91bachelor’s degrees and 11 master’s degrees, and that of a community college offering 65associate degrees and 44 certificate programs. To fill its community college mission, theinstitution maintains an open-enrollment policy. UVU has a high percentage of low-income(38%) and first-generation (37%) students. It also has a high number of non-traditional students(29%), students with spouses (35%) and/or children under age 12 (19%). Even though tuition islow, part-time attendance is high at 36% of degree-seeking students. These factors affect theoverall graduation rate, which is low at 33% (nationally standardized IPEDS rate for completionsin 150% time) and the overall 1-year retention rate of 67% for baccalaureate-degree seekingstudents.As an integral
office hours interactions we’ve everhad. This grading scheme strongly incentivizes students to understand and learn from theirmistakes. Students can engage with the material on a deeper level instead of arguing over points.Table 1: Learning outcomes for the course. Students had to demonstrate mastery of each LO acertain number of times to earn credit for that LO towards their final course grade.LO DescriptionModeling Generate differential equations to model physical problems and use the models to answer relevant questions.Slope fields Use slope fields to sketch differential equation solutions for given initial conditions (ICs).Separable
, forwhich Figure 1(b) shows the module connections. For recovering the message, Figure 2(a) showsthe block diagram of the ideal envelope detector, for which Figure 2(b) shows the moduleconnections. Figure 1(a) Generation of AM. A generated Figure 1(b) Module connections for schematic sinewave has a DC offset added. The of Figure 1(a) resulting signal is multiplied by a carrier sinewave. Figure 2(a) Envelope recovery arrangement. Figure 2(b) Module connections of envelope An amplitude modulated signal goes through detector a rectifier followed by a low pass filter to isolate the message signal.An image of the TIMS connected for this lab is shown in Figure 3. The TIMS rack systemconsisted of the following equipment: (a
the studentscompleting both courses is given in Table 1. All students were male; however, the classesincluded under-represented minorities and first-generation students. The average grade washigher than the average cumulative GPA of the students completing the course.The perceived technical competencies were aligned with the learning objectives of the classes, aslisted in Table 3. Students were asked to indicate their competencies on a 7-point scale, where 1indicates very weak and 7 indicates very strong. Students’ perceptions of achieved technicalcompetencies were solid; their assessments of learning in the areas of fluid mechanicsfundamentals, experimental, and computational methods were generally above 6 on a 7-pointscale. However, they
choose the grading option before the end of the semester at a specific deadline: 04/28/2020, 11/06/2020, or 04/30/2021. All deadlines, even in Spring 21, were before Final Exams.Description of SurveyOur study participants (second, third-, and fourth-year students who had taken at least one APMA course)completed a ~50-question online survey [1] early in Spring 22 semester about their experiences in APMAcourse(s) from Spring 20 to Spring 21 semesters. Survey questions were related to demographic data,motivation, technological tools/ applications used, office hours, help sessions, quizzes/tests in an onlinesetting, grading options, and questions comparing APMA courses with major-related core courses.Analysis Methods, Results, and
reopened at the start of the class so that students could take the third attempt duringclass time. The highest score of the three attempts was recorded in their grade book. • Classroom TeamworkStudents formed a team of 2 to 4 in the class time to collaboratively solve various problems in 10to 15 minutes’ time window. After the completion, all teams were given the opportunity to pick anumber between 1 and 6. A six-sided die was used to determine the winning team whoseselected number must match the generated number on the die. When more than one team had thesame generated number on the die, a rock-paper-scissors game was used to determine the finalwinning team. The winning team got the chance to present their work in front of the class. If
explained: “It's definitely damaged my learning experience, in some cases, where if I'm doing the idea generation portion, I do actually learn things like this is good, this is bad for this scenario or whatever. But if I'm just doing the technical side of things, trying to complete a task that I've already planned out, I don't really retain those methods as well. I'm just trying to make it work.” [Par. 1]In this example, Par. 1 acknowledges that his retention of knowledge varies based on the task athand. When using LLMs to help with the creative process, the participant believed this to be anacademically enriching experience. However, in technical applications such as implementing thecode outlined from the creative/planning process, the
