Collection

2006 ASEE Midwest Section Conference

Authors

Day Radebaugh; Kurt A. Soschinske; Glyn Rimmington; Mara Alagic

the annual meeting of the the Annual Meeting of the Pacific Southwest Section of the American Society for Engineering Education, San Luis Obispo, CA.9. Ladd, J. (1980). The Quest for a Code of Professional Ethics: An Intellectual and Moral Confusion. In R. Chalk, M. S. Frankel & S. B. Chafer (Eds.), AAAS Professional Ethics Project: Professional Ethics Activities in the Scientific and Engineering Societies (pp. 154-159). Washington, DC: AAAS10. McDonald, J. (1993). Thin Examples of Moral Dilemmas. Social Theory and Practice, Vol. 19, pp. 225.11. Whitbeck, C. (1995). Teaching Ethics to Scientists and Engineers: Moral Agents and Moral Problems. Science and Engineering Ethics, Vol. 1:3, 299-308.12. Dorner, D

Collection

2006 ASEE Midwest Section Conference

Authors

Ing-chang Jong P.E.

, Volume XXVI, Number 11, 1921, pp. 369-396.2. Timoshenko, S., and G. H. MacCullough, Elements of Strength of Materials, Third Edition, D. Van Nostrand Company, Inc., New York, NY, 1949, pp.179-181.3. Singer, F. L., and A. Pytel, Strength of Materials, Fourth Edition, Harper & Row, Publishers, Inc., New York, NY, 1987, pp. 228-232.4. Beer, F. P., E. R. Johnston, Jr., and J. T. DeWolf, Mechanics of Materials, Fourth Edition, The McGraw-Hill Companies, Inc., New York, NY, 2006.5. Pytel, A., and J. Kiusalaas, Mechanics of Materials, Brooks/Cole, Pacific Grove, CA, 2003.6. Gere, J. M., Mechanics of Materials, Sixth Edition, Brooks/Cole, Pacific Grove, CA, 2004.7. Shigley, J. E., Mechanical Engineering Design, Fourth Edition

Collection

2007 Spring ASEE Middle Atlantic Section Conference

Authors

Graham Walker

) Gleixner, S., Young, G., Vanasupa, L., Dessouky, Y., Allen, E., and Parent, D. (1995), “Teaching StatisticalExperimental Design Using a Laboratory Experiment”, Journal of Engineering Education, vol. 84; no. 4.3) Lyons, J., Morehouse, J., and Rocheleau, D. (2001) “Developing a Systems Approach to Engineering ProblemSolving and Design of Experiments in a Racecar-Based Laboratory Course”, Journal of Engineering Education, vol.90, no. 1.4) Munson-McGee, S. (2000), “An Introductory ChE Laboratory Incorporating EC 200 Criteria”, ChemicalEngineering Education, vol. 34, no. 1. 7

Collection

2006 Fall ASEE Middle Atlantic Section Conference

Authors

Bert Davy; Indranil Goswami; Jiang Li; Gbekeloluwa Oguntimein; Charles Oluokun; Arcadio Sincero

” acknowledges that tapping the potential in “previously underutilized groups” will becritical for sustaining the technological lead the U.S. enjoys throughout the world (NSF, 2006).National concern has been expressed about the status of the U. S. science and engineering base-specifically the human talent, knowledge and infrastructure that generate innovations andundergird technological advances to achieve national objectives. Analyses have shown that theremay be a significant shortage in the entry level science and engineering labor pool, and thatscientific and technical fields could be significantly affected. Demographic data also show afuture with proportionately fewer young people and a work force comprised of growing numbersof minorities and the

Collection

2006 Spring ASEE Middle Atlantic Section Conference

Authors

Farouq Alhourani

robot(s) within the FMS cell.(3) FMS Robot Program Efficiency. This exercise allow students to analyze eachFMS program of robotic movements and offer an objective critique in order tomake each movement a time efficient move. The students solve the workcell/machine capacity and efficiency problem. This allow the students to apply theproblem solving skills to the CIM cell, in order to operate efficiently.(4) Flexible End of Arm Tooling. The students are given a problem to solveinvolving the end of arm tooling for a robot in a FMS. The students conductresearch on materials, design and manufacture a flexible end of arm toolingsolution to the problem. The students apply knowledge of hydraulics/pneumaticsand electrical application. This exercise

Collection

2008 Spring ASEE Middle Atlantic Section Conference

Authors

Matt Armstrong; Richard L. Comitz; Andrew Biaglow; Russ Lachance; Joseph Sloop

Engineering Design Process Environment: Technological Design & Economic Analysis Political Alternatives Social Generation Modeling & Analysi s Problem Decision Definition Making EngineeringCurrent Status: Needs Design Comparison of

