useful research results and industry practices into the classroom as well as using design research results to inform engineering practice.Dr. Carl B Dietrich P.E., Virginia Polytechnic Institute and State University A licensed Professional Engineer in Virginia, Carl Dietrich earned a BS EE degree from Texas A&M University, and MS EE and PhD EE degrees from Virginia Tech. He has taught courses in software defined radio, communications systems, electronics, and electromagnetic fields. He has also taught short courses on software defined radio since 2007, covering fundamental concepts and enabling technologies in addition to the use of open source software to develop and run SDR applications. In addition, Dr
designer and is currently a PhD stu- dent at the University of New Mexico in the Organization, Information and Learning Sciences department where she is interested in design experiences for both adults and students as they relate to learning com- puter science and computational thinking. She regularly conducts teacher professional development for teachers new to computer science and has helped to develop online supports for their continued profes- sional growth.Tryphenia B. Peele-Eady Ph.D., University of New Mexico Tryphenia Peele-Eady is Associate Professor in Department of Language, Literacy, and Sociocultural Studies, in the College of Education at the University of New Mexico, where she specializes in African
statistical signal processing for wireless sensor network applications and secure communications in wireless networks.Prof. Todd D. Morton, Western Washington University Todd Morton has been teaching the upper level embedded systems and senior project courses for Western Washington University’s Electronics Engineering Technology(EET) program for 25 years. He has been the EET program coordinator since 2005 and also served as department chair from 2008-2012. He is the author of the text ’Embedded Microcontrollers’, which covers assembly and C programming in small real-time embedded systems and has worked as a design engineer at Physio Control Corporation and at NASA’s Jet Propulsion Laboratory as an ASEE-NASA Summer Faculty
Lecture Award from the Computers in Education Division of ASEE (1998, 2005, and 2010), and the Brigadier General Roland E. Thomas Award for outstanding contribution to cadet education (both 1992 and 1993) at the U.S. Air Force Academy. He is an active ABET evaluator and an NCEES PE exam committee member.Dr. Thad B. Welch, Boise State University Thad B. Welch, Ph.D., P.E. received the B.E.E., M.S.E.E., E.E., and Ph.D. degrees from the Georgia Institute of Technology, Naval Postgraduate School, Naval Postgraduate School, and the University of Colorado in 1979, 1989, 1989, and 1997, respectively. He was commissioned in the U.S. Navy in 1979 and has been assigned to three submarines and a submarine repair tender. He has
Paper ID #19676Elementary School Use of the Sidekick Basic Kit for TI LaunchPadTMMs. Tara N. Kimmey 5th grade teacher in Manassas, Virginia. She earned her Bachelor’s of Science in Liberal Studies from Longwood University in 2011 with a concentration in Elementary Education. She then went on to earn her Master’s of Science in Curriculum and Instruction in Special Education K-12 in 2012.Dr. Thad B. Welch, Boise State University Thad B. Welch, Ph.D., P.E. received the B.E.E., M.S.E.E., E.E., and Ph.D. degrees from the Georgia Institute of Technology, Naval Postgraduate School, Naval Postgraduate School, and the University of
∆t 2 − DS [yi +1, j - 2yi, j + yi-1, j - yi +1, j-1 + 2yi, j-1 - yi-1, j-1 ]= 0 ∆x 2 ∆t or [ ] [ ] y i, j+1 = - c y i + 2, j + y i - 2, j + b y i +1, j + y i -1, j + a y i, j - y i, j-1 [ + d y i +1, j - 2 y i, j + y i -1, j - y i +1, j-1 + 2 y i, j-1 - y i -1, j-1 ] (5) 6EI∆t 2 4EI∆t 2 EI∆t 2
assignment was used as a guide for discussions in thegroups regarding the projects. 1. State two projects that were discussed in your group that you liked. Describe the projects as you learned from your group members. 2. State one project that you discussed in your group that you could have worked in a different way. Please indicate if you strongly agree, agree, disagree, strongly disagree with, or are not sure with the following statements. a. Students in my group came prepared and willing to participate. b. Students in my group participated freely and were not intimidated by others. c. Students in my group asked questions when in doubt. d. My group summarized the
Paper ID #18630Using MyEngineeringLab for Learning Reinforcement in a Mechanics 1: Stat-ics CourseDr. James E. Lewis, University of Louisville James E. Lewis, Ph.D. is an Assistant Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. His research interests include paral- lel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology (Tablet PCs) used in the classroom.Dr. Thomas D. Rockaway, University of Louisville Thomas D. Rockaway, Ph.D., P.E., is an Associate Professor in the Civil and
