of students (“Face-to-Face” and “Distance”) attended the same blended style coursethat offered those two types of interactions. The instructor teaches students in the classroom whilethe lesson is recorded and uploaded to the learning management system for the distance studentsto view later. Lastly, students who received instruction from prerecorded videos in which theinstructor addresses the students directly in a virtual one-on-one teaching style outside theclassroom will be recognized as “Online” students. Table 1 summarizes the types of students andthe corresponding course modality. Table 1: Student Types Course Modality Type of Students Traditional
, studieshave shown that it has some significant educational disadvantages. Over the past severaldecades, physics education research has shown that students were not learning the conceptsand/or were not engaged by the methods used in “traditional” physics education.1-4 Those andother studies have motivated a significant amount of research on physics education and muchprogress has been made. A significant body of physics education research has focused ondeveloping and incorporating classroom techniques that reduce or eliminate lecture and replace itwith active learning methods.5,6 Often the focus of the active learning strategies has been tomove away from methods that lead to students memorizing facts and mimicking solutions andtoward developing
, dougong, intelligent system, graphical simulation, virtual realityI. Introduction The dougong is a well-known and unique characteristic of ancient Chinese architecture, theterm referring to the components located at the intersections of pillars comprising the roofsupport system of ancient Chinese buildings. In Chinese, the word “dougong” consists of twoparts, “dou” and “gong,” denoting the two basic elements of the dougong structure. Specifically,the word “dou” denotes the inverted cap for support, and the word “gong” denotes the bow-likeblock for supporting the load. Fig. 1 shows these two components in a 3-D model of a typicaldougong structure made in Autodesk 3DS MAX. In the structure of ancient buildings, dougongare constructed on
Entering the Engineering Pathway: Student Veterans’ Decision to Major in EngineeringAbstractAs the engineering community seeks to widen the pathways toward engineering education,hundreds of thousands of military veterans are initiating their college studies at universitiesacross the U.S. Given this trend, it is essential to better understand the factors that lead studentveterans to choose to major in engineering.We are conducting a comparative case study at four institutions enrolling undergraduate studentveterans in engineering (SVEs). In this paper, we draw upon in-depth interviews conducted withSVEs at two of these institutions to: (1) better understand the factors that shape SVEs’decisions to major in engineering and, (2
seeking career advice from both faculty and undergraduatestudents.This summer program attracts many high school students from rural areas who have limited, ifany, exposure to STEM careers and strives to introduce students to STEM disciplines and careersthrough classes and guest speakers from industry. The main goals of this program are to (1)introduce students to a wide variety of STEM fields, (2) increase student’s engineering andscience knowledge, and (3) help students learn what fields they are interested in pursuing (ornot). During the summer of 2016, students were surveyed both pre- and post-camp experienceon their attitudes towards the STEM fields and their knowledge of the types of careers availableto engineers and scientists. At the end
second semester. These metrics will be used to compare the effectiveness of the MLMs on both an individual and department wide basis.KeywordsMultimediaLearningModules,Prelectures,PhysicsEducation,PhysicsPedagogy.IntroductoryPhysics,EngineeringPhysics.1. Introduction Over the last twenty years, numerous advances in physics education research(PER) as well as the development of non-traditional learning tools have changed thelandscape of STEM education [1]. A short time ago, the most widely accepted approachto physics education was the traditional lecture, supported by a hands-on laboratorycomponent, with typical homework exercises. Demonstrations and group work added anactive component to these techniques, but the overall learning
Tech University. She is currently Associate Director of the STEM Center for Outreach Research and Education and serves as Assistant Director for the Center for Leadership in Education. Her research includes STEM education, the assess- ment and instruction of culturally and linguistically diverse students, bilingual/ESL teacher education; and academic literacy development. c American Society for Engineering Education, 2017 1 Inquiry, Talk, and Text: Promising Tools that Bridge STEM Learning for Young English Language Learners (Fundamental
makedecisions regarding classroom instruction on a more individualized basis. The assessment willcomprise multiple components in different virtual environments as shown in Figure 1. Defining the problem Create virtual prototype Developing possible Test and evaluate Introduction to solutions (Redesign) prototype the problem Selecting the most Redesign, test, and Online delivery promising solution evaluate with teacher Virtual collaborative Interactive
