Conference Session

Green and Sustainable Manufacturing Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Tzu-Liang Bill Tseng, University of Texas, El Paso; Richard Chiou, Drexel University; Radian G. Belu, University of Alaska Anchorage; Oscar H. Salcedo, University of Texas, El Paso; Aditya Akundi, University of Texas, El Paso; Eric D. Smith, University of Texas, El Paso

Tagged Divisions

Manufacturing

Paper ID #13879Enhancement of Green Energy Manufacturing Engineering Education throughProject Based Learning and Leadership WorkshopsProf. Tzu-Liang Bill Tseng, University of Texas, El Paso Dr. Tseng is a Professor and Chair of Industrial, Manufacturing and Systems Engineering at UTEP. His research focuses on the computational intelligence, data mining, bio- informatics and advanced manu- facturing. Dr. Tseng published in many refereed journals such as IEEE Transactions, IIE Transaction, Journal of Manufacturing Systems and others. He has been serving as a principle investigator of many research projects, funded by NSF

Collection

2015 Northeast Section Meeting

Authors

Prerana Pal Karmokar; Shwetha Krishna Pondicherry; Elif Kongar

, Time/Cost Calculation, Full Critical Path Coverage,Resource management, Document Management, Multiple and concurrent User Accessibility,Invoicing/Procurement, Disaster Recovery/Backup are selected as the influential criteria (Table2). Once the evaluation criteria have been finalized, the criteria set is embedded into a preferencematrix. The AHP algorithm than performs a pair comparison where the strength/preference ofeach attribute would be compared against each criterion by assigning a preference/importancevalue according to the provided rating scale. Table 2: Preference codes for pair comparison Preference # Preference of A over B Definition 1 None

Conference Session

Various Prospectives in Power Systems

Collection

2015 ASEE Annual Conference & Exposition

Authors

Thomas Richard Walsh, Eastern Washington University

Tagged Divisions

Engineering Technology

, the student will enter data into the “ReceiverSpecs” group box. These include the receiving-end voltage, power factor and activepower absorbed by receiving-end. Typical values for these are Er_LL equal to 220 kV,power factor of 0.9 lagging and active power absorbed of 40 [MW]The student clicks on the “Calculate Medium Model” button and subsequent values arecomputed for the sending-end, transmission line and receiving-end just like for the smalltransmission line model. One difference is that here, the A, B, C, D parameters arecomputed. Note that the transmission line absorbs 1.168 [MW] of active power, 4.26[MVars] of reactive power and there is a voltage drop from the sending-end to thereceiving end of 225 [kV] to 220 [kV] at the receiving end

Conference Session

Emerging Computing and Information Technologies II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jessica Richards, BYU; Joseph J Ekstrom, Brigham Young University

Tagged Divisions

Computing & Information Technology

Paper ID #14106Automated Identification of Terminological Dissonance in IT and adjacentfieldsMs. Jessica Richards, BYU Graduate student in Information Technology with a background of interdisciplinary work between com- puting and media fields. Highly interested in streamlining the collaborating of technical and creative minds.Joseph J Ekstrom, Brigham Young University Dr. Ekstrom spent more than 30 years in industry as a software developer, technical manager, and en- trepreneur. In 2001 he helped initiate the IT program at BYU. He was the Program Chair of the Informa- tion Technology program from 2007-2013. His research

Conference Session

Emerging Computing and Information Technologies II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Candido Cabo, New York City College of Technology/City University of New York

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

26.1295.5adequate performance (equivalent to a passing grade or C).Figure 1. Average sttudent perforrmance (0-10) in seven ttypes of proggramming coonceptassessmeents (first two categories in Bloom’s taxonomy). n = 62. Dasshed horizonntal line markks alevel of acceptable a peerformance.Figure 2. 2 Percent of students perrforming adeequately (>= = 7 which is equivalent too a passing Page 26.1295.6grade, 70 0% or C) in the t seven diffferent progrramming connceptual cateegories.Average values can be b distorted byb very good d performannce of some

Conference Session

Fundamental: K-12 Students and Engineering Design Practices (Part 2)

Collection

2015 ASEE Annual Conference & Exposition

Authors

Amber L. M. Kendall, Tufts University Center for Engineering Education and Outreach

