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Displaying results 31 - 60 of 215 in total
Collection
2015 Spring ASEE Middle Atlantic Section Conference
Authors
Jessica L. Isaacs; Anthony Bellezza; Vicki Brown
score out of 80 pointswas determined for each team. 5: Excellent, 4: Above average, 3: Average, 2: Below average, 1: Poor Pitch Video/Q&A Content1. Product/concept was clearly conveyed2. Idea(s) were realistic/feasible3. Motivation/need for product was clearly addressed4. Market clearly identified5. Addressed all necessary components in detail6. Well organized with clear introduction of topic/idea, leading up to conflict and resolution with summary of key points/highlights7. Explains what their product/idea does and how it adds value8. Described why their product/idea is unique and different (and/or better)1. Knew material/answers to questions2. Spoke at
Conference Session
First-year Programs Division Technical Session 12: Teaching and Advising Students in that Critical First Year
Collection
2015 ASEE Annual Conference & Exposition
Authors
Shelley Lorimer P.Eng., MacEwan University; Jeffrey A Davis P.Eng., Grant MacEwan University
Tagged Divisions
First-Year Programs
-university test was administered before the start of the program, and the post-testwas administered at the end of the first-year year. The data for Case 2 was collected in2014/2015 where the pre-university test was administered before the start of the program and themid-test was administered midway through first-year.The sample size in both cases was approximately 200 students for the pre-university test, with aslightly reduced group size due to attrition (approximately170) for both the mid and post-testscenarios. A summary of the results for each case is provided in Table 1. The data in Table 1 iscollated in terms of question number (Q), question type (Type), percent correct for the sampleconsidered both pre, mid and post-test, the number of
Conference Session
Practical Teaching in Manufacturing – 2
Collection
2015 ASEE Annual Conference & Exposition
Authors
Shouling He, Vaughn College of Aeronautics & Technology; Hossein Rahemi, Vaughn College of Aeronautics & Technology; Khalid Mouaouya, Vaughn College of Aeronautics & Technology
Tagged Divisions
Manufacturing
*) Q3 AT %QX2.5 : BOOL; (*Lamp 3*) INIT AT %IX0.7 : BOOL; (*Initialisation button*) STEP1 : RS; (*Instance of step 1*) STEP2 : RS; (*Instance of step 2*) STEP3 : RS; (*Instance of step 3*) STEP4 : RS; (*Instance of step 4*) TIMER1: TON; (*Instance of timer 1*) TIMER2: TON; (*Instance of timer 2*) TIMER3: TON; (*Instance of timer 3*) TIMER4: TON; (*Instance of timer 4*) END_VAR (*Step1*) TIMER1(IN := STEP4.Q1, PT := T#3s); STEP1(S := INIT OR STEP4.Q1 AND TIMER1.Q, R1 := STEP2.Q1); (*Step2*) TIMER2(IN := STEP1.Q1, PT := T#3s); STEP2(S := STEP1.Q1 AND TIMER2.Q, R1 := STEP3.Q1 OR INIT); (*Step3*) TIMER3(IN := STEP2.Q1, PT := T#3s
Collection
2015 Spring ASEE Middle Atlantic Section Conference
Authors
William Lorenz; Ross Lee; Karl Schmidt; Pritpal Singh
! ! ! a uf! c t! re U! ! !! ! se & R! !t!! ! ! !e! !! e ir em n t T!r! ! !! e! !! eat m! nt A! ! ! !! i!!!! ! ! c q u is t ion P! ! ! ! ! s!! ! ! roc es! ing &!A! ! e! !b
Conference Session
Communication and Literacy
Collection
2015 ASEE Annual Conference & Exposition
Authors
Chad M Gotch, Washington State University; Quinn Langfitt, Washington State University; Brian F French, Washington State University; Liv Haselbach, Washington State University
Tagged Divisions
Educational Research and Methods
