the E and ET academic career. At the end, I would like to mention that some of these suggestions will work while others may not, based on the faculty’s personality and way of implementation, but it’s always good to try. References Accreditation Criteria from Policy and Procedural Manual, www.abet.org. Adams, Robin S. and Felder, Richard (2008) “Reframing Professional Development: A Systems Approach to Preparing Engineering Educators to Educate Tomorrow ’s Engineers, Journal of Engineering Education, Pp.239-241. Austin, A. E. (2003). Creating a bridge to the future: Preparing new faculty to face changing expectations in a shifting context. Review of Higher Education, 26, 119-144. Boice, R. (1992). The New Faculty Member, San Francisco, CA
ofcognitive style (KAI) based on the Quality metrics. At first, linear regression models weregenerated using SPSS software in order to determine if a simple linear regression could modelKAI or its subscores effectively. After this, SPSS was used to generate logarithmic, inverse,quadratic, cubic, compound, power, S, growth, and exponential regression models13 to relateKAI and its subscores to the Quality metrics. Table 1: Table of the groupings of KAI and its subscores Group KAI Values SO Values E Values RG Values 1 57 - 64 21-25 8-10 20-22 2 65-70 26-28 11-12 23-25 3 71-77 29
Workshop should have less speakers Other (please specifiy)Figure 2. Results from the panelist survey based on how the event could be improvedThe results of the attendee survey mirrored the panelists’ responses on the organization andlength of the workshop again noting that it was a well-organized event and the length wasappropriate, though a small percentage felt the event was somewhat long. In addition to thesequestions, the attendees were also asked to reflect on their thoughts regarding workshop content,suggestions for future events, if they would consider attending again and most importantly thebenefit(s) from attendance.The attendees overwhelmingly replied that the topic was of interest to them and that some
. The lab consists of hands-on exercises that providethe student with the opportunity to program the hardware to perform some simple useful controlfunction(s) and to make projects that can be controlled through the Internet. To implement thecourse the faculty choose to use low-cost universally available hardware that is available from avariety of online sources. The microprocessor platform utilized is the Raspberry Pi and theassociated open-source microcontroller platform is the Arduino Uno. The Arduino Uno shown inFigure 1 below has been around for some time and has been cloned by numerous vendors. Due toits longevity, there are many accessories (known as shields) available from the same vendors. Aquick search of Amazon.com will provide one
, beliefs, and practice. Journal of the Learning Sciences, 17(3), 381–414.11. Biggers, M., & Haefner, L. A. (2015, April). Integrating Elementary Science and Engineering Curriculum. Presentation at National Association of Research of Science Teaching Annual Conference, Chicago, IL.12. Century, J., Rudnick, M., & Freeman, C. (2010). A framework for measuring fidelity of implementation: A foundation for shared language and accumulation of knowledge. American Journal of Evaluation, 31(2), 199–218. 13. Remillard, J. T. (2005). Examining key concepts in research on teachers’ use of mathematics curricula. Review of Educational Research, 75(2), 211–246. 14. Merriam, S. B. (2009). Qualitative research: A guide to design and
improve student learning.a See http://www.stack.nl/~dimitri/doxygen/projects.html.b JavaDoc is included in Oracle’s Java implementation and used to document its API, resulting in wide adoption inthe Java community. See, for example, https://docs.oracle.com/javase/8/docs/api/overview-summary.html.Much of the instruction in the microprocessors course requires students to integrate material frommultiple sources. For example, the function shown in Figure 1(a) also depends on understandingof a timer provided in the textbook used in the course, and specific reference to the definition ofbits in timer 2’s control register which is provided in the microcontroller’s datasheet. Cognativeload theory predicts that when these elements are spatially or