Tagged Divisions

K-12 & Pre-College Engineering

. a. What can you tell me about these bridges? b. What is good about this bridge? What is good about the other bridge? c. What is bad about this bridge? What is bad about the other bridge? 3. Which bridge do you think is the best bridge? Why do you think it is the best? 4. Ok, so this bridge isn't the best bridge. Can you think of how you would redesign it to make it better? Here are some LEGO bricks, and a Billy Goat, and two chairs.Figure 4. Kindergarten Interview ProtocolWhen asked to recall the specifications of the original bridge-building challenge, 2/3 of thegroups listed length, and 2/3 listed strength/sturdiness, which were explicitly stated in thechallenge. However, students also recalled some emergent

Conference Session

Topics in Computing and Information Technologies II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Richard G. Helps, Brigham Young University

Tagged Divisions

Computing & Information Technology

platforms for teaching some IT concepts are strong.Trends in IT towards much more diverse computing platforms that are integrated into the realworld indicate that IT students should pay more attention to hardware systems.Hardware adds a significant dimension to the learning experience of IT students. Commonlyavailable systems provide the necessary elements for introducing hardware into IT courses. Thebenefits to students are clear. The framework we have developed leading to the use of widelystandardized systems has been demonstrated to be effective in multiple classes and will becontinued and extended.Bibliography1. B. M. Lunt, J. J. Ekstrom, S. Gorka, G. Hislop, R. Kamali, E. A. Lawson, R. LeBlanc, J. Miller, H. Reichgelt, and T. A. for C. M

Conference Session

Multidisciplinary Course Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jacquelyn Kay Nagel, James Madison University

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

Using Evidence-Based Principles, in The Oxford Handbook of Evidence-Based Management, D.M. Rousseau, Editor, Oxford University Press: New York.10. Crawford, V., Brophy, S.P. (2006) Adaptive expertise: Theory, methods, findings, and emerging issues. Symposium Report.11. Bransford, J.D. and Schwartz, D.L. (1999) Rethinking transfer: A simple proposal with multiple implications. Review of Research in Education. 24: pp. 61-100.12. Sterian, A., Adamczyk, B., & Rahman, A. (2008). A Project-Based Approach to Teaching Introductory Circuit Analysis. 38th ASEE/IEEE Frontiers in Education Conference, pp. 1-6.13. S.M. Batill, S.M. (2000) Teaching Engineering Decision Making Using a Multidisciplinary Design Paradigm

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Matthew W. Ohland, Purdue University; Misty L. Loughry, Georgia Southern University; Richard . Layton, Rose-Hulman Institute of Technology; David Jonathan Woehr, University of North Carolina Charlotte; Daniel Michael Ferguson, Purdue University, West Lafayette

Tagged Topics

NSF Grantees Poster Session

was supported in part by NSF award 1431694, Optimizing Student Team SkillDevelopment using Evidence-Based Strategies.References1 Brutus, S., & Donia, M. B. (2010). Improving the effectiveness of students in groups with a centralized peer evaluation system. Academy of Management Learning & Education, 9, 652-662.2 Mayo, M., Kakarika, M. Pastor, J.C., & Brutus, S. (2012). Aligning or inflating your Leadership self-image? A longitudinal study of responses to peer feedback in MBA teams. Academy of Management Learning & Education, 11, 631-652.3 Brutus, S., & Donia, M. B., & Ronen, S. (2013). Can business students learn to evaluate better? Evidence from repeated exposure to a peer

Conference Session

Various Prospectives in Power Systems

Collection

2015 ASEE Annual Conference & Exposition

Authors

Yeong Ryu, State University of New York, Farmingdale; Hazem Tawfik, State University of New York, Farmingdale; Brandon Scott Weisberg, Farmingdale State College; Gonca Altuger-Genc, State University of New York, Farmingdale

Tagged Divisions

Engineering Technology

procedure of the separation of two phase flow is to create the two phases so thatthey can be separated by physical means. As the two phase flow leaves the module, as depictedin Figure B, the gas is in a mixture with a considerable portion of water vapor. The steam-syngasmixture must be separated later in the process but can only be done so in the form of a two phaseflow. The synthesis gas would remain a gas and the steam would need to be changed into liquidwater. This change is necessary because the method of separation depends upon relativedensities.The two phase flow is created by condensing the water vapor into liquid water. Thiscondensation is necessary as the temperature of the synthesis gas/ steam mixture exiting theSteam Generator module is