teaching tool to teach concepts inductively, it results in aninductive teaching scenario; when students interact with the tool and use it as a learning tool tolearn concepts inductively, it results in an inductive learning scenario. The purpose of this studyis to evaluate the effectiveness of the VR simulation when used in inductive teaching vs.inductive learning scenarios.Choice of concepts and inductive approachThis study required the development of a VR simulation that (a) aided inductive learning of fluidmechanics concepts and (b) was capable of being used as a teaching tool (in an inductiveteaching scenario) as well as a learning tool (in an inductive learning scenario). Hence the fluidmechanics concepts to be covered and the inductive
throughout this project. Its mini 5-way digitalonboard joystick provides a simple way to drive the Roomba. For the purpose of wirelesscommunication, the nRF24L01 breakout is controlled via SPI (Serial Peripheral Interface) fortransmitting/receiving data. Figure 2 The system design (a) (b) Figure 3 The system design: (a) the host; (b) the client3.2 Hardware ConfigurationThe hardware configuration contains an iRobot (Roomba), a low power microcontroller(AT90USB1287), a single chip 2.4GHz transceiver (nRF24L01), a breakout board (FT232R),and a UART-USB component. The hardware configuration is introduced as follows
enrollment and high repeatrates. Table 1 shows that among the 3337 students enrolled in ME 311 during Fall 2007 toSummer 2014, 34% received a D, F, or withdrew (W).Table 1: Grade distribution for ME 311 students from Fall 2007 to Summer 2014 Grade Number of students A 302 (9%) B 658 (20%) C 1233 (37%) D/F/W 1144 (34%)A possible contributing factor to the bottleneck is the pedagogical approach. Prior to theredesign, instructors used a traditional lecture format and class time was divided betweenderivations, conceptual explanations, example problems, and assessments. Anecdotally, studentsreport that example problems are the most interesting part of the course, with derivations beingthe
the fit, r = 0.444 and p < 10−5.We also investigated the correlation between students’ use of CN and the number of homeworkassignments that they skipped. Skipping homework assignments is a strong (negative) indicatorof engagement with the course. For the semester described in this paper, no student earned agrade of “B” or higher while skipping more than 3 of the 28 assignments. Figure 3 shows therelationship between skipped assignments and the number of anar seeds earned. Once again, wesee a clear correlation, in this case negative, between students’ effort on CN and their effort onthe homework. 30! R²#=#0.18979
course was developed and deployed makes it model forpossible replicated at other institutions.Bibliography1. Hansen, R. E. (1995). Five principles for guiding curriculum development practice: The case of technological teacher education. Journal of Industrial Teacher Education. 32(2). Winter 1995.2. Arnold, A & Flumerfelt, S. (2012). Interlacing Mission, Strategic Planning, and Vision to Lean: Powerful DNA for Change. AASA Journal of Scholarship and Practice, 9(1), 26 - 47.3. Emiliani, B., Kensington, C., & Most, U. S. (2005). Lean in higher education.Center for Lean Business Management. Available at http://www. superfactory. com/articles/lean_higher_ed. Aspx.4. Emiliani, M. L. (2004). Improving business school
Universityincludes a culminating cornerstone design project. The project carried out by teams of fourstudents involves designing, building, testing, and demonstrating small autonomous roboticvehicles which must perform specified tasks while operating on a specially built robot course.To control the mechatronic elements of the course, a Raspberry Pi 2 Model B is used to drive anArduino (via a serial connection), an I/O Board (via I2C), and a PWM Board (via I2C). This setof boards is synchronized via the Raspberry Pi to a central PC, allowing the four regions of thecourse to run in parallel and provide the opportunity for competition between four robots.From the student perspective, the system is simplified and abstracted through a touch screeninterface that
: 10.1542/peds.2006-3322. URL http://pediatrics.aappublications.org/cgi/doi/10.1542/peds.2006-3322.[26] Media and Young Minds. American Academy of Pediatrics, 138, nov 2016.[27] Using Technology in the Early Childhood Classroom. URL http: //teacher.scholastic.com/professional/bruceperry/using{\_}technology.htm.[28] Adriana G. Bus, Zsofia K. Takacs, and Cornelia A T Kegel. Affordances and limitations of electronic storybooks for young children’s emergent literacy, 2015. ISSN 02732297.[29] Patricia M Greenfield. Technology and Informal Education: What is Taught, What is Learned. Science, pages 69–71, 2009.[30] Kathy Hirsh-Pasek, Jennifer M. Zosh, Roberta Michnick Golinkoff, James H. Gray, Michael B. Robb, and Jordy Kaufman