by the National Science Foundation under Grant No.1151019. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. We would also like to acknowledge the contributions of the MEDLEEresearch group.REFERENCES1. Bursic KM, Atman CJ. Information gathering: A critical step for quality in the design process. QualityManagement Journal. 1997;4(4).2. Ennis Jr CW, Gyeszly SW. Protocol analysis of the engineering systems design process. Research in EngineeringDesign. 1991;3(1):15-22.3. Atman CJ, Adams RS, Cardella ME. Engineering design processes: A comparison of students and expertpractitioners. Journal of Engineering
. Which room(s) on campus should we upgrade first?All participants were given free range to elaborate on these questions or make other commentsand suggestions they felt was essential to the conversation. Rather than concentrating on newcutting-edge technologies and modernistic concepts, participants overwhelming felt fixingsimple issues in currently existing classrooms would make a huge difference in their teachingand learning and was a crucial first step in the classroom of the future design moving forward.ResultsThere were a total of 51 participants, including instructors and students, that provided feedbackeither in person or via one of the online methods. All comments and suggestions were sorted andgrouped to a matching category, which
Identity Formation, Research in Science Education, vol. 43, issue 5, p.1979-2007 (October, 2013).17. Schultz, L.A., Barriers for Wilmot High School Female Students not Enrolling in the Mechanical Design Technology Program at Gateway Technical College, Thesis, University of Wisconsin, http://www2.uwstout.edu/content/lib/thesis/2011/2011schultzl.pdf (2011).18. Tully, D., Jacobs, B., Effects of Single-Gender Mathematics Classrooms on Self-Perception of Mathematical Ability and Post-Secondary Engineering Paths: An Australian Case Study, European Journal of Engineering Education, 35:4, 455-467 (2010).19. Wee, S.; Cordova-Wentling, R.M.; Korte, R.F.; Larson, S.M.; Loui, M.C., Why Many Smart Women Leave Engineering: A
reasoning in science. In: Carruthers P, Stich S, Siegal M, eds. The Cognitive Basis of Science. Port Chester, NY: Cambridge University Press; 2002:133-153.12. Nersessian NJ. Model-based reasoning in conceptual change. In: Magnani L, Nersessian NJ, Thagard P, eds. Model-Based Reasoning in Scientific Discovery. New York: Kluwer Academic/Plenum Press; 1999:5-22.13. Lesh R, Doerr HM. Foundations of a models and modeling perspective on mathematics teaching, learning, and problem solving. In: Lesh R, Doerr HM, eds. Beyond Constructivism: Models and Modeling Perspectives on Mathematics Problem Solving, Learning, and Teaching. Mahwah, NJ: Lawrence Erlbaum Associates; 2003:3-33.14. Kozma R, Russell J. Modelling students
module to the main controller. After, the transmitter was connected to the Naza using aservo cable. The S-Bus receiver in the transmitter was connected to the X2 channel of theNaza.At the end, the GPS module was plugged into the GPS port on the PMU. Figure 6 showsall electronic parts connected and fitted in the bottom box. Figure 6: Electronic parts connected and fitted in the bottom boxConfiguration1. Electronic Speed Controller (ESC) CalibrationElectronic speed controllers are responsible for spinning the motors at the speed requested by theautopilot. Figure 7 shows a Turnigy-Electronic Speed Controller used. Most ESCs need to becalibrated so that they know the minimum and maximum PWM (Pulse Width Modulation)values that the
-14.15. Glynn S, Brickman P, Armstrong N, Taasoobshirazi G. Science Motivation Questionnaire II: Validationwith science majors and nonscience majors. Journal of Research in Science Teaching. 2011; 48(10): 1159-76.16. Lackey L, Jack W, Grady HM, Davis MT. Efficiency of using a single, non-technical variable to predict tehsuccess of academic success in freshman engineering students. Journal of Engineering Education. 2003; 92(1): 41-8.17. Bryan R, Glynn S, Kittleson J. Motivation, achievement, and advanced placement intent of high schoolstudents learning science. Science Education. 2011; 95(6): 1049-65.18. Zygomatic. Free online word cloud generator and tag cloud creator. Worldclouds.com; 2016. AppendixEngineering Motivation