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Matthew W. Ohland, Purdue University; Misty L. Loughry, Georgia Southern University; David Jonathan Woehr; Richard . Layton, Rose-Hulman Institute of Technology; Daniel Michael Ferguson, Purdue University, West Lafayette

Tagged Topics

NSF Grantees Poster Session

Evidence-Based Strategies.References1 Brutus, S., & Donia, M. B. (2010). Improving the effectiveness of students in groups with a centralized peer evaluation system. Academy of Management Learning & Education, 9, 652-662.2 Mayo, M., Kakarika, M. Pastor, J.C., & Brutus, S. (2012). Aligning or inflating your Leadership self-image? A longitudinal study of responses to peer feedback in MBA teams. Academy of Management Learning & Education, 11, 631-652.3 Brutus, S., & Donia, M. B., & Ronen, S. (2013). Can business students learn to evaluate better? Evidence from repeated exposure to a peer evaluation system. Academy of Management Learning & Education, 12, 18-31.4 Ohland, M. W

Conference Session

Research to Practice: STRAND 4 – K-12 Engineering Resources: Best Practices in Curriculum Design (Part 1)

Collection

2015 ASEE Annual Conference & Exposition

Authors

Kristin M Brevik, North Dakota State College of Science; Kristi Jean, North Dakota State College of Science; Frank M. Bowman, University of North Dakota; Bradley Bowen, North Dakota State University

Tagged Divisions

K-12 & Pre-College Engineering

College of Science. She holds a Ph.D. from Georgia Institute of Technology, M.S. from Lehigh University and a B.S. from the University of North Dakota, all in Chemical Engineering. She serves as a female role model in K-12 STEM outreach and is trained in project design that incorporates scaling, sustaining and behavior influence strategies.Dr. Frank M. Bowman, University of North Dakota Dr. Frank Bowman is Associate Professor, Tom Owens Fellow, and Associate Chair in the Department of Chemical Engineering at the University of North Dakota. He holds a Ph.D. from the California Institute of Technology and a B.S from Brigham Young University, both in Chemical Engineering. His research interests include atmospheric

Conference Session

Women in Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Tanya Stanko P.E., Innopolis University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

 high-­‐school  level10.      B. Overview of current studyThe study is focused on the follow-up survey of high-school girls who took extra classesin programming and programming related subjects. A large private Russian companyUnium, specializing in extracurricular pre-university education has provided us with thedata, which have been collected over 8 years. We identified the girls, who took classes inprogramming in addition to their school program and followed up with them toinvestigate whether they entered university for IT specialty and/or work in IT at the Page 26.1738.4moment. Those women who

Conference Session

Engineering Laboratory Experiences

Collection

2015 ASEE Annual Conference & Exposition

Authors

André J. Butler, Mercer University; William Moses, Mercer University; Stephen Hill, Mercer University

Tagged Divisions

Mechanical Engineering

materials testing system to plot the stress-strain diagram using displacement data and determine elastic modulus, tensile and yield strengths, and ductility.Indications from assessmentStudent reports completed in both labs are the sole basis used to assess whether ABET Outcome(b) has been achieved for the Mechanical Specialization at Mercer. Formal assessment isconducted by a team of three faculty members, each of whom separately evaluates each of fourtasks per laboratory group:(i) Design of experiment(ii) Conduct of experiment(iii) Analysis of data(iv) Interpretation of dataEach task listed above is associated with five sub-tasks, and each report is given a “point” foreach sub-task that is deemed to have been accomplished. If

Conference Session

Design in Engineering Education Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Michael Delorme, Stevens Institute of Technology (SES)

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

Systems Engineering Issues In US Defense Industry, National Defense Industrial Association Systems Engineering Division Task Group Report, Arlington, VA: Author. Retrieved January 29, 2015 from http://www.ndia.org/Divisions/Divisions/SystemsEngineering/Documents/Studies 2. McGrath, B.; Lowes, S.; Squires, A.; Jurado,C. (2011, June 26-29) SE Capstone: A Pilot Study of 14 Universities to Explore SE Learning and Career Interest through DoD Problems. Presented at ASEE Annual Conference and Exposition, Vancouver, Canada. 3. Ardis, M.; Carmen, C.L.;DeLorme, M.;Hole, E. (2014, June 15-18) Using a Marketplace to Form Multidisciplinary Systems Engineering Capstone Project Teams. Presented at ASEE Annual

