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ASEE Annual Conference, 2014.[5] Flat World Knowledge. http://catalog.flatworldknowledge.com/. September 2014.[6] For Dummies eLearning. https://learn.dummies.com/. February 2015.[7] Freeman, S., S.L. Eddy, M. McDonough, M.K. Smith, N. Okoroafor, H. Jordt, and M.P. Wenderoth. Active Learning Increases Student Performance in Science, Engineering, and Mathematics. Proceedings of the National Academy of Sciences, vol. 111, no. 23, pgs. 8410 – 8415, 2014.[8] Galles, D. Data Structure Visualizations. https://www.cs.usfca.edu/~galles/visualization/Algorithms.html. February 2015.[9] Hagerty, G. and S. Smith. Using the Web-based Software ALEKS to Enhance College Algebra. Mathematics and Computer Education, Volume 39, No. 3, pgs
Society for Engineering Education, 2008.3. Brown C., Johnson M., Lax J., “Educational Classroom Technology: What Works Best in the Engineering Context”, 2007, 37th ASEE/IEEE Frontiers in Education Conference, Session S4J.4. Grady, H., and Codone, S., " From chalkboard to PowerPoint to the web: A continuum of technology," 2004 International Professional Communication Conference, pp. 217-222.5. Colegrove, Patrick. "Making It Real: 3D Printing as a Library Service." Why IT Matters to Higher Education: EDUCASE Review. EDUCASE, 27 Oct. 2014. Web. 18 Mar. 2016. .6. Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman, A., and Ludgate, H. (2013). NMC Horizon Report: 2013 Higher
partners.Additionally, the spaces should accommodate projects and competitions such as the ChemicalCar Competition, DOE wind energy, ASCE Concrete Canoe, ASCE Steel Bridge, roboticscompetitions, design competitions, NASA design competition(s), NAE Engineering 3U, AIChEvaccine design competition, DUI Grand Interaction Challenge, and hack-a-thons.As construction on the LIC began, the decision to locate the facility in a central, visible locationhelped to generate interest in the facility. Some students were already familiar with these kindsof centers because of two existing makerspaces on campus, and their word-of-mouth exchangeshelped to generate excitement. Students began contacting planning committee members withquestions regarding new student organizations
Review, 84, 191–215.Brown, S. D. & Lent, R. W. (1996). A social cognitive framework for career choice counseling. The Career Development Quarterly, 44, 354–366.Carpi, A.C.; Ronan, D.M.; Falconer, H.M. & Lents, N.L. (2017). Cultivating minority scientists: Undergraduate research increases self‐efficacy and career ambitions for underrepresented students in STEM. Journal of Research in Science Teaching, 54(2), 169-194.Code.org. (2019). Computer Science Principles. Retrieved from https://code.org/educate/csp.Cordes, D.; Parrish, A.; Dixon, B.; Borie, R.; Jackson, J. & Gaughan, P. (1997). An integrated first-year curriculum for computer science and computer engineering. 3. 1354-1358 vol.3 10.1109/FIE
–explanations: How students study and use examples in problem solving.” Cognitive Science, 13, 145-182.[20] Kalyuga, S., Chandler, P., Tuovinen, J. Sweller, J. 2001. “When problem solving is superior to studying worked examples.” Journal of Educational Psychology, 93, 579-588.[21] Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). "The expertise reversal effect," Educational Psychologist, 38(1), 23-31.[22] Reisslein, J., Atkinson, R.K., Seeling, P., and Reisslein, M. (2006). “Encountering the Expertise Reversal Effect with a Computer-Based Environment on Electrical Circuit Analysis.” Learning and Instruction, 16(2), 92-103, April.[23] Shelley, J. F., (1990). 800 Solved problems in vector mechanics for engineers statics
cutting-tools design. His research interests include Design-Based Research in technology-enabled learn- ing contexts, technology-mediated problem solving, applications of dynamic modeling for learning of complex topics, and the impact of epistemic beliefs on learning with technology.Prof. Clayton E Price, Missouri University of Science and Technology Professor Price has varied interests in the sciences, having earned degrees in geology/geophysics, math- ematics, and computer science. He has taught at S&T for 32 years, currently in the computer science department. He teaches introductory programming classes in C++ and the numerical analysis courses. As assistant to the chairman, he advises freshmen and transfer students