Education, Savannah, GA. https://engineering.purdue.edu/MIDFIELD/Papers/paper08.pdf6. Meadows, L.A., Fowler, R., and Hildinger, E. S. (2012). Empowering students with choice in the first year. ASEE Annual Conference and Exposition Proceedings, San Antonio, Texas. Retrieved from: https://www.asee.org/public/conferences/8/papers/4128/download7. Meyers K. L., Silliman, S. E., Gedde N.L. and Ohland, M. W. (2010). A comparison of engineering students’ reflections on their first-year experiences. Journal of Engineering Education, 99, 169-178
learning components.AcknowledgmentsThis work was supported in part by a grant to Rice University from the Howard Hughes MedicalInstitute through the Precollege and Undergraduate Science Education ProgramReferences[1] X. Chen and M. Soldner, “STEM Attrition: College Students’ Paths into and out of STEM Fields. Statistical Analysis Report. NCES 2014-001.,” National Center for Education Statistics, 2013.[2] T.A. Lacey and B. Wright, B, “Occupational employment projections to 2018,” Monthly Labor Review, vol. 132, no. 11, pp. 82 – 123, 2009.[3] National Science Foundation [NSF], “What is the S&E retention rate in U.S. 4-year institutions?” [Online]. Available: https://www.nsf.gov/nsb/sei/edTool/data/college-10.html [Jan
showcased in the course website.IV. Pre-Lesson Quiz a. You just downloaded the popular Angry Birds game. As you play the game (on your phone, or in the lab, or on your computer), try to figure out how the game is implemented. What are the variables you change as you push the bird up or down, left or right?V. Test Your Mettle Quiz a. You shoot a dart at a speed of 10 m/s with an angle of 50. What is the time for impact. b. What is the maximum height and what is the maximum range for the dart in question a. c. You shoot a dart at a speed of 10 m/s with an angle of 45. What is the time for impact. d. What is the maximum height and what is the maximum range for the dart in question c. e
maker movement manifesto: rules for innovation in the new world of crafters, hackers,and tinkerers. McGraw Hill Professional, 2013.4 Fab Foundation. What is a Fab Lab? Web. 28 Dec. 2015 .5 Bloom, Benjamin S. Hasting, Thomas. Madaus, George. Handbook of formative and summativeevaluation of student learning. New York, USA: McGraw-Hill, 1971.6 Harris, Pamela. Johnson, Ralph. Non-traditional Teaching & Learning Strategies. Montana StateUniversity. Web. 6 Jan. 2016. .7 Wookieepedia. Jedi. Web. 28 Dec. 2015. .8 Etsy. Redefining Entrepreneurship: Etsy Sellers Economic Impact. Web.https://blog.etsy.com/news/files/2013/11/Etsy_Redefining-Entrepreneurship_November-2013.pdf9 Bloom, Benjamin S. Hasting, Thomas. Madaus, George. Handbook of formative
. Oklahoma City, OK. October 23-26. (2013)6 Rogalski, J., & Samurc¸ay, R. 1990. Acquisition of programming knowledge and skills. In J.M. Hoc, T.R.G. Green, R. Samurc¸ay, & D.J. Gillmore (Eds.), Psychology of programming (pp. 157–174). London: Academic Press7 du Boulay, B. 1989. Some difficulties of learning to program. In E. Soloway & J.C. Spohrer (Eds.), (pp. 283–299). Hillsdale, NJ: Lawrence Erlbaum.8 Sweller, J., Ayres, P., and Kalyuga, S. 2011. Cognitive Load Theory, Explorations in the Learning Sciences, Instructional Systems and Performance Technologies, doi: 10.1007/978-1- 4419-8126-4_5, Springer Science+Business Media, LLC9 Maloney, J., Peppler, K., Kafai, Y. B., Resnick, M., & Rusk, N
than halfthe lab with another student. The students also relied heavily on the TA; only 1 person said s/hedid not get TA assistance for the NI myDAQ lab.TroubleshootingJust as was observed in class, the most common way that students approached troubleshootingwas to visually compare their circuit to the diagram. Of the students reporting, 7 completedtroubleshooting visually; 2 people used the multimeter; no one used the oscilloscope; and onestudent wrote that s/he “tried everything” (Table 1). A key objective of these labs is for studentsto encounter problems building the circuit and have to invoke circuit debugging techniques. Allstudents except one indicated confusion about how to proceed at some point during the lab. Thisis evidence that the
