expecting to graduate in Spring of 2020. He has been working with high school computer science curriculum and is an advocate for Computer Science classes in all West Virginia schools. Recently, he has been working with middle school students in an after-school program focusing on exposure to STEM topics and experiences.Ms. Isabel Barrio Sanchez, West Virginia University Institute of Technology Isabel Barrio S´anchez is a college student at West Virginia University Institute of Technology. She is currently a Junior pursuing a Mathematics major and Computer Science and Economics minors. She has been working as a middle school and high school mentor for three years. Alongside the Computer Science department at WVU Tech and
Future Prospects,” Encycl. Human-Computer Interact., pp. 211–219, 2005.[10] Y. P. Xin, S., Kastberg, and Y. J., Chen, Conceptual Model-based Problem Solving (COMPS): A Response-to-Intervention Program for Students with Learning Difficulties in Mathematics.National Science Foundation funded project.2015.[11] S. S. Zentall, Students with Mild Exceptionalities (Characteristtics and Applications). 2014.
experiment, as learners have no opportunity to practice theskills they learned from the video. Another approach that holds great potential to enhancelaboratory experience for online education is the use of computer-based modeling and simulation(M&S) tools. Simulation based virtual laboratories emulate lab equipment and configurations inhighly realistic 3D environments and can deliver highly effective learning experiences.Computer-based modeling and simulation has been effectively used to model and simulate awide range of problems in a variety of fields, with particular success in science and engineering.For example, medical students and practitioners can safely perform surgeries on virtual patientsin a simulated environment to enhance their
D ∆t Where, a = 2 - ; b = ; c = ;d = S 2 . ρ∆x 4 ρ∆x 4 ρ∆x 4 ρ∆xEquation (5) provides the displacement of section i of the manipulator at time step j + 1 . Itfollows from this equation that, to obtain the displacements y n -1, j+1 and y n, j+1 , displacements ofthe fictitious points y n + 2, j , y n +1, j and y n +1, j-1 are required. These can be obtained using theboundary conditions related to the
within the VR Framework Low-Angle Vs High Angle Shot Polygon Count Composition Clues for Emotion PosingFinally, putting together all these individual 3D objects and positioning and orienting them helps builddifferent 3D scenes as shown below. The following are some very important results demonstrated from this framework: • A coordinate or coordinates is/are the numerical representation(s) of the location or position of an object. • The origin is typically at the center of the reference coordinate system. However, the origin need not necessarily be at the center of the modeling space. • Different conventions are used by programming language and modeling platforms that are available and used for modeling
Switching over Internet 3. Monitoring Temperature and Humidity over Internet 4. D/C Motor Control over Internet Figure 5: List of Experiments for the Basic IoT Training Module Figure 6: Mobile App Table 3: Function of each component ID S/No Component ID Component Functions 1. Relay C Relay Control for turning on/off the A/C or LED bulb. 2. Motion C
, K.D., Newell, J.A., and Newell, H.L. (2003). Rubric Development for Assessment of Undergraduate Research: Evaluating Multidisciplinary Team Projects,” (CD) Proceedings of the American Society for Engineering Education Conference.6. Whitman, L. E., Malzahn, D. E., Chaparro, B. S., Russell, M., Langrall, R., Mohler, B. A. (2005). A comparison of group processes, performance, and satisfaction in face-to-face versus computer- mediated engineering student design teams. Journal of Engineering Education, 94(3), 327-334.7. Zhou, Z., Pazos, P. (2014). Managing Engineering Capstone Design Teams: Important Considerations and Success Factors. Proceedings of the 2014 Industrial and Systems Engineering Research
, an undergraduate Mechanical EngineeringTechnology student at Georgia Southern University for his assistance in developing an initialversion of the VIs for the first example included in the paper. This was done in spring of 2009. Asdiscussed in the paper, the initial version was prepared in a form not accessible over the web.Bibliography1. Navaee, S., “Computing and Programming with LabVIEW,” Proceedings of the 2004 ASEE Annual Conference, Salt Lake City, Utah, 2004.2. Navaee, S., “Student Academic Development through Prescribed Undergraduate Projects,” Proceedings of the 2008 ASEE Annual Conference, Pittsburgh, PA, 2008.3. Navaee. S., “A Developed Toolkit for Analysis of Large Deflections of Beams,” Proceedings of the ASME
