technological and engineering literacy using multidimensional desktop virtual reality framework (Chandramoudi, M and G. R. Bertoline). Using heavy metal music to promote technological and socio-cultural understanding (Kirkmeyer, B. P) Using scale models to promote technological literacy (Loendorf, W.R., Geyer, T. L and D. C. Richeter). Gadget Avalanche. A technological literacy course for novice adults (Lichini-Colbry, K and D. Colbry). Information and communications technologies literacy of the University of Buenos Aires engineering students (Clua, O and M. Feldgen).Exhibit 1. The title of some of the papers presented at the Technological Literacy Division sessions at the2013 Annual Conference of the American Society for Engineering Education. A
attrition and contributing factors. International Journal of Engineering Education, 23, 929-940.[4] Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007). Grit: Perseverance and passion for long-term goals. Journal of Personality and Social Psychology, 92(6), 1087–1101.[5] Jaeger, B., Whalen, R., Payne, R., & Freeman, S. (2010, June 20–23). Successful students: Smart or tough? ASEE Annual Conference and Exposition, Louisville, KY.[6] Chen, J. C., McGaughey, K, J., Janzen, D. S., Teramoto Pedrotti, J., & Widmann, J. M. (2015, July 13–15). Grit and its role in achievement among engineering students. Presented at the Sixth
Technology in Education (ISTE). (2011). Computational Thinking Teacher Resources (Second ed.).Holsti, O. R. (1969). Content analysis for the social sciences and humanities.Jordan, B., & Henderson, A. (1995). Interaction analysis: Foundations and practice. The Journal of the Learning Sciences, 4(1), 39-103.Moore, T. J., Guzey, S. S., & Brown, A. (2014). Greenhouse design to increase habitable land: An engineering unit. Science Scope, 37(7), 51-57.Moore, T.J., Stohlmann, M.S., Wang, H.-H., Tank, K.M., Glancy, A. W., & Roehrig, G.H. (2014). Implementation and integration of engineering in K-12 STEM education. In J. Strobel, S. Purzer, & M. Cardella (Eds.), Engineering in precollege settings
a. Stakeholder engagement and community involvement 10 b. Corporate responsibilities c. Management, leadership and social networking Sustainability and EE: Definitions, frameworks and 9 economic development Exam 2 Total hours 45 Table IV. Attainment of course objectives for “Social, Ethical and Global Issues in Electrical Engineering” Assessment Question
feasibleconcepts for the software application to be developed. Each team would then submit a writtenproposal to their client for approval. The proposals were evaluated using the “Client: ProposalEvaluation Rubric.” Appendix B provides an example use of this rubric, containing the feedbackprovided to one of the programming teams. This rubric was used formatively, with teams notpermitted to go forth into the code development phase until they satisfactorily addressed alldesign-oriented shortcomings via submission of a revised proposal, which was also evaluated viaapplication of the Proposal Evaluation Rubric.For purposes of implementing a critical design review process, teams presented their applicationsin a science fair exhibition-type format, illustrated
Hyperloop Competition, and a topic-focused campus/off-campus groupfocused on the emerging area of “DYI Bio.”1. Duncan, A. Educating Every Student for College and Career Success. (2013). at 2. Obama, B. State of the Union 2016. (2016). at 3. Radcliffe, D. F. Innovation as a Meta-Attribute for Graduate Engineers. Int. J. Eng. Educ. 21, 194–199 (2005).4. Committee on the Engineer of 2020. Educating the Engineer of 2020: Adapting Engineering Education to the New Century. (The National Academies Press, 2005). doi:10.1115/ESDA2008-593245. Members of the National Academies. Rising Above the Gathering Storm, Revisited: Rapidly Approaching Category 5. (The National Academies Press, 2005). doi:10.5810/kentucky