), both with Pearson Prentice Hall. Prof. Notaros served as General Chair of FEM2012, Colorado, USA, and as Guest Editor of the Special Issue on Finite Elements for Microwave Engineering, in Electromagnetics, 2014. He was the recipient of the 1999 Institution of Electrical Engineers (IEE) Marconi Premium, 2005 Institute of Electrical and Electronics Engineers (IEEE) MTT-S Microwave Prize, 2005 UMass Dartmouth Scholar of the Year Award, 2012 Colorado State University System Board of Governors Excellence in Undergraduate Teaching Award, 2012 IEEE Region 5 Outstanding Engineering Educator Award, 2014 Carnegie Founda- tion for the Advancement of Teaching Colorado Professor of the Year Award, 2015 American Society for
the implications and interconnectionsbetween key terms and concepts linked to a topic. In this paper, we have present results based onthe “thought bubbles” approach for ‘Cybersecurity (for Networked Systems)’ course and‘Program Design for Engineers’ course. However, the proposed approach can be implemented inany other courses in a straightforward manner.AcknowledgementsThis work is supported in part by the US National Science Foundation (NSF) under Grant CNS1405670. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the Foundation. The authorswould like to thank the students who participated in the feedback process for different coursesand
Teacher Professional Development in Engineering: Lessons Learned from Engineering is Elementary. in 2008 ASEE Annual Conference and Exposition, June 22, 2008 - June 24, 2008 (2008). 7. Brophy, S., Klein, S., Portsmore, M. & Rogers, C. Advancing Engineering Education in P-12 Classrooms. Journal of Engineering Education 97, 369–387 (2008). 8. National Academy of Engineering & National Research Council. Engineering in K-12 education: Understanding the Status and Improving the Prospects. (The National Academies Press, 2009). 9. Melchior, A., Burack, C., Gutbezahl, J., Hoover, M. & Marcus, J. FIRST Longitudinal Study: Summary of Preliminary Findings – Year 2. (The Center for
students learned, students alsoreported that they learned many others specific things. Terms explicitly used included“patience,” “time management,” “responsibility,” “leadership,” “accountability,” and“discipline.” Some of these responses are included in the table below with a student response toprovide an example in their words. Response Student quote Creativity “Sometimes you have to think outside of the box to come up with the best solution” Brainstorming “It’s better to brainstorm ideas in a group because other[s] offer a new perspective in functionality and creative aspects that you
, 139(1), 49-68.[9] J. Mills et al., “Introduction: Why we need Gender Inclusive Engineering Education,” in Gender InclusiveEngineering Education, New York, Routledge, 2010.[10] J. Archer and S. Freedman, “Gender-Stereotypic perceptions of academic disciplines,” Br. J. educ. Psychol, 59,306-313, 1989.[11] J. Calnan and L. Valiquette for Engineers Canada. (2010, March, 31). Paying heed to the canaries in the coalmine: Strategies to attract and retain more women in the engineering profession through green light leadership[Online]. https://www.engineerscanada.ca/sites/default/files/w_Canaries_in_the_Coal_Mine.pdf[12] I.H. Settles et al, “Derogation, Discrimination, and (Dis)Satisfaction With Jobs in Science: A GenderedAnalysis,” Psychology of
wassupported by a University of Pittsburgh Innovation in Education grant as well as an NSFResearch Initiation Grant in Engineering Education (RIGEE EEC#1340426), for which theauthors are also grateful.References1. Baregheh A, Rowley J, Sambrook S. Towards a multidisciplinary definition of innovation. Manag Decis. 2009;47(8):1323-1339. doi:10.1108/00251740910984578.2. Arastoopour G, Collier W, Chesler NC, Linderoth J, Shaffer DW. Measuring the complexity of simulated engineering design problems. Am Soc Eng Educ. 2015.3. Markovetz, MR, Clark, RM, Zwiecki, Z, Arastoopour, G, Chesler, NC, Shaffer, DW, Bodnar CA. Influence of End Customer Exposure on Product Design within an Epistemic Game Environment. Adv Eng Educ. 2016