Conference Session

Multidisciplinary Course Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jodi Reeves, National University; Brian Arnold, National University

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

://www.usnews.com/education/online-education/articles/2013/01/08/online-course-enrollment-climbs-for-10th-straight-year[2] Trowler, V. (2010) Student engagement literature review, Lancaster University Department of EducationalResearch.[3] Ohland, M. W., Sheppard, S. D., Lichtenstein, G., Eris, O., Chachra, D., & Layton, R. A. (2008). Persistence,engagement, and migration in engineering programs. Journal of Engineering Education, 97(3), 259-278.[4] Mendez, G., Buskirk, T. D., Lohr, S., & Haag, S. (2008). Factors associated with persistence in science andengineering majors: An exploratory study using classification trees and random forests. Journal of EngineeringEducation, 97(1), 57-70.[5] French, B. F., Immekus, J. C., & Oakes, W. C. (2005). An

Conference Session

Civil Engineering Division Technical Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Alan Chong, University of Toronto

Tagged Divisions

Civil Engineering

system.3. Students were asked to identify (A) the song title and, importantly, (B) the artist, and announce their answer as soon as they had a guess.4. The winner - first to identify both elements - was awarded a small prize (such as a chocolate bar).At the beginning of the year, we started the first class by playing Miley Cyrus’s Wrecking Ball, asong that reached the #1 position in Billboard’s Top 100 list shortly after its premiere, andstayed on the charts for more than 16 weeks. Because the song was so ubiquitous at the time,almost all of the students were familiar with it. To start, though, we made no reference to thegame itself, instead using Wrecking Ball as the prototypical example of a civil engineeringthemed song after the fact

Collection

2015 Pacific Southwest Section Meeting

Authors

Rita Melgar; Anthony Nash; Mou Sun; Carmen Tepeu Yoc; Maral Amir; Cheng Chen; Amelito G. Enriquez; Hao Jiang; Hamid Mahmoodi; Wenshen Pong; Hamid Shanasser; Kwok-Siong Teh; Xiaorong Zhang

arrays are size 400x400 (refer to Figure 5a and Figure 5b). Proceedings of the 2015 American Society for Engineering Education Pacific Southwest Conference Copyright © 2015, American Society for Engineering Education 122 Figure 4. Gabor Filter Algorithm (b) (a)Proceedings of the 2015 American Society for Engineering Education Pacific Southwest Conference Copyright © 2015, American Society for Engineering Education

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

not have a standard deviation, and therefore it was not possibleto identify a correlation for those items in the individual projects. Hence, these cells are markedwith ‘N/A’ in the correlation tables.In the correlational analysis of individual projects (Appendix B), there are similar patterns ofcorrelations for projects 1, 3, and 5, while project 2 and 4 behave more like each other. The maindifference between these two groups of projects is the strong correlation found between problemframing and problem synthesis for the first group of projects (r > 0.6). For the latter group ofprojects (i.e., projects 2 and 4), this coefficient depicts a weak correlation (r < 0.2). Note that theproblem framing phase includes programming skills

Conference Session

Capstone Design

Collection

2015 ASEE Annual Conference & Exposition

Authors

Ding Yuan, Colorado State University, Pueblo; Jane M. Fraser, Colorado State University, Pueblo; Ananda Mani Paudel, Colorado State University, Pueblo

Tagged Divisions

Design in Engineering Education

-related projects. Such an observation was coherent with the findings by other educators11.It became critical to broaden their views of sustainability and sustainable engineering designfirst.Pawley et al. proposed to use six factors to evaluate an engineering project at the early stage12.These six factors were systems, time, energy, modeling, people and scale. They could be usedseparately, or in pairs to assess the sustainability related opportunities/concerns in a project. So, a6x6 table could be formed (see Table 1 attached as Appendix B) and an engineering design ideashould be questioned with respect to the factors labeled in the corresponding row and column12.It would be ideal to fill in all cells (except the shaded ones) with some questions

Conference Session

Aerospace Division Technical Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Elizabeth Scott Fleming, Georgia Institute of Technology; Amy Pritchett, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Aerospace

