component areas: research,interdisciplinary curricula, entrepreneurship, global experience, and application of engineering tomeet social needs. Each student chooses her own unique set of experiences, to achieve thedistinction of Grand Challenge Scholar, endorsed by both the university and the NAE. Amajority of the experiences must also be aligned with the Grand Challenge(s) they have chosento dedicate their efforts toward solving. At ASU, students choose one of five grand challengetheme areas (Education, Energy, Health, Security, Sustainability) or one of the 14 NAE GrandChallenges [2]. Students are admitted to the GCSP as freshmen, and most start work on theprogram requirements in their first semester. Prior to starting their first semester
sciences. Boulder, CO: Westview Press.[2] Marra, R. M., Rodgers, K. A., Shen, D., & Bogue, B. (2012). Leaving engineering: A multi- year single institution study. Journal of Engineering Education, 101(1), 6–27.[3] Eris, O., Chachra, D., Chen, H. L., Sheppard, S., Ludlow, L., Rosca, C., Bailey, T., & Toye, G. (2010). Outcomes of a longitudinal administration of the persistence in engineering survey. Journal of Engineering Education, 99(4), 371–395.[4] Dweck, C. S. (1999). Self-theories: Their role in motivation, personality, and development. Philadelphia: Psychology Press.[5] Sandoval, W. A., & Bell, P. (2004). Design-based research methods for studying learning in context: Introduction. Educational Psychologist
Circuit Design and thatboth engineering instructors reported applying the principles to other courses that they teach(outside of SOAR’s purview). We are also optimistic that these two courses are moving in theright direction as both instructors are methodically refining their redesign strategies, which theywill continue to implement this semester and in future semesters. Our goal is to continue ourefforts in both courses and hope to find the right formula for improving them – especially theDFW rate in Engineering Statics – as we move ahead with the project. We look forward toreporting our complete results at the conference in June as well the direction of futureengineering course redesign efforts at Temple University.ReferencesAmbrose, S. A
algae aquaculture systems with pumps, control, andsolar cells (Figures 4 through 8). The system is made out of clear acrylic plastic sheet (3 to 5mm thick). The sheet is cut with a Universal Laser Systems 40W CO2 laser using AutoCAD orSolidWorks source files. The acrylic is bonded with acrylic cement (Weldon 4052), but ingeneral, all adhesives and materials should be checked for toxicity to algae.The channel height (normal to incident sunlight) is about 1 cm. The widths of the channelsranges from 4 to 8 cm, and can be up to 1-2 m long. Flow rates range from 1 to 10 ml/s, whichcorresponds to a Reynolds Number of about 20 to 500, and a flow velocity of 1 cm/s, indicatinglaminar flow. Syringe pumps are gentle to the algae, and peristaltic pumps
measure andasking whether the solution defined by the student(s) satisfies one or more of the characteristicsin the diagram of figure 3. Figure3.Characteristicsofasuccessfulnaturalsystem[Biomimicry3.8] 43.0 Ask Nature strategy researchAskNature (http://www.asknature.org/) is a comprehensive catalog of nature’s solutions tohuman design challenges. This online library features summaries of more than 1,800 naturalphenomena and hundreds of bio-inspired applications both in the design and in the productphase.4 AskNature can be explored by function asking the
currently stands, we believe Recap’s technology glitches hinder true learninggains and have decided not to implement Recap during the spring 2017 semester. Plans to revisitthe technology later in 2017 to see what improvements have been made will determine future useand implementation decisions.References1 Bransford, J. D., Brown, A. L. & Cocking, R. R. How People Learn: Brain, Mind, Experience and School. (National Academy Press, 2000).2 Fisher, D., Frey, N. & Rothenberg, C. Content-Area Conversations. (ASCD 2008).3 Brookfield, S. D. & Preskill, S. Discussion as a Way of Teaching. (John Wiley and Sons, 2005).4 Alexander, R. J. Towards Diologic Teaching: rethinking classroom talk. (Dialogos, 2017).5 Dreyfus
. Chandra,D.G.&D.B.Malaya(2012).Roleofcloudcomputingineducation.Computing,ElectronicsandElectricalTechnologies(ICCEET),2012InternationalConferenceon,IEEE. Hartmann,S.B.,Braae,L.Q.N.,Pedersen,S.,&Khalid,S.(2016)."ThePotentialsofUsingCloudComputinginSchools:ASystematicLiteratureReview."TurkishOnlineJournalofEducationalTechnology. Kumar,R.,Gupta,N.,Charu,S.,Jain,K.,&Jangir,S.K.(2014)."OpensourcesolutionforcloudcomputingplatformusingOpenStack."InternationalJournalofComputerScienceandMobileComputing3(5):89-98. Pierce,G.L.andP.F.Cleary(2016)."TheK-12educationaltechnologyvaluechain:Appsforkids,toolsforteachersandleversforreform."EducationandInformationTechnologies21(4):863-880. Reidenberg,J.,Russell,N.C.,Kovnot,J.Norton