Grace, Peter Jamieson, Naoki Mizuno, and Boyu Zhang. Verilogtown: Cars, crashes and hardware design. In Proceedings of the 12th International Conference on Advances in Computer Entertainment Technology, ACE ’15, pages 39:1–39:3, 2015. URL http://doi.acm.org/10.1145/2832932.2832936.[33] Peter Jamieson and Jonathan Rose. A Verilog RTL Synthesis Tool for Heterogeneous FPGAs. In Field-Programmable Logic and Applications, pages 305–310, 2005. URL http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.3289.[34] Peter Jamieson, Kenneth B. Kent, Farnaz Gharibian, and Lesley Shannon. Odin II - An Open-source Verilog HDL Synthesis tool for CAD Research. In Proceedings of the IEEE Symposium on Field-Programmable Custom
Selection displayed as a radio button. Gradient – None / Some / Many Text box for written commentary – Multiple Choice – A / B / C defined can be required or optional choices Holistic rating Fixed scale from 1 (low) to 10 (high) Text box for written commentary – can be required or optionalWorkshop also has a guided workspace for instructors to author an evaluation rubric to scaffoldstudent responses. However, Workshop offers the instructor four different options forscaffolding student reviews of peer work. These response styles are listed below
, http://nces.ed.gov/fastfacts/display.asp?id=40, . (accessed: 4/1/2015). 4. Reeve Hamilton, “At UTEP, Success Is Not All About Graduation Rates”, March 2, 2012, http://www. nytimes .com/2012/03/02/us/utep-calls-for- success-criteria-other-than-graduation rates.html?pagewanted=all&_r=0 5. Steve Bossart, Senior Energy Analyst, DOE “Smart Grids & Microgrids for Government & Military Symposium” October 24-25, 2013, Arlington, VA. 6. X. Fang, S. Misra, G. Xue, D. Yang. Smart grid – the new and improved power grid: a survey. IEEE Communications Surveys Tutorials (2011). 7. B. Flores, "CAMPUS DIVERSITY FACTS”, http://research.utep.edu/ Default .aspx?tabid=44271, 1995-2007, (accessed 4/1/2015). 8
Paper ID #18042Using Information Gap Learning Techniques in Embedded Systems DesignEducationDr. J.W. Bruce, Mississippi State University J.W. Bruce is an Associate Professor in the Department of Electrical & Computer Engineering at Missis- sippi State University.Mr. Ryan A. Taylor, Mississippi State University Mr. Ryan Taylor is currently a doctoral candidate in the Department of Electrical and Computer Engineer- ing at Mississippi State University. He received his BSEE and MSEE from the University of Alabama, where his thesis centered on microcontroller education tools. His doctoral research focuses on asyn
structure the learning materials to instructorsand students who plan to use WReSTT as a future learning resource. To the end of improved training in software testing for our students, this paper presents empiricalstudies conducted in multiple undergraduate CS/SE programming courses at two large publicuniversities (University A and University B). The goal of our study is two-fold: 1) to evaluate theimpact of using WReSTT on the undergraduate students’ acquisition of knowledge and proficiencyof using testing techniques and tools, and 2) to demonstrate that using WReSTT resulted inimproved learning for students on their programming assignments and their ability to use testingtools on their team projects.1 http://wrestt.cis.fiu.edu/about-wrestt
Paper ID #18159Work in Progress: Analyzing Educational Methodologies for Electronic Tech-nology StudentsDr. Evelyn R. Sowells, North Carolina A&T State University Dr. Evelyn R. Sowells is an assistant professor in the Computer Systems Technology department at North Carolina A&T State University’s School of Technology. Prior to joining the School of Technology fac- ulty, she held position at U.S. Department of Energy, N.C. A&T’s Division of Research and College of Engineering. Dr. Sowells earned a Ph.D. in Electrical Engineering from North Carolina A&T State Uni- versity’s College of Engineering. She also
play with, (b) the app provided immediate feedback, and (c) thecompetitive features made the app more engaging. The other student from the experimentalgroup expressed, however, that the app was less motivating because the pencil and paperactivities were required in the course, whereas the use of the app was optional.These findings also paralleled themes based on answers to the open-ended survey question, “Iwould have played the AR app more if ...”. Of 26 responses, eight stated that they would haveused the AR app more if it offered a larger variety games and options. Two students explicitlystated closer alignment with course tasks and homework problems as a possible motivator,besides technical concerns such as bugs and battery drain, as well
of simulation is effective for onsite delivery mode or the onsite delivery mode; the simulation can support lower courses as well as higher level courses in the Electronic & Computer Engineering Technology (ECET) programs and Electronics Computer Technician (ECT) programs. b. Faculty feedback suggests that knowledge of simulation program and pedagogical skills are major factors for enhancing student learning. c. Students’ feedback suggests that simulation-based labs offer a safer environment for user. However, in a simulation environment there is no such threat. d. Simulation is effective when it is followed by the hands-on activity to reduce