programming and since we were mostinterested in programs focused on first-gen Hispanic students that are pursuing engineering degrees, wecross-referenced the universities that are part of our Academic Partnership Council (APC), 1 with HispanicServing Institutions (HSIs), and universities with the highest number of bachelor’s degrees awarded toHispanics. We examined a total of 16 universities and 7 community colleges.For the literature review, we focused on three different areas: a) Hispanic programs focusing on giving parents tools to support their children in school and/or college, b) research studies examining how familial relationships affected first-generation students in higher education, and c) research studies that
Analytical Calculus I 4MA 113 Analytical Calculus II 4 MA 113 Analytical Calculus II 4MA 211 Analytical Calculus III 4 MA 211 Analytical Calculus III 4MA 212 Differential Equations 4 MA 212 Differential Equations 4MA 311 Probability and Statistics 3 MA 311 Probability and Statistics 3CH 101 General Chemistry I 3 CH 101 General Chemistry I 3CH 103 General Chemistry I Lab 1 CH 103 General Chemistry I Lab 1CH 102 General Chemistry II 3 Technical Elective
utilized to build their unique “hands-on” applications. Thepaper’s focus is directed on the challenges and results from an urban and a ruralcollege. It will also report on student learning outcomes related to IIOT as well asproject opportunities to easily capture data from different independent sources andperform a variety of analyses on the data outputs relating to seeminglyunconnected/unrelated data sources in a single process analysis.Motivational RationalThe preparation of the I4.0 technical workforce as instigated and developed by theindustry itself provides valuable insight into targeted skills industry expects theirEngineering Technology professionals to possess. The LIMS accomplishes thisassignment by incorporating its complete rules
reported on, with key highlights informing thecontent of student focus groups detailed above [1]. Focus group participants were recruitedusing the survey instrument. For consideration for focus group inclusion, respondents couldchoose to forego anonymity and give their contact information within the survey instrument ormaintain anonymity by following up with a separate email to our program with their contactinformation. All information was stored in a central spreadsheet. Included with studentresponses was their availability for three predetermined focus group sessions. The spreadsheetwas sub-divided by availability, and then a random number generator was used to select eightfocus group participants within each time slot. Ultimately, the goal was
with software for his DSP book. He is a senior member of IEEE, IEEE Computer Society Distinguished Visiting Speaker, IEEE Region 4 technical activities member and Fellow of ISPE. He received Life time Achievement award from ISAM, Lloyd L. Withrow Distinguished Speaker award from SAE, Best Teacher award from ASEE, and Oakland University. He has organized many international conferences. He is the editor in chief of an International Journal of Embedded system and Computer Engineering and International journal of Sensors and applica- tions. He is the session organizer on ”Systems engineering” at SAE world congress for the past 15 years. His research interests are in Real time system, parallel architectures and computer
next lab report. Thissequential feedback led to significant and gradual improvement in their formal scientific writing. III. Survey AnalysisThe survey given at the end of the course had four main sections: Learning Goals, TeachingMethods, General Feedback and Experiments.In Section-1: Learning Goals, students were requested to rate the following four learning goalstatements between 1 and 5 (1-Low and 5-High).Section-1: Learning Goals 1. I have become intimately familiar with each apparatus used in the lab in order to collect precise as well as accurate data. 2. I have understood the techniques for determining the uncertainties in both measured and final values. 3. I have gained real-life valuable experience in
: Immerse STEM Teaching Fellows in an authentic, social justice oriented STEM Integration Experience 8Summer 2: Flint Experience• Science Concepts: Experimental design• Mathematics Concepts: Box and whisker plots, data analysis and representation• Engineering Concepts: engineering design process, optimization 9Flint Experience• Workshop lasted 6.5 hours• Session One: Introduce context and explore data from Flint homes• Session Two: Collaborative calibration table generation• Session Three: Informed design and iteration 10Flint Experience: SessionOne• Presentation of Flint story• Detailed Problem Statement
output (Figure 4c); for the pump state 3 is the input and state 4 is output (Figure 4d) and forthe boiler state 4 is the input and state 1 is the output (Figure 4e) completing the cycle. It should Figure 4f: Cycle Panel (Efficiency, BWR, work, heat transfer and other relevant cycle data)be noted to process the device outputs appropriately the user has to use right judgment and inputwork done to be zero for the heat transfer processes in the boiler and condenser, and heat transferand entropy generation to be zero for the isentropic processes assumed for the turbine and pumpto obtain the desired outputs.Once all the device outputs have been processed, the user can invoke the cycle panel and calculatethe efficiency (32.33%), back work ratio
