. Both sections weretaught by the same instructor, one of the authors. Flipped-classroom in EE221Circuit Analysis I (EE221) is the first course in a series of circuit analysis courses. Peraccreditation requirements, it is a calculus-based course that covers the fundamental laws of DCcircuit analysis and evaluation via the application of Ohm’s and Kirchhoff’s laws. Circuitsimulation tools and laboratory exercises are implemented in this course to further cement theessential concepts. The EE221 Course Objectives are to: • Analyze resistive circuits using fundamental circuit analysis techniques: Ohm’s Law, Kirchoff’s laws, Thevenin’s and Norton’s laws. • Apply the fundamental circuit analysis techniques to determine the
- Communicates verbally and non-verbally in acompetencies of the curriculum. This implies that friendly and respectful manner.they should be incorporated from the beginning to - Achieves empathy with team members.the end of the program in all learning and teaching - Achieves harmonious work in disciplinaryscenarios such as classrooms, laboratories, projects, teamsinternships and field work. - Achieves harmonious work in interdisciplinary teamsThe objective is for students to learn to develop - Respects the opposing views of peers andethical competencies in engineering through active facultyand collaborative
suspected that the global learners who were not asinterested in science (particularly females) responded well to the GBL module. It is suspectedthat most of the students who commented on the fact that subject material should be taughtbefore the GBL module was executed, were sequential learners. This may be verified when morepost survey results are obtained. It should be noted that if used in conjunction with the PLMS, alllearners would have the opportunity to access content related material at any point during thegame development.The major challenge noted with the GBL module is the fact that the project was not a suitablereplacement for the laboratory component of the class and students suffered as a result. It shouldbe noted that in general, the
after the projects areover because the projects are small and requires the same mentor and/or specific equipment.This paper presents the results of a 15-month collaboration (two summers and one academicyear) between the Engineering Department at Virginia State University (VSU) and the HydrogenEnergy Laboratory at Old Dominion University (ODU) on sustainable energy. The aim of theODU REU Program is to motivate and encourage undergraduate students, especially those fromunderrepresented groups, to pursue advanced degrees and/or careers in science, technology,engineering, and mathematics (STEM). The ODU REU Program provided mentoring hands-onresearch experiences on sustainable energy, lab facilities, student offices and planned activities
technical content outcomes. Figure 8 shows the distribution ofthese assessments. ABET evaluation criteria covered within thermodynamics included a rangeof topics, including evaluation of information, environmental / political / scientific policies,writing and communications, and safety. In addition, 19 institutions focus solely on technicalcontent within their course(s).Figure 8: ABET outcomes assessed through chemical engineering thermodynamics.Process and SettingUnsurprisingly, all thermodynamics courses report using class / lecture time (Figure 9).Laboratories were only reported for two programs, explaining the small number of lab reportsseen in Figure 10.Figure 9: Types of instructional settings used by thermodynamics coursesIn terms of
playsa significant role in the geothermal energy applications.Geothermal energy, as natural steam and hot water, has been exploited for decades in order togenerate electricity, and both in space heating and industrial processes in many countries. Theserequire specifically engineering technology students to better gain competencies of geothermalenergy for applying industrial, residential, and commercial geothermal systems in design,installation, testing, operating, data acquisition, monitoring and troubleshooting of relatedgeothermal systems. However, due to larger laboratory space requirements, larger physical size,and the higher initial cost of geothermal energy applications, many engineering and technologyinstitutions were not able to include
Pennsylvania Jim Kearns is an Associate Professor of Electrical & Computer Engineering at York College of Penn- sylvania. He received a B.S. in Mechanical Engineering (SEAS) and a B.S. in Economics (Wharton) from the University of Pennsylvania in 1982. Subsequently, he received his M.E. from Carnegie-Mellon University in 1984, and his Ph.D. from the Georgia Institute of Technology in 1990, both in Mechanical Engineering. While at Georgia Tech he was the recipient of a Presidential Fellowship. Subsequently, he worked as a Postdoctoral Fellow at the Applied Research Laboratory of the University of Texas-Austin. Dr. Kearns has spent the past 22 years at York College of Pennsylvania developing new programs in mechanical
