.ggpht.com/yKDLwvyFupAnpbdHd6vj5PWsshMoOFnLC16h9MLZE8nqd4xJL8znvsTB7IsWXM79Ag=w300.2 J. M. Shafritz et al., “A Theory of Human Motivation,” in Classics of Public Adminsitration, 5th ed., Belmont, CA:Wadsworth/Thomson Learning, 2004, ch. 2, sec. 15, pp. 123-129.3 B. Bloom, “Vol. 1: Cognitive Domain,” in Taxonomy of Educational Objectives, New York: McKay, 1956.4 R. C. Overbaugh, L. Shultz, Bloom’s Taxonomy, Norfolk, VA: Online. Available FTP:http://ww2.odu.edu/educ/roverbau/Bloom/fx_Bloom_New.jpg.5 Y. A. Ҁengel, M. A. Boles, Thermodynamics: An Engineering Approach, 7th ed., Boston, MA: McGraw-Hill,2001.6 B. Gerstman, t Table, San Jose, CA. Online. Available FTP: http://www.sjsu.edu/faculty/gerstman/StatPrimer/t-table.pdf
full basement 41 ft 112 ft (a) Building 1 One-story reinforced concrete building with a 1950 basement (b) Building 2 45 ft 50 ft 45 ft 35 ft 36’ Connected 54-ft tall
starting point—for the purposes of thispaper Computers and Education because of its prevalence in the paper-paper citationnetwork- and draws a network of connected journals based on shared citations29. Journal-seeding illustrates the network of publications that send citations to each other,illustrating the venues through, which a scholarly discourse community is shaped. Todetermine the journals that merit inclusion in the network, a journal relatedness measure,the L Index, is calculated. The L-Index represents two dimensions of the relationshipbetween journals: the number of times Journal A is cited by Journal B and the number oftimes Journal B cites Journal A in the global position of journals indexed by Web ofKnowledge29. Represented
Meadows, L.M., Fowler, R., & Hildinger, E.S.. (2012). Empowering Students with Choice in the First Year, Proceedings of the 2012 American Society for Engineering Education Annual Conference & Exposition, San Antonio, TX, Paper AC 2012-4128.3 Patall, E.A., Cooper, H., & Robinson, J.C. (2008). The Effects of Choice on Intrinsic Motivation and Related Outcomes: A Meta-Analysis of Research Findings, Psychological Bulletin, 134(2), 270-300.4 Patall, E.A., Cooper, H., & Wynn, S.R. (2010). The Effectiveness and Relative Importance of Choice in the Classroom, Journal of Educational Psychology, 102(4), 896-915.5 Schwartz, B. (2004). The Paradox of Choice, New York City: Harper Perennial.6
regard toconceptual knowledge of DC circuit analysis and this unique population of community collegestudents. This is a major gap that has been addressed by the present study, which confirms thesame relationship in this population.Bibliography1 Streveler, R., Litzinger, T. A., Miller, R. L., & Steif, P. S. (2008). Learning Conceptual Knowledge in the Engineering Sciences: Overview and Future Research Directions. Journal of Engineering Education, 97(3), 279-294.2 Jones, B. D., Paretti, M. C., Hein, S. F., & Knott, T. W. (2010). An Analysis of Motivation Constructs with First- Year Engineering Students: Relationships Among Expectancies, Values, Achievement, and Career Plans. Journal of
order to define a protocol in item 6 above, each stage in iSLR is broken down into a moredetailed list of specific tasks, e.g., for items 3. Search Strategy and 4. Selection Process we have: a) Perform snowballing search from the starting paper and deliver a. Raw list of references, (this should be exported from Zotero in some electronic format for future inclusion in written documents) b. Selection criteria for eliminating / keeping papers from that list c. List of references after selection; each eliminated paper should have a comment or code explaining why it was eliminated. d. Suggestions for possible refinement of research question b) Perform
of pre- and post-test experiments and involve a theoretically-intensive, highly-organized qualitative approach.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.DUE 1122654.Bibliography[1] Huang, S., & Fang, N. (2010). Prediction of student academic performance in an engineering dynamics course: development and validation of multivariate regression models. International Journal of Engineering Education, 26, 1008-1017.[2] Kumar, R., & Plummer, M. (1997). Using contemporary tools to teach dynamics in engineering technology. International Journal of Engineering Education, 13, 407-411.[3] Rubin, M. B., & Altus E. (2000). An alternative
(3D-printing failures)due to errors in design, operation, part placement, material selection, etc. and the failures due to3D printers’ malfunctions (3D printer failures).3D-Printing Failures 3D-printing failures can be classified into three types based on their severity: (a)catastrophic 3D-printing failures where the 3D printers are damaged; (b) complete 3D-printingfailures where the failed objects cannot be repaired, and (c) partial 3D-printing failures where theobjects can be repaired by using some post-printing processes.Sometimes, early during printing, a corner of the printed part warps up and separates from theprinting platform. Since this corner is now higher than the tip of the extruder nozzle, the nozzlecan push all the built
