of eight students. While students areengaging with problem solving, the instructor and teaching assistants walk around the classroomanswering questions and giving feedback.At the end of each problem solving session, students complete a
-represented among those whocompleted the questionnaires and released data, compared to the course demographics. Of thosewho self-identified race, 161 (76%) were Asian, 50 (24%) were White, 10 (5%) wereLatino/Latina, 5 (3%) were Middle Eastern, 4 (2%) were Black, and 7 (3%) self-identified asmixed race or of another race(s). Of those who indicated the highest level of education completedby a parent(s), 26 (11%) were first-generation college students, defined as neither parent havingcompleted a bachelor’s degree.Questionnaire validation–ProcedureParticipants completed all measures in a Learning Management System over a 1-week periodbeginning the day their course grades on the first semester exam were released to them. Theyanswered all questionnaires
software design components.The Missouri University of Science and Technology’s (S&T) Electrical and ComputerEngineering (ECE) Cooperative Engineering Program (CEP) serves as a testbed for the project-based instruction implementation in multiple sequential courses.KeywordsElectrical and Computer Engineering, Project-Based Instruction.IntroductionCourse projects allow students to gain valuable engineering design and analysis skills that aim toprepare them for their chosen career path [1-4]. Past research has repeatedly demonstrated theneed for active project-based learning, which involves significant hands-on projects for deeperlearning and knowledge retention [3-4]. The goal of this paper is to suggest a basic framework toimplement project
teaching team to incorporate accessibility practices for Kulkarni’s course experience. Course and teaching assistant(s) Undergraduate and master’s students who are responsible for running office hours and leading lab sessions, among other tasks. They explored accessible learning methods with Kulkarni. Disability services officer (DSO) The accessibility manager at the disability services office at our academic institution. She created accessible, tactile diagrams for Kulkarni’s course material and coordinated
(2)where V is the potential difference across the resistor, I represents the applied current through theresistor, and R is the resistance of the resistor. Students were provided with device that includedthe ADALM 1000, breadboard, Alice software, resistor ratings of 300, 470, 680, and 120 W, aswell as connecting wires. The procedure was demonstrated by the instructor, and the studentsfollowed suit. Prior to the class, Alice software was installed on all of the computers. Differentresistor ratings were placed on the breadboard, and the ADALM 1000's channel A (CHA) andground (GND) were connected to both ends of the resistor using the breadboard and jumper wiresprovided. The ADALM 1000 device was connected to the computer via a USB cable. This
circuit that efficiently steps down a DC voltage to a new level. The basic principles discussedapply to other types of PWM converters. The buck chopper circuit is illustrated in Fig. 1. The circuit is controlled by cyclicallyopening and closing switch S. This periodic rate is called the switching frequency and drives the sizing of the circuit inductanceand capacitance. When the PWM signal is high, the switch S is closed. When the PWM signal is low, switch S is open anddiode D conducts. The amount of time that S is closed divided by the switching period is called the duty cycle. For an idealbuck chopper operating in continuous conduction mode (inductor current always positive), the output voltage is approximatelyequal to the duty cycle times the
, no. 2, pp. 2226-2236, Mar. 2024, doi: 10.1109/TSG.2023.3328383.14. L. Cui, Y. Qu, L. Gao, G. Xie, and S. Yu, "Detecting False Data Attacks Using Machine Learning Techniques in Smart Grid: A Survey," Journal of Network and Computer Applications, vol. 170, p. 102808, 2020.15. M. Faheem, M. A. Al-Khasawneh, A. A. Khan, and S. H. H. Madni, "Cyberattack Patterns in Blockchain-Based Communication Networks for Distributed Renewable Energy Systems: A Study on Big Datasets," Data in Brief, vol. 110212, 2024.16. O. O. Tooki and O. M. Popoola, "A Critical Review on Intelligent-Based Techniques for Detection and Mitigation of Cyberthreats and Cascaded Failures in Cyber-Physical Power Systems," Renewable Energy Focus, vol