). Engineering design: a systematic approach (3rd ed.; K. Wallace & L. Blessing, Eds.). London: Springer. Retrieved from http://link.springer.com/content/pdf/10.1007/3-540- 31629-9_1.pdf doi: 978-1-84628-319-23. Daly, J. R., Augustine, N. R., Davis, J. B., Covert, E. E., & Gray, G. J. (2001). Report to the Panel of to Review the V-22 Program (Tech. Rep.). Arlington, VA: Department of Defense.4. Griffin, J. M. (2005). C-5 Galaxy Systems Engineering Case Study (Tech. Rep. No. September). Wright- Patterson AFB, OH: Air Force Center for System Engineering at the Air Force Institute of Technology.5. Richey, G. K. (2005). F-111 Systems Engineering Case Study (Tech. Rep. No. March). Wright-Patterson AFB, OH: Center for Systems

Conference Session

First-year Programs Division Technical Session 2: Design in the First Year: Challenges and Successes

Collection

2015 ASEE Annual Conference & Exposition

Authors

DeLean Tolbert, Engineering Education, Purdue University; Monica E Cardella, Purdue University, West Lafayette

Tagged Divisions

First-Year Programs

thinking activities? 3. How do students’ thinking processes differ based on mathematics, design and engineering backgrounds?This paper specifically presents the findings and discussion in order to investigate the firstresearch question by providing evidence for the diverse ways that students respond to open-ended, ambiguous design tasks. Three objectives guided analysis of the data and will providethe over-arching structure of the findings section: (a) How do students use their first hour of problem solving in this design task? (b) How do students score their design and mathematical thinking abilities? (c) What are their pre-college mathematical and design experiences?Research MethodsContextAt a

Conference Session

International Division Technical Session 7

Collection

2015 ASEE Annual Conference & Exposition

Authors

Bhavna Hariharan, Stanford University; Sneha Ayyagari, Stanford University

Tagged Topics

Diversity

Tagged Divisions

International

India, and all of thestudents of the Global Engineers’ Education course for their support in conducting thisresearch. The authors extend a special thank you to Professor Sheri Sheppard and Dr.Syed Shariq who helped clarify and name global preparedness efficacy. Page 26.1294.11References:[1] Shuman, L. J., Besterfield-­‐‑Sacre, M., & McGourty, J. (2005). The ABET“professional skills”—can they be taught? Can they be assessed?. Journal of EngineeringEducation, 94(1), 41-55.[2] G Downey, K Beddoes. What is Global Engineering Education For? The Making ofInternational Educators – Parts I and II. Morgan and Claypool, 2011[3] B Oberst, R Jones

Collection

2015 Pacific Southwest Section Meeting

Authors

Pradip Peter Dey; Gordon W. Romney; Amir Rezaei; Amelito G. Enriquez; Bhaskar Raj Sinha; Mohammad Amin

://www.asee.org/papers-and-publications/papers/section-proceedings/pacific-southwest/ASEE-PSW-2009- Proceedings.pdf4. Wallis, C. (2008, February 25). How to Make Great Teachers. Time, 31 (28–34). Retrieved on September 25, 2011, from http://www.time.com/time/magazine/article/0,9171,1713473,00.html5. Dey, P. P., Romney, G., Amin, M., Sinha, B. , Gonzales, R., & Subramanya, S.R. (2012) A Structural Analysis of Agile Problem Driven Teaching, The Journal of Research in Innovative Teaching, Vol. 5, (pages 89-105).6. Borman, K. M. (2005). Meaningful urban education reform: Confronting the learning crisis in mathematics and science. Buffalo: State University of New York Press.7. Kuhn, T. (1962). The Structure of Scientific Revolutions, Chicago

Conference Session

Entrepreneurship & Engineering Innovation Division – Entrepreneurship Education in New Contexts

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mark M. Budnik, Valparaiso University

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

. Merrill, "CEDA: A research instrument for creative engineering design assessment," Psychology of Aesthetics, Creativity, and the Arts, vol. 2, no. 3, 2008.3. C. Charyton, and J. Merrill, "Assessing general creativity and creative engineering design in first year engineering students." Journal of Engineering Education, vol. 98, no. 2, 2009.4. M. Perl, "Developing creativity and innovation in engineering and science," Inter. Journal of Modern Physics A, vol. 23, no. 27, 2008.5. H. S. Fogler, S. E. LeBlanc, B. Rizzo, Strategies for Creative Problem Solving, 3rd ed., Prentice Hall, 2013.6. T. Simpson, R. Barton, and D. Celento, "Interdisciplinary by design," Mechanical Engineering, vol. 130, no. 9, 2008.7

