Collection

2013 GSW

Authors

John Sibert; Matthew Goeckner; Dave Galley; Kory Goldammer

. IntroductionThere is now ample documentation that the United States is facing an economic crisis unless it Proceedings of the 2013 ASEE Gulf-Southwest Annual Conference, The University of Texas at Arlington, March 21 – 23, 2013. Copyright 2013, American Society for Engineering Educationincreases its production of talented science, technology, engineering and mathematics (STEM)graduates.1,2 As described in Rising Above the Gathering Storm,1 the global demand for skilledSTEM workers is increasing and the number of American students pursuing STEM careers islikely to continue to decline unless the Nation intervenes. In areas like the Dallas-Fort Worthmetroplex, with its concentration

Collection

2013 GSW

Authors

George Kitamura; Kristin Milam; Elvin Hii; Chris Kniffin; Alexander Graves; Amit Oza; Bernd Chudoba

that the first task for designing a vehicle is to“study, evaluate and understand...”1 We took his wisdom to heart and tried to implement this intoour entire project.The next step taken by the team was to define each discipline’s deliverables.  With these variables, the teams were able to create individual methodologies in order to produce their keydeliverables.  When combining the groups’ flows, we were able to create an overall group methodology. This flow incorporates all the disciplines but simplifies the processes to create aneat organizational hierarchy. Giving each team the responsibility to define their tasks for thesemester creates a sense of ownership of the project and indicates the makings of a successfulgroup.No matter how hard

Collection

2013 GSW

Authors

Tanvir Manzur; Md. Kabirul Islam; Nur Yazdani

Teaching Styles in Engineering Education. Engineering Education, 1988. 78(7): p. 674- 681.3. Rugarcia, A., et al., The Future of Engineering Education I. A Vision for a New Century. Chemical Engineering Education, 2000. 34(1): p. 16-25.TANVIR MANZURDr. Tanvir Manzur earned his Ph.D. in Civil Engineering from the University of Texas at Arlington in 2011. Heearned his M.Sc. and B.Sc. in Civil Engineering from Bangladesh University of Engineering and Technology(BUET) in 2003 and 2006, respectively. He has almost 10 years of teaching experience at university level. Dr.Manzur is now working as an assistant professor in the Department of Civil Engineering, University of Engineeringand Technology, Dhaka, Bangladesh.MD. KABIRUL ISLAMDr. Islam

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2013 GSW

Authors

Priscila Martinez-Avila; Emmanuel Varona; Doug D. Carlton; Abegayl Thomas; Kevin A. Schug

-ESP group did not. Our hypotheses were that theexperimental group would attain higher marks on examinations and a higher percentage ofstudents would pass the course (attaining marks of A, B, or C), compared to non-ESP students.The first hypothesis was proven. As shown in Figure 1, ESP students had statistically highergrades in the Exam 1, Exam 2, Exam 3, and the final exam (p < 0.05). ESP students retained ahigher average for Exam 4, which approximated significant value (p = 0.06). Due to a holidaybreak mid-week, only one ESP session was administered to prepare students for Exam 4 and theexam covered two chapters in the textbook. This could be the reason that no significance wasfound on Exam 4. The second hypothesis was proven by comparing

Collection

2013 GSW

Authors

Sara E. McCaslin

graduate degree in mechanical engineering. While these results will vary with studentpopulation, this work provides a fascinating insight into how online engineering studentsapproach their coursework. Data such as this can aid faculty into selecting appropriate deadlinesfor assignments and setting aside virtual office hours that best meet the needs of the workingprofessional online student. IntroductionMore and more working professionals are turning to online learning to further their careers andremain competitive in the modern workforce, often with both the approval and support of theiremployers [1]. How their educational needs may differ from those of the classical on-campusgraduate students is worthy of

