College Students’ Mental Health in the United States: Interview Survey Study,” Journal of Medical Internet Research, September 2020.[8] McKinsey & Co. Report, “Women in the Workplace,” 2021.[9] R. Finfrock and N. Klingbeil, “Examining the Impacts of the Wright State Model for Engineering Mathematics Education through Curricular Analytics,” ASEE Annual Conference and Exhibition, June 2023.[10] K. Watson, S. Sorby, E. Cady, and J. El-Sayed, “Engineering the Inclusive Mindset for the Future: A Blueprint for Systemic Change in Engineering Education,” National Science Foundation Award #2212721, nsf.gov., 2022. [Accessed February 6, 2024].[11] The Gallup-Purdue Index Report, 2014.[12] P. Kelly and B. Makh, “Course Design Institute
startup technology venture focusing on Augmented and Virtual Reality for creating immersive learning content. Hurriyet was a software engineer at Alcatel-Rovsing in Copenhagen, Denmark, developing software for American Airlines Data Network. Dr. Ok holds a D.Sc. Degree in Computer Science from the GWU, and M.S. and B.S. Degrees in Computer Science from Hacettepe University, Ankara, Turkey.Dr. Natalie B. Milman, The George Washington University Natalie B. Milman, Ph.D. is Chair of the Department of Educational Leadership and Professor of Edu- cational Technology at The George Washington University’s Graduate School of Education and Human Development. She is also a member of the interdisciplinary Human-Technology
course. Research into creating 20,21 and evaluating 22 concept maps canprovide guidance on creating one for other courses. Exam Question: A program in the (non-existent) programming language Eek, whose syntax looks a lot like C. This is a good program and it runs correctly. int a(int z, int y) { void main() { print(’a’) int w, x, y, z, t, u, v return y - z + 2 w = b(3) } x = a(w, 3) int b(int x) { y = b(x) print(’b
data-driven, or in other words, we allow themesto emerge from the data. Subsequently, we allow the research question to evolve through thecoding process. For thematic analysis, we draw on Braun and Clarke’ framework (2006) [16],which includes six phases (a) familiarizing/reading all data, (b) generating initial codes, (c)identifying initial themes, (d) reviewing and refining themes, (e) defining and naming thethemes, and (f) producing the report.Analysis and DiscussionThematic analysis of the data that captured transfer student experiences generated 17 initialcodes (548 coded text segments), from which four major themes emerged: universitycharacteristics, department academics, department support services, and student affectiveelements. Figure
, it does not provide any explanation of the analysis steps. As with SPICE, it can be used to verify students’ abilities, but not for teaching analysis or for tutoring purposes. B. Learning systems integrated with textbook-style resources. This category of learning tools has seen rapid growth and adoption in the past decade. From a teaching and learning perspective these tools are among the most powerful. For example, Mastering by McGraw Hill [20], Wiley Plus [21], and ZyBooks [22]. These tools typically have links into textbook materials or are embedded within textbook resources. Some of these systems include related studies reporting improved grades [23]. However, available systems do not provide detailed step-by-step
design competition revealed increasedsatisfaction amongst students, faculty, and industry partners. Following this, the TRUE modelwas adopted as part of the capstone design.In the summer of 2020, only two types of capstone projects were encouraged: (a) TRUEprojects and (b) Student-initiated projects that were reviewed and approved by a facultycommittee through a proposal system. By Spring 2023 (as of the writing of this work-in-progress paper), all capstone design projects in the department of EE have been converted tofit the TRUE project model, which means all capstone projects are real-world projects withindustry/community sponsors/partnerships. While this significant shift has been driven byanecdotal experiences shared by various stakeholders
% (C-) is a 0, a score less than 83% (B-) is a 1, a score less than 93% (A-) is a 2, and above 93% is a 3. • The second measure is assessed by a teamwork survey that gauges the efficiency of teamwork, collaboration, and the overall teamwork experience. Appendix I provides the full list of twelve survey questions. We have chosen question #7 (“Do you feel that your team has functioned effectively as a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives through the project experience”) as the specific measure. Note that although this survey question is directly taken from the ABET SO #5 language, we have
incomputer science. Instructor B identifies as a female Assistant Professor with a background inElectrical Engineering. For simplicity, we will refer to Instructor A’s class as section A, andsection B for Instructor B. Through bi-weekly meetings between the two faculty members, bothsections are kept in sync throughout the term. However, leveraging the flexibility offered by PNP,each faculty member can adopt their own teaching style or implement common active learningapproaches based on their teaching strengths and observations of the classes.For example, following Teplitski et al [8] and Aflalo [9], both faculty members implemented apre-exam, question writing activity. Students worked in small groups to review course contentand develop questions