value, to name a few. Similarly,in the calculus and above group, students get to pour liquids into geometrically shaped containersto observe related rates in action, use play dough to create volumes of revolution, and cutspherical coordinate shapes out of cantaloupe, oranges, and watermelons. A sample schedule ofdaily activities for the trigonometry and pre-calculus group can be found in Appendix A, and alink to the Math Jam Toolkit with best practices and more details about the program can befound in Appendix B.4. ResultsIn order for students to take major courses in engineering and other STEM fields, they mustsuccessfully complete college level math classes from trigonometry through calculus andbeyond. From previous studies, Math Jam has
://www.educationaldatamining.org/JEDM/index.php/JEDM[7] Pandey, U. K., & Pal, S. (2011). Data Mining: A prediction of performer or underperformer using classification.arXiv preprint arXiv:1104.4163.[8] Baradwaj, B. K., & Pal, S. (2012). Mining educational data to analyze students' performance. arXiv preprintarXiv:1201.3417.[9] Peña-Ayala, A. (2014). Educational data mining: A survey and a data mining-based analysis of recent works.Expert systems with applications, 41(4), 1432-1462.[10] Su, J. M., Tseng, S. S., Wang, W., Weng, J. F., Yang, J. T. D., & Tsai, W. N. (2006). Learning portfolioanalysis and mining for SCORM compliant environment. Educational Technology & Society, 9(1), 262-275.[11] Parack, S., Zahid, Z., & Merchant, F. (2012, January
Community College Completion Rates. Center onInternational Education Benchmarking: Learning from the World’s High Performing Education Systems.http://www.ncee.org/2013/05/statistic-of-the-month-comparing-community-college-completion-rates/)3. Olson, S. and D.G. Riordan. (2012) Engage to excel: Producing one million additional college graduates withdegrees in science, technology, engineering, and mathematics. Report to the President. Executive Office of thePresident, President’s Council of Advisors on Science and Technology: Washington, DC, USA.4. Leggett-Robinson, P., Mooring, S. and Villa, B. (2015) A 3+8 Model of Undergraduate Research for CommunityCollege STEM Majors. The Journal of College Science Teaching, Vol. 44, No. 4, March/April, 2015.5
. Pintrich, P. R. A Motivational Science Perspective on the Role of Student Motivation in Learning and Teaching Contexts. J. Educ. Psychol. 95, 667–686 (2003).18. Hagemeier, N. E. & Murawski, M. M. An instrument to assess subjective task value beliefs regarding the decision to pursue postgraduate training. Am. J. Pharm. Educ. 78, (2014).19. Artino, A. R. & McCoach, D. B. Development and Initial Validation of the Online Learning Value and Self- Efficacy Scale. J. Educ. Comput. Res. 38, 279–303 (2008).20. Garcia, T. & Pintrich, P. R. Assessing students’ motivation and learning strategies in the classroom context: The Motivated Strategies for Learning Questionnaire. Altern. Assess. Achiev. Learn. Process. prior
choices using elicited measures of expectations and counterfactuals. Journal of Econometrics, 166(1), 3-16.3. Seymour, E., & Hewitt, N. M. (2007). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview.4. Zhang, G., Thorndyke, B., Carter, R., Anderson, T. & Ohland, M. (2003, June), A Comparison of Demographic Factors and Academic Performances between Students Graduated in Engineering and Other Disciplines. Paper presented at the ASEE Annual Conference and Exposition, Nashville, TN. https://peer.asee.org/116915. Arcidiacono, P. (2004). Ability sorting and the returns to college major. Journal of Econometrics, 121(1), 343- 375.6. Zahorian, S.A., Elmore, M., & Temkin, K.J. (2013, June), Factors
. 18(4): 454-490.2. Auzenne, A. M, A. T. Hanson, R. B. Jacquez, and C. Burnham. Understanding engineering design as an argumentative strategy. Science, Engineering, & Technology Education Annual Conference. New Mexico State University, Las Cruces. 2006.3. Melander, JR, Curtis, E, Adams, KA, and Arthurs, L. A cross-disciplinary, service learning-based approach to enhance communication skills. Proceedings of the ASABE 2014 Annual International Meeting, Montreal, QC, CA, July 2014.4. Adams, KA and Keshwani, JR. Preparing pre-service teachers to make connections between science and engineering concepts through teamwork with engineering students. 2015. Proceedings of ASEE Annual Conference and Exposition, Seattle, Washington.5
