for undergraduates onmedical imaging signals and systems, and students’ engagement with the developing technologyand perceptions of the course will be evaluated in addition to the course learning outcomes.Following the completion of the pilot we will expand to a multi-institutional evaluation.Ultrasound Educational Hardware DevelopmentOur team is developing a low-cost, high-precision, table-top ultrasound system optimized foreducation and student-led research. A CAD rendering of the first iteration of the system is shownin Figure 1. This is a modified version of ultrasound tank systems designed for limb imaging aspart of our research groups (Zhang et al 2015; Ranger et al. 2019). The system will consist of alow-cost ultrasound transducer
the preliminary survey data. The focus groups will be facilitated by SMEsubject matter experts to refine the topics in each knowledge block. The focus groupsessions will be recorded for further analysis. This will provide an updated version of theFour Pillars of Manufacturing Knowledge anticipated for publication and dissemination. 2Background InformationThe Four Pillars of Manufacturing Knowledge [1], (see Figure 1) was first published in2011. Mott et. al. [2] credits the process of developing the Four Pillars to the Society ofManufacturing Engineers (SME) through its Center for Education. Robert L. Mott isProfessor Emeritus of engineering technology
ultrasonic sensor and the code to initializethe exit gate ultrasonic sensor:Code 1.0 (Entrance HC-SR04 Code)Code 1.1 (Exit HC-SR04 Code) A standard servo is a device that controls position at a range from 0 to 180 degrees. Servos haveintegrated gears and a shaft that can be controlled with precision. The position of a servo andhow long it holds that position is controlled by sending a PWM (pulse-width modulation). Thewidth of the square wave depends on the length of time the PWM stays high. Varying widthsproduce varying positions in the servo.[1] For this project Parallax Standard Servos were used.Two sets were used for the entrance gate to position barriers which would block the entrance if aface mask was not detected and allow access if a face
to examine howentrepreneurship programs can foster an inclusive environment through understanding theperceptions of racially minoritized engineering faculty (i.e., persons who identify as AfricanAmerican/Black, Hispanic/Latinx, Native American/Alaskan Native, and NativeHawaiian/Pacific Islander) of an entrepreneurship program. Seven racially minoritizedengineering faculty of an entrepreneurship training program participated in 60-minute semi-structured interviews to understand their sense of belonging in the program and their experiencesrelated to respect and inclusion in the program. Two themes emerged from the data: 1) reducingstructural barriers and rectifying harsh climate conditions can improve participants’ overall senseof belonging
media analyses have limitations and ethical considerations, and this work is not meant tosupersede other forms of evaluation. Rather, our study explores the use of social media as apotential complementary source of data for practitioners. Our work has implications foreducators and institutions looking to develop low-impact ways to evaluate educationalprogramming in times of crisis and beyond. We hope that by presenting this work to otherresearchers and practitioners in engineering education, we will engage in mutually beneficialconversations around the pros and cons of using social media data and its potential applications.1 Introduction & BackgroundThe ongoing COVID-19 pandemic has had a huge impact on students' lives on a variety
Work2.1 AndromedaAndromeda is an interactive visual analytics tool that was originally designed to enable dataanalysts of all skill levels to explore multidimensional data [1]. Andromeda is available publiclyas a web application [2]. The application creates a scatterplotlike 2D visualization ofmultidimensional data using Weighted Multidimensional Scaling (WMDS) [3]. WMDS is adimensionality reduction algorithm that, given highdimensional data and variable weights asinput, can output a corresponding lowdimensional dataset that follows a “near == similar”metaphor. The variable weights represent how WMDS prioritizes the variable’s value whenoutputting the lowdimensional dataset. This means that two points in the projected scatterplotthat are
suggested.BackgroundAccording to a 2019 survey on exploring the workplace for LGBT+ physical scientists conductedby the Institute of Physics, Royal Astronomical Society and Royal Society of Chemistry, 28% ofLGBT+ respondents reported that they had considered leaving their job due to the discriminationthey faced in their workplace [1]. The same report also revealed that nearly half of the respondentshighlighted a lack of awareness of LGBT+ issues in the workplace. Unfortunately, LGBTQ+marginalization is also found in academia. Research shows that LGBTQ+ students in engineeringare more disadvantaged and face greater marginalization than their non-LGBTQ+ peers [2-4].Cech and Waidzunas [2] found that LGB students in engineering navigate a chilly climate wherehomosexuality
