engineering education research as a psychometrician, program evaluator, and institutional data analyst. As a psychometrician, she revised the PSVT:R for secondary and undergraduate students, developed the TESS (Teaching Engineering Self-efficacy Scale) for K-12 teachers, and rescaled the SASI (Student Attitudinal Success Inventory) for engineering students. As a program evaluator, she evaluated the effects of teacher professional development (TPD) programs on elementary teachers’ attitudes toward engineering and students’ STEM knowledge through a NSF DRK-12 project. As an institutional data analyst, she is investigating engineering students’ diverse pathways to their success.Dr. Teri Reed, Texas A&M University Teri
unsafeoutcomes.The goal of this paper is to briefly re-introduce the art of estimation in engineering. This isevident when dealing with entrepreneurial thinking where projections and estimations need to bequickly calculated and frequently modified as necessary. Estimation specifically allowsentrepreneurs to make quick inexpensive decisions, which would otherwise cost time andresources. This paper shares research work that involves various, example-based estimationmethods that are useful in engineering. The methods provide rough predictions of expectedoutcome, allowing students to intelligently guess a reasonable range of expected outcomes, givenbasic raw data within its necessary parameters. The methods include: • Segmentation • Fermi Estimation
engineering student populations.Dr. John K. Antonio, University of Oklahoma Dr. John Antonio is Associate Dean for Academic Affairs and holds the Howard & Suzanne Kauffmann Chair in the Gallogly College of Engineering at the University of Oklahoma (OU). Dr. Antonio received his PhD in electrical engineering from Texas A&M University in 1989. He was a faculty member at Purdue University and Texas Tech before joining OU as professor and director of computer science in 1999. He has been an investigator for a number of funded research projects. As Associate Dean, Dr. Antonio represents the Dean’s office on matters related to academic programs and services, including outreach, recruiting, scholarships, advising
activities from the pilot program to be leveraged across multiple K-12 age ranges as part of science, technology, engineering, and math (STEM) outreach activities. To date, this program has been in place for three academic sessions of each course. Thework presented here will cover results and observations to-date, preliminary evaluations ofeffectiveness relative to standard (non-pilot) program instances, and plans for future work. Gradedistribution, pass/fail percentage, and anonymous student feedback surveys are utilized asmetrics to evaluate the impact of the pilot program’s changes for each of these courses.Description of Program The pilot program utilizes experiential learning tools in the form of hands-on projects,classroom
mechanics related to fracture, composite materials and glaciology. In recent years, he has focused on issues of mathematical education and outreach and he has developed a wide range of K-12 outreach projects. His current interests include the mathematical education of teachers, the scholarship of outreach, computational mathematics, and complex dynamics.Dr. Sonya E. Sherrod, Texas Tech University Sonya Sherrod holds a B.S. and an M.A. in mathematics and a Ph.D. in curriculum and instruction. Her research interests include instructional approaches that help students (K-12) learn mathematics concep- tually and instructional strategies that motivate preservice teachers to relearn mathematics conceptually, to empower
learning, and to promote attendance. An average of10 audience response questions was provided in each lecture for both courses. These wereapproximately 25% conceptual questions and 75% calculation based equations. Three midtermexams were administered for each course. The 1st year course included a final exam while the 4thyear course included a final project. Student grades were based on homework assignments fromthe textbook ( 15% 1st year course, 10% 4th year course), class participation ( 5% 1st year course,10% 4th year course), midterm exams (50% 1st year course, 45% 4th year course), final exam orproject (30% 1st year course, 25% 4th year course) and laboratory assignments (10% 4th yearcourse). The first two exams for both courses had an
Paper ID #15985The Cards Wager Assignment: Betting Homework Points on Statistical Pro-cess ControlDr. Mathew Schaefer, Milwaukee School of Engineering MATHEW SCHAEFER is Associate Professor of Mechanical Engineering at Milwaukee School of En- gineering. Prior to his academic work, Dr. Schaefer worked for G.E. Medical Systems and for Briggs & Stratton Corp. He earned his B.S. and M.S (Mechanical Engineering) and Ph.D (Materials Science) from Marquette University. His experiences in metallurgy, design, and failure analysis come from work in industry, projects and teaching at MSOE and projects completed as an independent