smart phones) have been introduced with significantlyreduced computational capabilities. This is only natural since these mobile devices where notdesigned to perform intense numerical calculations. However, they have become as common asslide rules in the 1960’s or hand calculators for the last four decades. There is now hardly anengineer without a smart phone. The question becomes, why is engineering education not usingsmart phones and tables (mobile devices) for complex engineering analysis? Two main concernscome to mind immediately, their screen sizes are small when compared to traditional desktop orlaptop computers, and they are relatively slow (but still faster than desktop computers in the1980’s). While the screen size can be a problem
. Bransford, N. Vye, and H. Bateman. Creating High-Quality Learning Environments: Guidelines from Research on How People Learn. In: The Knowledge Economy and Postsecondary Education: Report of a Workshop. P. Albjerg Graham and N. G. Stacey (Eds.). National Academy Press. Washington DC (2002).3. J. V. Gutiérrez Cuba, A. López-Malo, and E. Palou. Using Tablet PCs and Associated Technologies To Reveal Undergraduate and Graduate Student Thinking. Proceedings of the ASEE Annual Conference. Vancouver, BC. Canada (2011).4. F. Kowalski, S. Kowalski, and E. Hoover. Using InkSurvey: A Free Web-Based Tool for Open-Ended Questioning to Promote Active Learning and Real-Time Formative Assessment of Tablet PC-Equipped Engineering Students
., Techatassanasoontorn, A.A., and Devon, R.F., Tablet PC Use and Impact on Learning in Technology and Engineering Classrooms: A Preliminary Study, in Workshop on the Impact of Pen-based Technology. 2008: West Lafayette, IN.4. Chambers, Z., Chidanandan, A., DeVasher, R., Merkle, A., Minster, M., Mitra-Kirtley, S., Mutchler, D., Sexton, S., Watt, A., Williams, J., and Zoetewey, M., What is beyond the laptop initiative? Perhaps: Tablet PCs and DyKnow Vision software, in 36th ASEE/IEEE Frontiers in Education Conference. 2006: San Diego, CA.5. Garland, K.P., Diffusion and Adoption of Instructional Technology, in Instructional Technology: Past, present and future, G.J. Anglin, Editor. 1995, Libraries Unlimited: Englewood
, skills, content, and knowledge contained in the instruction are appropriate for Indiana Academic Standard(s) 2 All components - example samples, explanations, graphic illustrations - are appropriate for a broad spectrum of students in the designated grade level. 3 The level and methods of interaction are effective for teaching. 4 The presentation encourages effective and/or active learning. 5 The instructional technology has a clear and engaging representation/interface. 6 Using this technology has a significant advantage over traditional classroom methods. 7 Scores, reports, diagnostic results
increase the level of design complexity without risking overwhelming some otherstudents. The final recommendation is to use the newly designed 3.3V compatible trainersthroughout the course of the labs, which means replacing the traditional TTL 74LS family withthe newer 3.3V compatible 74HC family.References:1. J. Hill, Y. Yu, “The CPLD Provides a Third Option in Introductory Logic Circuits Course,” AC2012-5302, ASEE National Convention, 2012, session W5162. K. Hill, “Schematic Capture – ISE 13.x”, http://uhaweb.hartford.edu/kmhill/suppnotes/isetut/ise13x1/schem.htm3. K. Hill, Y. Yu, “Use of a CPLD in an Introductory Logic Circuits Course,” AC2013-7987, ASEE National Convention, 2013, session M4164. M. Radu, C. Cole, M. Dabacan, and S
for Research in Mathematics Education, 9, 40-62.[8] Borrego, M., Froyd, J. E. & Hall, T. S. (2010). Diffusion of engineering education innovations: A survey of awareness and adoption rates in U.S. engineering departments. Journal of Engineering Education, 99, 185-207.[9] Boyce, W. E. & DiPrima, R. C. (2005). Elementary differential equations. Wiley.
