Paper ID #22529Encouraging Women in CS 1: Interventional Inclusive Pedagogy in Com-puter ScienceDr. Arshia Khan, University of Minnesota, Duluth Arshia A. Khan, Associate Professor at the University of Minnesota Duluth, earned a Bachelor of Engi- neering in Computer-Engineering, M.S. in Computer Science and Ph.D in Information Technology. Her research interests are interdisciplinary and span the biomedical informatics, clinical/health informatics, and consumer health informatics. Her research is on sensor based wireless, robotic non-intrusive device development for monitoring physiological changes for population health
Paper ID #22139S-STEM Summer Scholarship for a Sophomore Bridge: Year 1 in ReviewDr. Katie Evans, Louisiana Tech University Dr. Katie Evans is the Associate Dean for Strategic Initiatives, the Entergy Corp LP&L/NOPSI #3 & #4 Professor of Mathematics, the Academic Director of Mathematics and Statistics and Online Programs, and the Director of the Integrated STEM Education Research Center (ISERC). She earned her Ph.D. in Mathematics and M.S. in Mathematics at Virginia Tech, Blacksburg, VA. Her research interests in- clude distributed parameter control modeling and simulation, dynamic modeling of physical systems, and
. c American Society for Engineering Education, 2018 Towards a National Agenda for Broadening the Participation of African Americans in Engineering and Computer Science: Insights from Year One OVERVIEWWhile more students are pursuing degrees in science, technology, engineering, and mathematics(STEM), representation of African Americans remain low and is not on par with nationalrepresentation [1], [2]. As a result, broadening the participation of African Americans inengineering and computer science continues to be an effort that is of interest to variousstakeholders in the STEM community. As part of the effort to improve diversity in STEM, theresearchers
2017 it had an enrollment of47,535 students with a sharp increase from the enrollment of 39,819 in the fall of 2016. 62.3% women 88.4% domestic 72.1% undergraduate 37.7% men 11.6% international 27.9% graduate Table 1. The enrollment data of 47,535 students at UTA in the fall of 2017Of the 47,535 students enrolled in the fall of 2017, 62.3% were women and 37.7% were men.These percentages are not uniform in all the disciplines, as the percentage of women in someengineering programs at UTA is very low. Among the 47,435 students enrolled in the fall of2017, 42,032 (88.4%) were domestic students and 5,503 (11.6%) were international students.There were 34,261 undergraduate students
engineering students in learning solid modeling skillsIntroductionEngineering graphics and solid modeling are essential tools for design and manufacturing in thefield of biomedical engineering. Over the past decade, advancements in additive manufacturinghave made building design prototypes from computer models much easier. For example, recentimprovements have been made to development of medical devices [1] or surgical procedures [2]based on specific anatomical characteristics of each individual patient. In addition, solid modelsgenerated in computer-aided design (CAD) programs such as SolidWorks (Dassault Systèmes,Vélizy-Villacoublay, France) are often easily importable to commercial numerical analysissoftware packages such as finite element and
based on the written and interview responsesof the participants. The following quantitative results are the written responses of the participants during a springschool semester. The information written below in red are the written responses of the participants during theinterviews.Response of Participant 1 Response of Participant 2Response of Participant 3 Response of Participant 4Response of Participant 5 Response of Participant 6Response of Participant 7 Response of Participant 8Response of Participant 9 Response of Participant 10Response of Participant 11 Response of Participant 12 Response of Participant 13 Response of Participant 14 Response of Participant 15
knowledge of materials science. This level includes the non-expert who recognizes a need and applies a known, “proven” material as a solution. The solution is most often based on historical learning (by observation or recommendation) or after consideration of some limited information gleaned from current research (commonly the internet today).Years ago, the Boyer report recognized that research and study boundaries at the undergraduatelevel were reinforced by the traditional departmental structures and one proposed remedy wasthe implementation of an interdisciplinary undergraduate educational paths that includedindependent research and thus supported a more independent and creative environment forlearning [1]. Although this
that of thestudents’ perceptions of engineering in regard to their own engineering identity and abilities. In a study by M. Besterfield-Sacre in 1997, incoming engineering students were surveyed ontheir perceptions of engineering as a field, their own abilities as engineers, and their confidencein their success [1]. The performance and retention of the students were then tracked for thefollowing three years and related back to their initial attitudes. Students who left engineering ingood academic standing had significantly different attitudes about themselves and engineeringcompared to students who stayed in engineering, or who left in poor academic standing. Theinitial attitudes of students who left in good standing reflected significantly