higherrotation speeds, it will seem as if the wheels are moving forwards but slowly. This phenomenoncan be seen in the following YouTube video. In this case we are under-sampling, or sampling ata too low rate relative to the frequency of the wheel’s rotation, and the wheels spinningbackwards is our vision experiencing aliasing.http://www.youtube.com/watch?v=jHS9JGkEOmA Page 26.717.10 In the image below, we see two cases (case A and case B). Remember our brain samplesfor image processing. Imagine you’re looking at the wheel in case A, the first time you saw thewheel it was at position f1 and the next time you were able to make out the position of
A CAD Rendering of the Tower (Mast) of Candy Crane Page 26.1114.4 Figure 3.3 A CAD model of the Jib (Horizontal Beam)a) A CAD Model of the Candy Crane Assembly b) A Candy Crane Prototype Page 26.1114.5 Figure 3.4 Candy Crane a) A CAD Model b) A Physical Prototype with its Control unit Figure 3.4 Emulator4. Electrical/Electronic DesignThe electrical and electronics design includes circuit design that includes the use of candy cranecontroller, emulator controller, touch sensors (limit switches), and wireless communicationsystem. Figure 4.1 is the circuit
“because you don’t have the resources or the equipment or the knowledgethat is available out in the world”13. These Makers collaborate together to share information andexperiences within the community14. This community populates maker spaces and hackerspaces15 and gather with Makers in commercial spaces like Tech Shop16 and Maker Bench17.This study works alongside a larger project to explore if Makers can be considered engineers andvice versa2.B. LeadershipLeadership can be defined as having the knowledge and skills to lead a team in achieving goals3.Engineering leadership is often determined by an analysis of what leaders in engineering do18.Leaders should be lifelong learners, be service-oriented, express a positive attitude, balance theirlives
. Page 26.1447.6Table 4.Question MatrixCategories/Dimension A. Knowledge B. Abilities Behaviors1. Initiative/Confidence 1A 1B 1C2. Communication 2A 2B 2C3. Interpersonal Interaction 3A 3B 3C4. Teamwork 4A 4B 4C5. Engagement 5A 5B 5CCognitive interviewsAfter developing 60 possible survey questions regarding competencies and 4 user questions, twocollege recruiters were identified to assist with improving the survey instrument
measurements, and do so in teams. Previous projects developed for the freshmanclinic sequence have been described extensively and include topics ranging from flashlightfabrication and design and reverse engineering a coffee machine4,5 to detailed exploration of thehuman body6. Many of the projects conducted in FECI satisfy ABET student outcomerequirements. In particular, the course overall aims to meet objectives a, b, d, g, k of the ABETCriteria for Accrediting Engineering Programs7.To meet both the course and ABET objectives, a project inspired by the Consumer Reportsorganization was developed and implemented for the first time in Fall 2011. It has subsequentlybeen used in FECI in the Fall 2011, 2013, and 2014 semesters. The project was designed to
all non-engineering degree programs. At University B, however,the engineering physics degree program had a Choice Value just above the physics and appliedmathematics and statistics degree program Choice Values. Table 2: Total choice values by degree program at five diverse institutions. Choice Values Engineering Degree Program (all B.S.) CU Boulder Univ. B Univ. C Univ. D Univ. E RU/VH# RU/H Mast. L Mast. M Bacc/Div Aerospace Engineering Sciences 185.8 8.5
.) Page 26.1558.6Figure 1(b). Visualization of a single user’s behavior during a video watching session, showingcases of speed changing (vertical blue lines mark the time of each speed change). The passing ofeach minute marker as the student watches the video is represented by a black dot. (VideoLocation on the vertical axis represents the user’s location within the video in seconds, whileStudent Timeline on the horizontal axis represents real time in hours:minutes:seconds.)Figure 1(c). Visualization of a single user’s behavior during a video watching session, showingmultiple cases of jumping. Note that the black “watching” lines seem horizontal due to therelatively short timescale on the horizontal axis in this example (the whole horizontal