. Survey Results on two 60-min recitations per week.e) Students’ performanceIn this section, we present the effectiveness of peer-led recitation on the students’ pass rate forthree semesters, fall 2022, spring 2023 and fall 2023. In this hardware course, students needgrade A or B to pass the course. We use the same teaching materials and course syllabus in thesethree semesters. Figure 9 shows the course pass rates of three semesters, fall 2022, spring 2023and fall 2023. The pass rate of spring 2023 is about 2% higher than fall 2022, while the pass rateof fall 2023 is about 6% higher than spring 2023. Figure 10 shows students’ peer-led recitationattendance rates for three semesters. The percentage of students who attended more than half
experience and feedback from the previous year’sworkshop. The agenda featured three discussion areas that emerged from the first workshop:enhancing the classroom experience; implementing sustainable, ethical, and beneficial projects;and barriers and opportunities. An overview of the sessions for Day 1 and Day 2 are shown inTable 1 and Table 2, respectively. Note that refreshment breaks and meals are not shown in thesetables.The bulk of the interactive discussion occurred during the “Discussion” sessions. These sessionswere split into two sub-sessions, “a” and “b”, with a break in between. The “a” sessions beganwith two or three brief five-minute presentations that introduced the topic and providedthought-provoking examples, followed by ample time
, vol. 65, no. 4, pp. 544-552, 2022, doi: 10.1109/TE.2022.3147099.[2] A. Godwin and A. Kirn, "Identity-based motivation: Connections between first-year students' engineering role identities and future-time perspectives," Journal of Engineering Education, vol. 109, no. 3, pp. 362-383, 2020, doi: https://doi.org/10.1002/jee.20324.[3] W. J. S. B. E. Hughes, E. Annand, R. Beigel, M. B. Kwapisz, and B. Tallman, "Do I think I’m an engineer? Understanding the impact of engineering identity on retention," presented at the 2019 ASEE Annual Conference & Exposition, Tampa, Florida, June 15, 2019, 2019.[4] M. S. Somia Alfatih, M. S. Leong, and L. M. Hee, "Definition of Engineering Asset
Paper ID #44314A Low-Cost Platform for Teaching Real-Time Digital Signal ProcessingDr. Joseph P. Hoffbeck, University of Portland Joseph P. Hoffbeck is a Professor of Electrical Engineering at the University of Portland in Portland, Oregon. He has a Ph.D. from Purdue University, West Lafayette, Indiana. He previously worked with digital cell phone systems at Lucent Technologies. ©American Society for Engineering Education, 2024 A Low-cost Platform for Teaching Real-time Digital Signal ProcessingAbstractThe STM32F746G-DISCO Discovery kit from
everything needed to perform six take-home labs. Students must demonstrate each labto the instructor or the grader. The Digital Operations course is followed by ProgrammableDevices. Students take it in the winter quarter of the second year or in their junior year if they aretransfer students. By this time, students have taken a Python course and therefore haveprogramming experience. The Programmable Devices course meets once a week for a 50-minutelecture followed by a three-hour lab. There are normally eight labs and one final project.Digital Operations Take-Home LabsThe purpose of the take-home labs is a) to help students view digital components as real and tohave them see that they work as presented in class, b) to have students learn about
completed; and thecategories of the students’ institutions (e.g. research universities vs. teaching universities vs.community colleges).References[1] K. Baier, C. Hendricks, W. Gorden, J. E. Hendricks and L. Cochran, “College students'textbook reading, or not,” in American Reading Forum in Yearbook 31, pp. 385-402, 2011.[2] M. A. Clump, H. Bauer, and C. Bradley, “The extent to which psychology students readtextbooks: A multiple class analysis of reading across the psychology curriculum,” J. Instr.Psychol., vol. 31, no. 3, pp. 227-232, 2004.[3] T. Berry, L. Cook, N. Hill, and K. Stevens. “An exploratory analysis of textbook usage andstudy habits: Misperceptions and barriers to success,” Coll. Teach., vol. 59, no. 1, pp. 31-39,2010.[4] B. Skromme and
provide insight into the relationship between studentengagement and achievement, and student background and demographic factors.References[1] B. Skromme and D. Robinson, “Addressing Barriers to Learning in Linear Circuit Analysis,” ASEE Annu. Conf. proc., Seattle, WA, June 14-17, 2015.[2] T. Berry, L. Cook, N. Hill, and K. Stevens. (2010). An exploratory analysis of textbook usage and study habits: Misperceptions and barriers to success. Coll. Teach. 59(1), pp. 31-39.[3] K. Baier, C. Hendricks, W. Gorden, J. E. Hendricks and L. Cochran. (2011). College students' textbook reading, or not. American Reading Forum. Yearbook 31, pp. 385-402.[4] M. A. Clump, H. Bauer, and C. Bradley. (2004). The extent to which