Using Logisim-Evolution and Basys 3Teachers in undergraduate programs often find it challenging to engage with students so thatmaterials and knowledge related to the subject matter are communicated in an efficient andmeaningful way. To address the effectiveness of knowledge transfer and to make the DigitalElectronics (DE) classroom experience more productive, several pedagogical approaches such asactive learning with a hands-on approach, scaffolding, project-based learning, authentic and real-world learning, simulation within the classroom environment, and teamwork have been found tobe effective [1]-[4]. Additionally, recent advances in technological tools have createdopportunities for a flexible curriculum that serves the
the author’s experience developing and teaching an undergraduateintroductory nuclear engineering course at the University of Florida that is suitable for studentsnot majoring in nuclear engineering. Table 1 shows the variety of institutions offeringintroductory nuclear engineering courses using data gathered from their public websites. Thecourses range from 1 to 3 credit hours and while some have mathematics and/or physicsprerequisites, others do not. The lack of standardization suggests that the design of the courses(number of credits, prerequisites, etc.) is unique to each institution’s needs. Table 1: Introductory Nuclear Engineering Courses Offered by Various U.S. Universities. Institution Course Title
methodology to generalize connectivity to sensing devices, thedevelopment of software capable of interfacing with the connected sensors, thedevelopment of software capable of translating data into meaningful information, and thedevelopment of software to send/receive data over LoRa to a cloud-based infrastructuremonitoring service. We aim to streamline the instrumentation of this device to enable anyscientific group to easily set up an instrumentation infrastructure to collect data over largegeographical footprints.Key words: IOT, LoRa, Sensors, Monitoring.Neither the entire paper nor any part of its content has been published or has beenaccepted for publication elsewhere. It has not been submitted to any other journal.1. IntroductionThe emergence of
compounded. The impact of living in poverty has far-reachingimplications. Certainly, the chronic stressors associated with poverty affect emotional andcognitive development, which leads students from poverty to experience higher levels ofdepression and anxiety; students raised in poverty also tend to be more impulsive and impatient[1]. In addition, students may not have been taught the implicit rules of etiquette and socialgraces [2], leading their interactions with peers and faculty to operate outside the academic andsocial norms. These abnormal, and generally perceived as negative interactions may produce alack of acceptance from these groups, which can harm academic performance [1]. Because low-income transfer students are also typically first
people worldwide playing video games [1]. Asignificant percentage of those 3 billion people were high school and college-aged [1]. Videogames are becoming a normal sight around the world. In the past decade, the world has seen theintroduction of budget-friendly SBCs (Single Board Computers), microcontrollers, 3d printers, andmassive contributions from the open-source community. [1, 2, 3, 4] This has made the design andimplementation of a DIY handheld video game console more affordable and realizable.The main component of the project consists of an SBC, an operating system to run on the SBC, aHID (Human Interface Device), a power system, a 3d printed case, a display, and speakers. TheSBC used in this project is a Raspberry Pi 4B, however almost
, instructors have been slow to adopt current research and best-practices inteaching methods [1], including online and virtual techniques, mostly due to the concern thatsuch a hands-on and innovative subject cannot be taught or learned through a screen. Due to theCOVID-19 pandemic, and the transition to Emergency Remote Teaching (ERT) [2], engineeringinstructors were forced to adopt new teaching practices, including technologies. This study tookadvantage of this opportunity by gathering data about the behavioral adaptations made byengineering instructors over the course of three semesters of the pandemic. The purpose of thisstudy was to understand the self-reported activities of engineering instructors during the COVID-19 pandemic, their perceptions of
chosenlabs were surveyed. Then, the materials provided to students about lab report assignments wereinvestigated using nine lab report writing outcomes defined in earlier studies. Finally, theprovided evaluation criteria of the lab reports were studied using the same nine outcomes. Thelab report writing outcomes used in the study include 1) address technical audience expectations,2) present experimental processes, 3) illustrate lab data using appropriate graphic/table forms, 4)analyze lab data, 5) interpret lab data, 6) provide an effective conclusion, 7) develop ideas usingeffective reasoning and productive patterns, 8) demonstrate appropriate genre conventions, and9) establish control of conventions for a technical audience. We concluded that
minority students [1-7]. Doctoral students effectively mentored by their advisors willexperience a lower risk of anxiety and depression and higher confidence [8-10]. Furthermore, aneffective mentoring relationship can improve doctoral students’ research skills and productivity[11-14]. On the other hand, ineffective mentoring from advisors can lead to graduate students’negative mentoring experience, which in turn leads to detrimental career and psychosocialconsequences, such as missed opportunities for career networking and undermining of researchconfidence [15]. Although faculty mentoring has enormous effects on doctoral students’academic careers and confidence, no faculty is born a natural mentor. Unfortunately, facultyadvisors generally do not