activities was toengage the students in active, rather than passive learning (Romkey & Cheng, 2009;Viswanathan & Radhakrishnan, 2015). I generally served as facilitator, rather than a deliberateguide in these discussions, making sure students felt comfortable and had a chance to have theiropinions heard, but not explicitly directing the discussion (Jacquez et al., 2007).Along with the in-class SGMA materials, each weekly homework assignment included a SGMA-specific question, as did the midterm(s) and final exams. As shown in Table 2, these individualassignments also progressed through the Bloom’s Taxonomy hierarchy. They were generallymore open-ended than the typical homework problems (Jacquez et al., 2007) and incorporateduncertainties or
on student attitudes towards careers and research inSTEM and has increased their awareness of the skills needed for success in STEM careers.However, students seem to be less confident in the skills that they need for a career in STEMafter participating in research work. Further investigation is needed to determine the cause of theloss in confidence.AcknowledgementThis material is based upon work supported by the Department of Education Minority Scienceand Engineering Improvement Program under Grant No. P120A140051. Any opinions, findings,and conclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the Department of Education.BibliographyBauer, K., & Bennett, J. (2003
student’s self-efficacy and expectedacademic outcomes. Brown observed two key findings that should be noted here. First, theresearchers found that high school performance measures (i.e. GPA) appeared to have a moresignificant contribution towards predicting a student’s self-efficacy beliefs than academicaptitude measured by standardized test scores (z=15.16, p from http://www.engr.psu.edu/AWE/ARPresources.aspxRobbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261–288. https://doi.org/10.1037/0033-2909.130.2.261Sass, T. (2015, January). Understanding the STEM pipeline (Working Paper
-918.Eccles (Parsons), J., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., & Midgley, C. (1983). Expectations, values and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motivation. San Francisco: W. H. Freeman.Eccles (Parsons), J. (1984). Sex differences in mathematics participation. In M. L. Maehr & M. W. Steinkamp (Eds.), Women in science. Vol. 2. Advances in motivation and achievement. Greenwich, CT: JAI Press, Inc.Eccles, J. S. (1994). Understanding women's educational and occupational choices: Applying the Eccles et al. model of achievement-related choices. Psychology of Women Quarterly, 18, 585-609.Eccles, J.S. (2009). Who am I and what and I going to
general obstaclesplaced in high Reynolds number flows. The problems presented here would make for anexcellent interdisciplinary learning experience in such courses.Bibliography1. Mohammadzadeh, A. & Haidar, S., “Integral methods in solving governing partial differential equations in the undergraduate heat transfer course”, in Proceedings of the 2016 American Society for Engineering Education Annual Conference & Exposition, (ASEE paper ID 15166), June 2016 https://www.asee.org/public/conferences/64/author_index/272702. Incropera, Frank, P.; Dewitt, David, P., “Fundamentals of Heat and Mass Transfer, 4th. Edition”, J. Wiley, 1996.3. Kreith, Frank, Bohn, Mark,S., “Principles of Heat Transfer, 6th. Edition", Brooks/Cole, 2001.4. Arpaci
. Teacher participants were selected based on the quality of a statement of their interest inconducting research and participating in professional development, letters of recommendationfrom their principals, years of in-service teaching, the demographics of the students that theyteach, and the science subject(s) they teach. There were 11 teachers in the first cohort: 4 teacherswho participated in the program at TU and 7 teachers who participated at PU. Once the teachers had been accepted into the program, they were introduced (virtually) totheir resesearch advisors, with the intent of having some preliminary discussion about projectsahead of their arrival on campus. These discussions began about six weeks prior to the start ofthe on-campus
higher on all oral final exam questions,the peer evaluation, and the course project. Students in the second iteration also improved intheir ethical reasoning ability.Table 6. Objective assessment data for course measures of student learning. Course Percent Percent Desired Learning Attainment AttainmentAssessment Level of Outcome(s) - 1st - 2nd Attainment Met