Collection

2008 Spring ASEE Middle Atlantic Section Conference

Authors

Linda Ann Riley; Charles Thomas

establish a bridge that we hope in time will ultimately affect the pipeline ofentering engineering freshmen. At the very least, the partnership has provided the authors with a deeperappreciation of the challenges and opportunities associated with middle and secondary education systemsin Rhode Island and the nation.ReferencesAmerican Society for Engineering Education. (2007). Profiles of Engineering and Engineering TechnologyColleges. Washington D.C.: American Society for Engineering Education.Jefers, A. S. (2004). Understanding K-12 Engineering Outreach Programs. Journal of Professional Issues inEngineering Education and Practice (138), 95-108.National Center for Education Statistics, Institute of Education Statistics. (2006). The Nations Report

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Campbell R. Bego, University of Louisville; Tessa Withorn, University of Louisville; Judith Danovitch, University of Louisville; Angela Thompson P.E., University of Louisville; Elisabeth Thomas, University of Louisville; Gabriel Ethan Gatsos, University of Louisville; Alvin Tran, University of Louisville

Tagged Divisions

Educational Research and Methods Division (ERM)

) reveal a slightly positive attitude toward ChatGPT overall, although again,the range of results indicates that opinions varied widely. Kolmogorov-Smirnov (K-S) testsindicated non-normal distributions, but these tests are known to detect very small deviationswhen applied to a large dataset. The K-S statistics values were low (.079, .064, .097, and .117respectively for the individual components), and the histograms (shown in Figure 1) as well asthe skewness and kurtosis values appear close to normal.Figure 1Distribution of students’ attitudes towards ChatGPT. 80 80 70 70 60

Conference Session

Laboratory and Research Skill Development

Collection

2024 ASEE Annual Conference & Exposition

Authors

George Prpich, University of Virginia; Natasha Smith, University of Virginia; Caroline Elizabeth Crockett, University of Virginia; Anukriti Shrestha, University of Virginia

Tagged Divisions

Chemical Engineering Division (ChED)

(pp. 269-274). IEEE. 4. Michaeli, T., & Romeike, R. (2021, April). Developing a real world escape room for assessing preexisting debugging experience of k12 students. In 2021 IEEE Global Engineering Education Conference (EDUCON) (pp. 521-529). 5. Estrada, T., & Atwood, S. A. (2012, June). Factors that affect student frustration level in introductory laboratory experiences. In 2012 ASEE Annual Conference & Exposition (pp. 25- 629). 6. Van De Bogart, K. L., Dounas-Frazer, D. R., Lewandowski, H. J., & Stetzer, M. R. (2017). Investigating the role of socially mediated metacognition during collaborative troubleshooting of electric circuits. Physical Review Physics Education Research, 13(2

Conference Session

Software Engineering Division (SWED) Technical Session #2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Elise Deitrick, Codio; Maura Lyons, Codio; Joshua Richard Coughlin Stowell Ball, Codio

Tagged Topics

Diversity

Tagged Divisions

Software Engineering Division (SWED)

active learning," CBE—Life Sciences Education, vol. 14, no. 1, p. ar5, 2018.[7] B. B. Morrison, L. E. Margulieux, B. J. Ericson, and M. Guzdial, "Subgoals help students solve Parsons problems," Learning and Instruction, vol. 34, pp. 63-71, 2015.[8] T. Naps, G. Rößling, V. Almstrum, W. Dann, R. Fleischer, C. Hundhausen, A. Korhonen, L. Malmi, M. McNally, S. Rodger, & J. Á. Velázquez-Iturbide, "Exploring the role of visualization and engagement in computer science education," SIGCSE Bulletin, vol. 35, no. 2, pp. 131-152, 2002.[9] H. G. Sigarchian, S. Logghe, R. Verborgh, W. de Neve, F. Salliau, and E. Mannens, "Hybrid e-TextBooks as comprehensive interactive learning environments," Interactive Learning Environments

Collection

2024 ASEE St. Lawrence Section Annual Conference

Authors

Ioana Tiu; Koenraad Gieskes

initiatives aimedat promoting gender equity within STEM disciplines. CitationsBELL, A. M. Y. E., SPENCER, S. T. E. V. E. N. J., ISERMAN, E. M. M. A., & LOGEL, C. H. R. I. S. T. I.N. E. E. R. (2003). Stereotype threat and women's performance in engineering. Journal of EngineeringEducation, 92(4), 307–312. https://doi.org/10.1002/j.2168-9830.2003.tb00774.xDanyelle Tauryce Ireland Associate Director of the Center for Women in Technology and Research Assistant Professor in the Engineering and Computing Education Program. (2022, September 13). Only about 1 in 5 engineering degrees go to women. The Conversation. Retrieved December 8, 2022, from https://theconversation.com/only-about-1-in-5