researchreduces some of the barriers to role-play activities being incorporated in the classroom from anassessment perspective.1. Introduction Algorithm-supported technologies have become increasingly common in the“technologized everyday” [1], all while affecting people’s personal and professional livesworldwide. In their personal lives, these technologies attempt to modernize friendships andintimacy in a more open, public manner [2]. In the professional world, efficiency, expandingproduction capabilities, and solving mundane tasks are some of the ways these technologies havebeen applied across domains [3]. However, there is increasingly less choice associated withinteracting with these systems. Users can opt into using some algorithmically
project that helped to prepare them for a capstone senior design project. This projectwill be improved, repeated, and expanded with future groups of students.Introduction Since long before the first airplanes were built, the wind tunnel has been used to describeaerodynamic principles. The first known wind tunnel was built by Francis Wenham in 1871. Inthe subsequent years the number of wind tunnels and the facilities that housed them slowly andsteadily increased until the Wright brothers’ historic flight in 1903. The number of wind tunnelsin use took off, as it were, as their value in aerodynamic research became apparent according toAnderson [1]. Simply put, the wind tunnel is a tool used by engineers to study air flow. The original designof
higher education to implement comprehensive, evidence-based, and sustainedapproaches to broadening the participation of students historically underrepresented in STEM(African Americans, Hispanic Americans, American Indians or Alaska Natives, NativeHawaiians or Other Pacific Islanders) primarily at the undergraduate…and post-baccalaureatelevels” [1]. To accomplish this, LSAMP focuses on five “program priorities [which] are…(a)increase individual student engagement, retention and progression to baccalaureate degrees forunderrepresented racial and ethnic groups, (b) enable successful transfer of underrepresentedminority students from two-year to four-year institutions in STEM programs (c) increase accessto high quality STEM mentoring and
(theory), which is contrasted with a focus onthe more practical components of the engineering profession (practice). An interest inemphasizing mathematics and science as a way to drive research and add rigour and prestige tothe engineering profession launched programs around the world in Engineering Science,Mathematics, Physics and Chemistry.This tension between theory and practice has been described by [1], who reviewed research onthe history of engineering education in the US, Germany, Britain and France. One such inquirywas from [2], who described different visions of engineering, including one held by those whoprioritized the relevance of “engineering theory” which included both the natural sciences aswell as the complex features of working
faculty.Preliminary findings suggest that F2F mentoring should focus on making a human connection,leveraging professional achievement, and establishing support networks. Successful completionof this work will (1) shift the conceptualization of mentorship in engineering to include theunique considerations of F2F mentoring and (2) help seed future discussions on preparing seniorfaculty to be mentors and junior faculty to seek effective mentorship from senior colleagues.introduction & motivationThe 2019 National Academies Consensus report, The Science of Effective Mentorship inSTEMM, defines mentorship as a “professional, working alliance in which individuals worktogether over time to support the personal and professional growth, development and success
and graduate researchers, and K-12 educators, has: (1) created, implemented, and examined over 100 standards-aligned robotics-based science and math lessons and (2) developed, practiced, and examined research-guided pedagogical approaches for science and math learning using robotics. He received NYU Tandon’s 2002, 2008, 2011, and 2014 Jacobs Excellence in Education Award, 2002 Jacobs Innovation Grant, 2003 Distinguished Teacher Award, and 2012 Inaugural Distinguished Award for Excellence in the category Inspiration through Leadership. Moreover, he is a recipient of 2014-2015 University Distinguished Teaching Award at NYU. His scholarly activities have included 3 edited books, 10 chapters in edited books, 1 book review
students to engage with while developing their understanding and mastery of MATLAB.There has been growing support for the use of project-based learning for skills and, in particular,nesting those projects in real-world contexts[1, 2]. Situative learning practices are beneficialacross many disciplines but of particular interest here by utilizing real-world datasets inprogramming courses [3-6]. This project looks to take that a step further by engaging thestudents in collecting those datasets through experimentation similar to that they will implementin future courses. To cite a popular film and growing cliché, it sets up a "Wax on, Wax off"experiential transfer of knowledge[7, 8]. The types of debugging and standard algorithms theywill engage with