traditional linear regression and thus necessitatesa regression method that accounts for clustering within a sample. ICC values can range from 0 to1, with higher values indicating stronger intergroup correlations and indicating the need forHierarchical Linear Modeling (HLM) methods. While the interpretation of ICC depends on thecontext of the study and the research question being addressed, ICC values greater than 0.1generally indicate that there is a significant amount of clustering in the data and that HLM maybe appropriate [40]. It is also important to note that the interpretation of ICC values should bedone in conjunction with other information about the study, such as the sample size andcharacteristics, the instrument(s) used, and the research
The steady magnetic field Magnetic forces, materials, and inductance (S parameter) Time-varying fields and Maxwell’s equationsIn response to the challenge of maintaining continuity between the electromagnetics course andits related prerequisite mathematics courses, LeTourneau University ECE department decided tomove the electromagnetics course from the senior to the junior year, advancing it by one yearstarting from the Fall of 2023. By running the course in a setting where both juniors and seniorstake it together, the authors have a unique opportunity to compare their achievements andanalyze any correlations between their performance
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
] zyBooks. http://zybooks.com/ (accessed April 2023).[13] S. L. Broschat, “Interactive software for undergraduate electromagnetics,” IEEE Trans.Educ., vol. 36, no. 1, pp. 123-126, 1993.[14] G. Hagerty and S. Smith, “Using the web-based interactive software ALEKS to enhancecollege algebra,” Math. Comput. Educ., vol. 39, no. 3, pp. 183-194, 2005.[15] S. L. Wood, “A new approach to interactive tutorial software for engineering education,”IEEE Trans. Educ., vol. 39, no. 3, pp. 399-408, 1996.[16] G. A. Krohn and C. M. O'Connor, "Student effort and performance over the semester," TheJ. of Econ. Educ., vol. 36, no. 1, pp. 328, Winter 2005.[17] J. Yuen, A. Edgcomb, and F. Vahid, “Will students earnestly attempt learning questions ifanswers are viewable
configurations, and more. The students are also asked to set up the physical interface between the NI myDAQ, the myDevBoard prototype board, and the DC motor. The completion of this laboratory exercise is assessed through successful simulation of the LabVIEW program and understanding of the NI myDAQ specifications and interface. B. Motor Identification and Modeling The goal of this experiment is to develop the transfer function of the lab DC motor. The open- loop transfer function to be obtained is: where K: motor’s torque constant (N/m/s) J: motor’s mass moment of inertia (kg m2) Ra: motor’s armature resistance (Ω) Bm
. Cherng, B. Q. Li, and N. Natarajan, "Development of a Mechatronics Course for SeniorMechanical Engineering Students," in 120th ASEE Annual Conference & Exposition, June 23-26,2013[2] H. Vasquez and A. A. Fuentes, "Integration of Sensors and Low-Cost Microcontrollers intothe Undergraduate Mechanical Engineering Design Sequence," in 120th ASEE AnnualConference & Exposition, June 23-26, 2013[3] M. Barger and R. Gilbert, "New Mechatronics Education Initiatives in 2-year Programs," in2018 ASEE Annual Conference & Exposition, Salt Palace Convention Center, Salt Lake City, UT,June 24-27, 2018[4] S. A. Yost and D. D. Maggio, "The Mechatronics Road Show: Building on Success inMechatronics Curriculum Development," in 2004 American Society for
addition, an initial assessment indicates that students had better understand of microelectronicdevices and applications when they are learning them through visual representation methods.References[1] ABET homepage; https://www.abet.org/accreditation/accreditation-criteria/criteria-for- accrediting-engineering-programs-2018-2019/[2] Charyton, C., Jagacinski, R. J., Merrill, J. A., Clifton, W., & DeDios, S. (2011). Assessing creativity specific to engineering with the revised creative engineering design assessment. Journal of Engineering Education, 100, 778-799.[3] Dewulf, S. & Baillie, C. (1999). CASE: How to foster creativity. London, UK: Department for Education and Employment.[4] Kazerounian, K., & Foley, S. (2007