Collection

2013 GSW

Authors

Mohammad Obadat P.E.; Mohammad Ali Khasawneh

challenging course. The authors attempted to test andutilize the response system hoping that it will ease and help in the learning process in acollaborative and dynamic approach. Turning Technology Response SystemThe applied technology is developed by Turning Technologies, LLC. The three main componentsof this system are: the handheld response card (Clicker), receiver, and Turningpoint 2008software (Figure 1). Response card Receiver Software Figure 1: The main components of the turning point technologyThe response card has different buttons that can be used as needed. Cards have alpha/numericbuttons to answer questions appropriately1. The cards communicate

Collection

2013 GSW

Authors

Lynn Peterson; James Epperson; Ramon Lopez; Kevin Schug; Carter Tiernan

linked to one or more of these objectives. Programcomponents include (1) implementation of the recognized best-practice “Emerging Scholars” program in high-loss courses in mathematics (specifically, Pre-calculus and Calculus I & II) andchemistry (Chemistry for Engineers and General Chemistry) courses, and (2) undergraduateresearch opportunities (“authentic experiences”) pairing first- and second-year undergraduateswith faculty mentors for the purpose of providing research experiences. The authenticexperiences component began in Spring 2010 and the first Emerging Scholars programs inmathematics and chemistry began in Fall 2010.Once data from three semesters of implementation of the Emerging Scholars courses wascollected and analyzed, it was

Collection

2013 GSW

Authors

Dan O. Popa; Nahum Torres; Cody Lundberg

Robocup Nanogram [1]. A dozenteams designed and fabricated micrometer scale robots that can be powered and controlledwithout wires. During the International Conference on Robotics and Automation (ICRA 2010,2011, 2012), the event (Mobile Microrobotics Challenge - MMC) called for competition withuntethered microrobots that must fit within a 600 µm diameter sphere [2]. On a controlled setupunder a microscope, microrobots race along a distance of 2 mm, push micropegs, and insert theminto holes, or they demonstrate a freely selected style of operation. In 2013, NIST delegatedresponsibility for the organization of the MMC to the IEEE Robotics and Automation Society,and the next challenge will be held at ICRA 2013 in Karlsruhe, Germany by a

Collection

2013 GSW

Authors

Danielle Reynolds; Nur Yazdani; Tanvir Manzur

Collection

2013 GSW

Authors

Christina K. White; Richard H. Crawford

together totake steps in effecting change to systematically enrich the field of engineering educationRecently, the National Academy of Engineers (NAE) explored broad realms of human concern –sustainability, health, vulnerability, and joy of living – and generated 14 specific 21st CenturyGrand Challenges that await innovative engineering solutions. The NAE solicited research andeducational leaders to face these 21st Century issues by establishing the Grand ChallengesScholars Program (GCSP) to prepare college students to solve the Grand Challenges. The NAEGCSP provides a framework for curricular enhancements that will motivate students to addressthe Grand Challenges through five components: (1) a research experience related to a GrandChallenge; (2

Collection

2013 GSW

Authors

Mohammed Zubair; Cherif Aissi

projects in the freshman year curriculum and even in high school curriculum.This process will help students to understand what they can accomplish by enrolling in STEM(Science, Technology, Engineering and Mathematics) fields, and more importantly is to equipthem with tools that will make learning STEM subjects more interesting.One of the tools that are widely used in the academia and industry is  National  Instrument’s Labview data acquisition hardware and software to acquire data, process and control [1]. Theseintegrated hardware-software tools use computers increased computational capabilities to assist Proceedings of the 2013 ASEE Gulf-Southwest Annual Conference, The University of Texas at Arlington, March

Collection

2013 GSW

Authors

Cherif Aissi; Mohammed Zubair

Friday Afternoon Session 1- Faculty Introducing Chaotic Circuits in Analog Systems Course Cherif Aissi Department of Industrial Technology University of Louisiana at Lafayette Mohammed Zubair Department of Electrical Engineering University of Louisiana at Lafayette AbstractFor decades, the engineering undergraduate education in the area of systems design has beenmainly focused in linear models. Today, it is important for students

