research experience and strengthening their confidence and interest in pursuing aSTEM profession. The program also helped the students improve their skills in teamwork, timemanagement, scientific writing, and presentation.I. IntroductionAn adequate supply of quality workers in the science, technology, engineering, and mathematics(STEM) fields is vital to continued US economic growth and competitiveness [1]. Communitycolleges enroll almost half of the nation’s undergraduate students, thus their role inundergraduate STEM education is very important, especially for individuals from groupstraditionally underrepresented in the STEM field. With support from the Department ofEducation Minority Science and Engineering Improvement Program (MSEIP), a
components,advantages and disadvantages. With the fundamental expectations of a flipped course in mind,section III explains the proposed iterative framework for developing flipped classroom courses.An example of flipping a lower division engineering course, ME 2040 - Circuit Analysis forMechanical Engineers, is used to explain the utilization of the proposed framework in SectionIV. Finally, results and discussion are given in section V. II. Fundamentals of Flipped Classroom Teaching While there has not been an official definition of flipped classroom teaching, it is commonlyexpected to have the following two components: 1) individual learning outside the classroom(also known as pre-class self-learning), and 2) active learning activities
topics in applicationsrelevant to biomedical engineering. The primary learning outcomes for the course reflect ourdesire to bring together information and analysis techniques from disparate fields and synthesizethem in application to biomedical problems: 1. Apply compartmental analysis to model mass, momentum, charge, and energy in transport biomedical systems 2. Use fundamental time- and frequency-domain circuit analysis techniques to understand the behavior of biomedical systems 3. Analyze biomedical signals using time- and frequency-domain methods 4. Use principles of computer programming to model and analyze biomedical signals and systemsThese objectives also reflect our emphasis on building a computational
. First, a hardware to non-destructively control the teach pendant of a physical robot. Second, a system that captures andtransmits video. Lastly, a website used by the client to remotely access, control, and program anindustrial robotic arm. To gain remote access to the robot, the client requests a login token forthe specific access time and access duration to the robot. Upon receiving approval from anadministrator, the user is provided with a teach pendant control web link, which is limited to onlythe pre-approved time slot. The interface for the client consists of the virtual teach pendant, adisplay of the real teach pendant screen and two display screens showing the robot from differentangles. The system layout in Figure 1 proposes three
theopportunity to use live motion capture technology in the course, exposing students to a tool oftenused in motor learning, motor control and biomechanics research. Through utilizing motioncapture, kinesiology students were able to review real-time footage of juggling with the use ofretroreflective markers. Motion capture technology is heavily utilized in many different fields, such as sportsperformance, entertainment and computer-generated imagery, and even the security industry [1].Many educators have used motion capture to help teach engineering [8], biomechanics [4], andbiomedical engineering [2]. Through motion capture, students are able to watch real-time footageof experiments conducted in the lab. We arranged to have kinesiology students
school GPA, and SAT mathscores. Further details of the interventions, study, results, and the literature review conducted upto that point can be found in the paper 1. There is evidence that subtle psychological interventionscan be self-reinforcing under certain conditions, for example, in environments with chronicevaluations (such as school), performance gains can magnify and reinforce the intervention 2.There has been additional work published on fostering a growth mindset in engineering studentpopulations in the past two years. Freeman et al. described positive outcomes, includingdevelopment of a growth mindset, from engineering students being taught in a way that developsthe six engineering Habits of Mind 3. Frary examined if a growth mindset
determined and motivated as they progress through their educational pathways.1. Introduction Background: With funding from the Department of Education, Canada community college and San Francisco Sate University have collaborated to offer research internship experience to the under-represented community college students. This program has been conducted for several yearsnow and every year it impacts close to 20 community college students. The community collegestudents are selected for this program based on criteria of diversity, technical background, and fit.The program covers four disciplines of Electrical, Computer, Mechanical, and Civil Engineering.In each discipline, there is a faculty research advisor at San Francisco State University who
wide monitoring coverage area. The Innovation to Flight (I2F) Student Program at the Jet Propulsion Laboratory is introducedas a practical example of the service-learning paradigm, with many beneficial goals including:Enhance and develop future mission capabilities; rapid innovation, rapid and affordable access tospace for innovators; train, inspire, and motivate the next generation of aerospace engineersthrough immersion into flight by rapid design, development, and launch of new innovations.Example projects that have been considered so far with the students are weather balloons,humanmachine interfaces, solar reflectors, and origami-based mechatronic systems within 10weeks of internship. 1. Introduction Engineers are one of the most
, additional research isrecommended with a larger sample size, multiple classes, and multiple instructors.Background: The Evolving Use of Podcasts in Higher EducationThe body of scholarship addressing the use of podcasts in higher education is growing.Generally, articles from the early 2000’s on the use of podcasts in higher education considerstudents as consumers of podcasts that deliver course content, such as recorded lectures andsupplemental material. Research demonstrates that students view podcast content-delivery as auseful, enjoyable, and advantageous learning tool in traditional, distance learning, and m-learning (using portable, handheld devices to access content) contexts. 1, 2, 3, 4 Studentappreciation for podcast-delivered material is
have shown to be effective5,6,15,7–14. Hence, the objective of the authorsis to present topics in heat transfer through a platform familiar to students to improve studentlearning. In this work, YouTube videos are used to supplement existing course material, andYouTube analytics are used to study how these videos are used by students. The effectiveness ofthese videos is assessed from student performance on tests.The questions to be explored based on the video analytics and student performance assessmentdata are: 1) What is a range of video length that would retain viewership? 2) What is anappropriate number of videos to improve student performance? 3) What type of videos are mosteffective – problem-solving or conceptual videos?Course