questions allow students to think through some in-class illustrativeproblem before lecture. Students attempt to interpret the probabilities and identify the goal. Thisway they will come to the class more prepared and better understand why the instructor chooses acertain approach in solving the problems. The review questions are also included to help studentsassess their previous learning in a timely manner. In addition, the instructor is able to review thequestion statistics before the lecture, hence to understand the common mistakes andmisunderstandings, and adjust the lecture coverage and deliverance accordingly. The preview-deliver-review cycle behind the quiz design is illustrated in Figure 4(a) with anexample given in Figures 4 (b-d). The
relates to field-effect transistors (FETs). The right response is “C” whichemphasizes how a transistor’s threshold voltage is affected by several variables, includingtemperature, manufacturing process, and the transistor’s physical dimensions (length and width). Figure 1: Three items related to semiconductor materialsOne kind of digital logic gate, the NAND gate, is the subject of Question 10. There are two inputs(A and B) and one output (Q) on a NAND gate. A NAND gate behaves as follows: it onlyproduces a 0 (LOW) output when both of its inputs are 1 (HIGH). Because the output of a NANDgate is only 0 when both inputs are 1, “A” is correct.3 ManufacturingTwo questions on the survey, as seen in Figure 3, focus on the
couple of common misconceptions. The twocircuits are asking for the same impedance; however, many students will struggle with circuit (a)while accurately solving circuit (b). Circuit (b) is drawn to emphasize the resistors are in seriesand the capacitor is in parallel with the combined resistors. Many students would incorrectly saythe total impedance of circuit (a) is the sum of the three impedances with reasoning that they areall in series. Developing this problem specifically to hit that common misconception, whenpresenting the correct strategy to obtain the total impedance, those misconceptions are discussed.Another circuit is quickly drawn to show what it would look like if the total impedance from thespecified terminals was a series
finally‘evaluating’ the results to document meaningful conclusions. Sample lab manual instructions anddatasheet for the analysis section of Lab Exercise # 2 are presented below.Exercise # 2 — I-V and P-V Characterization:Task II: Analysis:(a) Draw the equivalent circuit diagram for the I-V measurement under illumination and describe thecomplete measurement procedure. The circuit diagram must be hand sketched.(b) Plot the I-V and P-V curves for the solar modules and arrays using MATLAB.(c) Write a MATLAB script to compute/find the open-circuit voltage, short-circuit current, maximumpower, voltage at maximum power, current at maximum power, fill factor, and efficiency.(d) Complete Table 4.Table 4. PV parameters extracted by analysis of the experimental data
logging between 11-15 days: 19% Figure 2. Learning activities from Student A (above) and Student B (below) show the differences in the amount of time spent studying over 10 days and also the different levels of cognitive engagement based on Bloom’s taxonomy.Figure 3. Distribution of different Bloom’s taxonomy levels across different courses. MAE 8, CENG 15,CSE 8 and SE 9 are introduction courses to programming across four different engineering departments.ECE 5 is an introduction to electrical and computer engineering with hands-on projects and labs. Nano 11 isa lecture based introduction course to Nano Engineering.Preliminary Feedback from StudentsThe preliminary student feedback has centered around the productivity and effectiveness of the
://www.analog.com/en/education/education- library/software-defined-radio-for-engineers.html [4] J. -K. Hwang, "Innovative communication design lab based on PC sound card and Matlab: a software-defined-radio OFDM modem example," In Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. III-761.[5] K. VonEhr, W. Neuson, and B. E. Dunne, “Software defined radio: choosing the right system for your communications course,” In Proceedings of the 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana.[6] C. J. Prust, "An introductory communication systems course with MATLAB/Simulink- based software-defined radio laboratory," In Proceedings of the 2019 ASEE Annual
Luke F. Lester, an IEEE and SPIE Fellow, received the B.S. in Engineering Physics in 1984 and the Ph.D. in Electrical Engineering in 1992, both from Cornell University. He joined Virginia Tech in 2013 as the Head of the Bradley Department of Electrical a ©American Society for Engineering Education, 2024 Paper ID #41152Dr. Kenneth Reid, University of Indianapolis Kenneth Reid is the Associate Dean and Director of Engineering at the R. B. Annis School of Engineering at the University of Indianapolis. He and his coauthors were awarded the Wickenden award (Journal of Engineering Education, 2014) and