Collection

2013 GSW

Authors

Xavier Mirza; Amir Ali; Thomas Reyes; Jonathan Zea

 project’s primary goal is the cost reduction for patients. The replacement surgeryand the risks associated can be an alarming factor for patients’ health. Product Requirements Breadboard – For testing purposes. Capacitors – To store the energy. Arduino UNO – To create a heartbeat model Oscilloscope – To get our energy readings. Vibration Motors – To mimic the heart vibrations. LTC3588-1 chip – To mount it onto the heart. Aluminum enclosure – To place the circuit inside. Fake Heart Prop – To mimic the actual heart with a motor inside Piezoelectric Energy Harvesters – To convert vibrations into electrical energy Design

Collection

2013 GSW

Authors

Edward E. Anderson

, graphic representation, variables lists, and mathematicalmodel, and requires users to develop each of these mental models (graphical representation isoptional). Andes includes an equation solving tool although users can also solve the equationsoff-line. A research project conducted on some 330 students approximately one-half of whomwere in a control group, resulted in a 3% (1/3 letter grade) student performance improvement ondepartmental pencil and paper examinations by students who did Andes homework rather thantraditional homework. Anecdotal results from Andes users (Schulze, et al.18) indicate thatstudents are initially reluctant to carefully define their variables, some students ask for help onalmost every step of a problem solution, giving

Collection

2013 ASEE Midwest Section Conference

Authors

Stephen A. Dyer; Frederick Burrack; Craig Weston; Kenneth Medema; Linda Head; Philip Mease

Crushing Stereotypes, Making Connections, and Encouraging Creativity: Music and Engineering S. A. Dyer,1 F. W. Burrack,2 C. A. Weston,3 K. P. Medema,4 L. M. Head,5 and P. Mease5 1 Department of Electrical and Computer Engineering 2 Office of Assessment, and School of Music, Theatre and Dance 3 School of Music, Theatre and Dance Kansas State University, Manhattan, KS 66506 USA 4 Ken Medema Music, Grandville, MI 49418 USA 5 Department of

Collection

2013 ASEE Midwest Section Conference

Authors

Russell Feldhausen; Scott Bell; Daniel A. Andresen

activity involved the use of a simpleto build and explain high performance computing (HPC) experiment. Students attending this HPCsession were given a brief background covering the breadth of uses for HPC in today’s world, atour of the Beocat cluster 1 , and then spent time working with a wind forecasting simulation builtusing the Scratch development environment 2 . This activity allowed the students to see the benefitsand limitations of multi-threaded applications, and a post-session survey of participants showedthat many of them felt confident in their ability to learn computer programming, and over halfwould consider pursuing a career that involved using HPC to solve problems.BackgroundThis outreach activity was sponsored by the K-State Office

Collection

2013 ASEE Midwest Section Conference

Authors

E. Carl Greco; Jim D. Reasoner; Scott Jordan

Efficacy of an Individualized, Self-Contained Instrumentation System in Electric Circuits Laboratory E. Carl Greco1, Jim D. Reasoner1 and Scott Jordan2 1 Electrical Engineering & 2Mathematics Departments Arkansas Tech UniversityAbstractA study was performed to evaluate the efficacy of a teaching protocol employing anindividualized, self-contained laboratory system for instruction in a fundamental electricalcircuits laboratory. For purpose of evaluation, students were divided into three groups withacademic matching between two of the groups. The control group utilized traditional laboratoryequipment and performed

Collection

2013 ASEE Midwest Section Conference

Authors

Fred Guzek; Kathy Brockway; Troy Brockway; Sue Guzek

it tends to facilitate building a community of inquiry. Communities of inquiry incorporatethree elements: cognitive, social, and teaching presence. The type of interactive dialogue thatcan be facilitated through blended learning fits the widely accepted processes facilitating criticalthinking and higher-order learning.1 The application of blended learning in this course wasaugmented by the inclusion of live interactive video and audio conferencing, as well as onlineposting of class recordings, allowing place and time bound students to participate fully in thegroup work, exercises, and discussions.Educational research indicates that high-impact educational practices HIP) augment studentengagement and retention. Such practices include studies

