University of Chicago, MBA from the Illinois Institute of Technology, and M.A. in Education and Ph.D. in Instructional Design and Organization Development from The Ohio State University. He was J. Harris Ward Fellow while at the University of Chicago. Dr. Aron has edited and contributed to a number of science textbooks.Dr. Abour H. Cherif, DeVry University Dr. Abour H. Cherif (acherif@devry.edu) is the national associate dean of curriculum for math and sci- ence, and clinical laboratory sciences at DeVry University Home Office, Downers Grove, IL. He is past president (2008–2009) of the American Association of University Administration (AAUA). He holds a B.S. from Tripoli University, an MS.T. from Portland State University
Electric Circuit problems and their interest level was alsoincreased which resulted in better retention in the course. The name MATLAB stands forMATrix LABoratory. MATLAB was written originally to provide easy access to matrix softwaredeveloped by the LINPACK (linear system package) and EISPACK (Eigen system package)projects. MATLAB is computational in nature which provides conceptual approach for designingand solving problems in Electrical Circuits. MATLAB has embedded software calledSIMULINK which provides an essential way to model, simulate and analyze Electrical Systemswhich are characterized by some inputs and outputs. This paper will discuss the summerundergraduate research training project in which the students tested the basic electrical
composite materials. A companion thread for the program is LabVIEWprogramming, which is integrated into each topic. Robotics and the associated programming areintriguing topics for the students and provide immediate motivation for studying engineering.The students explore instrumentation, sensors, and control using Lego Robots. They useLabVIEW to investigate material properties and behavior for metals, polymers, and composites.The LabVIEW and MINDSTORM combination provides immediate, visual, verification ofproject solutions. Each topic is introduced by a series of short lectures followed by hands-oninteractive laboratory sessions. The students quickly gain skills and facility with both tools,using creative approaches to accomplish the various
Science Board and the Director of the National Science Foundation. As a Ph.D student she worked on a project sponsored by Army Research Laboratories. In addition, she worked as a graduate intern for Locked Martin Corporations. She presented her research results on SPIE Symposium Photonics + Applications. She earned her PhD in Electrical and Computer Engineering in August 2009. After completing her Ph.D, Dr. Verdin taught several electrical engineering courses at the University of Texas at El Paso.Dr. Ricardo von Borries, University of Texas, El PasoDr. Patricia A. Nava P.E., University of Texas, El PasoDr. Andrew C Butler, Duke University
Paper ID #10694C-STEM Curriculum for Integrated Computing and STEM Education (Cur-riculum Exchange)Prof. Harry H. Cheng, University of California, Davis Harry H. Cheng is a Professor in the Department of Mechanical and Aerospace Engineering, Graduate Group in Computer Science, and Graduate Group in Education at the University of California, Davis, where he is also the Director of the UC Davis Center for Integrated Computing and STEM Education (http://c-stem.ucdavis.edu) and Director of the Integration Engineering Laboratory. His current research includes developing computing and robotics technologies and integrate them into
-grade students and their teachers. She went on to become head naturalist at Foothill Horizons and later performed a variety of roles in Oakdale schools, including GATE (Gifted and Talented Education) teacher/coordinator, district science mentor teacher, elementary science special- ist, and district science fair coordinator. During her final ten years in the Oakdale Joint Unified School District, Anne Marie was the District Science teacher /coordinator creating a science program that was laboratory and field based reaching over 2500 students and 120 teachers annually. Currently she is the Sci- ence Teaching Specialist for the Liberal Studies Department, Cal Poly, San Luis Obispo. She has a B.S. in Biology from Cal
Research Fellow and recipient of the University of Illinois Clean Energy Education, Mavis Future Faculty, and Kuehn Fellowships. Page 24.653.1 c American Society for Engineering Education, 2014 Graduate students help to create a discovery-based and cooperative learning experience about clean energy for high school students (curriculum exchange)Target Grade Level: 9-10th grade basic science and 11-12th grade advanced science classes.Authors’Names: Justin M. Hutchison, Alicia Burge, Katie M. HutchisonCorresponding Author: (J.M.H.) 4125 Newmark Civil Engineering Laboratory, MC250, 205 N
Industrial Engineering, University of Illinois at Chicago. He also serves as the director of Sustainable Manufacturing Systems Research Laboratory. His research inter- ests include real-time energy management of manufacturing systems, multi-machine system modeling and throughput estimation, discrete event simulation, joint throughput and energy control, Lithium-Ion vehicle battery manufacturing and reliability assessment, and intelligent maintenance of manufacturing systems. Page 24.727.1 c American Society for Engineering Education, 2014 Inclusion of Renewable Energy