, but only four majorthemes appeared. These are listed below, followed by the number of comments that supportedeach theme: 1. The unified/general/consistent problem-solving approach (9) 2. The focus on fundamentals (7) 3. Students are required to state their assumptions and document their work clearly (6) 4. The emphasis on defining a system for analysis (4)There were many comments on the weaknesses of the course (faculty members are always will-ing to point out what they consider to be a weakness), but the themes were much harder to iden-tify. In fact, there were no comments that were made by more than two faculty members, and insome cases, the articulated weakness conflicted with what other faculty members identified as astrength
,” Journal of STEM Education, vol. 15, no. 1, 2014.[10] Instructure, “Canvas by Instructure,” https://canvas.instructure.com. 2022. [Accessed 22Mar 2022].[11] K. Shryock and H. Reed, “ABET accreditation: Best practices for assessment,” in 2009Annual Conference & Exposition, 2009, pp. 14–148.[12] Instructure, “Canvas Developers Group,” 2022.https://community.canvaslms.com/t5/Canvas-Developers-Group/gh-p/developers. [Accessed 22Mar 2022.]Appendix A: Table of descriptions of selected successful tools General Description Purpose Inputs NotesBatch File A simple script using Microsoft To perform research and assessment Student information All written
virtual instrument functions. The virtual instrumentsinclude two channel voltmeter, two channel oscilloscope, two channel waveform generator, 16channel logic analyzer, and 2 fixed (+/- 5 V) dc power supplies, network analyzer and spectrumanalyzer11. Figure 1 shows the main window of the WaveForms software. The virtualinstruments are equivalent to more expensive desktop instruments when the board is connectedto a laptop computer through its USB port. The Analog Discovery board is low-cost andportable (about the size of playing cards). Figure 1: Main Window of WaveForms Software showing the Virtual InstrumentsThe Electrical Engineering Practicum is a cloud-based book16 with experiments that use theAnalog Discovery Board and electronic parts
Education, 2018 Evaluating Innovations from a Critical Thinking ApproachOne strategic initiative at Clemson University is to promote innovation and entrepreneurshipamong faculty and students. One of the channels for introducing students to innovation andentrepreneurship at Clemson University is a course offered through the General Engineeringprogram, ENGR 2200: Evaluating Innovations: Fixtures, Fads, and Flops. This generaleducation course was designed to actively engage students in deep thinking about therelationships between innovation and society. The goals of this class are two-fold: 1) studentsgain an understanding of how societal and technological trends drive innovation, and 2
printed beam and a low-cost accelerometerThe topics for the flip lectures included the following: • Introduction to Frequency Response/Bode Plots for Dynamic Systems • Bode Part 1: Sketching • Bode Part 2: Sketching Examples • Bode Part 3: Generating Bode Plots in Python • Bode Part 4: Interpreting Bode Plots (System ID) • Bode Part 5: Random Bode Problem Generator • Bode Part 6: Experiments on a DC Motor + Beam System • Digital Signal Filtering with ArduinoThe playlist for these videos can be found here: https://www.youtube.com/playlist?list=PL5C8qVtFmjvdDiLRgCW2u956zwqG24Z6O.Additionally, there was one live Q & A session before the exam covering the material fromthe flipped lectures.The 3D printed beam and
exemplified one common and one alternate use of an object, e.g., ashoe used for wearing is a common use; a shoe used as a plant pot is an alternate use. Then,we asked attendees to list as many possible alternate uses for the experimental items as theycould. In the UST, participants were asked to put themselves in a hypothetical situation andto generate unusual solutions and ideas to the presented problems, e.g., "What would happenif an ice-age suddenly occurred?".2.3 ProcedureOur study included two phases (see Figure 1). In the first phase, participants underwent aneligibility test to determine whether fluctuations in their EDA levels were detectable inresponse to a range of stimuli. We challenged students with questions that included puzzles
experiments working from home by remotely accessing theexperiments.The remote lab is an integrated hardware platform consisting of a motherboard with a PC-basedoscilloscope, variable power supply, logic analyzer, and function generator. A series of traditionalEE lab experiments plug into the motherboard. Remote users access the experiments through aremote desktop connection to a lab PC that provides the communications link to the motherboard.Each experimental daughter board consists of all of the basic circuitry as well as additional circuitryenabling circuit parameters to be changed, parts to be swapped out, and wiring errors to beintroduced into the experiment.It is our intent to expand this program by establishing an open-source consortium. Anyone
Assessment Pedagogy •How can we •How will it be measure delivered? learning?Figure 1 – CAPE ModelProblem StatementDesigning a curriculum for the next generation of construction professionals faces a lot ofchallenges, as the face of the industry is changing at a very fast pace. New concepts areintroduced, and new technologies are shifting roles from individuals to machines that canperform some of the tasks more efficiently, at a higher quality, and with a reduced exposure toaccidents. Established construction programs have to recognize, embrace, and lead this changein order to prepare their graduates to successfully interact