Collection

2013 ASEE Midwest Section Conference

Authors

Dustin Ewing; Aaron King; J.W. Clark; Steven Pihl; Raju Dandu

human error, ensuring optimal consistency between materials, and allows for the opportunity to operate the system using a PLC in the future. Current Method Ideal MethodPROJECT OBJECTIVE ACKNOWLEDGEMENTSBuild, install, and test a new metering apparatus for introducing 1/100 cu.ft. of material

Collection

2013 ASEE Midwest Section Conference

Authors

Kirk D. Kimery; Robert C. Murphree; Osman A. Martinez; Kevin R. Lewelling

donated an H2 drive and designed/built acustomized BEV motor. ADKO and REEM/RUUD have also contributed machine shopservices. It has connected students with practicing engineers to share knowledge/experience.Battery Electric Vehicle (BEV) Background Information A 2008 Pontiac G5 has been converted to a BEV using an 8 Hp induction motor, 21 kWLI battery, and 5-speed transmission. Figure 1 shows the BEV. Figure 2 shows dynamometertesting of battery voltage for various loads; a 6.2% voltage sag occurs at 145 Nm; this sag isacceptable and will not disable the drive.BEV Drive Design and Construction The H2 drive has been tested under dynamic driving conditions with limited success; asshown in Figure 3 below, the drive will disable when

Collection

2013 ASEE Midwest Section Conference

Authors

Cindi Mason; Janet Twomey; Lawrence Whitman

Use of a Probabilistic Neural Network to Assign Engineering Student Attrition Risk Factor Cindi Mason, Janet Twomey Ph.D., & Lawrence Whitman Ph.D. Wichita State University [Keywords: Retention, Probabilistic Neural Network, Attrition]1. Abstract The increased focus on student recruitment and retention has led to various studies oncorrelation between student attributes and attrition. The purpose of this study was to improve theability to identify students at risk of attrition by utilizing a probabilistic neural network (PNN) asa non-linear prediction model. This model was built using two cohorts of students at WichitaState

Collection

2013 ASEE Midwest Section Conference

Authors

Charles McIntyre

.  Identify organizations and professional societies that are relevant to your interests and goals.  Extract and transcribe (write down) important points presented by the guest speakers.From these revised course objectives a number of assignments were develop. Each assignmentdirectly correlates to each of the course objectives, as shown in Table 1. Table 1. CM&E 111 Assignments Assignments Title Points #1 Construction Terminology and Accreditation 10 #2 Materials Estimate (group assignment) 10 #3 Ethical Dilemmas

Collection

2013 ASEE Midwest Section Conference

Authors

John L. Krohn

Design of Experiments: Student Response to an Experiential Learning Approach John L. Krohn, Professor, Mechanical Engineering Arkansas Tech UniversityAbstractABET Student Outcome b) calls for engineering programs to demonstrate that students have “anability to design and conduct experiments, as well as to analyze and interpret data”1. Ourdepartment, as likely have many others across the country, has historically addressed thiscurriculum requirement with instruction in statistics and uncertainty analysis either in lab orother courses. Does presenting the fundamentals of statistical analysis, uncertainty and errorpropagation truly give students the

Collection

2013 ASEE Midwest Section Conference

Authors

Michael Mefenza; Franck Yonga; Christophe Bobda

330fps; thisincludes the time to read a frame from the camera, to process it, to put it into the memory.Keywords: FPGA, computer vision, video and image processing, prototyping, verification,high level specification, OpenCV, SystemC, Linux, education.IntroductionVideo and image processing applications are widely used in most human activities. Many ofthese applications are implemented or prototyped using OpenCV, a library which containsoptimized implementations of many common computer vision functions targeting desktopprocessors and GPUs. Due to the need of mobility and performance, they are moving from thecomputer-based systems to small, embedded platforms and distributed smart cameras [1].Moreover, the trend in electronic design and automation