faculty, department chairpersons, and chairpersons whoare collaboratively engaged in the process of curricular refinement of the gateway mathematics(e.g., College Algebra, Pre-Calculus-Algebra, Trigonometry, and Calculus with AnalyticalGeometry) courses which required, in part, for the AA and for the BS degree programs incomputer science and engineering (see Figure 1).Addressing Curricular CoherenceThe process used in addressing the task of determining the curricular coherence within each ofthe gateway courses consisted of several strategies. The first strategy involved addressing theproject’s initial Curricular Framework Guide as a fluid document that would initially supportfaculty as they pursued identifying what the task involved, what was
for instructors are providedto increase the likelihood of successful assessment delivery, along with lessons learned.1.0 IntroductionTo address the substantial enrollment increases within undergraduate Mechanical and AerospaceEngineering (MAE) degree programs, new suitable and scalable means of assessing studentachievement are urgently sought. Across the United States, the number of Bachelors degrees inMechanical Engineering degrees conferred annually has increased 42.7% during the academicyears from 2009-2010 to 2014-2015, which constitutes the most recent five year period forwhich data is available from the National Center for Education Statistics [1]. These significantenrollment increases, along with a continual quest to sustain and
context of disciplinary diversity has never been as ripe.Key Words: deployable, transformability, architectural curriculum, learning by making.IntroductionIn 1832, the French socio-economic theorist Prosper Enfantin lamented that architecture as atheory of construction was an incomplete art because it lacked the notion of mobility andmovement [1]. Some modern-day foldable structures respond and adapt to changing needs andconditions. This has made them multifunctional and with enhanced performance. They includeretractable roofs, movable theaters, rapidly-deployable emergency shelters and kinetic facades,among others. Much remains to be discovered and understood in this field. While the need is clear,courses specifically dedicated to transformable
/Spring) Architectural Design course, students complete two majorarchitectural design projects. Before students begin work on these two aforementioned projects,students also work on a very small lake cabin drawing, which serve as an introduction in usingthe basic tools of the Revit Software, but was not considered for this research. The textbookutilized was an SDC Publication textbook entitled Residential Design Using Autodesk Revit [1](now, 2018). The first project makes use of an SDC publications textbook [1] where studentswork on constructing a single family residence comprising of a basement, first floor, and secondfloor. During the latter part of the semester, students are to design and construct their own singlefloor dwelling for a single
a PNMSat program at an engineering institution in India.KeywordsSystems Pedagogy, PNMSat/CubeSat Mission/Program, Engineering Education in India, DiverseEngineering Careers, Space Systems Engineering and Pedagogy1. IntroductionThere is a growing need in India to educate the youth as engineers, doctors, scientists, and mostimportantly, responsible citizens [1], [2], [3]. In particular, there is a growing need for educatedaerospace engineers who can complement the untiring efforts of organizations like the IndianSpace Research Organization (ISRO). Over the decades, ISRO has established itself as apremiere space organization and enabled India to be one of the elite nations to explore thefrontiers of Mars and other space missions [4], [5], [6
, aLightweight Fighter Design Project, a Glider Design Project, homework, two exams and acomprehensive final exam. The desire was to update the course with new approaches to teachingintroductory aeronautics. The framework for change came as a result of a Kern EntrepreneurialEngineering Network (KEEN) Innovating Curriculum with Entrepreneurial (ICE) MindsetWorkshop. Since 2007 Baylor University has been involved with the KEEN. KEEN is “a nationalpartnership of universities with the shared mission to graduate engineers with an entrepreneurialmindset so they can create personal, economic, and societal value through a lifetime ofmeaningful work” [1]. This is accomplished by incorporating entrepreneurially minded learning(EML) into the classroom
advanced programming class would need to teach ‘C’ programming (and datastructures), as well as software algorithms, microprocessor hardware/peripherals, and operatingsystems. To teach a wide range of subject matter, it is necessary to examine: • The type of processor / operating system • The amount of flash and ram memory (within the processor) • Number of I/O pins (digital and analog) • Internal circuits (digital, a-to-d, pwm, uart, spi, etc.) • Timers and InterruptsThe goal of this paper is to show how the BeagleBone Black can be used successfully in anadvanced embedded systems course [1].Course OverviewThe Computer Engineering Technology curriculum is set up so that programming and embeddedcircuit design