studies, students from STEM disciplines consistently report lower usage of librariesthan students from the humanities and social sciences, and Tenopir suggests that engineers whodo use libraries are reluctant to ask for assistance when looking for information.1-6 While Changand Eskridge suggest that engineers during their undergraduate and graduate training areinducted into a culture of non-library use by their instructors and faculty mentors,7 even amongengineers that make use of the libraries, physical visits and direct interaction with librarians havedwindled since the ascension of easy to use full-text search engines.8 Hemminger et al. foundthat as early as 2007, the wide availability of electronic resources had transformed theinformation
differentlevels of cost and achieve different levels of infrastructure integrity (II) for redeveloping thelocal electric infrastructure. A conceptual framework has been developed, together with metricsand computational methods for assessing infrastructure integrity [1-4]. II is the ability of aninfrastructure system to exhibit reliability, flexibility, resilience, and adaptability. Although II isuseful for application to any infrastructure system, it is particularly applicable to electricsystems, and it provides a foundation on which to build in considering the future development ofelectric grids. For each vision, strengths and weaknesses, and in so doing, we intend to providestrong rationale regarding the best path forward for re-developing the local
Transportation Company, SystemsControl, and M.J. Electric) has donated a 2500-kVA, three-phase, General Electric, 32.8-kV –2,400-V, grounded wye to delta, type OA-T transformer; a 333-kVA, single-phase, McGraw-Ed-ison, 34.4kV – 277-V, type OA transformer; five voltage regulators, and several current and po-tential transformers. With test equipment obtained from a grant from the Department of Energy(DoE) and other equipment donated by local industry, the students perform insulation resistance,transformer turns ratio, oil breakdown, and power factor (or dissipation factor) testing on thesetransformers. These tests are in addition to the standard laboratory tests on small transformers:1) determining the polarity and turns-ratio, 2) finding equivalent
Paper ID #26697Tensions in Applying a Design-Thinking Approach to Address Barriers to In-creasing Diversity and Inclusion in a Large, Legacy Engineering ProgramSean Eddington, Purdue University, West Lafayette Sean Eddington (Ph.D., Purdue University) will be an assistant professor of Communication Studies at Kansas State University beginning Fall 2019. Sean’s primary research interests exist at the intersec- tions of organizational communication, new media, gender, and organizing. Within engineering contexts, Sean has examined career issues within the engineering discipline regarding (1) new faculty experiences
manystudent failures within each assignment.There is a variety of pedagogical methods employed in these courses, and the creation of“correct” models and drafts can be have multiple correct procedures [1], [2]. Yet, there arefundamental concepts in visualization and definitions of views that should always be taught inthe beginning of CAD instruction. For example, in learning about two-dimensional sketching, astudent should understand how the application presents its 3-D space, origin, and coordinatesystems.Further, mobile computing platforms are dominating the higher learning institution market, atleast in the U.S, with price-points decreasing and sufficient hardware becoming ubiquitousacross the top vendors. This lends to the ability for each student
implementing the resulting design inCAD software. Namely, ideation, modeling strategies, and problem solving learning moduleswere included in the course. To determine the efficacy of this approach, the following researchquestions were posed: 1) is it feasible to use individual whiteboards to teach freehand sketchingin a large undergraduate CAD course? 2) do students and instructors find this approachacceptable? 3) do students find that the use of whiteboards during class improves their ability tosketch? The acceptability and effectiveness of the approach was tested using pre- and post-student surveys. Additionally, performance on exam questions related to modeling strategies wasanalyzed across students over time to determine whether the whiteboarding
approach to academic education in order to preservethe level of competences and skills of the graduates. The students have to be exposed early onto exciting problems, challenging duties and responsibilities. Less available time for reflectingnewly acquired knowledge has to be compensated by interweaving the different fields ofknowledge. A particularly suitable way of doing so is the establishment of interdisciplinaryproject work already in early semesters, since there seems to be no better way of acquiringcomprehension than if it arises from personal experience [1].For this purpose, we have established a coherent procedure at Joanneum University ofApplied Sciences, Institute of Automotive Engineering, which familiarizes students in achallenging