pursue a graduate education at the University of New Mexico. Throughout his undergraduate degree, Francisco was the President of the NMT Society of Automotive Engineers Student Chapter. During his time as president, the chapter grew to become one of the largest chapters in the world. He also volunteered at the NM State Science and Engineering Fair and NM State Science Olympiad. Francisco was awarded the NMT Student Appreciation Award (2013), the DOE Summer Visiting Faculty-Student Fellowship at Sandia National Laboratories (2013) and the University of Illinois at Urbana-Champaign Outstanding Scholarship Award (2012
. Page 24.956.1 c American Society for Engineering Education, 2014 Open-source software in Biomedical Education: from tracking to modeling movementsProject OverviewA curriculum in biomedical engineering requires a set of laboratory experiences which allowstudents to familiarize with a number of medical equipment and simulation software that arecommonly used in the health care industry. Typically, engineering tools such as force plates,electromyography (EMG), and motion capture systems are used to acquire subjects’ data to beused as input for simulation software, so to characterize human movement performance.Movement analysis is a topic of extreme importance to be presented to the
worked as a faculty member of the Biology Department and was Director of the elementary school outreach program in the Office of Science Teaching at Florida State University (FSU). In her 21-year career she has worked with National Oceanic and Atmospheric Association and the National Park Service as a science educator and researcher and has been executive director of multiple non-profit environmental organizations. This experience has given Beth a strong background in grant writing, partnership building, laboratory research, teaching across K-12 and adults, as well as program development and curriculum writing.Miss Nancy Anna Newsome, Georgia Tech - Center for Education Integrating Science, Mathematics, and Com-puting
/ Laboratory) Retrospection Reflection Examination (Co-op Experience) Figure 1 Instructional Model of UnLectureMethodsImplementation of UnLecture in an engineering classroom requires meticulous assessment ofseveral aspects of the course. First, class time and student workload for existing traditionallecture modules and other course components such as laboratory projects need to be re-evaluatedin order to make time for the UnLecture activities. This is important because UnLecture requiresa reasonable amount of time and work, both inside and outside of the classroom. An UnLecturerelated to a certain topic is typically held after that topic is covered in a
normalized to a percentage ofthe total available points.The graphs of student performance for each method below on laboratory assignments and in theoverall course were creating using a normalized frequency. The students in the experimentalgroups were normalized against the other students in their method. The students in the controlgroup were normalized against the control group population. The normalized frequencies werecomputed as follows:This approach was taken due to the significant difference in the size of the groups. A simplefrequency distribution would make it virtually impossible to compare the control andexperimental groups. By normalizing the frequency distribution, the scale is adjusted so that thegroups can be compared.In addition to
Cal Poly campus, library, and laboratory facilities. In addition, thefaculty mentors outline their research projects, and the PIs describe the program objectives andlearning outcomes.Orientation also includes a series of interactive seminars and workshops on topics related tolaboratory safety, research best practices, communication styles, and learning styles. Personalityassessment tools (e.g., Myers-Briggs) help team members to understand one another andimprove communication. Similar methods exist whereby individuals assess their owncommunication style, which is based on the degree to which the individual is assertive andoutgoing.3,4 As part of this REU program, participants and research mentors identify their owncommunication style by
, requirements for receiving the electric power engineeringconcentration, various statistics that project program growth for the future, as well as a briefingon a new state-of-the-art power systems laboratory sponsored by Eaton Corporation through thepartnership described previously.Undergraduate Student Opportunities: Courses, Research Opportunities, & CO-OPStarting in 2007, an electric power engineering concentration was developed at theundergraduate level. Prospective students must take two required core courses and have theoption of selecting two electives from a variety of options. The two required courses includePower System Engineering & Analysis I and Linear Control Systems. In power systemengineering & analysis I, students learn the