before they officiallytake office to ensure a smooth transition. In this paper, the common challenges that SWEsections face during the “changing of the guard” are presented along with some tips on how toachieve such a smooth transition, backed by examples of systems that some of those very activeand productive SWE sections have established and follow to make office transition a smootherprocess and to enable them to hit the ground running at the start of the academic year.IntroductionCampuses throughout the nation support student led pre-professional organizations. There aremany factors that ensure a successful student club. Evans et. al [1] presented seven keys toestablishing a successful American Society of Civil Engineering (ASCE) student
. A pre- and post-assessmentgiven with graded events enabled the faculty to classify the students into one of several groupsand make inferences as to their ability to achieve specific objectives. This ongoing work, whichis to be expanded in scope for future terms, may provide insights for identifying trends inlearning, specifically with regard to an engineering mathematics program.1. IntroductionIn some philosophical discussions, it is recognized as the Socratic Paradox, i.e. “knowing whatyou do not know,” – in this light, an individual is considered ‘better off’ knowing that and whatthey do not know, versus knowing that they do not know [1]. This brings about a number ofpedagogical questions for the classroom, some of which may lead to
have access to literature beforehand and receive a lecture prior to the flight perform better than thosethat only review the literature or only receive a lecture before the simulation. Also, the efficacy of the hands-on learning in a laboratory environment is discussed.Keywords: Flight Training, Simulation, Hands-on Learning, Laboratory learning, Retention 1. IntroductionIn this IRB-approved (Institutional Review Board) study, student learning and retention is assessedusing a motion-based fixed-wing flight simulator. Students are given introduction to the principlesof flight. Then they fly the aircraft flight simulator and are asked to complete a pre-defined mission.Points are given for successfully completing several legs of the mission
such as atmospheric aerosols and feedback control. Prof. West is the recipient of the NSF CAREER award and is a University of Illinois Distinguished Teacher-Scholar and College of Engineering Education Innovation Fellow. c American Society for Engineering Education, 2018 Computational Curriculum for MatSE Undergraduates: Three-year impact and influence on senior computational classes Xiao Zhang1 , Andr´e Schleife2 , Andrew Ferguson2 , Pascal Bellon2 , Timothy Bretl3 , Geoffrey L Herman4 , Jessica A Krogstad2 , Robert Maass2 , Cecilia Leal2 , Dallas R Trinkle2 , Matthew West2 , and Jian Ku Shang2 1 Department of Mechanical Science and
Massachusetts Institute of Technology. c American Society for Engineering Education, 2018 Encouraging a growth mindset in engineering studentsIntroduction and backgroundThe idea of “mindset” became widely known due to Dweck’s 2008 book [1]. A person’s mindsetguides a great deal of how they approach life – and especially how one approaches education.Dweck defines two different mindsets: a “fixed mindset” and “growth mindset” [1]. Someonewith a fixed mindset believes that their intelligence is fixed and unchangeable. On the otherhand, someone with a growth mindset believes that their intelligence is changeable and can growas they learn more. Most people’s mindset lies along a continuum with these two mindsets
based Systems to more complexRobotic Systems using ROS.IntroductionThe Robotics Industry is expected to grow at “compound annual growth rate (CAGR) in theteens or greater” through 2022 [1].Over the past several years we have developed Robotic Labs and projects that we haveincorporated into other Electronic Engineering Technology (EET) courses to motivate studentsin those courses. We noted high student motivation on those Labs and projects, as well aspositive feedback from students.Robotics is an interdisciplinary field requiring knowledge of software, electronics, controlsystems, actuators and sensors.After reviewing course materials from courses on-line and number of introductory books, wedetermined that an introductory course for Electronic
collages. Several of the initial drawings are shownbelow.Figure 1: Concept generation sketches from participantsInterpreting qualitative data was somewhat effortless. Almost all participants emphasized theplanets, stars, and other celestial bodies. When the word “light” was added to the keyword“cosmic,” it was clear that the light explosion (or shining outwards) became the dominant sketchelement. Consequently, the clear image of the light explosion was selected by the author as thedominant design feature and translated into the Stellar’s final image.Figure 2: Concept generation sketches from the author (Time-space warp)Upon concluding the final concept, prototyping stage started. Since it was a linear (step-by-step)process, this paper -as well as
, including faculty and staff members, have beengenerous in their support and assistance, club members have had to raise more than $25,000 tocover manufacturing and parts costs. Purdue University Northwest competed in its first FormulaSAE competition in the past year [1]. The goal of the team has since been to make significantimprovements on its systems and designs. One such improvement has been the implementation ofa telemetry and data acquisition system. A telemetry and data acquisition system allows for thecollection and interpretation of data from sensors on the car, which enables the team to not onlydiagnose and solve issues with the other systems of the car, but to fine-tune and optimize thegeometry of the mechanical systems as well as making