impact a teacher’s experience might have onstudent performance. The bulk of the value from this paper lies in this gleaned insight.Background/MethodsGrade InflationGrade inflation is a notoriously controversial topic within the field of undergraduate education.Some of the controversy stems from a lack of definition. Richard Kamber defines grade inflationas “a reduction in the capacity of grades to provide true and useful information about studentperformance as a result of upward shifts in grading” [1]. Grade inflation hinders the ability of thestudent to accurately assess their abilities and limitations; this is true for future employers as well[1]. Grades should not be confused as measures of effort, rather as measures of performance [2
Computer Science department's Software Fundamentals course since 2019. His research interests include computer-based education, game development, and software engineering.Sarah Heckman (Teaching Professor) © American Society for Engineering Education, 2022 Powered by www.slayte.com 1 Describing Academic Help Seeking Patterns in Introductory 2 Computer Science Courses 3 Matthew Zahn, Lina Battestilli, Sarah Heckman Department of Computer Science North Carolina State University 4
in our higher learningcommunities, however, data is sparse as this research subject has remained stigmatized or treatedas ‘expected’ in professional degrees such as engineering. Only recently have efforts been madeto further characterize the mental health and wellness in students across engineering disciplines[1]. One aspect identified as a prevailing factor included ‘feeling socially isolated’ and since theonset of COVID, our communities have been fighting increases in isolationism anddisconnection [2]. Rather than looking to further characterize the distribution of mental health, itis of interest of the authors to examine the degree by which our praxis can influence aspects ofsocial isolation.Two significant concepts that Vygotsky has
methods for STEM education research. Dr. Menekse received four Seed-for-Success Awards (in 2017, 2018, 2019, and 2021) from Purdue University's Excellence in Research Awards programs in recognition of obtaining four external grants of $1 million or more during each year. His research has been generously funded by grants from the Institute of Education Sciences (IES), the U.S. Department of Defense (DoD), Purdue Research Foundation (PRF), and the National Science Foundation (NSF).© American Society for Engineering Education, 2022 Powered by www.slayte.comRelationship between Course Engagement and Educational Application Engagement in the Context of First-year Engineering StudentsAbstractThis complete
Colorado School of Mines and Director of the Humanitarian Engineering and Science graduate program. She is an anthropologist with two major research areas: 1) the sociocultural dynamics of extractive and energy industries, with a focus on corporate social responsibility, social justice, labor, and gender and 2) engineering education, with a focus on socioeconomic class and social responsibility. She is the author of Extracting Accountability: Engineers and Corporate Social Responsibility (MIT Press, 2021) and Mining Coal and Undermining Gender: Rhythms of Work and Family in the American West (Rutgers University Press, 2014), which were funded by the National Science Foundation, the National Endowment for the Humanities
Engineering (CME) and Systems Engineering (DSE) students for the 2022 UnitedStates Military Academy (USMA) Steel Bridge Team. The American Institute of SteelConstruction, (AISC) and American Society of Civil Engineering (ASCE) Student Steel BridgeCompetition challenges students to design, fabricate, construct, and test a 1:10 scale steel bridgethat meets dimensional, material, and performance constraints as part of an intercollegiatecompetition. The AISC Steel Bridge competition is a capstone course requiring students to applyengineering principles and theory learned during their undergraduate studies, such as structuraldesign, mechanics of materials, and construction management into the engineering designprocess. For the civil engineering students
participants working together and in parallel to accomplish projectobjectives. This paper discusses challenges encountered and methods used to manage themthrough the transition of the project activities from in-person to remote, and then subsequently toa hybrid format.IntroductionTeaching methods commonly employed in engineering curricula and the learning styles of manyengineering students are often incompatible in many regards. Most engineering students, as wellas students focused in other STEM disciplines, learn best when course material is presentedusing a broad range of techniques, often involving different forms of visual, sensory, and verbaltechniques to relay information [1], [2]. Among some of the more effective teaching techniquesthat have
episodically referred to distinctively as the “Generalized Exergy Equation” (GEE) oran equivalent name, so this convenient and descriptive terminology is adopted herein.The history, general development, and application of the various formulations for exergy (alsoformerly known as “availability”) has been well reported and evaluated by authors includingnotably Evans [1], Haywood [2], and numerous other scholars and researchers. The aim of thisarticle is not to contribute much new to the elementary understanding of generalized exergy, butto offer a classroom tested presentation suitable for adequately prepared mechanical engineeringstudents. The resulting GEE is not new; however, some features and considerations are introducedherein that are (1) thought