manufacturing devices were introduced. Why? Why are they so successful? 3. Name as many materials as you can that are used in additive manufacturing. 4. An assembly of five parts is needed. What material (ABS or PLA) would you choose and why to 3D print the parts? 5. When a part fails to print or fails to print properly what may be the cause(s)?PSoC 4 questions are the following. 1. What does the abbreviation PSoC stand for? 2. What processor architecture does the PSoC 4 use and what number of bits is it? 3. To blink an LED on an output pin, what two ways can an output pin be configured on a PSoC 4? 4. Describe the differences between an Arduino Uno and PSoC 4? 5. Why would
Chemical Engineering Department of the University of Utah. He received his B. S. and Ph. D. from the University of Utah and a M. S. from the University of California, San Diego. His teaching responsibilities include the senior unit operations laboratory and freshman design laboratory. His research interests focus on undergraduate education, targeted drug delivery, photobioreactor design, and instrumentation. Page 26.214.1 c American Society for Engineering Education, 2015 Analysis of Student Interactions with Browser-Based Interactive Simulations
found that almost all of the most common error messages could beimproved by simple regular-expression style substitutions. Page 26.217.9Bibliography1. Berland, M., & Martin, T. (2011). Clusters and patterns of novice programmers. In The meeting of the American Educational Research Association. New Orleans, LA.2. Blikstein, P. (2011, February). Using learning analytics to assess students' behavior in open-ended programming tasks. In Proceedings of the 1st international conference on learning analytics and knowledge (pp. 110-116). ACM.3. Blikstein, P., Worsley, M., Piech, C., Sahami, M., Cooper, S., & Koller, D. (2014
, 2004.5. S. R. Davies, “Spreadsheets in structural design”, Longman Publishing Group, 1996.6. E. Zaneldin and S. Ashur, “Using spreadsheets as a tool in teaching construction management concepts and applications”, American Society of Engineering Education (ASEE) Annual Conference, pp. 22-25, 2008.7. E. Zaneldin and B. El-Ariss, “Using spreadsheets and vba for teaching civil engineering concepts," J. Education, Informatics and Cybernetics, vol. 2, no. 1, pp. 28-36, 2011.8. K. W. Wong and J. P. Barford, “Teaching excel vba as a problem-solving tool for chemical engineering core courses", Education for Chemical Engineers, vol. 5, no. 4, pp. e72-e77, 2010.9. T. L. Chambers, “Teaching engineering analysis using vba for excel", in
andWi-Fi systems have to overcome to provide acceptable service, even in more or less benignenvironments.Finally, it is important to note that the I and Q signals can be captured and stored through minormodifications to the LabView VI’s. An instructive exercise is to have the students demodulate areal-world signal using Matlab. For example, suppose an FM signal is captured and stored in aMatlab vector “s” such that the in-phase and quadrature components are represented as the realand imaginary parts. We can extract the signal envelope as “envelope = abs(s)” and theinstantaneous phase as “theta = angle(s)”. Since the FM phase is the integral of the messagesignal, the message signal can be extracted by differentiating the phase using “m = diff
Science Class.Proceedings of the 17th SIGCSE symposium on Computer science education, 138-143.[2] Bergin, S. & Reilly, R. (2005). Programming: factors that influence success. ACM SIGCSEBulletin, Volume 37 – Issue 1, 411-415.[3] Bateman, C.R. (1973) Predicting performance in a basic computer course. Proceedings of theFifth Annual Meeting of American Institute for Decision Sciences, Boston, MA. 130-133.[4] Butcher, D.F., & Muth, W.A. (1985). Predicting performance in an introductory computer sciencecourse. Communications of the ACM, 28, 263-268.[5] Campbell P. F., & McCabe, G. P. (1984). Predicting the success of freshmen in a computerscience major. Commun. ACM, 27(11):1108–1113.[6] B. Cantwell-Wilson & Shrock, S
linked-list simulator.(The names of the students have been changed to preserve their privacy.) Figure 10. Using a form to collect answers to in-class exercisesWhen a student is called to the board towork a problem in a traditionalclassroom, (s)he is often asked to showthe steps in a derivation. The sameeffect can be achieved with a form,where successive questions ask whathappens during successive steps. Figure11 shows a form for collecting thisinformation, and Figure 12 presents theassociated spreadsheet.Note that the last question asks studentswhich row of the classroom they aresitting in. I use this question in myclasses to spot areas of the classroomwhere students are not engaged, and alsoto facilitate competitions among rows