such as D2L®, Vista®, Moodle®, or one of the many other systemsavailable. These are in common use at most universities and colleges. Software for live onlineinteraction is also required. This may be something like Blackboard Collaborate®, Wimba® orGoToMeeting®. This allows multiple HSOL students to have a virtual meeting with theinstructor and the HF2F students. HSOL students can participate through voice or text. Someclassroom technology is also required. A classroom should be equipped with ceilingmicrophones, speakers, overhead projection and software/hardware which permits writing on thescreen. We use Sympodium®. The cost of equipping a classroom is approximately $10,000 -$15,000.2013 study summaryThe Industrial Engineering Technology
applied engineering and molecular biology approaches to the study of the skeletal response to mechanical loading. As a Mechanical Engineer, she worked on facil- ity design projects involving mechanical systems that included heating, ventilation, air conditioning, and energy conservation systems, as well as R&D of air conditioning equipment for Navy ships. Additional research interests have included the investigation of relationships among components of the indoor envi- ronment, occupants, and energy usage. Specifically, the effects of the indoor environment on occupant health and well-being and in parallel, how socially-mediated energy-saving strategies can increase aware- ness of energy use and/or increase energy
session was that both she and her colleague have degrees inscience. Before choosing to enter the law field, she attained her graduate degrees in plantphysiology and plant molecular biology and her colleague earned his graduate degree andpostdoctoral work in chemistry. So the scientists and engineers who attended the session feltcomfortable asking technical questions. The sessions were well attended, including all of thesenior engineering students, who work on capstone projects that can potentially be patented.At this time, the university has had more than 20 patents filed over the past seven years of itsexistence, the overwhelming majority of which faculty are the inventors. Therefore this talkwas definitely needed to inform and educate the NYUAD
visualdisplay can summarize any of the generated lexical indices, as specific indices may be morerelevant depending on the nature of the analyzed text. An optional feature is the ability for theresearcher to represent newly supported lexical indices from the literature, or even create theirown lexical indices out of basic linguistic feature ‘building blocks’ as a further path of research.A major goal of this ongoing project is to bring a Natural Language Processing based approachto a field of research where it shows promise and is relatively absent. 1. Bransford, J. D., Brown, A. L., & Cocking, R. R. (2000). How people learn brain, mind, experience, and school. Washington, DC: National Academy Press. 2. Chandler, P., & Sweller, J
Paper ID #15895A Case Study for the Application of Data and Process Mining in InterventionProgram Assessment and ImprovementMs. Elnaz Douzali, University of Illinois, Chicago Elnaz Douzali is a senior undergraduate researcher at the University of Illinois at Chicago. She’s a part of the Mechanical and Industrial Engineering Department and will receive her Bachelors of Science in Industrial Engineering in May 2016. Since 2015 Elnaz has participated in multiple projects in Educational Data Mining. Her research interests include Educational Data Mining, Process Mining, and Healthcare. Elnaz will begin her Masters of Science
Paper ID #15497A Comparative Study of Teaching Lean Manufacturing via Hands-On andComputer-Aided SimulationProf. Tzu-Liang Bill Tseng, University of Texas - El Paso Dr. Tseng is a Professor and Chair of Industrial, Manufacturing and Systems Engineering at UTEP. His research focuses on the computational intelligence, data mining, bio- informatics and advanced manu- facturing. Dr. Tseng published in many refereed journals such as IEEE Transactions, IIE Transaction, Journal of Manufacturing Systems and others. He has been serving as a principle investigator of many research projects, funded by NSF, NASA, DoEd, KSEF and LMC. He
often overrepresented inthese communities. This study addresses the intersection between the projected growth ofunderrepresented minorities in the United States, the disproportionate representation ofminorities in lower SES communities, the role of SES on academic achievement and the need toprepare Americans for future engineering challenges. The purpose of this study is to examine theschool and personal factors that are significant to elementary students’ understanding prior toclassroom experiences with engineering. The following research questions guided thisinvestigation: ● When factoring in SES, how does that change our understanding of the ways we teach engineering to elementary students? ○ What is the impact of SES on
with and influencing other people so they conscientiously performingsome necessary work in accordance with a mutually agreed schedule” (p. 191), was identified asthe most prominent skill required in his studies of engineering practice.17 His later workcharacterizes engineering as a “combined human performance, in which expertise is distributedamong the participants and emerges from their social interactions” (p. 176)18 Consistent withthese findings, Brunhaver et al. conclude that “[i]n addition to doing technical work, youngengineers are responsible for non-technical tasks that require significant social interaction, suchas managing projects and coordinating the work of other people.”19 This conclusion is supportedby data from a large-scale