-University: Missouri S&T10 Texas A&M11 University of Kansas13 Kansas State University14 Lincoln12 First Year Introduction to Mechanical Introduction to Mechanical Introduction to Mechanical Introduction to Mechanical Introduction to Mechanical Engineering Engineering Engineering Engineering Engineering Computer Applications in Engineering
], theChair of Scrap (see Appendix) asks the students to design a way to accommodate more studentsin the instructor’s office with only recyclable materials. Assigned on the first day of class anddue in just one week, students work feverishly to design and build some sort of chair or stool.Upon showing their designs proudly to the instructor, they are surprised to hear that they have allmade a crucial mistake. It is rare for any of the students to visit the instructor’s office or ask theinstructor or any students questions about what s/he wants in seating (i.e., they do not talk tousers or the client). While there are certainly barriers to a first-year student going to aninstructor’s office (e.g., it can be intimidating, they not be familiar with
(s) despite the shortened timeline. Second attempts (or firstre-takes) were administered in the immediate post-class window mentioned above. Frequently,students were able to leave those sessions knowing if their work that day met the standard or ifthey would need a third attempt. Between a first and second attempt, students were left to theirown devices to determine how to remediate their understanding. They were welcome to seekextra instruction, but not required to do so. Between the second and third attempt, however, theywere required to discuss their particular issues with the instructor before continuing the examcycle. Institutional administrative constraints prevented dis-enrolling students from the course fornot demonstrating required
process of identifying ways to formalizesuch contributions in the annual review summaries so that they can then constitute a specificexpectation(s) documented in personalized faculty position descriptions.7. Research in REDUsing a design-based implementation research (DBIR) approach18,19 implementation “problems”and “successes” provide important information for redesign and elaboration decisions. Ourongoing analyses are currently being used to inform design decisions. Development of the Podsprovides a good example of the DBIR process. By recruiting undergraduates in CBEE to helpdevelop the design approach, we were able to learn from them more specifically how Pods mightsupport students, both in terms of social and emotional well-being and
CAD software Collaboration Software Individual standard deviations are used to calculate the intervals. Figure 1: Perceived Efficacy with Software TypesTable 4 shows the number of participants who reported formal certification in some form ofsoftware. CAD software had the largest number of formally certified respondents. Four of thosepeople specified that their CAD certification is in SolidWorks (Certified SolidWorks Associate),and one person indicated s/he was an AutoCAD Certified
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 c American Society for Engineering Education, 2017 Paper ID #18616 Engineering Education ECE Distinguished Educator Award, 2015 IEEE Undergraduate Teaching Award
not for profit in Kansas City, in the late 90’s. She earned her M.S. in Youth Development from the University of Nebraska and her B.S. in Family Studies at Kansas State University.Dr. Walter C. Lee, Virginia Polytechnic Institute and State University Dr. Walter Lee is an Assistant Professor in the Department of Engineering Education and the Assistant Di- rector for Research in the Center for the Enhancement of Engineering Diversity (CEED), both at Virginia Tech. His research interests include co-curricular support, student success and retention, and diversity in STEM. Lee received his Ph.D in Engineering Education from Virginia Tech, his M.S. in Industrial & Systems Engineering from Virginia Tech, and his B.S. in
Dictionary. www.merriam-webster.com. Accessed 28 January 2017.8. Dictionary.com. www.dictionary.com/ Accessed 28 January 2017.9. Knowles, M. S. (1980). The Modern Practice of Adult Education: From Pedagogy to Andragogy (Revised and Updated). Cambridge, New York, NY.10. Taylor, B., and Kroth, M. (2009). Andragogy’s transition into the future: Meta-analysis of andragogy and its search for a measurable instrument. Journal of Adult Education, 38(1), 22– 42.11. Entwistle, N. J., and Peterson, E. R. (2004). Conceptions of learning and knowledge in higher education: Relationships with study behaviour and influences of learning environments. International Journal of Educational Research, 41(6), 407–428.12. Struyven, K., Dochy, F., Janssens, S