Paper ID #10151A longitudinal study on the effectiveness of the Research Experience for Un-dergraduates (REU) program at Missouri University of Science and Technol-ogyDr. Hong Sheng, Missouri University of Science and Technology Dr. Hong Sheng is an Associate Professor in Information Science and Technology (IST) at Missouri University of Science and Technology (Missouri S&T). She is also co-director of the Laboratory for Information Technology Evaluation (LITE) at Missouri S&T. Her research interests include trust and privacy issues in information systems, mobile and ubiquitous applications, usability and eye tracking
Engineering Analysis (a three-credit hour studio offered each spring) , our freshmen,in a class size of 80-100, are engaged in a seamless, two-semester problem-based learningexperience.Course structure to accommodate PBLThrough a series of “Team Challenges” (i.e. design projects and experimentation) our freshmancohort engages in activities focused on fundamental STEM concepts and applications to helpthem better visualize and understand the path they have started on to enter engineering practice.Figure 1 illustrates the range of topics covered in Learning Outcomes established for the firstyear experience. To enable sufficient time obviously needed to cover such a broad range oftopics, the Analysis course comprises one credit hour of laboratory and two
present the method of solutionand grasp the theoretical ideas in practice to use it for multifaceted analysis of the controlproblem given in its nonlinear version as a real-world problem. Finally, author presents a studyof students’ assessment, grasping capabilities and challenges to make it thorough and rewardingfor undergraduate research experiences in Systems Dynamics & Controls and AerospaceEngineering.1.0 INTRODUCTIONIn the curriculum of the Department of Engineering and Aviation Sciences, there are twocompulsory courses on Control Systems; one is purely on learning the linear (classical) controlmethods very first time and the other course is on familiarizing the concepts of classical controlin the laboratory settings integrated with a
fresh-man level, students will be engaged in the scientific discovery process using exciting hands-on designchallenges to analyze artificial organs. In more advanced core engineering courses and laboratories, stu-dents will explore the function of artificial organs in the laboratory and investigate the variables affectingtheir performance. The engineering goals of this project are: (1) to explore the function of human and artificial organs; (2)to apply current research methodology state-of-the-art medical devices for a hands-on investigation ofartificial organs; and (3) to introduce fundamental engineering principles through experiments with artifi-cial organs; (4) to investigate the factors affecting artificial organ performance and design
environmentswhere students may be involved with, both individually or in groups. These uses wouldcomprise professional practices, learning based on ICTs and extracurricular activities, amongother traditional activities which commonly take place at universities, such as performingexercises or laboratory practices. Other authors such as Northwood et al.11 defend problem-based learning as the most appropriate for training future engineers, who may ownadaptability, flexibility and self-learning skills along their professional career.Related to the maritime field, Baylon6 brings up the change of concept between the maritimeSTCW-78 IMO training code –based on knowledge– and the newer STCW-95 –based oncompetences–, outlining the advantages of problem-based
Education, 2014 Student Autonomy: Implications of Design-Based Informal Learning Experiences in EngineeringAbstractAs part of their college-based undergraduate degree experience, a large portion of engineeringstudents are involved in different informal learning experiences, such as co-curricular designteams, student organizations, and undergraduate research. The purpose of this qualitative studywas to better understand engineering students’ learning experiences in informal learning sites,particularly their sense of autonomy, which emerged as a major theme in initial data analysis.Specifically, this study investigates a hands-on design and manufacturing laboratory forengineering students in a large research and state
(Connecticut) Annual fire-fighting home robot contest • AAAI Grand Challenges that focuses on human robot interactions • The Mobile Autonomous Systems Laboratory, a university-level vision-based autonomous robotics competition • VEX U, a university level VEX Robotics Competition for university students (ages 18+). • NASA's Annual Robotic Mining Competition • DARPA Robotics Challenge • IGVC autonomous ground vehicle competition • AUVSI Foundation and ONR's International Autonomous Underwater Vehicle Competition • AUVSI Foundation's International Aerial Robotics Competition • Marine Advanced Technology Education Center Competition • AUVSI Foundation's Student Unmanned Air System
participate in the REM program. Eachsemester, the REM program began with a Research Studio lasting approximately 8 hours beforestudents began the laboratory experience. The Research Studio included an introduction of tissuetest systems and overall EFRI project goals, completion of laboratory safety training, anintroduction to research ethics, technical writing, and basic laboratory practices, participation ina team building exercise, discussion of the projects to which each student would be exposed, anddiscussion of the expectations for and of RPs. Once RPs completed the Research Studio, each RPwas paired with a graduate student mentor and the mentor’s project. After completion of theResearch Studio, each student was required to spend 3 hours on lab