Counseling Psycholy. 19, 551–554 (1972).7. Pajares, F. Exploratory factor analysis of the Mathematics Anxiety Scale. Measurement and Evaluation in Counseling and Development. 29, 35–47 (1996).8. Hoffman, B. ‘I think I can, but I’m afraid to try’: The role of self-efficacy beliefs and mathematics anxiety in mathematics problem-solving efficiency. Learning and Individual Differences. 20, 276–283 (2010).9. Suinn, R. & Winston, E. The mathematics anxiety rating scale, a brief version: Psychometric data. Psychological Reports. 92, 167–173 (2003).10. Sherman, J. & Fennema, E. The Study of Mathematics By High School Girls and Boys: Related Variables. American Educational Research Journal. 14, 159–168 (1977).11. Betz
Paper ID #16151Integrating STEM and Literacy through Engineering Design: Evaluationof Professional Development for Middle School Math and Science Teachers(Program/Curriculum Evaluation)Prof. Reagan Curtis, West Virginia University Reagan Curtis, Ph.D., is Professor of Educational Psychology and chair of the Department of Learning Sciences and Human Development at West Virginia University. He pursues a diverse research agenda in- cluding areas of interest in (a) the development of mathematical and scientific knowledge across the lifes- pan, (b) online delivery methods and pedagogical approaches to university instruction, and
blades andcomputational fluid dynamic (CFD) analysis. In this case study, 5ms-1 wind speed is used since itreplicates the wind conditions in the local regions of Georgia. In this research, final results showa comparison of the validation study and the experimental analyses at 5ms-1. Figure 1 shows thefinal computer aided 3-D model of the designed NREL VI geometric blade for test comparison. (a) (b) Figure 1: NREL Phase VI 3D geometric blade design; (a) Reverse isometric view of NREL CAD design. (b) Isometric view of NREL CAD design.The validation comparison is made between Normal Force Coefficient CN and the Non-dimensional Span at 5ms-1. Figure 2 shows the
entrepreneurial mindsetby the time students complete their programs. The instrument will be shared with otherengineering colleges.Biography1. Shartrand, A., Weilerstein, P., Besterfield-Sacre, M., & Olds, B. (2008) Assessing student learning in technology entrepreneurship. The 38th ASEE/ISEE Frontiers in Education Conference. Saratoga Springs, NY.2. Pittaway, L. & Hannon, P. (2009). Assessment practice in enterprise education. International Journal of Entrepreneurial Behavior and Research. 15(1): 71-93.3. Standish-Kuon, T., & Rice, M. P. (2002). Introducing engineering and science students to entrepreneurship: Models and influential factors at six American universities. Journal of Engineering Education. 91(1): 33-39.4. Bilen, S.G
understand how toseek assistance and navigate college campuses, are most likely persist to degree completion.Accordingly, this research seeks to examine a sample of non-traditional college students enrolledin science and engineering programs in four urban community colleges to determine (a) the typesand frequency of support practices they utilize, (b) how such practices influence theirachievement, persistence and transfer status to four year colleges and universities, and (c) how inturn their propensity for innovation and creative problem solving affects such choices andpersistence. The study analyzes the pedagogical practices—practices designed to fostersuccessful transfer from community college to four-year colleges and universities and
testing techniques.Bibliography[1] ABET “Criteria for Accrediting Engineering Programs,” http://www.abet.org/wp- content/uploads/2015/04/E001-14-15-EAC-Criteria.pdf , accessed Jan. 30, 2016[2] M. McCracken, V. Almstrum, D. Diaz, M. Guzdial, D. Hagan, Y. B.-D. Kolikant, C. Laxer, L. Thomas, I. Utting, and T. Wilusz, “A multi-national, multi-institutional study of assessment of programming skills of first-year CS students,” ACM SIGCSE Bulletin, vol. 33, no. 4, pp. 125–180, 2001.[3] R. S. Lemos, “Measuring Programming Language Proficiency,” AEDS Journal, vol. 13, no. 4, pp. 261–273, Jun. 1980.[4] M. J. Stehlik and P.L. Miller, “Implementing a mastery examination in computer science,” 1985, downloaded from