comparative literature review.,” ACM Comput. Surv., vol. 38, no. 3 Article 7, 2006. [2] E. Lindsay and M. C. Good, “Effects of laboratory access modes upon learning outcomes,” Educ. IEEE Trans., vol. 48, no. 4, pp. 619–631, 2005.[3] J. E. Corter, J. V Nickerson, S. K. Esche, C. Chassapis, S. Im, and J. Ma, “Constructing reality: A study of remote, hands-on, and simulated laboratories,” ACM Trans. Comput. Interact., vol. 14, no. 2, p. 7, 2007.[4] B. Aktan, C. A. Bohus, L. A. Crowl, and M. H. Shor, “Distance learning applied to control engineering laboratories,” Educ. IEEE Trans., vol. 39, no. 3, pp. 320–326, 1996.[5] Labshare, “The
an opportunity for our students to reflect on their experience with test benches in lab.CPLD Design ProcedureThe following outlines how our students use ISE with a CPLD. Students first produce adescription of the desired logic circuit, our emphasis is on using schematics like that in Figure 1.The inputs A and B are to the left and the output F is to the right. Figure 1: Example circuit schematicNext, produce a test bench file that describes a sequence of input signals. While a test bench canbe made to evaluate the resulting outputs, our emphasis is on visual inspection of the simulationresults. In Figure 2 we can see that the circuit behaves like an exclusive-OR gate. Figure 2
engineering students’ approaches to WSPsThe current study builds on previous empirical research about engineering students’ approachesto a specific WSP: water shortage in Jordan. In a phenomenographic study, we previouslyidentified four distinct approaches towards the problem1,2. In an order of increasing complexity,these approaches are called (A.) simplify and avoid, (B.) divide and control, (C.) isolate andsuccumb, and (D.) integrate and balance. Approach A is characterized by a general lack ofsincere engagement with the problem. Approach B represents an instrumental approach todealing with the problem. The problem is assumed to be divisible into independent parts that canbe solved in isolation from each other. Approach C differs from approach B in
for Team 1 and Appendix C for Team 2. Images of the team’s configuration, gestures, andvisual elements at specific intervals during the analyzed interactions are presentedchronologically in Appendix B for Team 1, and Appendix D for Team 2. Select sections of thetranscripts and select figures are repeated in the analysis below; figures whose captions beginwith the letters C or D can be found in Appendix C or Appendix D respectively.5.1.1. Team 1 - an example of not togetheringOur analysis of Team 1 left us with the image of multiple solitudes. Although the team membersfreely raised issues, stated ideas and opinions, and individually seemed to try to be productive,their discussions rarely produced a decision or created any kind of shared
the mesh equation game.7. AcknowledgmentsThis work was supported by the National Science Foundation through the TransformingUndergraduate Education in Science, Technology, Engineering and Mathematics Program underGrant Nos. DUE-1044497 and DUE-1323773. We thank Drs. J. Aberle, M. Ardakani, R. Ferzli,S. Goodnick, R. Gorur, G. Karady, Hongwei Mao, B. Matar, L. Sankar, Donghoon Shin, MengTao, C. Tepedelenlioglu, T. Thornton, D. Vasileska, Chao Wang, Hongbin Yu, and Hongyu Yufor using our software in their sections of EEE 202 at ASU; A. Holmes for using it in his courseECE 2630 at the University of Virginia; and Y. Astatke for using it in his course EEGR 202 atMorgan State University. We thank Daniel Sayre of John Wiley & Sons, Inc. for
' regulation of motivation. Journal of Educational Psychology, 90(2), 224-235.[10] Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166-183.[11] Zumbrunn, S., Tadlock, J., & Roberts, E. D. (2011). Encouraging self-regulated learning in the classroom: A review of the literature. Metropolitan Educational Research Consortium (MERC).[12] Wolters, C. A., Yu, S. L., & Pintrich, P. R. (1996). The relation between goal orientation and students' motivational beliefs and self-regulated learning. Learning and Individual Differences, 8(3), 211-238.[13] Pintrich, P. R. (2000). An achievement goal
Description DE2 Board A 8-bit instruction/data (in HEX) on SSD 4 and 5. This instruction is entered using switches (C) B 8-bit memory location in on-board RAM displayed on SSD 0 and 1. This address is entered using switches (D) C Switches used to enter 8-bit instruction. Switch 15 (left) is the MSB and switch 8 (right) is the LSB. D Switches used to enter 8-bit memory address. Switch 7 (left) is the MSB and switch 0 (right) is the LSB E Push button 0 used to write the instruction