Collection

2012 ASEE Midwest Section Conference

Authors

Christi Patton Luks

of using other’swork. My grades have not been overturned lately.ConclusionI hope that my stories encourage you to approach breaches in academic honesty with moreserious intent. If we fail to stop the problem in the classroom, our students begin to believe thatsmall dishonesties will not be noticed and, in fact, are OK in the future. It is up to us to make thechanges so that honesty becomes the norm in later life.Bibliography1. Whitley, B. E. “Factors associated with cheating among college students: A review,” Research in Higher Education, 39, 235 – 274.2. Lambert, E. G., N. L. Hogan, and S. M. Barton, “Collegiate Academic Dishonesty Revisited: What Have They Done, How Often Have They done It, Who Does It, And Why Did They

Collection

2015 Spring ASEE Middle Atlantic Section Conference

Authors

Kevin Scoles

columns in the table illustrate theparallel activities taking place in the course. The renewable energy topical material (Readings/Multimedia) moves at a pace of about one energy technology per week. Readings and onlinelectures are based on the textbook, with additional, more recent material from sources such as theU. S. Energy Information Administration (EIA) and others as appropriate. Another track(Activities) gives weekly assignments to learn and exercise critical features of the HOMERenergy system modeling software4, and make connections between lecture topics and actualsystem hardware (wind turbines, solar modules, batteries, etc.). The final track is the groupproject itself.II. Learning goalsThe learning goals for the course are listed in

Collection

2015 Spring ASEE Middle Atlantic Section Conference

Authors

Anurag Purwar; Pranav Korrapati; Q. J. Ge; Xin Ge

Computing and Information Science in Engineering, 12, pp. 041003–041003.15 Ge,Q. J., Zhao, P., and A., P., 2013, Decomposition of Planar Burmester Problems Using Kine- matic Mapping, volume 14 of Advances in Mechanisms, Robotics, and Design Education and Research, Mechanisms and Machine Science, Springer.16 Sandor, G. N. and Erdman, A. G., 1997, Advanced Mechanism Design: Analysis and Synthesis Vol. 2, Prentice-Hall, Englewood Cliffs, NJ.17 Hunt, K., 1978, Kinematic Geometry of Mechanisms, Oxford University Press, New York.18 Hartenberg, R. S. and Denavit, J., 1964, Kinematic Synthesis of Linkages, McGraw-Hill, New York.19 Suh, C. H. and Radcliffe, C. W., 1978, Kinematics and Mechanism Design, Wiley, New York.20 Autodesk, “123D

Collection

2015 Spring ASEE Middle Atlantic Section Conference

Authors

Ralph C. Tillinghast; Amelia W. Wright; Leslie A. Stevens

optimization, student motivation,market acceptance and target population. From these, this paper will focus on three keydifferences the authors feel have a significant impact on whether MOOCs will emerge as adisruptive technology: - Mass Population - Cognitive Optimization - Market Acceptance i. Mass PopulationAs indicated by MOOC’s name, Massive, represents the volume of materials available and themassive number of people the educational materials can reach. For example a course on artificialintelligence was held in 2011 by Stanford professor S. Thrun that started with approximately160,000 students.10 This ability for potentially unlimited enrollment allows the knowledge tospread similar to the way that

Collection

2015 Spring ASEE Middle Atlantic Section Conference

Authors

Orla Smyth LoPiccolo

Hartley, J., Note taking in non-academic settings: a review. Applied Cognitive Psychology, 16, 559-574, 200217 DeZure, D., Kaplan, M., Deerman, M.A., Research of Students Note-taking Implications for Faculty and GraduateStudent Instructors, University of Michigan, No. 16 2001 Spring 2015 Mid-Atlantic ASEE Conference, April 10-11, 2015 Villanova University18 Hanford, E., Rethinking the Way College Students are Taught, American RadioWorks,http://americanradioworks.publicradio.org/features/tomorrows-college/lectures/rethinking-teaching.html retrievedMarch, 1, 201519 Cohn, E., Cohn, S., & Bradely, J.J. Notetakeing, working memory, and learning in principles of economics.Research in Economic Education, 26 (4), 291-397, 199520 Kiewra