design and seeks to engage their enthusiasm forengineering. This is a two-credit laboratory course that meets in our design laboratory that isequipped with workbenches and tools. The capacity for the course is 24 students. Students workin groups of three, giving an instructor a maximum of eight groups per section. We had sixinstructors teaching a total of 22 sections for Fall 2017, some adjunct professors teaching justone course, and full-time faculty teaching up to six sections of this course. The instructors thatteach this course have been doing so for over six years and meet only once at the beginning ofthe semester and once in the middle of the semester. Students are assigned to teams usingCATME team maker based on prior experience in
educators who are willing to use our cyber security and cryptographylabs.In the future work, we plan on adopting large-scale cyber security lab modules through theintegration of the Global Environment for Network Innovations (GENI) and the currentlydeveloped lab modules, where GENI is a real-world, at-scale, programmable, and virtualnetworking-enabled laboratory for experiments in a variety of computer science and engineeringareas such as cyber security and networking. GENI testbed is sponsored by the National ScienceFoundation (NSF) [1], [2], and [3]. Student Performance Improvement over Semesters 105 Spring 18 Spring 19 100 95
-basedlearning is a dynamic method to inspire students to obtain a deeper understanding of the subjects, applyand integrate knowledge they are studying. Normally a project is a complex task that involves designthinking, decision making, problem solving, etc. [2]. The benefits of project-based learning includeimproved student participation in the learning, strengthened communication skills, promotion of criticaland proactive thinking [3]. Literature shows that real world problem will improve student’s understandingof the materials learned in classroom [1]. Laboratory work motivates students to learn actively, thus it hasbeen widely applied to many engineering subjects [4~9].Mechanical Vibration Course has been offered starting Spring 2014 for senior BSME
College of Engineering and the 2014 Engineers Without Borders-USA Peter J. Bosscher Faculty Advisor Award for Outstanding Leadership.Mr. Mostafa Soltaninejad, University of Nebraska, Lincoln Currently, I am a graduate student and studying Transportation Engineering at the University of Nebraska- Lincoln. My research focuses on using 360 videos and virtual reality for laboratory teaching in traffic engineering. Previously, I have received my B.Sc. degree in Civil Engineering and M.Sc. degree in Highway and Transportation Engineering from Iran. The title of my M.Sc. thesis was ”Feasibility of using coal waste powder in roller compacted concrete pavements”.Claudia Ponce de Leon Claudia Ponce de Leon is currently a junior
electric circuits where the circuit to be built is constructedfrom existing parts and connecting wires that students can assemble. Some instructors will havestudents build a transformer during the course [6], which is a non-rotating machine. Others havehad the students build a simple dc motor [7] to demonstrate the application of the basicelectromagnetic principles to yield rotational motion. But a practical rotating electrical machineis complex to construct, given the need for bearings, insulation, balancing for vibration, anddesign for appropriate cooling.Second, the laboratory materials required to demonstrate the operation and machinecharacteristics can be prohibitively expensive, with some systems costing over one hundredthousand dollars to
Benson, Andrew Danowitz, Paul Hummel, and Joseph Callenes-Sloan Electrical and Computer Engineering, Cal Poly San Luis ObispoAbstractMany undergraduate engineering courses include laboratory work where students are asked towork in pairs or groups to complete assignments. Group work can offer many benefits includingimproved communication and team work skills, appreciation and respect for others, and evenincreased individual performance. However, group work may also present drawbacks includingostracism, unequal work distribution (some group members not ‘pulling their own weight’) anddecreased individual performance. When creating groups, instructors are faced with decidingwhether to allow students to form their own groups or to
. Social support must also beprovided by faculty, and further assistance can be provided by peer mentors.Method of ImplementationThe implementation of the PFE course series involves merging professional principles,experiential learning activities, and academic assignments. Faculty members, industryrepresentatives, university administrators, community members, graduate and undergraduatepeers, and the PFE students themselves all play significant roles in the implementation of thecourse. The format for the course is a cooperative learning style. Students are introduced toconcepts during guest lectures, workshops, and laboratory tours, and are required to exploreideas relating to those concepts through assignments and projects. All assignments and
Paper ID #26679Promoting Undergraduate Research and Education through ExtracurricularEPA P3 ProjectsProf. Woo Hyoung Lee P.E., University of Central Florida Dr. Woo Hyoung Lee, P.E. is an assistant professor in the Department of Civil, Environmental, and Con- struction Engineering at the University of Central Florida (UCF). He received his Ph.D. in environmental engineering from the University of Cincinnati in 2009. Prior to joining UCF in 2013, he worked for U.S. Environmental Protection Agency’s National Risk Management Research Laboratory as a post-doc. His primary research area is to develop electrochemical
