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
. Description 2 0 Cannot draw a K-map U 1 Cannot draw correctly sized K-map 4 Draws a K-map but cannot place 1’s and 0’s correctly 5 Draws a K-map and fills in 1’s and 0’s correctly 6 Circles groups inside the K-map P5 P2 6 2 gate types, incomplete K-map D 7 Draws a circuit based on the incorrect groups Draws a circuit with only a single gate type but based 8 upon incorrect K-map
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
–76, 1998.7. Spencer B F and Nagarajaiah S. "State of the art of structural control." J. Struct. Eng. 129 845–56, 2003.8. Housner, G. W., Soong, T. T. and Masri, S. F. "Second generation of active structural control in civil engineering." Proc. 1st World Conf. on Structural Control pp 3–18, Pasadena California Panel, 1994.9. Ikago, K., Saito, K. and Inoue, N. "Seismic control of single-degree-of-freedom structure using tuned viscous mass damper." Earthquake Engng. Struct. Dyn., 41: 453–474. doi: 10.1002/eqe.1138, 2002.10. Ervasti, M., Dashti, S., Reilly, J., Bray, J. D., Bayen, A., and Glaser, S. "iShake: Mobile phones as seismic sensors-user study findings." Proc. 10th Int. Conf. Mobile and Ubiquitous Multimedia
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
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Homsher for championing the ideaand providing funding for the event.References [1] McIlwee, J. S. and Robinson, J. G., Women in engineering: Gender, power, and workplace culture. SUNY Press, 1992. [2] Lockwood, P., “Someone like me can be successful: Do college students need same-gender role models?,” Psychology of Women Quarterly, vol. 30, no. 1, pp. 36–46, 2006. [3] Rosenthal, L., London, B., Levy, S. R., and Lobel, M., “The roles of perceived identity compatibility and social support for women in a single-sex stem program at a co-educational university,” Sex Roles, vol. 65, no. 9-10, pp. 725–736, 2011. [4] Miyake, A., Kost-Smith, L. E., Finkelstein, N. D., Pollock, S. J., Cohen, G. L., and Ito, T. A., “Reducing the gender
, S. McCoid, T. Jenkins, and E. Livingston. Tackling engagement in computing with computational music remixing. in Proceeding of the 44th ACM technical symposium on Computer science education. 2013. ACM.8. McCoid, S., J. Freeman, B. Magerko, C. Michaud, T. Jenkins, T. Mcklin, and H. Kan, EarSketch: An integrated approach to teaching introductory computer music. Organised Sound, 2013. 18(02): pp. 146-160.9. Winters, D., Virtuous and Vicious Cycles. The Social State?, 2003: pp. 43.10. Sharan, S. and I.G.C. Tan, Student engagement in learning. Organizing schools for productive learning, 2008: pp. 41-45.11. Haraldsson, H.V., Introduction to systems and causal loop diagrams. System Dynamic Course
).3. Lopatto, D. Undergraduate Research Experiences Support Science Career Decisions and Active Learning. CBE Life Sci Educ 6, 297–306 (2007).4. Beninson, L. A., Koski, J., Villa, E., Faram, R. & O’Connor, S. E. Evaluation of the research experiences for undergraduates (REU) sites program. Council on Undergraduate Research Quarterly 32, (2011).5. Follmer, D. J., Zappe, S. E., Gomez, E. W. & Kumar, M. Preliminary evaluation of a research experience for undergraduates (REU) program: A methodology for examining student Outcomes. in 2015 122nd ASEE Annual Conference and Exposition, June 14, 2015 - June 17, 2015 122nd ASEE Annual Conference and Exposition: Making Value for Society, (American Society for Engineering Education
of semester was incorporated for development of a prediction tool. Linearregression analysis was incorporated to establish correlations between the early semesterperformance and the end-of-semester score as suggested in Equation 4. 𝑛 𝐹𝑖𝑛𝑎𝑙 𝑆𝑐𝑜𝑟𝑒 = 𝛼0 + ∑ 𝛼𝑖 𝐻𝑊𝑖 + 𝛽𝑀𝑇1 + 𝛾𝐵𝑄 (4) 𝑖=1Where 𝛼𝑖 , β and γ are the regression coefficients, 𝐻𝑊𝑖 s are the scores corresponding to each ofthe homework assignments, 𝑀𝑇1 is the score obtained from the first mid-term exam, and 𝐵𝑄 is thescore obtained from in-class performance, i.e. bonus questions.Initially, 80% of the available data points were randomly selected and used for
2015. Golden, CO: Colorado School of Mines.Eddy, S. L., Converse, M., & Wenderoth, M. P. (2015). PORTAAL: A Classroom Observation Tool Assessing Evidence-Based Teaching Practices for Active Learning in Large Science, Technology, Engineering, and Mathematics Classes. Cell Biology Education, 14(2), ar23-ar23. doi:10.1187/cbe.14-06-0095Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415. doi:10.1073/pnas.1319030111GORP Tool: UC Davis Center for Educational Effectiveness. (n.d.). Retrieved
technologybackgrounds, the corresponding outcomes areElectrical engineering technology:c. (E1) the ability to analyze, design, and implement control systems, instrumentation systems, communications systems, computer systems, or power systems;d. (E2) the ability to apply project management techniques to electrical/electronic(s) systems.Bioengineering technology:c. (B1) the ability to analyze, design, and implement bioengineering systems. 12ConclusionThis project is designed for senior students who have taken courses such as Electrical Machinesand Power Systems, Micro and Programmable Controllers, Design of Machine Elements,Computer-Aided Design and Manufacturing, and Control Systems as prerequisites. The