complete problemsolutions are now available including explicit equations for the desired voltages, currents, andpowers. The software has been used on a mandatory or strongly encouraged basis in 10 sectionsof a linear course at Arizona State University (totaling over 560 students) and by 42 students atthe University of Notre Dame, and a few students at the University of Virginia and twocommunity colleges in 2013. Student satisfaction has been very high at all sites. A controlled,randomized laboratory-based study showed that learning gains are approximately 10X higherusing the software tutorials than when working conventional textbook problems for the sameperiod of time, with a statistically significant effect size (Cohen d-value) of 1.21
). Students were allowed to select their own teams bypassing around a sign-up sheet with slots for each of the 17 teams.The project itself consisted of teams designing a hasty radiation-shielded transportation containerfor a potential radioactive dispersion device in a fictional military situation using a limited Page 24.8.3supply of materials. Graded items included 3 In-Progress Reviews (IPRs), a laboratory, and afinal written report of their design.The purpose of the first IPR was to recognize the problem; develop a problem statement;determine specified, implied, and essential tasks; research previous work in the field; developrequests for
Figure 1. Collaborative RelationshipsThe Autonomous Vehicle The concept for the development of a laboratory platform derived from an engineeringtechnology student’s senior design project at a four-year institution. Using the faculty member’sadvice, the students designed and constructed a vehicle capable of being controlled wirelessly,using a microcontroller development board, and work autonomous. The microcontroller boardused in this project was previously designed and developed at the university through a fundedgrant by the National Science Foundation. The board has been used at the university to teachthree related embedded systems design courses. Like many student projects, the design of the autonomous vehicle began with
Paper ID #8701A Hybrid Flipped First Year Engineering CourseDr. Jess W. Everett, Rowan University Jess W. Everett has worked in four distinct areas: waste management operations research, contaminated site assessment and remediation, education innovation, and sustainable engineering. He has employed a wide variety of techniques, including computer modeling, laboratory experiments, field testing, and surveys. His current research focuses on energy conservation, alternative energy generation, engineering learning communities, and hybrid courses (courses with classroom and on-line aspects).Dr. Jenahvive K Morgan, Rowan
enrolled. Like the results from PHYS 205, during one semester no online system wasused. Timed in class problems worked in with partners made up most of the homework grade,although End of Chapter problems were assigned throughout the semester.Along with the use of online learning systems, many other variables are involved includingvariation in student population, textbooks, changes in my presentation of material in lecture, andchanges in the accompanying laboratory section make it impossible to suggest that onlinelearning systems alone affect student critical thinking skills and conceptual understanding ofphysics as measured by the cumulative final exam. Along with these other variables, the smallsample size make any significant conclusions about
community service learning course projectsand capstone course design projects. Students have access to the well-equipped laboratories,including computing laboratories with discipline-specific software that are essential toachievement of program objectives. (CSUN, 2014)This was further emphasized by Sorto (2008) when he stated that increasing competition in themarketplace as well as the need for improved productivity had put more of an emphasis on amore effective management of technical functions of a company. Moreover, in search of betterflexibility and efficiency, many companies have reduced the numbers and levels of managementpositions and instead are giving more decision making power to the teams at the operationallevels. In high tech companies
is strong in the winter when there is less sunlight available. Today, U.S.wind energy installations produce enough electricity on a typical day to power the equivalent ofmore than 9.7 million homes [5].The goal of this research is to develop and evaluate a custom constructed wind tunnel attachmentfor an experimental small scale wind turbine with 400W power rating in the natural environmentand inside a controlled laboratory. A cone shaped wing guide apparatus (WGA) is constructed toforce air away from the wind turbine hub toward the tips of the wind turbine blades. Air sent tothe center of the turbine does not cause the wind turbine to rotate thus producing no usablepower. The wind velocities at the inlet and the wind speeds at the outlet