a specific time increases their commitment to attend. ≠ Develop an online sign in process to better monitor program utilization. ≠ Develop a privacy policy so users are aware of session recording options.Bibliography1. Avison, D., Baskerville, R., & Myers, M. (2001). Controlling Action Research Projects. Information Technology & People, 14(1), 28-45.2. Bloom, B. S. (1984). The search for methods of group instruction as effective as one-to-one tutoring. Educational Leadership, 41(8), 4.3. Bork, A. (2000). Learning technology. Educause Review, 35(1), 74-81.4. Chang, S. L. (2004). The roles of mentors in electronic learning environments. AACE Journal, 12(3), 331-342.5. Elden, M., & Chisholm, R. F. (1993
image and video coding.Siew Koay, Prairie View A&M University Dr. S. T. Koay is currently professor at Department of Electrical and Computer Engineering, Prairie View A&M University. His current research interests are analytical modeling for spatial tracking of mobile objects for real time applications, statistical signal processing, modeling and simulation.Yonggao Yang, Prairie View A&M University Yonggao Yang is an associate professor in the Department of Computer Science at Prairie View A&M University in Texas. He joined the CS Department at PVAMU as an Assistant Professor in August 2002 immediately upon receiving a Ph.D. degree in Information Technology & Computer
particular,we are looking for a better motivator to attract students who are struggling and help them in away that they feel more directly addresses their problems.AcknowledgementsThis material is based upon work supported by the National Science Foundation under award0757020 (DUE). Any opinions, findings and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation (NSF).Bibliography[1] T. J. Cortina. An introduction to computer science for non-majors using principles of computation. In SIGCSE’07: Proceedings of the 38th SIGCSE technical symposium on Computer science education, pages 218–222, New
signals at2.1Mb/s. [20]. The Bluetooth USB Adapter supports the Microsoft Service Pack 2 Bluetoothstack.Java Software Platform for NXT Page 15.1155.4The NXT needs to have a firmware installed in order to be usable. The default firmware andsoftware, NXT-G, are adequate for normal users. However, for greater flexibility, an alternatefirmware and software system for the NXT, called leJOS NXJ, was adopted for the project. Itinterfaces with the NXT hardware and allows users to program in Java. The PC laptop usedleJOS JVM (Java Virtual Machine) under a Linux operating system. An open source integrateddevelopment environment (IDE) suitable for leJOS NXJ
greatlyreduced. Future improvements to the program could increase clarity of the feedback to thestudents and simplify administration of the grading.1 E. K. Hammond, (2013, Jan. 7) “Ekho's Quizzes, Tests And Exams,” [online]. Available: http://www.ekhovideos.com/EKHOSQUIZZTITLES.html,2 R. F. Hamade, M. Y. Jaber, and S. Sikström, “Analyzing CAD competence with univariate and multivariate learning curve models,” Comput. in Ind. Eng., vol. 56, pp. 1510–1518, 2009.3 R. K. Jadhav, “AutoCAD Grading Software Application GUI,” M.S. thesis, Dept. Comput. Sci., San Diego State University, San Diego, CA, 2010.4 G. B. Deo, “AutoCAD grading application: back end,” M.S. thesis, Dept. Comput. Sci. San Diego State University, San Diego, CA
: Inexpensive hardware and softwaretools,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,pp. 2934 – 2937, March 2010.[2] C.R.A. Gonzalez, C.B. Dietrich, S. Sayed, H.I. Volos, J.D. Gaeddert, P.M. Robert, J.H. Reed, and F.E. Kragh,“Open-source SCA-based core framework and rapid development tools enable software-defined radio education andresearch,” in IEEE Communications Magazine, Vol. 47, Issue 10, 2009, pp. 48 – 55.[3] T.B. Welch, T. Kent, C.H.G. Wright, and M.G. Morrow, “An Affordable Software Defined Radio,” inProceedings of IEEE DSP/SPE Workshop, pp. 791 – 796, January 2009 .[4] S. Katz and J. Flynn, “Using software defined radio (SDR) to demonstrate concepts in communications andsignal processing
retail price of this new OMAP- Page 22.1118.2based system is $149 (USD),2 while the suggested retail price for the still-available C6713 DSK is$395 (USD). When compared to the TMS320C6713 DSK, this new experimenter kit has several Figure 1: The new LogicPD Zoom OMAP-L138 eXperimenter Kit.changes, and depending upon the intended application these changes may or may not be consid-ered improvements. The OMAP-L138 SoC includes a multi-core processor that contains both aC6748 VLIW digital signal processor and an ARM926EJ-S RISC general purpose processor, bothrunning at 300 MHz. In the experimenter kit configuration, the processor has 64
and frequently with little interaction. This paperdiscusses the potential of BIM for improving collaborative AEC education, and proposes a wayforward for Universities, based on the outcomes of a series of surveys and interviews with arange of industry and academic stakeholders in the AEC professions, examining current andfuture practice in this important area.The need for collaboration in the AEC professionsIn the U.S., approximately eight per cent of the total workforce in 2007 was employed inconstruction and the industry contributed $611 billion, or 4.4 per cent of the gross domesticproduct (GDP) in that year1. Similarly, the construction industry represents approximately six percent of both Australia‟s and the UK‟s GDP2, 3. But despite the