Power Factor KVA KW KVARS “C” bankKVARS “ S 0 100% Desired . LINE FEED PLANT LOAD P.F.CorrectionMOTOR LOAD POWER FACTOR CORRECTION SYSTEM USING SOFTWARE THAT WILL CORRECT THEPOWER FACTOR TO A DESIRED “SET” VALUE.FOR LINE FEED :*THE SYSTEM HAS INDICATORS FOR PLANT LINE FEED VOLTS and AMPSFOR PLANT LOAD :*THE SYSTEM HAS INDICATORS FOR PLANT LOAD POWER FACTOR, KVA, KW, KVARSFOR POWER FACTOR CORRECTIONUSING A “C” (CAPACITOR) BANK:*THE SYSTEM HAS A
and otherproduction overhead.Bibliography1 LabVIEW, http://www.ni.com/labview.2 Camtasia, http://www.techsmith.com.3 Doering, E. R., Luther, E., and Shearman, S., “Enhancing Digital Signal Processing Education with Audio SignalProcessing and Music Synthesis,” Proceedings of the ASEE 2008 Annual Conference and Exposition, Pittsburgh,PA.4 Doering, E. R., "Musical Signal Processing with LabVIEW (All Modules)," Connexions, January 15, 2008,http://cnx.org/content/col10507.5 Doering, E. R., "Additive Synthesis Techniques." Connexions. October 31, 2007. http://cnx.org/content/m15445.6 Wikipedia contributors, "Screencast," Wikipedia, The Free Encyclopedia, January 17, 2008.http://en.wikipedia.org/w/index.php?title=Screencast&oldid
systemThen, the GUI agent would generate the above XML message. This message would then be sentto the motor agents, or possibly to a larger agent such as a robot, and the user would see the Page 13.169.5desired set of motions that s/he programmed. After that the GUI agent is integrated in a website,the laboratory system would look like the structure in figure 3. Integration of RFIDThe next important thing is to integrate the RFID technology in the laboratory system. That isachieved by attaching the RFID readers’ antennas to motors, allowing rotational and translationaldegrees of freedom. Furthermore, since a basic robot is just a set of motors and
received in both a “Signaland Systems” course where only a very limited amount of course time was devoted to DT topicsand in the “DSP” course which was devoted entirely to discrete time and DSP topics. We havetried using both the moving average model and the savings account model in the classroom and,while the vast majority of the discussions are identical, there is considerably more student interestin the savings account discussions.We encourage educators to try this somewhat unconventional example as a first introduction in acourse such as discrete-time signals and systems (DTSS) or digital signal processing (DSP).References[1] S. K. Mitra, Digital Signal Processing: A Computer-Based Approach, McGraw-Hill, 3rd edition, 2006.[2] Daniel McGinn and
LabVIEW and its use in signals and systems and they can develop theirown LabVIEW programs. Student responses reveal that the visualization tools helped studentsimprove understanding of fundamental concepts such as aliasing and upsampling (95% ofstudents). In addition to the basic LabVIEW functions, the students responded that the functionsprovided in the Digital Filter Design and Control Design toolkits enabled them to design simplersystem representations.Bibliography1. Beyon, J. Y., “LabVIEW Programming, Data Acquisition and Analysis”, Prentice Hall PTR (Upper Saddle River,NJ), 2001.2. Oppenheim, A.V., Willsky, A.S. and Hamid, S., “Signals & Systems,” Prentice Hall Signal Processing Series,Hall PTR, (Upper Saddle River, NJ).3. Spanias, A
-view.cfm?id=16908. [4] Murat Tanyel, "Explorations In Communication Systems Using a Virtual Toolkit," 2003 ASEE Annual Conference and Exposition Proceedings, Salt Lake City, 2003, http://soa.asee.org/paper/conference/paper- view.cfm?id=18001. [5] S. Easwaran, "An Innovative Software Tool for Teaching Discrete Convolution from the Perspective of the Output Signal in Digital Signal Processing," 2005 ASEE Annual Conference and Exposition Proceedings, Portland, 2005, http://soa.asee.org/paper/conference/paper-view.cfm?id=20967. [6] Murat Tanyel, "Virtual Toolkit As a Tool for Innovation," 2006 ASEE Annual Conference and Exposition Proceedings, Chicago, 2006, http://soa.asee.org/paper/conference/paper-view.cfm?id=1016. [7] Marlin