extracurricular learning opportunities and hands-on supplements to traditional courseinstruction. The following paper describes the integration of a Formula SAE (FSAE) teamproject into a junior-level mechanical engineering experimentation course; it represents one ofnine projects in this course.The first half of the course is divided into modules that, for all students, progressively address: 1)the measurement chain and laboratory best practices using pre-existing experiments, 2) sensordesign, selection, and calibration, 3) statistical data analysis and uncertainty limits, and 4)technical communication skills. The second half tasks student teams to propose, design, build,and carry out an original experiment to an engineering problem they perceive can
Mindstorms shouldnot be surprising, given its popularity among engineering educators and teachers. As Eguchi [1]explains, the kit has been around in one iteration or another for two decades, allowing it time tobecome one of the most marketed and accessible tools for educational robotics. Despite itspopularity, there has been little empirical work on Mindstorms as a cultural artifact. Given itspopularity, what is the cultural significance of Mindstorms in education? And, how does thisshape its meanings and uses in the classroom?To give partial answers to these questions, this paper uses ethnographic data from three NewYork State public elementary schools to analyze the technocultural forms and uses ofMindstorms. The concept of technoculture is meant
cyber threats, andinfrastructure disasters. There is a calling from articles, reports, and an accreditations [1]–[8] thatthere is a need for public policy to be integrated in science, technology, engineering, andmathematics (STEM) education as students need to master the technical competencies, but bemindful that one’s work could provide benefits and harm. More importantly, students of STEMfields, who one day will become the next generation of scientists, technologists, engineers, andmathematicians are important actors in the area of policy as they will fill the holes of STEMexpertise that policymakers lack, assist in the development of policy, and advocate variouscauses [9], [10].In Fall 2019, Chaminade University of Honolulu will be launching
Tan1 Stephen Kozakoff1 kokcheng@mail.usf.edu kozakoff@mail.usf.edu 1 University of South Florida, Computer Science and Engineering, 4202 E. Fowler Avenue Tampa, FL, 33620, USA 2 Institute for Simulation & Training EECS, University of Central Florida 4000 Central Florida Blvd Orlando, Florida, 32816, USAAbstractOur goal is to investigate whether techniques to automatically generate practice problems
instructor for several undergraduate-level courses, and he has conducted educational research on the effect of various learning techniques on improving students’ self-efficacy and overall learning experience. c American Society for Engineering Education, 2019 Programming Without Computer: Revisiting a Traditional Method to Improve Students’ Learning Experience in Computer ProgrammingIntroductionDuring the past three decades, computer programming has been recognized as an essential skilland a necessary element in education. Previous studies have reported numerous cognitiveoutcomes from learning to program [1]. Feurzeig et al. [2] presented an extensive list of cognitivebenefits of learning computer
Engineering program was conducted.II. IntroductionIn the early 2000’s, forecasters believed the United States was on the verge of a nuclearrenaissance. Tremendous growth in the energy industry was expected at that time since theaverage age of the nuclear power sector was 48 years of age which ranked among the oldest inany US industry 1. Many colleges and universities geared up new programs with help fromfederal agencies such as the Nuclear Regulatory Commission (NRC) and the Department ofEnergy (DOE). Over 40 college programs across the country were developed to create a pipelineto help fill the shortage of workers 2. The majority of the programs were two-year Associatedegree programs designed for entry level positions in nuclear fields. At that
Course María Raquel Landa Cavazos Yolanda Martínez Treviño Computer Science Department Computer Science Department Tecnologico de Monterrey, Tecnologico de Monterrey, Campus Monterrey. Campus Monterrey. Monterrey, México Monterrey, México rlanda@tec.mx yolanda.mar.tre@tec.mxAbstractThis paper presents the results of integrating the use of an auto-grader tool in a ComputerScience 1 course to personalize the learning process of students by allowing them to advance attheir own pace when solving problems in class sessions
selected as a National Academy of Education / Spencer Postdoctoral Fellow and a 2018 NSF CAREER awardee in engineering education research. Dr. Svihla studies learning in authentic, real world conditions; this includes a two-strand research program fo- cused on (1) authentic assessment, often aided by interactive technology, and (2) design learning, in which she studies engineers designing devices, scientists designing investigations, teachers designing learning experiences and students designing to learn.Dr. Pil Kang, University of New Mexico Sung ”Pil” Kang is an assistant professor at the University of New Mexico. His academic interests include change management, change model validation, and mindset evolution. He may