University was designed for intellectuallygifted, highly motivated students entering the School of Engineering & Computer Science (ECS)with a wide range of interests, who desire a more diverse experience across the disciplines. Theprogram seeks to broaden Computer Science Fellows’ backgrounds in their chosen area(s) ofdiversification while preparing them for a graduate studies or for successful careers. TheComputer Science Fellows is a major within the School of Engineering & Computer Sciencewhere fellows are free to create an individualized course of study with the advice of a programdirector who mentors them throughout the entire undergraduate experience. The program hascourse requirements in computer science as well as other core courses
, S. (2001). Challenge and promise: Technology in the classroom. Retrieved March 18, 2002, from http://srdc.msstate.edu/publications/technologyed.pdf.4. Evans, C. (2008). The effectiveness of m-learning in the form of podcast revision lectures in higher education. Computers & Education, 50(2), 491-498.5. Flanagan, B. & Calandra, B. (2005). Podcasting for the K12 classroom. Learning and Leading with Technology, 33(3), 20-25.6. Gable, R., & Wolf, M. (Eds.). (1993). Instrument development in the affective domain. Boston: Kluwer Academic.7. Harris, H. Park, S. (2008). Educational usages of podcasting. British Journal of Educational Technology 39(3) 548-551.8. Hsu, H. (2003). Integrating technology
, S., et al., Modern Sensing and Computerized Data Acquisition Technology in High School Physics Labs. 2007. 23: p. 902-909.4. Kashlan, A.E.l. and S.E.l. Kashlan, Instrumentation and measurement course for non-electrical engineering students. 2006. 43: p. 173-184.5. Mishra, S., Y. Pan, and T. Oh. Undergraduate Research in Wireless Sensor Security Course. in Proceedings of the 13th Colloquium for Information Systems Security Education. 2009. Seattle, WA.6. Meshkova, E., J. Riihijarvi, and P. Mahonen. Teaching embedded systems with active learning: The SMEAGOL approach. in Frontiers in Education Conference, 2008. FIE 2008. 38th Annual. 2008.7. Li, S. and A.A. Khan, Applying IT Tools to a Laboratory Course
. Unpublishedmanuscript in progress, 2010. referenced in http://www.cs.cmu.edu/~CompThink/resources/TheLinkWing.pdf[3] Goadrich, M., Rogers, M., Smart Smartphone Development: IOS Versus Android. Proceedings of the 42nd ACMtechnical Symposium on Computer Science Education, Mar. 2011[4] Kurkovsky, S., Engaging students through mobile game development. Proceedings of the 40th AMC TechnicalSymposium on Computer Science Education March 3-7, 2009, 2009.[5] Papert, S., Mindstorms: children, computers, and powerful ideas, New York, NY: Basic Books, 1980.[6] Reilly, M., Kindergarten coders can program before they can read. New Scientist 2927, 21-22, 2013.[7] Resnick, M. All I Really Need to Know (About Creative Thinking) I Learned (By Studying How Children Learn
., Drogan, O., & Davis, S. F. (2002). Student use of introductory texts: Comparative survey findings from two universities. Teaching of Psychology, 29, 312-313.2. Abdous, M., Facer, B. R., & Yen, C. J. (2012). Academic effectiveness of podcasting: A comparative study of integrated versus supplemental use of podcasting in second language classes. Computers & Education, 58, 43- 52. doi:10.1016/j.compedu.2011.08.0213. Evans, C. (2008). The effectiveness of m-learning in the form of podcast revision lectures in higher education. Computers & Education, 50, 491-498. doi:10.1016/j.compedu.2007.09.0164. Fernandez, V., Simo, P., & Salan, J. M. (2009). Podcasting: A new technological tool to facilitate good practice
output slider link 6. As shown in Figures 5 through7, the results across all three are the same. Output Slider Velocity Versus Time 300 200 100 0 -1000.000 0.150 0.300 0.450 0.600 v6 (mm/s) -200 -300 -400 -500 -600 -700 time (sec) Figure 5. Excel Result for Output Slider Velocity versus Time Figure 6. Unigraphics NX7.5 Result for Output Slider Velocity versus Time
-enabled learning contexts, technology-mediated problem solving, applications of dynamic modeling for learning of complex topics, and the impact of epistemic beliefs on learning with technology.Dr. Suzanna Long, Missouri University of Science & Technology Dr. Suzanna Long is an Assistant Professor of Engineering Management and Systems Engineering (EMSE) at Missouri S&T and holds a Ph.D. and M.S. in engineering management, B.S. in physics and in history (University of Missouri-Rolla) and an M.A. in history (University of Missouri-St. Louis). Her research focuses on sustainable infrastructure systems, including sustainability in global supply chains and transportation systems. She is a recognized expert in