Collection

2015 Spring ASEE Middle Atlantic Section Conference

Authors

Firdous Saleheen; Salvatore Giorgi; Zachary Smith; Joseph Picone; Chang-Hee Won

Internet ire rt qu o d? re upp VOLTA Host S Server ta t sis ar e nc as Sm Client/Student Hardware for circuit

Collection

2012 Spring ASEE Middle Atlantic Section Conference

Authors

Robert T. Bailey

. Shih, P. Schrader, “Use of Scenario-Based Learning Approach in Teaching Statics,” in Proceedings of the 2004 American Society for Engineering Education Annual Conference and Exposition, Salt Lake City, UT, June 20 – 23, 2004.3. Newcomer, J. L., Many Problems, “One Solution Method: Teaching Statics without `Special Cases’”, Frontiers in Education Conference, San Diego, CA, October 27 – 31, 2006.4. Yang, E. and B. Withiam, “Efficient Statics Lecture Through the Use of Worksheets,” in Proceeding of the Fall 2010 Mid-Atlantic ASEE Conference, Philadelphia, PA, October 15-16, 2010.5. Danielson, S. and Mehta, S., “Teaching Resources for the New Millennium: Statics as an Example,” Journal of STEM Education, Vol. 2, No. 1

Collection

2012 Spring ASEE Middle Atlantic Section Conference

Authors

Z80 was selected for the CPUrather than an 8086 for several reasons. First and foremost, the 8086 is no longer manufactured.Second, the Z80’s clock is DC-coupled, allowing students to single-step through instructions fordebugging (the 8086 requires a 2 MHz minimum clock speed). Third, the Z80 is a popularprocessor among hobbyists and in industry and is supported by a rich set of peripheral interfacecomponents and projects. Fourth, the Z80 provides completely independent data and addressbuses; on the 8086, the lower eight bits of the address bus are multiplexed with the data bus,which students can find confusing. In addition, since the Z80 is based on the 8080, Z80instructions are very similar to basic x86 instructions. As an added benefit

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

David Hergert

are exactly 3 1s in every character (this is how code 39 got its name, 3 of the 9 bars are 1’s).Figure 4 shows a table for simple code39 barcodes. For example a reading of *P048.5* readingwould be converted as follows:* 010010100 P 001010010 0 000110100 4 000110001 8 100100100. 110000100 5 100110000 * 010010100Machine Vision PrinciplesFu, Gonzalez, and Lee describe six principles of machine vision, namely sensing, preprocessing,segmentation, description, recognition, and interpretation. This project involved all butinterpretation. Sensing is associated with obtaining an image. In our case this would be taking apicture with an iPhone. Next is preprocessing. This is handled by first copying

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Muhammad M. Baig; Rafiqul Islam

PROBLEMS and I TE DED SOLUTIO S in TEACHI G PIC MICROCO TROLLER in EET PROGRAM Muhammad M. Baig Dr. Rafiqul Islam mailto: baigm@nsula.edu mailto: islamr@nsula.edu Assistant Professor Associate Professor Dept. of Engineering Technology Dept. of Engineering Technology Northwestern State University Northwestern State University Natchitoches, LA 71497 Natchitoches, LA 71497 Abstract Microcontrollers have become an integral part in the

Collection

2009 Spring ASEE Middle Atlantic Section Conference

Authors

Warren A. Rosen; M. Eric Carr

constructs a simple memory bus usingthree-state drivers. Finally, the students construct simple clock and control circuits and add themicroprocessor to form a complete microcomputer system. A Z80 was selected for the CPUrather than an 8086 for several reasons. First and foremost, the 8086 is no longer manufactured.Second, the Z80’s clock is DC-coupled, allowing students to single-step through instructions fordebugging (the 8086 requires a 2 MHz minimum clock speed). Third, the Z80 is a popularprocessor among hobbyists and is supported by a rich set of peripheral interface components andprojects. Fourth, the Z80 provides completely independent data and address buses; on the 8086,the lower eight bits of the address bus are multiplexed with the data

Collection

2009 Spring ASEE Middle Atlantic Section Conference

Authors

Development: What does sustainability means to individual in conduct of their life and business.” In handbook of development Policy Strategies, edited by G.M. Mudacumura. New York: Marcel Dekker, Inc.5. Flint,R.W., F.C.Frick, A.Duffy,J.Brittingham,K. Stephens, P.Graham and C.Borgmeyer. (2002). “Characteristics of Sustainable Destination Resort Communities.” Resort Municipality of Whistler, BC, Canada6. Gleick, P., P. Loh, S. Gomez, and J. Morrison. (1995). “California Water 2020: A Sustainable Vision. Pacific Institute Report”, Pacific Institute for Studies in Development, Environment, and Security. Oakland, California.7. Haselbach L., (2008), “The Engineering Guide to LEED-New Construction”.8. U.S. Environmental Protection Agency. (2007