Mechanical Engineering with affiliate appointments in Biomedical Engineering, Material Science & Engineering, and Orthopedics & Rehabilitation, at the University of Wisconsin-Madison, where she es- tablished and directed the Bone and Joint Biomechanics (BJB) Laboratory. Dr. Ploeg received her Ph.D. in Mechanical Engineering from Queen’s University at Kingston, Ontario, Canada in 2000. She was the Director Preclinical Stress Analysis Group in the Research Department at Sulzer Orthopedics Ltd. (now Zimmer-Biomet GmbH), Winterthur, Switzerland from 1992-2002. Dr. Ploeg’s research focus is ortho- pedic biomechanics including design of medical devices, bone modeling and remodeling, mechanical testing, and finite
Space Vehicle Mission Planning Laboratory at the University of Maryland Eastern Shore. In 2010, he joined Eastern Michigan University as an Associate Dean in the College of Technology and currently is a Professor in the School of Engineer- ing Technology. He has an extensive experience in curriculum and laboratory design and development. Dr. Eydgahi has served as a member of the Board of Directors for Tau Alpha Pi, as a member of Advi- sory and Editorial boards for many International Journals in Engineering and Technology, as a member of review panel for NASA and Department of Education, as a regional and chapter chairman of IEEE, SME, and ASEE, and as a session chair and as a member of scientific and international
professor and di- rector of engineering technology at the University of Texas, Brownsville (UTB). Prior to joining the UTB faculty he was a visiting professor at the Rochester Institute of Technology and an associate professor of production engineering technology at PSG College of Technology, Bharathiar University, India, where he served as the director of the Computer Vision Laboratory and National Cadet Corps – Engineering Division Director. With over 29 years of teaching and research experience in manufacturing/mechanical engineering and engineering technology, he currently teaches in the areas of CAD/CAM/CIM, robotics and automation, product and process design, materials and manufacturing processes, machine design
reflect on their learnings with the aim of improving theirprogramming skills and the quality of their programs.Introductory programming courses have historically high attrition rates because often studentsare not sufficiently and dynamically engaged with programming tasks. In fact, failure rates of 30to 50% have been reported in literature [1]. Beginners frequently feel frustrated and disenchantedwith the subject since the challenges of learning programming appear to be too overwhelming toovercome. While laboratory components of these courses help students with getting feedbackand encouragement in the face of programming challenges, practice and motivation beyond thelab environment remain uncertain. Therefore, it is necessary to explore
aimed at understanding the effect of introducing the newmethods on the students gaining a more in-depth understanding of uncertainty analysis, as wellas improving their efficiency by using different methods. Four different instructors presentedthese three methods in ten different sections of a laboratory course, and 60 students volunteeredto fill a questionnaire. The survey questions and results are discussed below.1. How much has your understating of the role that uncertainty plays in an experimental analysis improved?2. Evaluate the difficulty of uncertainty analysis using the Law of Propagation of Uncertainty (Taylor’s Series Expansion) which you learned in EGR 220.3. Evaluate the difficulty of uncertainty analysis using Monte Carlo
Added Course Expenses and Technology Fees on Students of Differing Social and Economic StatusAbstractThe field of electronics has made immense advancements in affordability and portability that havetransformed engineering education. Engineering course curricula have increasingly incorporatedmodern technology that has made a positive impact by creating more hands on activities andexperiments. Specialized laboratory equipment and setups are being replaced with off the shelfdevices and components. Customized printed circuit boards can be purchased cheaply andfabricated in days instead of weeks. Creating these hands on activities has many timescorresponded with an increased expense that is passed on to the students in the form of a
assistant with the Visualization, Analysis, and Imaging Laboratory (VAIL), the GeoResources Institute (GRI), Mississippi State University. He is currently an Associate Professor with the Department of Engineering Technology, Prairie View A&M University. His research interests include digital signal processing, image and video coding, and wavelets.Dr. Suxia Cui, Prairie View A&M University Suxia Cui is an associate professor in the Department of Electrical and Computer Engineering at Prairie View A&M University (PVAMU). She joined PVAMU right after she obtained her Ph.D. degree in Com- puter Engineering from Mississippi State University in 2003. Her research interests include image and video processing
