both semesters, except thatstudents played the SimulTrain game before the final exam in Fall 2018. The figure shows a 4%increase in average final exam score between semesters. Overall, student impressions about thegame were overwhelmingly positive. The game helped them translate the knowledge they Average Fi n al E xam S core 89 88 87 86 85 84 83 82 SUMMER 2017 FALL 2018 Figure 1: Comparison of Student Performancelearned in the class with a realistic portrayal of a project manager facing common issuesimpacting
connected plant(s). Fortesting purposes, only one moisture sensor and pump pair will be used.Conceptual DesignOne of the objectives of this senior design project was to design and build a cost effective and simple purewater irrigation system for indoor applications. Figure 1 shows the conceptual design of the proposedsystem. The overall design of the system was changed very little from the beginning phase of the projectto the finish. There are three main sections listed as the Brain Box, the water reservoir, and the connectedplant(s). Each of these parts consists of smaller components that allow the system to function properly. Figure 1. The SCEIIS pure water plants conceptual designSCEIIS Parts and SpecificationsThe main
enhance the students’ understanding of microcontrollers andmicroprocessors, and (3) add one or two EET251 lab(s) with C programming experiences canhelp student better transition from PIC16F84A to ARM M4 which is covered in EET 418. With the help of this new curriculum and the common hardware platform, CPET studentsat PVAMU had the opportunity to practice embedded system hands-on experiments withoutundue stress in connecting basic peripheral interfacing circuits. The problem that we perceivedwas that it was difficult for students to write C program code for the ARM microcontrollerbecause of the complexity of ARM technology. It will be helpful to introduce simplemicrocontroller, such as PIC16FXXX, in both ASM and C coding in some previous
this group was a combination of the fact that the areaof advanced manufacturing was identified as a gap in the workforce necessary to enableconsistent U. S. economic growth [12-15] in this globally critical area, and of the interest inguiding veterans towards STEM careers. The current project was conducted by a research teamof faculty members from the colleges of engineering and education at Old Dominion Universitywith broader areas of expertise: mechanical engineering with focus on robotics and bio-inspiredrobots in particular, digital thread, additive manufacturing, electrical engineering,microprocessor based design, material and technology engineering, as well as engineeringeducation. The team has also broad expertise in working with
robotic stacker system was delivered to Nucor Steel plant to be installed at Press #2 ofthe production line in highway products division. References:1. Bai, T., Zhu, J., Varma, V., “Characteristics of capstone design projects at universities in US and China: An Analysis”, ASEE Annual Conference & Exposition (ASEE 2007), AC 2007-17552. Dutson, A., Todd, R., Magleby, S., Sorensen, C., “A review of literature on teaching engineering design through project-oriented capstone courses,” J. of Engineering Education, Jan. 1997, pp. 17.3. Pomberger, G., “Software Engineering Education — Adjusting our Sails,” Education and Computing, vol. 8, no. 4, 1993, pp. 287-294.4. Thorpe, J. F., “Design of
.”) Page 25.1080.3Building RelationshipsBefore starting the PLTW conferences, Professor Harding spent a few years buildingrelationships with teachers from local high schools. Of the 20-30 high schools in the region,there were four PLTW schools, so he started there. His first contact at each school was generallywith the principal, then with the PLTW teacher(s).He built a recruiting presentation, and started visiting the schools. At one school, the largest inthe region, the PLTW instructors set up large assemblies of students (PLTW classes, physicsclasses, etc.) so he could speak to hundreds of students in a single visit. At the other schools henormally spoke to one or two PLTW classes.Although it has a recruiting component, the presentation itself
is powered, the coil in the motor can generate an electro-magneticforce of 44 lbs with the speed can reach up to15 ft/s. Each arm is equipped with four ThrusTubemotors. Figure 2: The Linear ThrusTube Mounted on the Rail3. Amplifiers for Thrust TubesAn amplifier is used to control the motion of each ThrusTube. Figure 3 shows the connection ofthe amplifier. When it receives signals through the J3 connection with a PC, it performs thefollowing tasks: a. Offers sixteen motion profiles which were stored through a RS-232 cable with a PC. b. Receives the command from the main program to choose one of the sixteen motion profiles for the motion. Figure 4 shows an example of setting up a motion profile for a typical