Collection

2013 ASEE Midwest Section Conference

Authors

Daniel R. Miskin; W. Roy Penney; Edgar C. Clausen

ranging 𝑚3 𝑔𝑎𝑙from 2.2-2.8 ℎ𝑟 (9.8-12.2 𝑚𝑖𝑛 or gpm). The jet force was 3.5-19.8% higher than the calculatedforce due to gravity based on the mass of the deflector (𝐹𝑔 = 𝑚𝑔), indicating that there areexperimental errors which need to be corrected.IntroductionEngineering has its roots in applied science and mathematics, blending the skills of analyticalthinking, design and problem solving. Clearly, engineering students benefit from the “hands-on”aspects of their education such as co-ops/internships, research and undergraduate laboratories.Despite this fact, there has been a pedagogical shift toward classroom and lecture-basedengineering education, and away from laboratory education, over the past 30 years.1-3

Collection

2013 ASEE Midwest Section Conference

Authors

Julia L. Morse

Encouraging an Engineering Mindset amid Skill Practice In the Freshman Manufacturing Processes Lab Julia L. Morse Kansas State University – Salina CampusAbstractAt Kansas State University’s Salina Campus, Mechanical Engineering Technology students areintroduced to Manufacturing Processes as part of the freshman experience, leading up to adesign-to-build project in the end of the second semester.1 Although the classroom content andlab discussion topics attempted to address engineering problem-solving and design decisions,student course evaluations revealed that for many, their focus in the lab was on basic machineoperation procedure. Students

Collection

2013 ASEE Midwest Section Conference

Authors

Thomas Mertz

Criteria for Accrediting Engineering Technology Programs statesthat a desired capability of Engineering Technology graduates is “a commitment to quality,timeliness, and continuous improvement.” [1]Continuous improvement is the ongoing effort to improve products, services or processes. Thereare a number of formal continuous improvement methodologies, including Six Sigma, Lean andTotal Quality Management. [2]It was not my goal to teach such continuous improvement methodologies. Instead, I had threegoals: (1) Address quality, timeliness and continuous improvement as a roughly defined workethic that conscientious professionals practice daily. (2) Compel, as much as possible, thestudents to practice it. (3) Do this in a course that I regularly

Collection

2013 ASEE Midwest Section Conference

Authors

Robert M. O'Connell

facilitateconceptual learning [1], and that student-centered active learning can result in a deeperunderstanding of the concepts in question [2]. Furthermore, when active learning is conducted inan extensively group-based learning environment, students also develop various professionalskills, such as problem-solving, written and oral communication, independent learning, teamwork, etc. [1]. One group-based learning strategy that is popular with the author and which hasbeen used successfully in many academic settings both outside and within engineering is team-based learning TBL [3-9].The author has been using various forms of student-centered learning, particularly TBL,successfully in various undergraduate courses for three years. The success of using TBL

Collection

2013 ASEE Midwest Section Conference

Authors

Emilio C. Piesciorovsky; Noel N. Schulz

Protection Power System Course and Smart Grid Laboratory Integration Burns & McDonnell – K-State Smart Grid Laboratory Emilio C. Piesciorovsky and Dr. Noel N. Schulz Electrical and Computer Engineering Department, Engineering College, Kansas State University 1. Introduction 4. Experiment and Demonstration 5. ConclusionsIn the spring of 2013, the Protection Power System 4.1 Objectives

Collection

2013 ASEE Midwest Section Conference

Authors

Md. Mamunur Rashid; Mahbub Ahmed; Khalil Dajani; Jobaidur Rahman Khan; Haider Bhuiyan

, students respond to a number of questionsthrough a numerical rating (i.e., 1 through 5). These questions can be divided into two categories.In Category 1 questions, students evaluate themselves based on their learning experience.Examples of Category I questions include, “Were you prepared for class?” or “Were youintellectually challenged by the course plan?” Based on students’ feedback, a numerical index,known as the Student’s Self-Evaluation (SSE) Index can be calculated. The SSE is the averagevalue of students’ rating in response to each question. A higher index value typically indicates ahigher level of students’ satisfaction of their learning experience, and lower index value can beinterpreted as a lower level of students