Paper ID #27420Board 7: Work in Progress: Approaches to Introduce Biomedical Engineer-ing Design to a Class with Diverse STEM BackgroundsMs. Angela Lai, Carnegie Mellon University Angela is a current 5th year PhD student in the Department of Biomedical Engineering at Carnegie Mel- lon University. She is actively involved in mentoring undergraduate and graduate students in both the laboratory and in the classroom and promoting the field of BME to the younger generations.Ms. Elaine Soohoo, Carnegie Mellon University Elaine is a 5th year PhD student in the Department of Biomedical Engineering at Carnegie Mellon Uni- versity
, student experiences, and educational programs through the use of development and learning theories. Her areas of focus include, among others, experiential learning, internationalizing curriculum, online learning, and educational technology innovations.Dr. Blake Everett Johnson, University of Illinois at Urbana-Champaign Dr. Blake Everett Johnson is a lecturer and instructional laboratory manager in the Department of Mechan- ical Science and Engineering at the University of Illinois at Urbana-Champaign. His research interests include experimental fluid mechanics, measurement science, and engineering education. He oversees un- dergraduate laboratories in fluid mechanics, fluid dynamics, and heat transfer. Pedagogically
over the Internet, computer-based learning increasingly happen in students’ personalspaces (e.g., homes, apartments), as opposed to public learning spaces (e.g., laboratories,libraries). In these personal spaces, it is difficult for students to get help from classmates orteaching assistants (TAs) when encountering problems. As a result, collaborative learning isdifficult and rare. This is especially true for urban universities such as Georgia State Universitywhere a significant portion of students are part-time students and/or commute. To address thisissue, we intend to broaden the concept of “virtual computer lab” to include general computer-based learning happening in “virtual space,” which is any location where people can meet
Cybersecurity Education Interventions: Three Case Studies,” IEEE Secur. Priv., vol. 13, no. 3, pp. 63– 69, May 2015.[14] J. M. D. Hill, C. A. Carver, J. W. Humphries, and U. W. Pooch, “Using an isolated network laboratory to teach advanced networks and security,” in Proceedings of the thirty- second SIGCSE technical symposium on Computer Science Education - SIGCSE ’01, 2001, pp. 36–40.[15] T. Bläsing, L. Batyuk, A.-D. Schmidt, A. Camtepe, and S. Albayrak, “An Android Application Sandbox System for Suspicious Software Detection.”[16] J. Mayo and P. Kearns, “A secure unrestricted advanced systems laboratory,” in The proceedings of the thirtieth SIGCSE technical symposium on Computer science education
explore and share quantitative results. This project’s recentcontributions are organized according to their central framework and presented below.Engineering Identity 1. A Case for Disaggregation. This work-in-progress paper explored how aggregation of demographic groups (gender within race/ethnicity) can obscure meaningful differences in the experiences of EGS. Researchers should disaggregate race/ethnicity by gender and other demographic groups, where possible, to uncover meaningful within group differences [27]. 2. Influence of Laboratory Group Makeup on Recognition. This work-in-progress paper explored the relationship between laboratory groups and engineering identity. We found that participants with two
University of Central Florida and is anticipated to graduate in Spring 2019. He has two masters degrees one in mechanical engineering from UCF and another in aerospace engineering form Sharif University of Technology. He currently works in the Nanofabrication and BioMEMS Laboratory at UCF and his research areas include Nanofabrication, Microfluidics, Sensors and Actuators, Computational Fluid Dynamics, Optimization, and Mathematical Modeling. c American Society for Engineering Education, 2019Running Head: Project CoMET RETCollaborative Multidisciplinary Engineering Design Experiences for Teachers (CoMET) Train the Trainer Model of Supports Type 5 Work in ProgressThe K-12 learning environment is
, traffic mangement and monitoring, and ethical hacking. Such fundamental modules should be accompanied withreal-world lab experiments and exercises to provide students with a better opportunity for understanding and mastering courseconcepts and material [3]. As there are various types of cyber security laboratories [4], Willems and Meinel [5] introduced software to assesscyber security lab experiments through a virtual machine technology (an online-based laboratory). The solution offers anefficient parameterization of experiment scenarios as well as a dynamic toolkit implementation virtual machine configuration.Meanwhile, Xiong and Pan [6] discussed an approach to integrate ProtoGENI, a GENI testbed resource, into computer scienceand
Florida previously. His research interests include Mixed-signal/RF circuit design and testing, measurement automation, environmental & biomedical data measurement, and educational robotics development.Mr. David Malawey, Texas A&M University David earned his B.S. in mechanical engineering at Missouri University of Science and Technology in 2011. After three years in the automotive industry in engine design and engine calibration, he transitioned to Texas A&M University for a M.S. in Mechanical Engineering in College Station, TX concluding in 2016. He has become involved in applied research in additive manufacturing, internet of things, and mechatronics. Currently his role is Technical Laboratory coordinator