of these tools with ensuring students developfoundational skills through active engagement. Thoughtful course design and active mentorshipare essential to managing AI’s impact. This helps to ensure that it is a tool that enhances ratherthan diminishes the learning experience. Moving forward, we will continue exploring newapproaches on applying AI tools in our courses.References[1] S. Shailendra, R. Kadel and A. Sharma, "Framework for Adoption of Generative ArtificialIntelligence (GenAI) in Education," IEEE Transactions on Education, 67(5), pp. 777-785,(2024).[2] T. Adiguzel, M. H. Kaya, F. K. Cansu, “Revolutionizing education with AI: Exploring thetransformative potential of ChatGPT,” Contemporary Educational Technology, 15(3), ep429,(2023
during times of crisis. It highlights the importance ofadaptability, innovation, and a student-centered approach in overcoming educational barriers,ensuring that learning remains effective and relevant in any teaching environment.REFERENCES[1] S. Pasricha, “Embedded Systems Education: Experiences with Application-Driven Pedagogy,” IEEE Embed Syst Lett, vol. 14, no. 4, 2022, doi: 10.1109/LES.2022.3175686.[2] S. Pasricha, “Embedded Systems Education in the 2020s: Challenges, Reflections, and Future Directions,” in Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI, 2022. doi: 10.1145/3526241.3530348.[3] A. Shoufan, “Active Distance Learning of Embedded Systems,” IEEE Access, vol. 9, 2021, doi: 10.1109/ACCESS
(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
some cases, a single essay is all the evidence an institution canaccess to plan DEI interventions and improve academic programming. Our recommendation foraddressing the STEM pipeline leak is to create a system to track students that fall out of formalSTEM pipelines. The system can assist the student to return to the pipeline if the student desires.The system will support the student to secure employment in the engineering discipline.References[1] L. L. Crumpton-Young, S. Etemadi, G. E. Little, and T. D. Carter, “Supportive practices used with underrepre- sented minority graduate students,” in 2016 ASEE Annual Conference & Exposition, no. 10.18260/p.25979. New Orleans, Louisiana: ASEE Conferences, June 2016, https://peer.asee.org
0 0 1 0 1 0 1 0 1 1 1 0 0 1 1 1 1 1 1 Table 1. Truth Table of a Full AdderA 4-bit parallel subtractor can be devised using four full adders, as depicted in the diagram below.This configuration executes the subtraction operation based on the principle that adding theminuend and the complement of the subtrahend yields the same result as subtraction.To subtract A from B, we derive the 2’s complement of B by taking the 1’s complement and
document showing the circuit and resulting measurement(s). (maximum three tokens) ● Create a video demonstrating the solution to a problem similar to the requested reassessment.Theworkcanbedoneonpaper,awhiteboard,oranelectronicdevicesuch as a tablet or iPad. The video must include words describing the solution. (maximum three tokens) ● Buildacircuitinlabtotestthesolutiontoaproblemsimilartotherequestedassessment. (maximum three tokens) he experiment proved to be quite successful, as the grades more accurately
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
Mathematics Program (S-STEM) program supports institutions of higher education to fundscholarships for academically talented low-income students and to study and implement aprogram of activities that support their recruitment, retention and graduation in STEM.Scholarships in STEM Network (S-STEM-Net) program supports both the creation of a resourceand evaluation center for the national S-STEM community and research hubs to study theconditions for the success of low-income undergraduate and graduate STEM students.Programs from the division of graduate education (DGE) [10]There are four DGE programs that are related to engineering education. The goal of the NSFResearch Traineeship program (NRT) is to encourage the development and implementation ofnew