job expectations after graduation.ResultsSalary was named as the most important attribute by 35% of the respondents and was named asan important consideration by 82% of respondents. Benefits, work environment and companyculture were the next three rated attributes in descending order. Figure 1 shows the rankings ofjob expectations with the percentage of respondents naming the attribute on their submittedpoll. The results generally follow the literature reviewed, but one note of interest is theexpectation of a company vehicle as a benefit. This expectation ranked 7th overall, but is notknown to be an entry level managerial perk in most construction companies in Western CarolinaUniversity’s IAC.Figure 1 shows the top job attributes ranked
their lives. In addition, the millennial also wants to know that what they arelearning can somehow be connected to making society and the world a better place. This isprimary issue for millennials and one we feel is not necessarily addressed or addressed in detailin the classroom. Hence, our future efforts will more closely focus on how learning in physicsand STEM can be better linked to societal and global issues. We feel this may have amotivational effect on the millennial learner which in turn will serve as a factor which canenhance their learning within the physics and broader STEM classrooms.Bibliography[1] Shaw, Haydn (2013). Sticking Points: How to Get 4 Generations Working Together in the 12 Places They Come Apart (pp. 94-96
career professional is daunting for anyone, especiallywomen entering a technical field such as engineering. When encountering challenging, gender-based situations, women react in various ways, from ignoring the situation to leaving theengineering field completely. Through a literature review, this paper investigates conceptuallyaligning counterfactual thinking and career motivation theory for early career women engineers.Counterfactual thinking is the creation of alternative scenarios to events that already occurredand imagining different consequences or benefits. Career motivation theory aims to understandcareer plans and decisions. From these theories, this review explores the effects of counterfactualthinking on women engineers’ reactions to
multiple dimensions of identity using an intersectional lens toanswer three research questions: 1) Why did BSVEs join the military? 2) Why did BSVEschoose engineering? and 3) How do BSVEs enact their veteran, engineering, and racial identitieswhile in school? We find that family influences, a desire to be part of something bigger thanthemselves, and economics were factors in BSVEs’ decision to join the military. Technical jobsin the military that often included exposure to engineers and engineering problems led them tothe belief that as engineers, they would be able to solve many of the problems they faced whilemaintaining military hardware. All seven BSVEs claimed that their military and engineeringidentities were central, or nearly so, to their
oftraditional textbooks, although the latter were allowed to be used. Through short tasks thatwere designed to be initiated and terminated during in-classroom sessions, mostly to beworked in peers, we cover three general moments in the designed learning experience: ashort introduction, a discussion and a closure argument with general feedback by the end ofeach assignment.Each guide has different learning objectives: 1. Guide one: a. To distinguish sets that may or may not be subspaces of 𝑅𝑅 2 or 𝑅𝑅 3 , using GeoGebra for visualization. b. To construct linear combinations in 𝑅𝑅 2 and 𝑅𝑅 3 and identify the geometrical locus they define. c. To determine which vectors belong to the span of S for
, promoting work-life balance and global competition inthe manufacturing sector [12]. Nevertheless, looking into the areas where I4.0 is focused, onecannot miss noticing that these challenges are addressed to attract and retain the next generationof work force, both Millennials and Generation Z. Figure 1: Timeline of the four stages of industrial revolutionAccording to Pew research [13], the new generations, Millennials and Generation Z are raciallyand ethnically more diverse than the preceding generations. The rapid globalization alsodemanded the need for diversity and inclusion. Besides these factors, the new generations areexpected to be more educated than their predecessors. Converging all these factors, one canargue the new
high first-year to second-year retention rate. Average retention rates in engineeringfor students who are Pell-eligible are shown in Table 1, with Pell Grant eligible students showinglower retention rates for 2nd - 4th fall. Pell Grant eligible students represented 14% of the totalengineering undergraduate population during this time. It should be noted that first-generationstudents had the lowest retention rates of any group, with an average 4th fall retention inengineering of only 59%. First-generation students represented about 15% of the totalengineering cohort and in our most recent cohort, 57% of first generation students were also PellGrant eligible showing that our Pell Grant students were more likely to be first-generation thanthe