University School of Engineering incorporated the course, “IntroductoryMathematics for Engineering Applications,” to help with retention and because it fit theschool’s vision of offering all engineering classes in a class-lab format vs. separatelecture and lab courses. The primary goal of this class-lab format is to incorporate hands-on activities throughout the curriculum to integrate content and application.1 The schoolhas also limited class sizes to a maximum of 24 students.One faculty member taught the three-credit course the first year (2016) without ateaching assistant. There were two sections that met on Tuesdays and Thursdays for ~90minutes each. It was determined that this was not enough time to cover lecture notes,include labs, give exams
aerodynamicssuch as golf drivers, speed chutes, sailboats, golf ball, propellers, drones, delta wings, airplanes, etc.(goo.gl/1vJwGF). Coupled with an assessment technique where the students are required to integratehomework, projects, activities, lectures and independent studies on a single platform (portfolio), themodel promotes sustainable learning (long-term learning), communication skills, technical skills andcritical thinking skills in a way that a conventional lecture-based model wouldn’t. Multiple Likertscale assessments of the modules and qualitative feedback from the students will be shared in thispaper along with homework assignments and projects.1. Introduction At the University of Dayton, the subject of Aerodynamics is taught as a
for future iterations of this module and adaption to otherinstructors’ classrooms.INTRODUCTIONAs defined by Merriam-Webster, engineering is “the application of science and mathematics bywhich the properties of matter and the sources of energy in nature are made useful to people” (1).The technical nature of this definition continues into the canon shaping the engineeringcurriculum. While engineering education has traditionally focused solely on the technicalskillset, there is a growing industry and academic demand for engineers who possess social andglobal values to better align with the changing industry (2) (3) (4) (5). Terminology such as‘socio-technical’ engineering is becoming more common, as is the blending of the social with
NextGeneration Science Standards and contained a strong emphasis on math and science literacy for21st century learners. Evaluation data was gathered through Student Feedback Survey. Topicsdiscussed in the paper will include implementation of K-12 Aerospace Academy program atECSU, program components, participant demographics, student activities, and projectevaluation.IntroductionOver the next ten years, more than half of all jobs will require some education beyond highschool [1]. While adopting the Common Core State Standards should lead to more college-readystudents over time, students will still need programmatic supports from secondary andpostsecondary educational institutions to better prepare them for a successful transition topostsecondary
fit in the goal of this project, which is preparing students for more advancedrobotics courses, the programs that will be created for the project can’t exceed the limitations ofthese educational robots. For instance, the grabber size is limited by one size and it cannot lifttoo much weight, the pick-and-place simulation lab objects are limited to quarters.DESIGN PHASEThe project describes five labs in total covering from safety to writing programs and testing.Each lab focuses on a topic. After performing all the labs, students will be familiar with writingprograms and running them continuously or systematically. The following are the topics for allthe labs: Lab 1 – Safety Lab Lab 2 – Introductory Lab Lab 3 – Programming
stability of any power grid.IntroductionA conventional timing light shown in Figure 1 uses a halogen light to determine if the voltagessources, of approximately equal amplitude, are in phase with each other. When the voltage fromthe generator is in phase with the power grid, the current through the light is zero. The current isat its maximum when φ, the phase angle is between the two sources, is 180 degrees.The phase angle in radians shown in equation (1) is a function of t, the time delay betweensources, and ω, the radian frequency. φ=t·ω (1)The conventional timing light is out of date because halogen lights are no longer manufactureddue to their
with enough time for sufficient reinforcement.The results realized in teaching at upper levels are derived from mathematical concepts andidentifiers reinforced during core courses in mechanical engineering. The paper demonstratessuch measured steps together with motivation builders as the prescription required in teachingcalculus and boundary value problems to mechanical engineering students.IntroductionOn a recent examination in Dynamics given to 60 students in two sections team-taught by twodifferent instructors, the following question was posed (Figure 1). The question tests the rigidbody kinematics area covering dynamical concepts of fixed axis rotations in belt drives. Themathematically relevant part of the solution requires a simple