, 1998; Bolger et al., 2012; Weinberg, 2017a;2017b; 2019). In Bolger et al.’s study, children predicted and explained the motion of pegboardlinkages (Figure 1). Lehrer and Schauble interviewed second- and fifth-grade students, withinengineering tasks, to assess their reasoning about the mechanics of gears. In both of thesestudies, the majority of participants did not engage in mechanistic explanations.Figure 1. Example of a system of pegboard linkages. In Weinberg (2017a; 2017b; 2019), participants predicted and explained the motion ofpegboard linkages represented on an assessment. Most children’s mechanistic reasoning wasfragmented, displaying few of the mechanistic elements necessary to describe lever motion.First, most did not seem to
final delivery of the project is a working prototype and a report thatdelineates the task of the prototype, theoretical information that pertains to the design, materialsand methods, results and conclusion on the project.INTRODUCTIONIncreasingly our appliances, machines and even the clothes we wear are equipped with sensors.As educators, we need to educate our emerging workforce to design, fabricate and maintain thesenew “smart” appliances. Through the maker movement [1] many high school students arefamiliar with smart technology equipment before arriving on our campuses and our challenge isto engage them in developing a more rigorous engineering approach to the design, testing anddeployment of sensor systems. In response to this challenge we
the remotely-accessibleinfrastructure to create an on-line lab. Figure 1 shows a simple 3D rendering of a laboratorysetup that could support an undergraduate course in fluid mechanics, thermodynamics, or heattransfer. The working fluid in the system is water and students observe the fluid’s behavior bycontrolling and measuring various physical properties. The rightmost water bin contains aheating element. The leftmost bin does not and is of a different volume than the first. A pumpcirculates the water through the system while transducers measure flow rate and pressure.Thermocouples record the temperature in various locations throughout the system. Severalinexpensive Sony Playstation 3 Eye cameras are affixed to the aluminum frame of the rig
challenged to decrease their production costs without compromising quality[1]. However, W. Edwards Deming had warned that cutting costs to improve productivity andprofitability without established methods will only lead to disaster [2]. If costs are cut byarbitrarily reducing labor hours or using unverified sources of materials and components, itwould adversely impact quality. When this happens, customer satisfaction and loyalty wouldsuffer without immediate warning. For this reason, if no other, quality must be the starting pointfor improvement in productivity and profitability as Deming illustrated in his chain-reactionmodel in Figure 1 [3]. Accounting for costs of poor-quality would help focus attention on thereal problems
-Dimensional learning which highlights how science learning takes place through theholistic and integrated learning of disciplinary core ideas, science and engineering practices, andcross-cutting concepts [1]. Within these three dimensions, the science and engineering practiceshave been a focal point for pre-college science curriculum and instructional reform because oftheir emphasis on learning the ways scientists and engineers conduct their professional work [2].With an emphasis on what it means to do scientific inquiry and engineering design, the scienceand engineering practices place the learning of science knowledge in relation to the work ofscience and engineering. The use of engineering design-based tasks offers one pedagogical approach
in STEM has been largely unmet across state institutions.One element of change has proven the most recalcitrant across past programs: the urgent need toeffectively and demonstrably change the institutional academic climate for women in the STEMsciences [1], [2]. One reason for the lack of long-term success in sustained institutional changefor gender equity is due to the fact that, “Gender equity should be seen as a systemic rather thanan individual issue” [3]. In order to address equity in higher education across a state system, wehave employed a “top-down” approach that goes beyond individual institutional administrationand starts at the state level. We use the “top-down” terminology to indicate that, although thisproposed work builds
developed a teacher professional development (PD) program and atoolkit consisting of a hardware and software system to engage STEM teachers in learning aboutwireless technology through various hands-on activities and collaborative research. The PDprogram and the toolkit directly relate to the Cloud Enhanced Open Software Defined MobileWireless Testbed for City-Scale Deployment (COSMOS) testbed [1, 2] that is being deployed inWest Harlem (New York City) and to the NSF ERFI NewLAW project which focuses on wirelesscommunication. The PD program took place in Summers 2018 and 2019 within the frameworksof Research Experience for Teachers (RET) and Research Experience and Mentoring (REM)programs. Throughout the PD program, researchers and educational