first semesterweekly meetings were held for F-VCPs to (a) learn about and discuss issues of student learningand implementation of research-based educational practices in their courses, and (b) plan theimplementation of the research-based educational practices appropriate for each participant. Inthe second semester of each cycle, F-VCP participants met on a semi-regular basis to supporteach other as they carried out their newly planned research-based educational approach in theircourse. Different research-based educational practices were covered and discussed in each F-VCP, at the discretion of the community leaders. Greater detail can be found in Authors (2016). F-VCP participants collaborated and developed their communities of practice
-for-univer-council.pdf?sfvrsn=23 Caribbean Science Foundation Projects: STEM Teacher Training Workshops Overview. Accessed January 25 th,2016 from http://caribbeanscience.org/projects/stem_teacher_training_workshops.php4 Reynolds, B., M.M. Mehalik, M.R. Lovell, and C.D. Schunn. 2009. Increasing student awareness of and interest inengineering as a career option through design-based learning. International Journal of Engineering EducationVolume 00, No. 0, pp. 1-11, 2009
Annual Conference, 2006.[15] R. H. McCuen and B. Yohe, “Engineering design for secondary education,” Journal of Professional Issues in Engineering Education and Practice, vol. 123, no. 4, pp. 135–138, 1997.[16] P. Deborah Besser, “Engineering in the k-12 classroom,”[17] B. Boettcher, B. Carlson, M. Cyr, and S. Shanbhag, “Engineering implementation in grades 6-12: Evaluation of the effectiveness of a workshop model,” in Proceedings of the 35th ASEE/IEEE Frontiers in Education Conference, 2005.[18] J. Keilman, “Coding education rare in k-12 schools but starting to catch on,” 1-2-2016.[19] I. Achieve, “Next generation science standards.”[20] M. Miller, N. Mahmoudian, M. Rastgaar, S. Ziaeefard, A.J. Patterson, J. Bailey, “ Adding
algorithms pertaining to the design; b) the software packagesneeded to develop and verify the correctness of the design; c) the specific hardware platform thatwill be used to implement the design in the hardware; d) the coding language and itsoptimization techniques; and e) understand the use of Intellectual property (IP) components thatcan be used to speed up the application development process.The organization of this paper is as follows. Section II provides an overview the studentpreparation process to help them successfully implement the design project. Section III providesa brief description of various edge detection algorithms. Section IV provides the main steps ofCanny edge detection algorithm. Section V provides a brief description of The
in STEM Programs through a Renewable Energy Research and Education Partnership with Five Minority Institutions”, Asiabanpour, B. (PI).17. Reenergize project website: http://reenergize.engineering.txstate.edu/ Appendix ISan Antonio College Re-Energize Project, Year 1 Results and Year 2 Proposals, PowerPointPresentation by Steven Lewis, Dan Dimitriu, and Klaus Bartels, September 18, 2015Global Population and Urban Dynamics
Books. 24. Finke, R.A., T.B. Ward, and S.M. Smith. (1992). Creative cognition: Theory, research, and applications. Cambridge, MA: The MIT Press. 25. Eberle, B. (1995). Scamper. Waco, Texas: Prufrock. 26. Altshuller, G. (1984). Creativity as an exact science. New York, NY: Gordon and Breach.27. Altshuller, G., (1997). 40 Principles: TRIZ keys to technical innovation. Worcester, MA: Technical Innovation Center, Inc.28. IDEO. (2002). IDEO Method Cards. Available from: http://www.ideo.com/work/method-cards/.29. Von Oech, R. (2003). Creative Whack Pack: Sixty four strategies to provoke and inspire your thinking. Stamford, CT: US Games Systems, Inc.30. Yilmaz, S., et al. (2010). A comparison of cognitive heuristics use between