Conference Session

Curriculum in Engineering Leadership Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

Kyle G. Gipson, James Madison University; Meghan Daly, James Madison University; Cairo Jahan Lakil Sherrell, James Madison University; Thomas Atcheson Ware; Diane L. Foucar-Szocki, College of Education, James Madison University; Justin J. Henriques, James Madison University

Tagged Divisions

Engineering Leadership Development Division

benefits to theDepartment of Engineering as well as the expected benefits for Madison Engineering Leaders inthe workforce and graduate programs. A longitudinal study will be put in place for the first-yearengineering students until they graduate and a survey study will be implemented for the leaderswho have graduated.References1. Engineering at Illinois. Illinois Engineering First Year Experience. Retrieved fromhttp://www.iefx.engineering.illinois.edu/#!about/c7pj Page 26.539.162. Engineering Ambassadors (2013). Engineering Ambassadors Penn State. Retrieved fromhttp://www.engr.psu.edu/ambassadors/3. Kouzes, J., Posner, B., High, B., & Morgan, G

Conference Session

Mathematics Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Ruth Rodríguez-Gallegos, Tecnologico de Monterrey (ITESM); Rafael Ernesto Bourguet-Diaz, Tecnologico de Monterrey (ITESM)

Tagged Topics

Diversity

Tagged Divisions

Mathematics

engineering education.Dr. Rafael Ernesto Bourguet-Diaz, Tecnologico de Monterrey BSIE minor in electronics (1983), MSEE (1994), and PhD AI (2003). Assistant Professor at Tecnologico de Monterrey, Department of Industrial and Systems Engineering. Research interest on: (a) knowledge re-utilization in corporate using System Dynamics and Systems methodologies, and (b) on hybrid envi- ronments for learning and teaching Mathematics and Systems Thinking. Page 26.302.1 c American Society for Engineering Education, 2015 Building Bridges between Mathematics and Engineering:Identifying

Conference Session

Engineering Laboratory Experiences

Collection

2015 ASEE Annual Conference & Exposition

Authors

Michael J. Schertzer, Rochester Institute of Technology (COE); Patricia Iglesias, Rochester Institute of Technology (COE); Kate N. Leipold, Rochester Institute of Technology (COE); John D. Wellin, Rochester Institute of Technology (COE)

Tagged Divisions

Mechanical Engineering

peers andinstructors. During the week “A” lab period, students are introduced to the lab facility andperform an ungraded activity where they manually perform relevant calculations using a smallsubset of previously recorded data. They are then presented with a full set of previous data sothey can perform relevant calculations and plot pertinent information. This prelab data exercise issubmitted before the week “B” lab period. During the week “B” lab period, students run thelaboratory to generate their own data set. A draft A3 report is then submitted prior to thefollowing week “A” lab period. Students peer-review the draft A3 reports in lab before theyperform the manual activity for the next laboratory. Final A3 drafts are due at 11:59 pm

Conference Session

Various Prospectives in Power Systems

Collection

2015 ASEE Annual Conference & Exposition

Authors

Omonowo David Momoh, Indiana University Purdue University, Fort Wayne; Austin James Deventer; Nathaniel Ryan Beemer

Tagged Divisions

Engineering Technology

rotating transformer. Students are required to plot the torque-speed characteristic curve for the machine. STATOR A START SWITCH ROTOR A 3Φ AC INPUT B C B C PRONY BRAKE Page 26.1053.11 TACHOMETER Figure 8a: Induction Motor Torque-Speed

Collection

2015 Pacific Southwest Section Meeting

Authors

Eric J. White; George Jing; Sandrine Fischer

. To illustrate this, we consider the TIPP classification mentioned inthe Introduction. TIPP classifies exercises by knowledge type (information and mentalprocedures), which are further divided into six increasingly reflective processes. Homeworkexercises were selected from one chapter of an introductory physics textbook5 used at a largepolytechnic state university. Exercises were classified by two students and one instructoraffiliated with the phiMap project. Figure 6 displays the frequency of exercises per TIPPcategory for this chapter. For this sample audit, we consider only the first three cognitiveprocesses, which in the figure correspond to retrieval (1a–b), comprehension (2a–b), and analysis(3a–e). Note that higher levels (knowledge