of the project, as well as the LEED scorecard for the building. Students were then required to discuss how this building excelled in that particular category. Requiring students to research and complete this discussion allowed them to discover ways in which buildings are made sustainable. 2. Evaluate a current building discussion: For these types of discussions, students are to evaluate current buildings in their community and discuss how the building was inefficient. For each of these discussions, the students are required to include pictures of the building they are discussing. Many times, students chose to write about the houses they currently live in, as the majority of the houses in the area are old
high and low spatial abilities. The students with highand low spatial ability were re-administered 5 questions from the PSVT-D. The students wereasked to sketch an isometric view of the 3D object from the given 2D pattern. Using a think-aloud protocol the students were asked to explain their visualization process in order to elicitspatial thinking. After each sketch, the students were also asked to describe their visualizationstrategy used in solving the problem by using a cardboard cut-out to help specifically understandthe obstacles of strategy use for those students who were not able to sketch the isometric object. Introduction Spatial ability research was nascent in 1883 when Galton projected his theory of imagery usingthe spatial
Community Colleges, Cañada is an open-enrollment institution, designed to welcome students of all backgrounds. In 2008, Cañada was awarded a Minority Science and Engineering Improvement Program (MSEIP) grant by the U.S. Department of Education. The project, entitled Student On-ramp Leading to Engineering and Sciences (SOLES), aimed to increase the participation, retention, and success of underrepresented and educationally disadvantaged students interested in pursuing careers in STEM fields. Among the strategies developed for this project is the Summer Math Jam – a one-week intensive mathematics program designed to improve students’ preparation for college-level math courses. When the SOLES grant ended in 2011, the college received
challengeshave given the students the chance to present their work to the class or write a documented reporton their project. Students have enjoyed these design challenges and we are continuing to findadditional impromptu design challenges to supplement the content of the curriculum.DataOur preliminary data shows promising results from our ENGR 100 course.78.5% of studentswho were enrolled in ENGR 100 in fall 2014 matriculated from their freshman to theirsophomore year. This is an increase of 14.6% from the previous year’s retention rate of 63.9%.The data is currently being evaluated to determine the retention rate for the fall 2015 cohort. Theanalysis of the fall 2015 data will require comparing students who traditionally began their careerin college
students learn the computer-aided manufacturing programFeatureCAM. In the laboratory portion of the course students are guided through the process forcreating numerical code for the machining of various components; this course is denoted – CAMCourse. There is also a project that entails students creating the required numerical code for themanufacture of an artifact of their choosing of moderate complexity.As mentioned previously, the Revised Purdue Spatial Visualization Test: Visualization ofRotations (Revised PSVT:R)20 is used to assess spatial ability in this work. The Revised PSVT:Ris a multiple choice test that consists of 30 questions that ask respondents to evaluate how one setof rotations is related to another set of rotations. An example
years of educational leadership, business development, project management and educational research to her role as President for the Brazos County campuses of Blinn College. She has worked specifically in data management and education reform with more than 500 schools districts in Texas, Nevada, Arkansas and New Mexico. She was project director for the Nevada Race to the Top application and served as a senior consultant to Dell Services on education data manage- ment in the development of integrated data warehouses in the Pk-20 environment. McMullen has a Master of Educational Administration from Texas A&M University and a Doctorate of Jurisprudence from the University of Houston. She has served on numerous state
by Borrego and Henderson12.MethodologyThe data used in this paper were collected as part of a three-year project studying long-termfaculty development groups in engineering. The purpose of the groups was to broaden the use ofevidence-based teaching practices in engineering courses. In particular, the project was focusedon broadening the use of interactive teaching and formative assessment. Most of the instructorswere interested in finding ways to engage students during class and learn more about students’learning process. Each group was led by a facilitator who was a faculty member with a history ofinnovative teaching using evidence-based pedagogical practices. Groups of 4 to 8 engineeringinstructors were formed at four geographically