test might perhaps help in understanding this relation better. For future research, it would be interesting to see the rate of improvement of spatial visualization skills those classified as having low spatial ability would have at the end of the semester after having been exposed to the formal training; while observing which learning style group makes the most gain. References1. Connolly, P. (2009). Spatial ability improvement and curriculum content. Engineering Design Graphics Journal, 73(1).2. Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York: Cambridge University Press.3. McGee, M. G. (1979). Human spatial abilities: Psychometric studies and
into components.The first module incorporates a learning algorithm which is responsible for the followingfunctions: • Determining a suitable path around the turbine blade using a mathematical model. See Figure 4. • Using a tracking algorithm to obtain expected positions of the drone at different times. • Determining position correction equations to account for wind gusts and unexpected drone movement. • Flying the drone using corrected equation around the turbine blade and capture images as required to construct an accurate 3D model.A student representation of the learning algorithm is shown in Figure 5. (a) Required Coordinate Systems (b) Helical Flight Path Figure
in student learning; and(3) students’ opinions on the online versus paper homework assignments.One limitation of the study is that the student perceptions data of online homework assignmentsprior to the course were not collected. Whether their perceptions were biased by theirexperiences over the course of the semester is thus unknown. Figure 1: Sample homework assignment question (a) (b) (c) Figure 2: Statistics of a sample homework assignment generated by the online analytical tools. 2(a) gives statistics of student progress in an assignment; 2(b) separates students in different performance
, IN June 20149. Huang, S., S. Levonisova, S. Streiner, S. Cunningham, G. Ragusa, M. Besterfield-Sacre, L. Shuman, C. Matherly, and D. Kotys-Schwartz, “Exploring Engineering Education in Broader Context: A Framework of Engineering Global Preparedness,” 2014 ASEE Annual Conference and Exposition, Indianapolis, IN June 2014.10. Salisbury, M. H., An, B. P. & Pascarella, E. T. The Effect of Study Abroad on Intercultural Competence Among Undergraduate College Students. J. Stud. Aff. Res. Pract. 50, 1–20 (2013).11. Murphy, D., Sahakyan, N., Yong-Yi, D. & Magnan, S. S. The Impact of Study Abroad on the Global Engagement of University Graduates. Front. Interdiscip. J. Study Abroad 24, (2014).12. Engberg, M
proposed messaging36.B. Implications for Graduate Engineering EducationThe differences between students across engineering disciplines in their employment of broaderimpacts and intellectual merit criteria indicate that each discipline has its own disciplinaryculture. Although few studies specifically study or report the disciplinary identities or visions forparticular engineering disciplines, we posit that a more thorough understanding of the ideologiesand disciplinary identities may help students select an engineering research discipline that fitstheir personal epistemologies regarding the purposes and impacts of engineering researchcareers. Although cutting-edge research is becoming increasingly inter- and multidisciplinary, itis important to
sessions include academic counseling, familiarizing students with sites and resourcesfor finding REU’s and internships, describing ECS collegiate societies and how to become amember, informing students about opportunities for research with faculty, attending conferences,enrolling in competitions, and learning about graduate school. Appendix A is an example of thecalendars we developed and shared with all SPARK faculty mentors that they could use to trackstudents’ engagement with various career opportunities. Appendix B is a questionnaire thatmentors used at the end of the first year to increase students’ familiarity with departmentalresearch and career ideas. Appendix C is a mentoring guide for helping the students identify theirstrengths and