our energy future. Retrieved from http://www.neefusa.org/pdf/roper/Roper2002.pdf13. Bittle, S., Rochkind, J., & Ott, A. (2009). The energy learning curve. Retrieved from http://www.publicagenda.org/media/the-energy-learning-curve14. Southwell, B. G., Murphy, J. J., DeWaters, J. E., & LeBaron, P. A. (2012). Americans' perceived and actual understanding of energy. (RTI Press peer-reviewed publication No. RR-0018-1208). Research Triangle Park, NC: RTI Press. Retrieved from http://www.rti.org/rtipress15. Langfitt, Q., Haselbach, L., & Hougham, R.J. (2014). Artifact-based energy literacy assessment utilizing rubric scoring. Journal of Professional Issues in Engineering Education and Practice. Retrieved from
Conference Session
Data Analysis and Assessment
Collection
2015 ASEE Annual Conference & Exposition
Authors
Cinda Heeren, University of Illinois, Urbana-Champaign; Wade Fagen-Ulmschneider, University of Illinois, Urbana-Champaign
Tagged Divisions
Computers in Education
, together with data from the online forum, grade data, attendance, assignment submissions, and lab exercise scores, we will use the queue data to characterize successful students and their study habits, so we can prescribe behaviors that we believe will result in positive course outcomes.References1 : “NEMO-Q | Line Management Systems”, http://www.nemo-q.com2 : “Appointment Scheduling Software, Scheduling System | Q-nomy”,http://www.qnomy.com/Products/Queue-Management.aspx3 : “STEM Confidence Gap | Piazza Blog”, http://blog.piazza.com/stem-confidence-gap/4 : MacWilliam, Malan. “Scaling Office Hours: Managing Live Q&A in Large Courses.” Journal ofComputing Sciences in Colleges 28.3 (2013): 94-101
Conference Session
Innovations in Communications and Wireless Systems Education
Collection
2015 ASEE Annual Conference & Exposition
Authors
Steven S. Holland, Milwaukee School of Engineering; Robert A. Strangeway, Milwaukee School of Engineering
Tagged Divisions
Electrical and Computer
, polarization 5Half-wave dipole, simple reactive impedance matching, folded dipole 3Dipole equivalent circuit, bandwidth and Q, baluns 3Image theory and monopole antennas, ground effects 1Two-antenna arrays, linear antenna arrays 2Friis equation, practical system link analysis 2Intro to computational electromagnetics, method of moments concept, simulation project 1Examinations/review sessions 2 Table 3. Comparison of
Conference Session
Manufacturing and Machine Component Design
Collection
2015 ASEE Annual Conference & Exposition
Authors
Ali R. Mohammadzadeh, Grand Valley State University; Salim M. Haidar, Grand Valley State University
Tagged Divisions
Mechanical Engineering
Conference Session
Computers in Education Engineering Division Poster Session
Collection
2015 ASEE Annual Conference & Exposition
Authors
John C Nesbit, Simon Fraser University; Li Liu, Simon Fraser University ; Qing Liu, Simon Fraser University; Olusola O Adesope, Washington State University-Pullman
Tagged Topics
Diversity
Tagged Divisions
Computers in Education
) critically evaluating the state of research andrecommending improvements, and (c) identifying neglected topics that require the attention ofresearchers. Our completed systematic review will contribute in each of these three areas.Bibliography1. Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A Page 26.1754.10 meta-analytic survey. Journal of Educational Psychology, 106, 901-918.2. Sabo, K. E., Atkinson, R. K., Barrus, A. L., Joseph, S. S., & Perez, R. S. (2013). Searching for the two sigma advantage: Evaluating algebra intelligent tutors. Computers in
Conference Session
First-year Programs Division Technical Session 3: Diversity and Multicultural Influences in the First Year
Collection
2015 ASEE Annual Conference & Exposition
Authors
Isabel Cristina Jimenez-Useche, School of Engineering Education, Purdue University; Matthew W. Ohland, Purdue University; Stephen R Hoffmann, Purdue University, West Lafayette
Tagged Topics
Diversity
Tagged Divisions
First-Year Programs