frequency, and the bits that enable theoutput. The Output Compare Registers, OCR1A and OCR1B for Timer 1, hold the bits that set the levels when the countertoggles its output and thus the duty cycle. OCR1A/B registers have 16 bits and OCR2A/B for Timer 2 have 8 bits. To have theArduino Uno produce PWM frequencies much greater than the default value of 980Hz and dynamically adjust the duty cycleat a reasonable update rate, these internal registers must be configured. This requires consultation with Arduino data sheetsand knowledge of making bit-level changes. This paper will document how that needs to be done and what are the limitations.The goal would be that students would have this part of the code provided to them, so they can instead focus on
the learning outcomes appraisal are also reflected in these reports. The PAIC meets and discusses these reports and develops its own recommendations for improvement. 3. By the end of capstone: a. All graduating students complete the graduating student survey. b. Members from the Industry Advisory Board (IAB) and other external examiners are invited to attend the oral presentations and demonstrations, called Demo Day, of all senior design projects. They evaluate the projects by completing the senior design form. c. External examiners are invited to interview graduating students, and to complete the Exit interview form. 4. At the end of capstone project, the PAIC meets to
their learning: An action research,” Ph.D. dissertation, ProQuest Dissertationsand Theses database, 2016.[5] A. Robinowitz, “From principles to practice: An embedded assessment system,” AppliedMeasurement in Education, vol. 13(2), pp. 181–208, 2010.[6] N. Alahmadi, M. Alrahaili and D. Alshraideh, “The impact of the formative assessment inspeaking test on Saudi students’ performance,” Arab World English Journal, vol. 10(1), pp. 259–270, 2019.[7] D. D. Dixson and F. C. Worrell, “Formative and summative assessment in the classroom,”Theory into practice, vol. 55(2), pp. 153–159, 2016.[8] P. Black, C. Harrison, C. Lee, B. Marshall, and D. Wiliam, Assessment for learning: Puttingit into practice. Open University Press, 2004.[9] K. Buyukkarci and S
mundane to students normallylike Ohm’s Law. The intention was to create videos that anyone with a minimal knowledge ofcircuits could come to and understand the content. Even more paramount was that students withno prior circuit knowledge could start watching at the beginning and learn basic DC circuitrelationships. (b) A large number of problem solutions for successSince this is a gate keeper course, to build a better background of the course, a large number ofproblems are solved for each section or new concepts. Some parts of them are solved duringclass time and the other are left in the homework and some others they are also supposed to solvethemselves.The delivery of the solutions:The problems were assigned in the beginning of a semester
block diagram of a full adder typically includes input labels A, B, and CIN, andoutput labels Sum and COUT. Figure 1. Full adderThe following table shows the truth table of a Full Adder: Input Output A B CIN SUM Cout 0 0 0 0 0 0 0 1 1 0 0 1 0 1 0 0 1 1 0 1 1
released reference manuals for our hands-on activities in a GitHub repository [21]. Themanuals include specific setup and connection diagrams and detailed instructions about theprocesses involved in conducting the hands-on activities. The manuals have been released under a Figure 2: Visualized baseline setup of lab infrastructure for some hands-on activitiesCC BY-NC-SA 4.0 license. More details about the license terms can be found on the CreativeCommons website [22].A list of our hands-on activities are as follows: Activity 1. Introduce Intelligent Electronic Devices (IEDs) a. Connect to an IED b. Learn interface software c. Communicate with an IED Activity 2. Introduce Remote Terminal Units (RTUs) a
Footprint of Technology and Commerce 3 2. Design Informed by Rare and Dangerous Materials used in Technology a. In Terms of the Environment i. Planned Obsolescence and Inaccessible Design ii. Recycling: Pros and Cons iii. Technology and Runaway Consumerism iv. The Environmental Advantages of Technology b. In Terms of Colonialism, Extractivism, Mining, and Human Rights c. In Terms of the Geopolitics of Materials iii. (Dis)ability, Access, and Human-Centered & Universal Design iv. Iterative Design v. UX Design vi. Interdisciplinary Design
negative impact of the quizzes onthe final grades, with an average reduction of merely 1.1 points out of 100, with a standarddeviation of 2.27.Figure 1 (b) shows a distribution of difference (grade with quizzes minus grade without quizzes)in final grade comparison among individual students. The figure clearly demonstrates that aslightly negative impact was a result of a combination of some students experiencing lower scoreswith quizzes factored in while others achieved higher scores. Specifically, approximately 62% ofstudents experienced a decrease in their grades, with an average decline of 2.34 points out of 100.Conversely, the remaining 38% of students saw an improvement in their grades, with an averageincrease of 0.91 points out of 100.Figure