toinvestigate any difference in the significance between the two different educational levels. Thestate’s median household income was used to represent the economic variable. The population,education, and economic data were obtained from the most recent official statistics provided bythe U.S. Census Bureau (U.S. Census Bureau, 2008).18 The population and educational data wasobtained from the 2000 U.S. Census. Median household income was reported by the CensusBureau as a three-year average from 2002 to 2004. The geographical region of each state wasdetermined by the U. S. Environmental Protection Agency (EPA) region classifications (EPA,2008).19 The number of state and local incentives supporting green building were collected fromthe USGBC website
general knowledge of the aspects of Industrial Automation, and an understanding of logistical math, but not as in depth as I deem necessary for having an expert level understanding.” o Student F: “I understand how the industrial robot[s] operate, but [am] still having problem[s] grasping how it fully automate[s].” There was a diverse set of feedback regarding which aspects they felt most comfortable. Some students preferred the RARs along with programming, while others enjoyed the textbook assignments. Examples include: o Student G: “Coming out of the first robotics class I felt that I had a decent understanding of what
community college: Ivy Tech Community College ofIndiana. Ivy Tech started as a vocational school during the 1960’s, but over the decades hasbecome a system of approximately 40 campuses offering more than 150 programs includingcertificates, associate degrees, and apprenticeship programs. [1]In 2013, the Indiana state legislature enacted Senate Enrolled Act 182. This bill required statecolleges to create a single articulation pathway (commonly known as the Transfer SingleArticulation Pathway or TSAP) for programs with significant numbers of students who firstachieve an associate of science or arts degree with the intent of obtaining a related baccalaureatedegree. The Statewide Leadership Team identified Electrical Engineering Technology (EET)and
Barriers," Journal of Educators Online, vol. Jul, no. v15 n2, Jul 2018.[3] R. J. Amirault, "Distance Learning in the 21st Century University: Key Issues for leaders and faculty," Quarterly Review of Distance Education, vol. 13, no. 4, pp. 253-265, 2012.[4] S. Hsiung, J. Ritz, R. Jones and J. Eiland, "Design and Evaluation of a Microcontroller Training System for Hands-on Distance and Campus-Based Classes," Journal of Industrial Technology, vol. 26, no. 4, 2010.[5] M. Tutunea, R. Rus and V. Toader, "Traditional Education vs. E-learning in the vision of Romanian business students," International Journal of Education and Information technologies, vol. 3, no. 1, pp. 46-55, 2009.[6] S. Hsiung and W. Deal, "Distance Learning Teaching Hands
SD BayStack 650 Wir eles s Ac ces s Point BayStack 650 Wir eles s Ac ces s Point Bay Networks Bay Networks Figure 1. Polycom network and Ethernet network system, and Wide Area Network among Servers
AC 2008-1442: SOME INTERESTING ENGINEERING PROBLEMS WITHOBJECTS OF SIMPLE GEOMETRY AND RELATIVELY COMPLEXMATHEMATICAL FORMULATIONB. Sridhara, Middle Tennessee State University Dr. B. S. Sridhara is a professor in the Department of Engineering Technology and Industrial Studies at Middle Tennessee State University. He received his B.S.M.E. and M.S.M.E. degrees from Bangalore University and Indian Institute of Science, Bangalore, India. He received his M.S.M.E. and Ph. D. degrees from Stevens Institute of Technology, Hoboken, New Jersey, and Auburn University, Alabama. Dr. Sridhara has published several peer-reviewed articles in the areas of Acoustics, Vibration, finite element methods, and
more efficient.General Arrangement in EERC SB-36: Page 13.1292.16 16Existing Equipments Arrangement R Material Crib Hallway C Cut-off Saw SB-37 B Belt Sander SB-37 S Band Saw Dow/ATDC D Drill Press SB-36 M Vertical Mill SB-36 A Assembly Bench SB-36 ANALYSIS AND RESULTSLink No. Routing(Operation
under the grant EEC-0634279 (programmanager Dr. Mary Poats). Any opinions, findings and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References1. Gabbert, U. and Tzou, H. S. (2001). Smart Structures and Structronic System, Kluwer Academic Publishers, Dordrecht, Boston, London.2. Song, G., Qiao, P. Z., Binienda, W. K. and Zou, G. P. (2002). “Active Vibration Damping of Composite Beam using Smart Sensors and Actuators.” Journal of Aerospace Engineering, July 2002, 97-103. Page 13.1086.123. Inman, D. J. (1994