- content/uploads/2012/01/EUR-ACE_Framework-Standards_2008-11-0511.pdf.(13) Passow, H. J. J. Eng. Educ. 2012, 101, 95. Page 26.1177.10(14) Brett, J.; Behfar, K.; Kern, M. C. In The Essential Guide to Leadership; Harvard Business Review, 2009; pp. 85–97.(15) Halverson, C. In Effective Multicultural Teams: Theory and Practice; Halverson, C. B.; Tirmizi, S. A., Eds.; Springer, 2008; pp. 81–110.(16) Pelled, L. H.; Eisenhardt, K. M.; Xin, K. R. Adm. Sci. Q. 1999, 44, 1.(17) Watson, W. E. Acad. Manag. J. 1993, 36, 590.(18) Horwitz, S. K. Hum. Resour. Dev. Rev. 2005, 4, 219.(19) Manning, M. L.; Lucking, R. Clear
Collection
2015 Pacific Southwest Section Meeting
Authors
Susan Wainscott; Julie Longo
. C. (1988). Developing a model of the library search process: Cognitive and affective aspects. RQ, 28(2), 232-242.5. Onwuegbuzie, A. J. (1997). Writing a research proposal: The role of library anxiety, statistics anxiety, and composition anxiety. Library & Information Science Research, 19(1), 14.6. Jiao, Q. G., Onwuegbuzie, A. J., & Lichtenstein, A. A. (1996). Library anxiety: Characteristics of “at-risk” college students. Library & Information Science Research, 18(2), 151-163.7. Jiao, Q. G., Onwuegbuzie, A. J., & Lichtenstein, A. A. (1996). Library anxiety: Characteristics of “at-risk” college students. Library & Information Science Research, 18(2), 151-163.8. Daly, J. A. (1978). Writing
Conference Session
Simulation
Collection
2015 ASEE Annual Conference & Exposition
Authors
Camilo Vieira, Purdue University; Alejandra J. Magana, Purdue University, West Lafayette; Anindya Roy, Johns Hopkins University; Michael L. Falk, Johns Hopkins University; Michael J. Reese Jr., Johns Hopkins University
Tagged Divisions
Computers in Education
, w2, T) 4. A function that plots a phase diagram (35 points) function PhaseDiagram(HA1, SA1, HB1, SB1, w1, HA2, SA2, HB2, SB2, w2, Tmin, Tmax)Project 2: Modeling HIV Response to Immune TherapyYour assignment is to write a computer program that will model the progress of the HIV infection in a patient that isbeing treated with a drug of a given effectiveness, Q. The HIV infected patient is assumed to start with a T-cellcount of T(0)=1, this being a healthy level, and having no infected T-cells, I(0)=0. We assume that infection occursat day 0 a viral load of V(0)=0.01. We will assume that if a drug is administered, therapy starts on the day ofinfection. In the model, if the HIV infected patient’s T-cell count, including
Conference Session
Multidisiplinary Student Research Experiences
Collection
2015 ASEE Annual Conference & Exposition
Authors
Martin Fevre, Elizabethtown College; Tomas Estrada, Elizabethtown College
Tagged Topics
Diversity
Tagged Divisions
Multidisciplinary Engineering
both mean value and standarddeviation, to return a numerical track quality indicator, which will inform the user whether or notthe given case of operation if feasible. In order to numerically determine the track quality, Q, anequation that effectively ranks each situation was elaborated.Additionally, serious wear marks were noticed on the Elizabethtown College outdoor athletictrack, which makes it one of the most difficult cases to achieve (Table 3). On the other hand,readings were collected from the new outdoor athletic track at Alvernia University (Reading,PA), to quantitatively rank more than one typical quality of outdoor tracks. It was found that theanalyses of these readings were much more conclusive, making it a far easier case. However
Conference Session
Computer Science, Computer Engineering, and Digital Systems Education 1
Collection
2015 ASEE Annual Conference & Exposition
Authors
Mehran Mozaffari Kermani, Rochester Institute of Technology (COE); Reza Azarderakhsh, Rochester Institute of technology
Tagged Topics
Diversity
Tagged Divisions
Electrical and Computer