Collection

2011 Pacific Southwest Section Meeting

Authors

Stacy Gleixner; Elena Klaw PhD; Patricia Backer

, American Society for Engineering Education  142 1. P. M. Fearnside, “Global Warming and Tropical Land-Use Change: Greenhouse Gas Emissions from Biomass Burning, Decomposition and Soils in Forest Conversion, Shifting Cultivation and Secondary Vegetation”, Climatic Change, 46(1-2), p. 115-158, (2000).2. “The Revised 1996 Intergovernmental Panel on Climate Change Guidelines”, http://www.ipcc-nggip.iges.or.jp/public/gl/invs1.html3. P. M. Cox, R. A. Betts, C. D. Jones, S. A. Spall and I. J. Totterdell, “Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model”, Nature 408, p. 184-187 (2000).4. M. Asif and T

Collection

2011 Pacific Southwest Section Meeting

Authors

Fariborz M. Tehrani

Author wishes to express his gratitude to undergraduate students who kindly participated in this study. References 1. Barbuto, J. E. (2000). Developing a Leadership Perspective in the Classroom. Journal of Adult Development , 7 (3), pp. 161-169.2. Brown, L. I. (2001). A Meta-analysis of Research on the Influence of Leadership on Student Outcomes. PhD Dissertation, Virginia Tech, Department of Educational Leadership and Policy Studies.3. Cramer, S. F. (1994, Fall). Assessing Effectiveness in the Collaborative Classroom. New Direction for Teaching and Learning (59), pp. 69-81.4. Grow, G. O. (1991, Spring). Teaching Learners to Be Self-Directed. Adult Education Quarterly , 41 (3), pp. 125-149.5. Hersey, P., Angelini, A. L., &

Collection

2011 Pacific Southwest Section Meeting

Authors

David Lanning; Jim Helbling; Wahyu Lestari

fields oflearning. Student satisfaction is high with the current form of the Aerospace Engineering summer campprogram, and the instructors are dedicated to bringing a strong, positive experience to the high schoolstudents, with the aim of generating interest in STEM-related opportunities. The summer programs alsoAcknowledgements Funding for the development of a portion of the course materials from one of the   instructors of the summer camp was based upon work supported by the National Science Foundation under Grant No. 0837009. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not

Collection

2008 Northeast Section Meeting

Authors

Matt Armstrong; Richard L. Comitz; Andrew Biaglow; Russ Lachance; Joseph Sloop

Engineering Design Process Environment: Technological Design & Economic Analysis Political Alternatives Social Generation Modeling & Analysi s Problem Decision Definition Making EngineeringCurrent Status: Needs Design Comparison of

Collection

2009 Northeast Section Meeting

Authors

Warren A. Rosen; M. Eric Carr

constructs a simple memory bus usingthree-state drivers. Finally, the students construct simple clock and control circuits and add themicroprocessor to form a complete microcomputer system. A Z80 was selected for the CPUrather than an 8086 for several reasons. First and foremost, the 8086 is no longer manufactured.Second, the Z80’s clock is DC-coupled, allowing students to single-step through instructions fordebugging (the 8086 requires a 2 MHz minimum clock speed). Third, the Z80 is a popularprocessor among hobbyists and is supported by a rich set of peripheral interface components andprojects. Fourth, the Z80 provides completely independent data and address buses; on the 8086,the lower eight bits of the address bus are multiplexed with the data

Collection

2008 ASEE Zone 1 Conference

Authors

Matt Armstrong; Richard L. Comitz; Andrew Biaglow; Russ Lachance; Joseph Sloop

Engineering Design Process Environment: Technological Design & Economic Analysis Political Alternatives Social Generation Modeling & Analysi s Problem Decision Definition Making EngineeringCurrent Status: Needs Design Comparison of

Collection

2008 ASEE Zone 1 Conference

Authors

Manan Joshi; Sarosh Patel; Lawrence Hmurcik

wave is the wave of ventricular repolarization whereas the U wave is generally theresult of after potentials in the ventricular muscle. The P-Q interval represent the delayed time in thefibers neat the AV node.Some normal values for the amplitudes and durations of the parameters of the wave are as follows:Amplitude: P wave 0.25 mV R wave 1.60 mV Q wave 25% of R wave T wave 0.1 to 0.5 mVDuration: P-R interval 0.12 to 0.2 sec Q-T interval 0.35 to 0.44 sec S-T segment 0.05 to 0.15 sec P wave interval 0.11 sec QRS interval 0.09 sec Figure 2: ECG