a greater impact to graduationrates online or off-line.References[1] I. F. Liu, Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C. H. , "Extending the TAM Model to Explore the Factors that Affect Intention to Use an Online Learning Community," Computers & Education, vol. 54, pp. 600-610, 2010.[2] M. Chmura, "Babson Study: Distance Education Enrollment Growth Continues," ed. Wellesley, MA: Babson University, 2016.[3] P. Blau, Inequality and Heterogeneity. New York, NY: Free Press, 1977.[4] S. B. Eom, Wen, H. J., & Ashill, N. , "The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation.," Decision Sciences Journal of
(2011, January). Afterschool innovations in brief: Focusing on middle school age youth. Report, Afterschool Alliance. 2. American Association of University Women (AAUW) (1992). How Schools Shortchange Girls. Emeryville, CA: Marlowe and Co. 3. Blank, S. (2013). Why the lean start-up changes everything. Harvard Business Review, May 2013, 3-9.4. Britner, S. L., & Pajares, F. (2006). Sources of science self‐efficacy beliefs of middle school students. Journal of Research in Science Teaching, 43(5), 485-499.5. Kerr, B. S. (1997). Smart Girls: A New Psychology of Girls, Women and Giftedness. Scottsdale, AZ: Gifted Psychology.6. Langdon, D.; McKittrick, G.; Beede, D.; Khan, B.; & Doms, M. (July 2011). STEM: Good jobs
(6):527-540.5. Jona K, Adsit J. Goals, guidelines, and standards for student scientific investigations. North American Council for Online Learning. 2008. http://www.inacol.org/.6. Lindsay E, Good MC. Effects of laboratory access modes upon learning outcomes. Education, IEEE Transactions on. 2005;48(4):619–631.7. Kable S. Advancing Science by Enhancing Learning in the Laboratory (ASELL) Final Report 2012. Sydney; 2012. http://www.olt.gov.au/system/files/resources/CG9_1049__Kable_ Report_2012.pdf.8. Nedic Z, Machotka J. Remote Laboratory NetLab for Effective Teaching of 1 st Year Engineering Students. International Journal of Online Engineering (iJOE). 2007;3(3).9. Lowe DB, Murray S, Weber L, et al
element), Multidisciplinary Perspectives (interdisciplinary element), and Interdisciplinary Integration (interdisciplinary element).Under each category, there is a set of questions for a total of 55 criteria. Each criterion was ratedon a scale of 1 (lowest) to 7 (highest) with interpretations provided to guide the ratings. There arepositive and negative elements under each criterion and users of the rubric are encouraged toreference a section(s) of the student’s work that exemplified the element when giving a score.Drawing on Disciplinary Sources as a category evaluated familiarity with the disciplines beingpresented in the research. Critical Argumentation evaluated understanding of the topic beingpresented and its importance
N000141512438.References[1] US Congress Joint Economic Committee, “STEM Education: Preparing for the Jobs of the Future,” 2012.[2] R. B. Freeman, “Does Globalization of the Scientific/Engineering Workforce Threaten U.S. Economic Leadership?,” in Innovation Policy and the Economy, 2005, no. Vol. 6.[3] A. Carnevale, N. Smith, and M. Melton, “STEM: Science Technology Engineering Mathematics.,” 2011.[4] The Organisation for Economic Co-Operation and Development, “THE OECD JOBS STUDY Facts , Analysis , Strategies (1994).,” 1994.[5] “The U. S. STEM Undergraduate Model,” Business-Higher Educ. Forum, 2013.[6] V. Bertram, “Better STEM Education with Project Lead the Way,” Manufacturing Net News, 2012.[7] J. P. Holdren and
are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] J. S. Shippmann, R. A. Ash, M. Batjtsta, L. Carr, L. D. Eyde, B. Hesketh, J. Kehoe, K. Pearlman, E. P. Prien, and J. I. Sanchez, "The practice of competency modeling," Personnel psychology, vol. 53, pp. 703-740, 2000.[2] B. J. Brummel, D. E. Rupp, and S. M. Spain, "Constructing parallel simulation exercises for assessment centers and other forms of behavioral assessment," Personnel Psychology, vol. 62, pp. 137-170, 2009.[3] D. E. Rupp, A. M. Gibbons, A. M. Baldwin, L. A. Snyder, S. M. Spain, S. E. Woo, B. J. Brummel, C. S. Sims, and M. Kim, "An Initial Validation of Developmental Assessment
Purdue, Civil EngineeringEducation Issues, pp 97-105.Dutson, A, Todd, R Magleby, S., and Sorenson, C. (1997) A Review of Literature on TeachingEngineering Design Through Project-Oriented Capstone Courses, Journal of EngineeringEducation, 86(1), pp 17-28.Griffin, P., Griffin, S. and Llewellyn, D. (2004) The Impact of Group Size and Project Durationon Capstone Design, Journal of Engineering Education, 93(3), pp 185–193.Hackbert, P.H. (2004) Building Entrepreneurial Teamwork Competencies In CollaborativeLearning Via Peer Assessments, Journal of College Teaching & Learning, 1(12), pp 40-52.Hanna, A. and Sullivan, K. (2005) Bridging the Gap between Academics and Practice: A CapstoneDesign Experience, ASCE Journal of Professional Issues in