(ECDH), digital signature algorithm (ECDSA), and integrated encryptionscheme (ECIES) are placed. In all of these security protocols which are standardized by severalnational and international organizations, the main computation is point multiplication. Theelliptic curve point multiplication is defined as Q = k.P, where k is a positive integer, and Q andP are two points on the elliptic curve. The efficiency of computing point multiplication dependson finding the minimum number of steps to reach Q from a given point P.Some of the educational goals in this step were (a) understanding the implementation platforms(commonly referred to as hardware [ASIC/FPGA] or software platforms [microcontrollers])through which the overheads were derived, (b) soft
Conference Session
Communication in the Chemical Engineering Curriculum
Collection
2015 ASEE Annual Conference & Exposition
Authors
Kenneth P. Mineart, North Carolina State University; Matthew Cooper, North Carolina State University
Tagged Divisions
Chemical Engineering
followingquestions on an end of the course evaluation form:  This semester videos of your presentations were made available to each student group, and you were asked to provide feedback on your individual performance as well as your Page 26.927.6 teammates’ performance. Do you feel this experience helped you improve your presentation skills?  Is it worth it for [the instructor] to continue recording student group presentations and providing videos to groups for their evaluation in the future?  Which presentation feedback method did you find most helpful – evaluation of your own presentation/Q&
Conference Session
First Year Programs Division Poster Session: The Best Place to Really Talk about First-Year Education
Collection
2015 ASEE Annual Conference & Exposition
Authors
Quamrul H. Mazumder, University of Michigan, Flint; Ulan Dakeev, University of Michigan, Flint
Tagged Divisions
First-Year Programs
), 1541–1547.[5] Mazumder, Q. H., Karim, R. M. (2012). Comparative Analysis of Learning Styles of Students of USA and Bangladesh, Paper no: AC2012-5075, 119th ASEE Annual Conference, June 10-13, 2012, San Antonio, TX, USA[6] Sadi, O. & Uyar, M. (2013). The relationship between cognitive self-regulated learning strategies and biology achievement: A path model. Procedia-Social and Behavioral Sciences; 93 (2013), 847-852.[7] Crede, M., & Philips, A. L. (2011). A meta-analytic review of the motivated strategies for learning questionnaire. Learning and Individual Differences; 21 (2011), 337-346.[8] Puteha, M., &, Ibrahimb, M. (2010). The usage of self-regulated learning strategies among form four students in
Conference Session
Student Motivation and Faculty Development
Collection
2015 ASEE Annual Conference & Exposition
Authors
Ulan Dakeev, University of Michigan, Flint; Quamrul H. Mazumder, University of Michigan, Flint; Faruk Yildiz, Sam Houston State University; Kenan Baltaci, University of Wisconsin, Stout; Bedelbai Mamadiev, International Ataturk-Alatoo University
Tagged Topics
Diversity
Tagged Divisions
Educational Research and Methods
support during the research process. Additionally,authors would like to thank University of Michigan - Flint institutional review board, faculty and staff fororganizing necessary field trips and to various locations related to current study and equipment support. References[1] Savoji, A. P. (2013). Motivational strategies and academic achievements in traditional and virtual university students. Procedia-Social and Behavioral Sciences; 84 (2013), 1015-1020[2] Mazumder, Q. H. and Ahmed, K. (2014). “A Comparative Study of Motivation and Learning Strategies Between Public and Private University Students of Bangladesh” Proceedings of the 2014 ASEE North Central Section Conference
Conference Session
K-12 & Pre- College Engineering Division Poster Session
Collection
2015 ASEE Annual Conference & Exposition
Authors
Barbara M. Moskal, Colorado School of Mines; Joe Saboe, Denver Public Schools
Tagged Topics
Diversity