Annual Conference & Exposition, Chicago, June 20065. Lin, A.N., “System Identification for Determination of Dynamic Properties from Forced-Vibration Page 14.417.14 Testing,” Experimental Techniques, 1997, pp.34-37.6. Denton, L., Glover, D, Rodman, F, Chapman, J, “Senior Design Final Report: Bridge Safety Monitoring System,” Virginia State University, 2008.7. Sazonov, Edward S. Ph.D. “New Wireless Bridge Sensors Powered By Passing Traffic,” ScienceDaily, October 20078. Uppal, A.S., et al, “Acoustic Emission Monitoring of Fatigue Cracks in Bridge Components,” Technology Digest 99-008, Transportation Technology Center, Inc., Association
vibration modes for the systems, and the effects of system parametersand input selections on output responses, two degrees of freedom mechanical systems, and theprinciples of vibration absorbers. Student response was very strong concerning the need of theGUIs to help foster a deeper understanding of course materials.Bibliography1. Avitabile, P., Pennell, S., and White, J., “Developing a Multisemester Interwoven Dynamic Systems Project to Foster Learning and Retention of STEM Material”, 2004 International Mechanical Engineering Congress and Exposition, Mechanical Engineering Education – Innovative Approaches to Teaching Fundamental Topics, ASME, Anaheim, CA, November 20042. J.H. Matthews, Using MATLAB to Obtain Both Numerical and Graphical
Computer Science communityin West Virginia will grow steadily.AcknowledgementThe authors would like to thank Google Inc. for providing the financial sponsorship.References [1] Google. Google Computer Science for High School. Retrieved from http://www.cs4hs.com. [2] A. Naz and M. Lu. 2014. A Google computer science for high school workshop. 121st ASEE Annual Conference and Exposition, Indianapolis, Indiana. [3] A. Naz and M. Lu. 2015. An online Google computer science for high school workshop. 122nd ASEE Annual Conference and Exposition, Seattle, Washington. [4] A. Naz, M. Lu, and S. Mustafa. 2015. Applying Google tools to facilitate online teaching. 122nd ASEE Annual Conference and Exposition, Seattle, Washington.
used, which isa small (900 MHz quad-core ARM Cortex-A7 CPU) single-boardcomputer [6]; and 3) Module 3: institutional strategies to supporteach team to design and implement team projects successfully alongwith the project-based learning and evidence-based researchstrategies [2].Figure 1. Flowchart of the technical platform through evidence-based teaching.Outcomes and measurement of the proposed platforms:The outcomes are rated by three factors, such as the measurement ofthe three modules, student feedback, and career development status.Firstly, the measurement of the three basic modules are as follows:1) Module 1 measurement: one (or two) exam(s) and teachingevaluations for several lectures; 2) Module 2 measurement: labreports’ grading
TECHFIT, whosereach have been restricted due to software availability on limited platforms, may want toconsider employing Wine with CrossOver to develop comparable software for otherplatforms used by their participants.References[1] M. E. Joorabchi, M. Ali and K. Philippe, "Real challenges in mobile app development," in Empirical Software Engineering and Measurement, ACM/IEEE International Symposium, 2013.[2] Wine HQ, "What is Wine?," Wine HQ, CodeWeavers, [Online]. Available: https://www.winehq.org. [Accessed 21 January 2019].[3] CodeWeavers, "CodeWeavers Licensing Questions," CodeWeavers, [Online]. Available: https://www.codeweavers.com/store/licensing. [Accessed 21 January 2019].[4] A. R. Harriger, B. C. Harriger, M. G. Flynn and S