convertercontrols the output power [2]. This kind of converters is designed in order to operate in maximum powerranges. This method decreases the costs of the system. Figure 1. An example of hybrid electric energy systemA. Economic Aspect of Hybrid Electric Energy SystemsUsing a hybrid electric energy system can lower the costs of consumed energy; also increase the reliabilityand control of the system. A wind/photovoltaic hybrid energy system can be the best option for isolatedplaces [4]. Sometimes due to high costs of required equipment or administrative costs, supplying the powerfrom main network is more economic [5].B. Application of Hybrid Energy in Power SystemsHere are some main advantages of using hybrid electric energy
. Page 26.170.2All important files created or modified during this project can be found at a stable locationonline4 for users to review at any point in time, and will provide the proper configuration orsource code for the project step in question. Also included is a detailed 145-step guide for thecompletion of all steps in this project, and is more lengthy and explicit than what is covered here. Figure 1: Diagram of Raspberry Pi Model BBeing slightly larger than a credit card and armed with an array of ports for input and output, theRaspberry Pi comes in two models: Revision 1.0 boards (Model A) and Revision 2.0 boards(Model B). Shared features include a Broadcom BCM2835 system on a chip [a 700MHz ARM11family central processing
-dimensionalconstruct of interest, and the parameters aj, bj, and cj, for the jth item. a j ( i b j ) e (1) P ( X ij | i ; a j , b j , c j ) c j (1 c j ) a ( b ) 1 e j i jThe difficulty (or threshold) parameter bj is understood to be “on the same scale” as θ, allowingfor the matching of items and examinees. The discrimination (or slope) parameter aj determinesthe rate of ascent from the lower asymptote to 1. Finally, cj
components: (1) mechanical hardware; (2) electronics hardware; and (3)control software. The integration of these components yields varying levels of manufacturingtool cost, reliability and accuracy.2.1.1 Mechanical HardwareMulti-axis CNC motion can be generated using one of four methods: (1) moving gan-try/stationary bed Figure 2-1 (A & B); (2) moving gantry/moving bed Figure 2-1 (C & D); (3)stationary tool/moving bed Figure 2-2 (E & F); and (4) delta machine Figure 2-2 (G & H). Thecharacteristics and benefits of each are listed in Figure 2-1.The strategy differences in generating linear motion can be neglected in larger commercial CNCmachinery as they have been developed to compensate for loses. For example, a moving bed sys-tem
character, Jack, witnesses a traffic accident at the major intersectionof a town and then invites a player to help him fix the faulty traffic light system with the rightlogic specified in Fig. 1 (b). Rather than rely on dry instructional prompts, the game introduces Page 26.1523.3the player to an artificial intelligence (AI) that guides him/her through the actions necessary torepair the logic circuit. Meantime, the AI presents learning roadmap to the player, one of themetacognitive interventions in the game to show the key milestones and actions that might betaken in the design process as seen in Fig. 2 (a). While the player walks through the map
, the factorial validity of the decision-makingquestionnaire was tested. The researchers predicted that: (a) indicators related to group decision-making processes would load appropriately on three factors (Processing Information,Understanding Decisions, and Processing Alternatives), (b) error terms would be uncorrelated,and (c) no items would cross-load. The factors were permitted to covary based on the hypothesisthat they are related facets that constitute the overall decision process. The hypothesized modelfor the factorial structure of effective group design decision making is in Figure 1. Figure 1. Hypothesized CFA Model for effective design decision making.* An error during creation of the revised survey led to the
2.057 1.530 2.211 1.600 Table 2: Input factor and levels investigated Name Low High Factor A Type Rice Salt Factor B Density Free Tap Factor C Tag Position Front Back Free = Free flow density Tap = Tap density (after vibration) Page 26.1347.7 Table 3. Design matrix for the factor investigation. Std Runs A
://www.abet.org/uploadedFiles/Accreditation/Accreditation_Step_by_Step/Accreditation_Documents/Curre nt/2013_-_2014/eac-criteria-2013-2014.pdf14. Jones, B. D. (2009). Motivating students to engage in learning: The MUSIC model of academic motivation. International Journal of Teaching and Learning in Higher Education, 21(2), 272-285.15. Brogan, D.S., Lohani, V.K., and Dymond, R.L., 2014. Work in Progress: The Platform-Independent Remote Monitoring System (PIRMS) for Situating Users in the Field Virtually. Proc. 2014 ASEE Annual Conference & Exposition. Indianapolis, Indiana.16. McDonald, W.M., Lohani, V.K., Dymond, R.L., Brogan, D.S., Bradner, A., 2014. Integrating a Real-Time Environmental Monitoring Lab into University