Tagged Divisions
K-12 & Pre-College Engineering
., Skokan, C., Kosbar, L., Dean, A., Westland, C., Barker, H., Nguyen, Q. & Tafoya, J. (2007). “K-12 outreach: Identifying the broader impacts of four outreach projects.” Journal of Engineering Education, 96 (2), 173-189.14. Tafoya, J., Nguyen, Q., Skokan, C. & Moskal, B. (2005). “K-12 outreach in an engineering intensive university.” Paper in the Proceedings of the annual meeting of the American Society for Engineering Education, Portland, Oregon (11 pages). REPRINT: Proceedings of 4th ASEE/AaeE Global Colloquium on Engineering Education, Sydney, Australia, September, 2005.15. Moskal, B., Skokan, C. & Duffield, J. (2004). "GK-12 learning partnership: An outreach program in engineering education.” Paper in the
Collection
2015 ASEE Zone 3 Conference
Authors
Francisco Lourenco; Nian Zhang; Sasan Haghani
(FSKD), 3, 2010, 1324 - 1327.[12] P. Bai, X. Song, J. Wang, W. Shi, Q. Wang, A Hillslope Infiltration and Runoff Prediction Model of Neural Networks Optimized by Genetic Algorithm, 2010 International Conference on Mechanic Automation and Control Engineering (MACE), 2010, 1256 – 1259.[13] J. Liu, B. Wang, Parameters Selection for SVR Based on the SCEM-UA Algorithm and its Application on Monthly Runoff Prediction, 2007 International Conference on Computational Intelligence and Security, 2007, 48 - 51.[14] W. Guo, H. Wang, J. Xu, Y. Zhang, BF Neural Network Model Based on Improved PSO for Predicting River Runoff, 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA), 2, 2010, 968 – 971.[15] H
Conference Session
Mathematics Division Technical Session 4
Collection
2015 ASEE Annual Conference & Exposition
Authors
Peter Goldsmith P.Eng., University of Calgary
Tagged Divisions
Mathematics
rules for the addition, composition, and inversion of rational relations will now bestated and proved. The following theorem extends that given in 8 by adding a rule for the equalityof two rational relations. Also, the proof presented here uses relational identities.Theorem 10.2 The set of rational relations (Q, +, ·) is a subseminearring of L(C∞ ). For alla1 , a2 ∈ B, and all b1 , b2 , g ∈ B\{0}, a1 ga2 a1 a2 coprime(b1 , a2 ) ⇒ = , (43) b1 g b2 b1 b2 a1 a2 a1 b2 + a2 b1 coprime(b1 , b2
Conference Session
First Year Programs Division Poster Session: The Best Place to Really Talk about First-Year Education
Collection
2015 ASEE Annual Conference & Exposition
Authors
Mary E. Goodwin, University of South Florida; John Pharo Morgan III, University of South Florida; Yan Wang, University of South Florida; Michelle King, University of South Florida College of Engineering; Blake A Burton, University of South Florida
Tagged Topics
Diversity
Tagged Divisions
First-Year Programs
Conference Session
First-Year Programs Division Technical Session 1: It's All About Teams and Teamwork
Collection
2015 ASEE Annual Conference & Exposition
Authors
Fernando Garcia Gonzalez, Florida Gulf Coast University; Janusz Zalewski, Florida Gulf Coast University
Tagged Topics
Diversity
Tagged Divisions
First-Year Programs
evaluated by the authors. Session 1 Session 2 Presentation Q&A Presentation Q&A 0.4286 0.9333 0.7241 0.5926 no input 4 8 10 12 -1 8 0 2 0 0 4 2 4 11 1 23 29 23 16 Observation: 1. The value of 0.4286 indicates the results could have been better but was still a worthwhile effort. Recall the value could go negative. Note there 23 out of 39 students indicated the
Conference Session
Circuits and Systems Education 2
Collection
2015 ASEE Annual Conference & Exposition
Authors
Brian J Skromme, Arizona State University; Dan Robinson
Tagged Divisions
Electrical and Computer