Distribution & Logistics Manufacturing Systems Mechanical Technology Architectural Technology College of Technology and Computer Science 1st P Technology programs to match a student’s skills and ambition r o f Doctor of Technology Systems (DTS) e (Proposed Fall ‘08) s s Operational Systems Information & o Computer Technology n a l M.S. D
this topic will support my overall degreeobjectivesExample of Lab Partner Rubric, suitable for groups of twoPlease complete the following table to evaluate your own work and that of your lab partner.Me: ____________________ Did you/she/he . . . . Lab Partner: ____________________Did not Met my Exceeded Did not Met my Exceeded mymeet my expectation my meet my expectati expectationsexpectations s expectations expectation ons s
Proceedings of the Section on Statistical Education, Alexandria, VA: American Statistical Association, 143- 147, 1997. 3. ASA Section on Statistical Education Committee on Training of Statisticians for Industry, "Preparing Statisticians for Careers in Industry," The American Statistician, 34, 65-75, 1980. 4. Barton,R.R., Nowack, C.A., Bisgaard, S., Czitrom, V., Spurrier, J.D., Vardeman, S., “A One-Semester, Laboratory-Based Quality-Oriented Statistics Curriculum for Engineering Students,” The American Statistician, Vol. 52, 1998. 5. Bryce, G. R., “Data Driven Experiences in an Introductory Statistics Course for Engineers Using Student Collected Data,” Proceedings of the Section on Statistical Education, American
Survey Employer Capstone Exam Survey Certification Annual & 5- Exam(s) Year Follow-up In-class Survey of Performance Grads Activities (Exams, presentations, etc.)Figure 1 Example Program Assessment Framework However, several factors call into question the reliability of course-based instructor madetests and examinations. According to Sewell9, non-academic factors such as work schedules,children at home, etc., might adversely affect student performance. Because more affluentcollege
thenidentified which beam loading(s) seemed appropriate for their application and comparedthe deflection of their bridge to each identified type of beam deflection. To complete theanalysis of their beams, students generated traditional slope and deflection diagrams fortheir beams, corresponding to the maximum experimental loads. Full projectdocumentation took the format of a technical report, including theoretical development,test procedure, analysis, experimental results, and appropriate figures.Results and DiscussionBased on the students’ calculations, two groups thought their bridges were staticallydeterminate structures. There was around 14% difference between the theoretical andexperimental deflection values for the beams under concentrated force
and social facilitation theory in teaching elementary school mathematics, ProQuest Information & Learning.6. Cooper, H., Robinson, J. C., and Patall, E. A. (2006) Does homework improve academic achievement? A synthesis of research, 1987–2003, Review of educational research 76, 1-62.7. Wallace, K. (2013) The Great Homework Debate: Too Much, Too Little or Busy Work?, CNN, http://www.cnn.com/2013/09/05/living/parents-too-much-homework/.8. Enayati, A. (2014) Is Homework Making Your Child Sick?, CNN, http://www.cnn.com/2014/03/21/health/homework-stress/.9. Kralovec, E. (2014) Should Schools Ban Homework?, CNN, http://www.cnn.com/2014/09/05/opinion/kralovec-ban-homework/.10. Bonham, S. W., Deardorff, D. L., and Beichner, R. J
procrastinators’distance learning outcomes. Computers & Education, 49, 2, 414–422.Simonson, M., Smaldino, S., Albright, M., & Zvacek, S. (2009). Teaching and learning ata distance: Foundations of distance education (4th ed.). Boston, MA: Pearson.Bates, R. & Khasawneh, S. (2007). Self-efficacy and college students’ perceptions anduse of online learning systems. Computers in Human Behavior, 23, 1, 175–191.Chen, A., Darst, P. W. & Pangrazi, R. P. (1999). What constitutes situational interest?Validating aconstruct in physical education. Measurement in Physical Education andExercise Science, 3, 3, 157–180.Guzley, R. M., Avanzino, S. & Bor, A. (2001). Simulated computer-mediated/video-interactive distance learning: a test of motivation, interaction
available; however, 10 hitswere blank, leaving 201 usable responses. Percentages in this document are based upon the 201number unless otherwise noted. Microsoft Excel was utilized to compile data into figures thatillustrate the composition of the respondents and for calculating percentages.Survey Questions. The following are the questions asked of the STEM Educators: Q1. Gender: M/F Q2. Age in Whole Years: 18-22, 23-30,. 31-37, 38-45, 46-54, 55-64, 65+ Q3. State Where You Teach: Country, State/Province Q4. State Level That You Teach: K-2, 3-6, 7-8, 9-10, 11-12, F, S, J, Sr, Grad Q5. State Subject that You Teach: Science, Technology, Engineering, Math, Other Q6. Your Highest Degree: AS, BS, MS, MBA, Ph.D., Ed.D