., Illinois, 2001. 8. Vernier, M. A., & Wensing, P. M., & Morin, C. E., & Phillips, A., & Rice, B., & Wegman, K. R., & Hartle, C., & Clingan, P. A., & Kecskemety, K. M., & Freuler, R. J., “Design of a Full-Featured Robot Controller for Use in a First-Year Robotics Design Project,” Computers in Education Journal, vol. 6, no. 1, pp. 55–72, January-March 2015. 9. Kearsley, G. & Shneiderman, B., “Engagement Theory: A Framework for Technology-Based Teaching and Learning”, Educational Technology, Vol. 38, No. 5, September 1998, pp. 20-23. 10. Ossman, K., and Bucks, G., “First Year Student Team Projects Using MATLAB”, First Year Engineering Experience Conference, August 8-9
Paper ID #20366Using Audio to Train Pace in a Virtual EnvironmentDr. Ali Ahmad, Northwestern State University of Louisiana Ali Ahmad is the Head of the Engineering Technology Department at Northwestern State University of Louisiana. He received a B.Sc. degree in Industrial Engineering from the University of Jordan (Amman, Jordan; with Highest Distinction) and a M.Sc. and Ph.D. in Industrial Engineering from the University of Central Florida (Orlando, Fl, USA). He has diverse expertise in human-computer interaction, quality engineering, and simulating human-machine systems. He previously worked on projects related to transfer
Trevor Hastie. "Estimating the number of clustersin a data set via the gap statistic." Journal of the Royal Statistical Society: Series B (StatisticalMethodology) 63.2 (2001): 411-423.[10] Hartigan, John A., and Manchek A. Wong. "Algorithm AS 136: A k-means clusteringalgorithm." Journal of the Royal Statistical Society. Series C (Applied Statistics) 28.1 (1979):100-108.[11] J.A. Hartigan (1975). Clustering algorithms. John Wiley & Sons, Inc.[12] Hecking, T., Ziebarth, S., & amp; Hoppe, H. (2014). Analysis of Dynamic Resource AccessPatterns in Online Courses. Journal of Learning Analytics, 1, 34-60.[13] Steinley, Douglas. "K-means clustering: a half-century synthesis." British Journal ofMathematical and Statistical Psychology 59.1 (2006
-CyLE in the classroom. That is, we do not expectWReSTT-CyLE to replace existing learning management systems such as Moodle or Blackboardalready in use, or significantly change the content of the syllabus or the instructor’s teaching style.We recommend the following steps instructors may follow when using WReSTT-CyLE in theclassroom. We assume that the instructor is familiar with the learning content - DLOs and tutorialsavailable in WReSTT-CyLE. 1. Prior to the beginning of the semester request a course instance from the WReSTT-CyLE system administrator. 2. During the course setup perform the following: (a) Decide on the combination of LESs to use in the class (see Section 3.2) (b) Upload the class roll (c
Paper ID #18394Peer-based Gamification Products Critiquing: Two Case studies in Engineer-ing EducationJingwen(Jess) Li, PSU Jingwen Li is a current PhD candidate in Human Factors at IE department, Penn State University. She graduated from Beihang University, Beijing, with her thesis working on upper limb dynamic modeling applied in extravehicular activities considering spacesuit effects. Her research focus now includes model- ing cognitive aspects of human in a dynamic information system, maintaining vigilance through physical activity in during monitoring task, and applying gamification to enhance engineering education.Mr
load of 20 MPa at the right end andsupported by a fixed support on the left. The plate has respectively the modulus of elasticity (E) andPoisson’s ratio (n) of 200 GPa and 0.32. To aid in meshing the part, ten partitions were created onthe model in Abaqus as shown in Figure 1(b). The partitions help in creating a finer mesh aroundthe hole and in the vicinity of the fillet where the stress concentrations occur. The meshed model ofthe part is provided in Figure 1(c) showing the axial stress contour exerted on the plate. A CPS8Rtype element (An 8-node biquadratic plane stress quadrilateral, reduced integration element) wasused in the analysis to produce the displayed results. Various tools in Abaqus allow the users toproduce and display the
the analysis of the results.Materials and Methods This research began the summer of 2013 with the design and development of aninfrastructure that would support the use of a 3D printer for class projects. It was incorporated as partof the UNIV 1301 Foundations of Engineering classes (3 sections of the same class using the 3Dprinting technology) beginning the fall semester of 2014. The classes participating in this initial studyconsisted of similar enrollment numbers and demographics. Class A had twenty-four students andwas designated as the reference group and did not participate in the use of 3D printers in the class.The first class that did use 3D printers in the class (Class B) consisted of twenty-six students; thesecond class