physics reasoning: A commitment to substance-based conceptions,” Cognition and Instruction 18, 1 (2000).12 P. V. Engelhardt, “Examining students' understanding of electrical circuits through multiple-choice testing andinterviews,“ Ph.D. Thesis, North Carolina State University, 1997. Page 26.158.1413 C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated problem and solution generation software forcomputer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2012
Conference Session
Ocean and Marine Division Technical Session 1
Collection
2015 ASEE Annual Conference & Exposition
Authors
William M. Simpson Jr., U.S. Coast Guard Academy; Raymond S. McCord, Massachusetts Institute of Technology
Tagged Divisions
Ocean and Marine
) Determine M W,Hog [MT-m] from Eqn 3.5.1.a. Determine total bending moment, MT,Hog = M W,Hog + M SW. (G) Determine M W, horiz [MT-m] from Eqn 3.5.3. (H) Determine wave vertical Shear, Q W,V from Eqn 3.5.5. [MT] Determine total vertical shear Q T,W = Q W,V + QSW. [MT] (I) Determine minimum value of the section modulus = Z min [m3] from Eqn 3.6.3. Compare the value with the minimum (deck or keel) section modulus for the barge.Part II: POSSE CalculationsModel the barge in POSSE geometrically and structurally using Reference (2) as a guide. Input the fullload condition and determine shear, bending moment and stress for still water, hogging and saggingconditions (SW, S, H). All answers are to be in the
Conference Session
Identity and Engineering: ERM Roundtable
Collection
2015 ASEE Annual Conference & Exposition
Authors
Allison Godwin, Purdue University, West Lafayette; Gerhard Sonnert, Science Education Department, Harvard-Smithsonian Center for Astrophysics; Philip Michael Sadler, Harvard Smithsonian Center for Astrophysics
Tagged Topics
Diversity
Tagged Divisions
Educational Research and Methods
. Page 26.1552.1210. Oyserman, D.; Destin, M.; Novin, S. Self Identity 2014, 1–16.11. Fugate, M.; Kinicki, A. J.; Ashforth, B. E. J. Vocat. Behav. 2004, 65, 14–38.12. Ibarra, H. Adm. Sci. Q. 1999, 44, 764–791.13. Ibarra, H. Identity transitions: possible selves, liminality and the dynamics of career change; 2005.14. Kerpelman, J. L.; Pittman, J. F. J. Adolesc. 2001, 24, 491–512.15. Godwin, A.; Potvin, G. Int. J. Eng. Educ. (In Press. 2015.16. Pizzolato, J. E. Cultur. Divers. Ethnic Minor. Psychol. 2006, 12, 57–69.17. Committee on K-12 Engineering Education. Engineering in K-12 education: Understanding the Status and Improving the Prospects; Katehi, L.; Pearson, G.; Feder, M. A., Eds.; The National Academies Press
Conference Session
NSF Grantees’ Poster Session
Collection
2015 ASEE Annual Conference & Exposition
Authors
Brian J Skromme, Arizona State University; Paul Rayes, Arizona State University; Brian McNamara, Arizona State University; Xiaoxuan Wang, Arizona State University; Yih-Fang Huang, University of Notre Dame; Daniel H. Robinson, Colorado State University; Xiang Gao, Arizona State University; Theodore Thompson
Tagged Topics
NSF Grantees Poster Session
providing thetextbook copies used in our laboratory experiment and for his support of the project.References1 C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated problem and solution generation software forcomputer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2012), p.Paper 4437.2 B. J. Skromme, C. D. Whitlatch, Q. Wang, P. M. Rayes, A. Barrus, J. M. Quick, R. K. Atkinson, and T. Frank,“Teaching linear circuit analysis techniques with computers,” in Proceedings of the 2013 American Society for
Conference Session
Entrepreneurship & Engineering Innovation Division – Epicenter Session
Collection
2015 ASEE Annual Conference & Exposition
Authors
Sheri Sheppard, Stanford University; Shannon Gilmartin, Stanford University; Helen L. Chen, Stanford University; Mary E. Besterfield-Sacre, University of Pittsburgh; Nathalie Duval-Couetil, Purdue University, West Lafayette; Angela Shartrand, VentureWell; Laurie Moore, National Center for Engineering Pathways to Innovation (Epicenter); Emanuel Costache, SageFox Consulting Group; Andreea Mihaela Fintoc; Qu Jin, Stanford University; Calvin Ling, Stanford University; Florian Michael Lintl, Stanford University; Leticia C. Britos Cavagnaro, Stanford University; Humera Fasihuddin, VentureWell; Anna K Breed