froontpanels off the LEDs have h pushbutttons that cann be configuured to issuee open or close commandds tothe circuiit breakers or o other functions as requ uired. Furthher, LEDs caan provide state indicatioon ofthe circuiit breaker wiithout requirring operatorrs to physicaally verify thhe breaker poosition. TheeLEDs aree essential iff a local disp play device iss not supplieed or availabble.The finall key component of the SEL S relays iss the commuunications poorts of the reelays. Theseerelays use EIA-485 serial s ports fo or communication. The serial ports allow DNP33.0communication
keys: q for stop the whole system, w and s for move up anddown of the linear actuators, e for activate all relays, c and z for turn on and off the conveyor. Key q wasused for safety and any emergencies. Figure 6: UDP transmit procedure Figure 7: UDP Java codeTesting for verification After all of the software and hardware were in place, the wireless control system was tested withthe mining robot. The system was tested in a 3.6 m by 4.8 m testing arena which simulated thecompetition arena. 225 kg of sand was used as an ice Regolith simulant for testing. The storage bin of 1.5m long by 0.5 m wide was made with plywood. The arena included mining area, obstacle
. X. Ling, "Using AUC and Accuracy in Evaluating Learning Algorithms," IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 17, no. 3, 2005.[12] Y.-H. Hu, C.-L. Lo and S.-P. Shih, "Developing early warning systems to predict students’ online learning performance," Computers in Human Behavior, vol. 36, p. 469–478, 2014.[13] L. P. Macfadyen and S. Dawson, "Mining LMS data to develop an ‘‘early warning system” for educators: A proof of concept," Computers & Education, vol. 54, pp. 588-599, 2010.[14] J. W. You, "Identifying significant indicators using LMS data to predict course achievement in online learning," Internet and Higher Education, vol. 29, pp. 23-30, 2016.[15] B. K. Baradwaj and S. Pal, "Mining Educational
mentors. Follow-up questions were asked as probes to furtherexplore issues mentioned by the interviewee. For the question about from which they had learnedthe most, the interviewer asked, “Please describe the first few weeks of the program when youwere with your mentor/s.” A sample follow-up question would be related to knowledgemanagement systems such as, “What goals did you have for your mentor?” Findings Based on the interview transcripts we came up with five main themes regarding how therelationship between mentors and mentees affect mentees’ self-confidence in teachingelementary students about engineering technology.Identifying areas for improvement The program is designed to have
to its focus on accreditation, ABET defines educational programs by describing thecurriculum requirements for each major. For example, the description provided in Section II:Program Criteria for Accrediting Engineering Technology Programs [3] for programs containingelectrical and/or electronic(s) or other similar titles is: …prepare graduates to have competence in the following curricular areas: (a) the application of circuit analysis and design, computer programming, associated software, analog and digital electronics, and microcomputers, and engineering standards to the building, testing, operation, and maintenance of electrical/electronic(s) systems; (b) the application of natural sciences and mathematics at or
) Context and the Role of Standards in Increasing the Value of Learning Objects, in McGreal, R. Online Education Using Learning Objects (Open and Flexible Learning), pp. 159-167, Oxford, England: RoutledgeFalmer, 2004.8. S. Brand (1994) How Buildings Learn: What Happens After They're Built. London: Viking Penguin.9. J. Enkenberg (2001) Instructional Design and Emerging Teaching Models in Higher Education, Computers in Human Behavior, Vol. 17, pp. 495-506.10. I. Douglas (2001) Instructional Design Based on Reusable Learning objects: Applying Lessons of Object- Oriented Software Engineering to Learning Systems Design, in Frontiers in Education, 2001.11. D. R. Robertson (2003) Making Time, Making Change
2006-1673: EXAMINING THE IMPACT OF NANOTECHNOLOGIES FORSCIENCE, TECHNOLOGY AND SOCIETY (STS) STUDENTSAhmed Khan, DeVry University-Addison Ahmed S. Khan, Ph.D. is a senior Professor in the EET dept. at DeVry University, Addison, Illinois. He received his M.Sc (applied physics) from University of Karachi, an MSEE from Michigan Technological University, and an MBA from Keller Graduate School of Management. He received his Ph.D. from Colorado State University. His research interests are in the areas of Fiber Optics Communications, faculty development, and outcomes assessment, and, Internet and distance education. He is author of “The Telecommunications Fact Book” and co-author of “Technology and