Triangle Park, NC) [2] French, BF, Immekus, JC, Oakes, WC, 2005, “An examination of indicators of engineering students’ success and Journal of Engineering Education persistence” 94 (4) 419–425 [3] Hall, CW, Kauffman, PJ, Wuensch, KL, Swart, WE, DeUrquidi, KA, Griffin, OH, Duncan, S, 2015, “Aptitude Journal of Engineering Education and personality traits in retention of engineering students
Identity: An Organizational Case Study” SA J. Ind. Psychol. Vol. 38 no.2, Caper Town Jan. 2012. 3. Chambers, Z., & Herniter, M., & Callanan, L., and Prabhu, S. (2007, June), Development Of Model Based Design Curriculum Paper presented at 2007 Annual Conference & Exposition, Honolulu, Hawaii. https://peer.asee.org/2018 4. Jovanovic, V. M., & Goris, T. V., Djuric, A. M., Katsioloudis, P. J., Luetke, N. J., Moustafa, M. R., and Matrood, B. (2015, June), Integration of Mechatronics Design Approach into Teaching of Modeling Practices Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington. 10.18260/p.24337 5. Herniter, M.E., Chambers, Z., Prabhu, S,M
Conference and Exposition, Seattle, 2015.6. G. Lesmond, "Development of Analytic Rubrics for Competency Assessment (DARCA) Phase 2: 4th Interim Progress Report," Toronto, 2016.7. D. P. Crismond and R. S. Adams, "The Informed Teaching and Learning Matrix," Journal of Engineering Education, vol. 101, no. 4, pp. 738-797, 2012.8. M. J. Safoutin, C. J. Atman, R. Adams, T. Rutar, J. C. Kramlich and J. L. Fridley, "A Design Attribute Framework for Course Planning and Learning Assessment," IEEE Transactions on Education, vol. 43, no. 2, pp. 188-199, 2000.9. D. C. Davis, K. L. Gentili, M. S. Trevisan, R. K. Christianson and J. F. McCauley, "Measuring Learning Outcomes for Engineering Design Education," in Proceedings of the Annual Conference
thepeer mentor program in Mechanical Engineering will be used to inspire and improve peer mentorprograms throughout the College.Bibliography1. Marra, R. M., Shen, D., Rodgers, K., & Bogue, B., “Leaving Engineering: A Multi-Year Single Institution Study,” Journal of Engineering Education, 101(1), p. 6-27 (2012). Retrieved January 30, 2016 from http://onlinelibrary.wiley.com/doi/10.1002/j.2168-9830.2012.tb00039.x/pdf.2. Laier, J., & Steadman, S. J., “Improving Transfer Student Success,” Indianapolis, Indiana: ASEE Conferences (2014). Retrieved from https://peer.asee.org/20616.3. Chen, X., “STEM Attrition: College Students’ Paths Into and Out of STEM Fields,” Washington, DC, United States: National Center for
according to the wheat and chessboard problem. • The ruler laughs it off as a meager prize for a brilliant invention, only to have court treasurers report the unexpectedly huge number of wheat grains would outstrip the ruler's resources. • Versions differ as to whether the inventor becomes a high-ranking advisor or is executed.This example can lead to explaining the idea of pole location as related to stable and unstablesystems. Figure 3 illustrates this principle. Figure 3 - Different time domain outputs based on S-domain poles’ locations - Source: ONLINE6The chess problem “output” is related to the right bottom drawing in Figure 3. It shows anexponentially diverging
concepts in engineering science and helping engineering faculty conduct rigorous research in engineering education.Dr. Robin Adams, Purdue University, West Lafayette Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University and holds a PhD in Education, an MS in Materials Science and Engineering, and a BS in Mechanical Engineering. She researches cross-disciplinarity ways of thinking, acting and being; design learning; and engineering education transformation. c American Society for Engineering Education, 2016 Voicing the indescribable: Using photo elicitation as a method to uncover belonging and