Tagged Topics
Diversity
Tagged Divisions
Entrepreneurship & Engineering Innovation
the Summitagenda in Appendix A). Because group input was a key objective, almost half of each panelsession was devoted to Q&A with the audience. Detailed session notes capture theconversations for these and all sessions at the Summit.6Table 1. Research-Based Panel Sessions at the Epicenter Research SummitSession Title Central Questions for PanelistsResearch on Students’ How can we learn about students’ entrepreneurialEntrepreneurial Development development through an interactive lens, i.e., the interplayand Pathways between individual characteristics and contexts? How diverse are students’ entrepreneurial pathways? What are the implications for
Conference Session
Circuits and Systems Education 2
Collection
2015 ASEE Annual Conference & Exposition
Authors
Ilan Gravé, Elizabethtown College; Tomas Estrada, Elizabethtown College
Tagged Divisions
Electrical and Computer
the inconsistent results for theresonant frequency and Q-factor measurements with respect to theoretical predictions, as somehidden circuit features are not considered at first. The “trick and think” approach describedabove in this contribution addresses measurements in the time domain, where perhaps thedisparity between underdamped and overdamped response offers a more dramatic and immediatevisual effect. Page 26.136.8References[1] “Confidence-Building in a Circuits Course,” by Ilan Gravé, in Proceedings of the ASEE 2005 Conference inPortland, OR, June 2005.[2] “Study of the phase relationships in resonant R C L circuits using a dual-trace
Conference Session
Fundamental: Home, Parents, and Other Out-of-School Issues Related to K-12 and Pre-college Engineering Education
Collection
2015 ASEE Annual Conference & Exposition
Authors
Brianna L Dorie, Purdue University, West Lafayette; Monica E Cardella, Purdue University, West Lafayette
Tagged Divisions
K-12 & Pre-College Engineering
’ occupational aspirations. Perceptual and Motor Skills, 81: 701-702. 9. NAE (National Academy of Engineering), (2008). Changing the conversation: Messages for improving public understanding of engineering. Washington, D.C.: The National Academies Press. 10. Wixson, Karen K. (1984) Vocabulary Instruction and Children's Comprehension of Basal Stories. Paper presented at the National Reading Conference, St. Petersburg, FL. 11. Schwartz, R.M., & Raphael, T.E., (1985). Concept of Definition: A Key to Improving Students' Vocabulary. The Reading Teacher, 39(2): 198-205. 12. Patton, M. Q. (2001). Qualitative Research & Evaluation Methods (3rd ed.). SAGE Publications, Inc. 13. Sacks, H
Conference Session
ECCD Applications
Collection
2015 ASEE Annual Conference & Exposition
Authors
Ulan Dakeev, University of Michigan, Flint; Quamrul H. Mazumder, University of Michigan, Flint; Faruk Yildiz, Sam Houston State University; Kenan Baltaci, University of Wisconsin, Stout
Tagged Divisions
Energy Conversion and Conservation
Efficient Management of Wind Power Generation with the Application of Wind Tunnel Attachment on a Wind Turbine”. ATMAE Annual Conference, Cleveland, USA5. Dakeev, U., & Mazumder, Q., (2014). “Analysis of Wind Power Generation with Application of Wind Tunnel Attachment”, ASEE 2014-8501, 121st ASEE Annual Conference, June 13-15, 2014, Page 26.447.7 Indianapolis, USA6. Dakeev, U., Lam, C., Pung, J. (2015). “Analysis of Wind Power Generation with Wind Guide Attachment”. International Journal of Engineering Research and Innovation, 067J.7. NREL, (2015). National Renewable Energy Laboratory. www.nrel.org8. Toshio M., Shinya T. & Seeichi