, Construction and Environmental Engineering at Iowa State University. He earned his Bachelor of Science in Civil Engineering and his Master of Business Administration from the University of Minnesota and his PhD in Civil Engineering from Purdue University. He has over six years of industrial experience as a bridge construction project engineer for a construction contractor and as a research engineer for the Naval Civil Engineering Laboratory in Port Hueneme California. His teach- ing interests include construction equipment, cost estimating and construction process design including online and hybrid classes. His research interests include highway and heavy construction methods, road maintenance methods, innovations in
Washington, Colorado School of Mines, and Howard University. More recently (2011) she was named as co-PI of a national NSF innovation center (Epicenter), and leads an NSF program at Stanford on summer research experiences for high school teachers. Her industry experiences includes engineering positions at Detroit’s ”Big Three:” Ford Motor Company, General Motors Corporation, and Chrysler Corporation. At Stanford she has served a chair of the faculty senate, and is currently the Associate Vice Provost for Graduate Education.Dr. Mark Schar, Stanford University Dr. Schar works in the Center for Design Research - Designing Education Lab at Stanford University. He is also a member of the Symbiotic Project of Affective
over $2,400,000 worth of funded research, with a credit share of more than $1,750,000. Dr. Abbas is an award recipient of $600,000 of the Federal Highway Administration Exploratory and Advanced Research (FHWA EAR). The objective of the FHWA EAR is to ”research and develop projects that could lead to transformational changes and truly revolutionary advances in highway engineering and intermodal surface transportation in the United States.” The award funded multidisciplinary research that utilizes traffic simulation and advanced artificial intelligence techniques. He has also conducted research for the National Cooperative Highway Research Program on developing ”Traffic Control Strategies for Oversaturated
3 A panel of faculty discussed assembling a research statement to provide a broad outlookspanning various fields. A brief presentation about what to include in a research statementinformed the audience and sparked questions for the open discussion that followed. The facultymembers also discussed the challenges of writing research statements and proposals. A seminar on grant proposals provided basic information on how to develop a grantproposal. This topic was selected because successful grants are often needed to support aresearch group and secure funding for research. In this seminar applicants received in-depthinformation about what to include in the project summary. The speaker was adamant that theproject summary is the key to a
engineeringstudents in their perceptions and enactment of critical thinking? For the purpose of this paper, thefocus will be on one of the major categories discovered between the two groups of students: howstudents use and perform critical thinking.MethodologyThis study is the pilot phase of a larger project aiming to understand critical thinking for studentsand faculty in humanities and in engineering. As a pilot, four to five students each fromMaterials Science & Engineering and English were selected. Selection was based on requestingsenior students from both departments to respond to an interest email and/or in-class visit. Semi-structured interviews were conducted with five senior year undergraduate Materials Science &Engineering students and
for Engineering Education, 2015 Achieving High Functioning Teams Using Team-Based Learning in Flipped Classrooms Abstract Achieving high functioning teams is essential for successfully implementing flipped classroomsmethods relying on collaborative learning. Team-Based Learning is a unique approach toflipping a classroom because of its prescribed framework. This paper provides quantitative andqualitative data showing that teams are high functioning and high performing yet minimalinstructor guidance and intervention is required when Team-Based Learning is used inmechanical engineering courses. Introduction From lab to design courses to group projects in general education or major courses, students
computer engineering in the Department of Electrical and Computer Engineering and the director of Control, Sensor, Network, and Perception (CSNAP) Laboratory at Temple University. Previous to coming to academia, he worked at Electron- ics and Telecommunications Research Institute as a senior research engineer. Currently, he is actively guiding various research projects funded by National Science Foundation, Pennsylvania Department of Health, and Department of Defense. His research interests include stochastic optimal control theory, sensing systems, and virtual laboratory assistant. Page 26.449.1
engineering-related subjects. It makes possible the offering of real Page 26.487.3 Proceedings of the 2015 ASEE North Central Section Conference 2 Copyright © 2015, American Society for Engineering Education experiments (e.g., FPGA, CPLD, PIC microcontrollers) to a particular group of users through any computer network.” 7. This remote laboratory uses Browser-Server architecture software.• UTS Remote Labs: UTS Remote Labs is “part of Lab share, an Australian Government funded project that aims to create a national network of shared, remotely accessible laboratories.” 8. This lab