well as facilitation of faculty workshops on instructional strategies and effective technology integration. c American Society for Engineering Education, 2019 The Effects of Online Course Design on Student Course Satisfaction Greg Placencia1 Pauline Salim Muljana2 1 Department of Industrial and Manufacturing Engineering — California State Polytechnic University, Pomona, California2 Department of STEM Education and Professional Studies: Instructional Design and Technology — Old Dominion University, Norfolk, VirginiaThe quality of course design and
Diego, CA 92123, U.S.A.ABSTRACTQuantum computing is one of the most interesting and demanding topics in the field of computerscience and engineering. The potential of quantum computing in many areas such as computersecurity, big data, finance, health science, and many other fields are now clear because of itsincredible capacity and high processing speed. In a traditional computing system, all data andinformation are represented with 0 and 1 bits. But quantum computers operate in a different way,using Quantum Bits, or qubits. These qubits are created and manipulated using quantumprinciples of superposition and entanglement and can perform certain types of complex and largecalculations on vast amounts of data very rapidly. A few examples of
students have more control on theirassessment can improve their self-respect and confidence in their capabilities, eventuallyincreasing their determination towards succeeding in the class and college experience as a whole,as described by the self-determination theory and its effects on self-motivation. The maindisadvantages of giving students control of their grade are (1) they may not have a correct self-assessment of their abilities, (2) grading and assigning letter grades at the end of the semesterbecomes an increased load for the instructor, particularly in larger classroom sizes, and (3)students can be inclined towards changing their grading scheme too much and ultimatelyundermining the purpose of some assessment types. In this preliminary
diagrams are an important graphical tool that can be used to easilysolve AC circuits that could sometimes be rather difficult to solve using mathematical equations.However, undergraduate electrical and mechanical engineering students continue to strugglewith the concepts of phasor diagrams largely because of a lack of an easy to use and freelyavailable drawing tool. Recently, Agrawal et. al developed a phasor toolbox for AC circuitanalysis using Matlab[1], however, not all students have access to Matlab as it is a paid software.Traditional lectures on phasor diagrams have relied on the use of pencil, eraser, graph paper,ruler, compass, and protractor. In addition to being difficult to use, the combined use of thesetools is rapidly getting obsolete
Hayashibara, Embry-Riddle Aeronautical University, Prescott Associate Professor, Department of Aerospace Engineering, College of Engineering c American Society for Engineering Education, 2019 VM High-Performance Computing for Undergraduate Engineering ProjectsINTRODUCTION Parallelized processing, or the process of solving multiple parts of a single problemsimultaneously through the use of many processors (see Fig. 1), is essential for many engineeringand scientific disciplines as projects and mathematical models continue to reach beyond thescope of what can be done by hand. From their inception in the 1960’s, these grid computing (orsupercomputing) systems have advanced so as to come in a variety of sizes
curriculum.At the Academy, this course of study is called the “core curriculum” and includes classes inengineering, basic sciences, humanities, social sciences, and military strategic studies [1, Chap7].One of the foundational principles of the institution’s core curriculum is that it should provide “abroad liberal education that imbues in students the knowledge, skills, and habits of mindnecessary for service as exemplary officers and citizens.” To do this, the 29 courses selected aspart of the core curriculum must support and build proficiency in each of the nine institutionaloutcomes [1, Chap7].The paper outlines the development of the current nine institutional outcomes for the USAFA.Next, it continues with a concentration on the implementation of
the voltage magnitude toward the lower limit of the ANSI C84.1 range (i.e., 114 V).This scheme uses end of line (EOL) measurements to control the substation voltage regulators sothat the appropriate voltages are set. To implement VAR optimization, utilities switch shuntcapacitors onto distribution system feeders to reduce the amount of power losses resulting fromreactive power flow. Implementing both CVR and VAR optimization in tandem by usingadvanced communication and control schemes comprise the complete VVO system.Time series data were collected from simulations conducted using GridLAB-D software at stepsizes of 1 minute for an entire year. Traditional loads on the distribution system were modeledusing the static ZIP model, whose weights
veryshort in duration. Previous studies have investigated the reduction in economic output due to poweroutages of varying duration, scale, time, and location.In the Pacific Northwest, the time of year that an outage occurs can have a significant impact onthe customers. For example, residents that lose power during a mild spring day may not be asinconvenienced as those experiencing an outage that occurs during a cold winter day. The PacificNorthwest typically does not experience outages resulting from severe weather events such ashurricanes. However, during storm seasons, outages can occur from various vegetation cominginto contact with power lines [1].The economic impact of power outages vary across different customer classes. Commercial
instructors are to 1) help students learn the course material, and2) assess how well students learned that material. The literature is replete with approaches toenhance teaching3, including recent innovations in content delivery such as studio formats andflipped classrooms. The many aspects of assessment are also a common topic in the literature1,which points out assessment supports student learning only under certain conditions4. Theintention of our work is to enhance these well-documented results by adding student-directedflexibility to the assessment process, and embrace the notion that assessment can have more ofan influence on learning than teaching7.A common theme in modern approaches to teaching is to give students more responsibility fortheir
electricand magnetic fields are produced by charges and currents and evolve over time. The motivation to study electromagnetics is all around us. All technologies andapplications of electrical and computer engineering operate on the principles ofelectromagnetics. Every time you switch on a light, surf the web, send a text, or microwave aslice of pizza you are making electromagnetics work for you. Richard Feynman famously wrote[1]: “From a long view of the history of mankind, seen from, say, ten thousand years from now,there can be little doubt that the most significant event of the 19th century will be judged asMaxwell's discovery of the laws of electrodynamics. The American Civil War will pale intoprovincial insignificance in comparison with