. John, Digital Systems Design Using VHDL, Second Edition, Thompson, Toronto, Canada, 2008.2. Lee, S., Advanced Digital Logic Design: Using VHDL, State Machines, and Synthesis for FPGAs, Thompson, Toronto, Canada, 2007.3. Harris, D.M. and S.L. Harris, Digital Design and Computer Architecture, Morgan Kaufmann, San Francisco, CA, 2007.4. Hwang, E.O., Digital Logic and Microprocessor Design with VHDL, Thompson, Toronto, Canada, 2006.5. Hayne, R.J., "An Instructional Processor Design using VHDL and an FPGA," Computers in Education Journal, ASEE, Vol. 3 No. 2, April - June 2012.6. Hayne, R.J., "VHDL Projects to Reinforce Computer Architecture Classroom Instruction," Computers in Education Journal, Vol. XVIII No. 2, April
workThis paper demonstrates that it is possible for a public PUI to develop and deliver a successfulMOOC for relatively low cost using local resources. For this plan to be replicated at other publicPUIs, the instructor(s) must be willing to be only partially compensated for their time; theSummer 2012 workshop stipend and six units of release time received by the lead authorrepresents a fraction of the total time put into the creation of the hybrid course and MOOC. AMOOC developed using the model discussed in this paper would have to be a “labor of love.”While this may turn off many faculty members from creating their own MOOC, the lead authorexperienced a tremendous amount of personal satisfaction from helping hundreds of peoplearound the world
will be available to present at the conference. Additionally, the principal of the high school that is involved with this program has agreedto provide SAT/ACT scores and future graduation data (e.g., college major) of the participants aswell as of non-participant classes. This information will be used to measure the effectiveness ofthe program as well as the improvement year-to-year and the improvement cohort-to-cohort.References1 H. E. Dudeney and M. H. Dudeney, Puzzles and curious problems. T. Nelson and sons, ltd., 1932.2 A. B. Adcock, E. D. Demaine, M. L. Demaine, M. P. O’Brien, Reidl, F. S. Villaamil, and B. D. Sullivan, “Zig-Zag Numberlink is NP-Complete,” Journal of Information Processing, vol. 23, no. 3, pp. 239–245
education.In Proceedings of the international convention of the association for educational communicationsand technology (pp. 430-441).[3] E. Engstrom. “Schoolhouse rock: cartoons as education.” Journal of Popular Film andTelevision. vol. 23 (3), pp. 98-104, 1995.[4] Hsin, W. J., & Cigas, J. “Short videos improve student learning in online education.” Journalof Computing Sciences in Colleges. Vol. 28(5), pp. 253-259. 2013.[5] M. Huang and K. Gramoll. Online interactive multimedia for engineering thermodynamics.In ASEE Annual Conference Proceedings, June, 2004, Salt Lake City, UT.[6] S. Brown, C. Nicholas, and M. Kyte. “Evaluating the effectiveness of dynamic trafficanimations: Case study in transportation engineering education.” Journal of
plant model is assumed (see Equation 1) for the transferfunction from applied voltage (Va) to motor speed (y), and data from a step response is used toselect the poles and system gain. As only 3 parameters must be estimated (2 poles and a DCgain), students generally find the poles through trial and error after calculating the gain fromsteady-state values. y K ? 1 Va s - as - b 2Gathering the open-loop response data is a good exercise as the motor system’s control law mustbe modified to create the step input in voltage—the open-loop control law is that the
engineeringproducts. The result is that each student leaves the shop with one or more individual parts fromtheir team’s product and thus an individualized assignment. They spend the next several weeksindividually recreating their part(s) within a solid modelling software package. Assessment of astudent’s 3D results is based on a combination of visual comparison of the computer versionrelative to the actual part coupled with a comparison of the computer calculated mass (requiresthe students to correctly identify the material of their part) with the actual mass of the part. Thefinal grade assigned does factor in an assessment of the degree of difficulty to recognize thevariability in the student’s assigned parts. High quality work is also rewarded through