the WSU Voiland College of Engineering & Architecture, and the WSU GraduateSchool for support to enhance activities related to the effort. We also gratefully acknowledge supportfrom the WSU VCEA Machine Shop and 3-D printing facilities.Bibliography1. Brown S, Easley AP-W, Montfort DB, Adam JC, Van Wie BJ, Olusola A, Adam, Poor, C, Tobin, C, and Flatt, A, “Effectiveness of an interactive learning environment utilizing a physical model”. J. of Prof. Is. in Engr. Ed. & Pract., 140(3), 2014.2. Burgher, JK, Finkel D, Van Wie, BJ, Adesope, O, Brown, SA, Atkinson, JW, “New Hands-on Fluid Mechanics Cartridges and Pedagogical Assessment”, Proceedings of the American Society of Engineering Education, At- lanta, GA, June 23
programslike it have played a pivotal role in this trend.AcknowledgementsThe authors would like to express their gratitude to the National Science Foundation (awardnumber EEC-1263049) for supporting the SURE Robotics program.Bibliography 1. W.D. Compton, “Encouraging Graduate Study in Engineering,” J. Eng. Education, 249- 255, 1995. 2. R. Morley, J. Havick, and G. May, "An Evaluation of the Georgia Tech Summer Undergraduate Program of Research in Electrical Engineering for Minorities," J. Eng. Education, vol. 87, no. 3, July, 1998. 3. S. Russell, “Evaluation of NSF Support for Undergraduate Research Opportunities,” Draft Synthesis Report, SRI Project Number P16346, July, 2006. 4. S.H. Russell, M.P. Hancock, and M
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
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
perspective.” International Journal of STEM Education, 4(1), pp. 1-19.[4] S. Hug, E. Villa, P. Golding, and G. Gandara (2015). “Learning to learn: Creating engineering classrooms for deep understanding.” Frontiers in Education Conference (FIE), 2015. IEEE, pp. 1-5.[5] I. Boutet, M.-P. Vandette, and S.-C. Valiquette-Tessier (2017). “Evaluating the implementation and effectiveness of reflection writing.” The Canadian Journal for the Scholarship of Teaching and Learning 8(1), Article 8. http://ir.lib.uwo.ca/cjsotl_rcacea/vol8/iss1/8[6] S.B. Shum, Á. Sándor, R. Goldsmith, R. Bass, M. McWilliams (2017). “Towards reflective writing analytics: Rationale, methodology, and preliminary results.” Journal of Learning
. Tounderstand who may care about the same problem, they are asked to conduct interviews, whilebeing in an inquiry mode to explore whether the problem might be shared by others. This is afact-finding exercise, and not looking for confirmation of the original idea. Analysis of theresults of the interviews help determining how to procced. Students are asked to include thequestions and lessons learned during interviews in the User Innovation portfolio. This may leadto (often does) changes in both problem definition and suggested solution(s).Step 9 - Co-forming the problem:A fuller description of the innovation idea and plan is created in this step. This involvesimplementing a system for re-evaluating the innovation plan according to the new knowledgegained
, 2010.6. Science and Engineering Indicators 2012. National Science Board, 2012.7. Rising Above The Gathering Storm. National Academy of Sciences. 2007.8. Alexander, B.B., J.A. Foertsch, and S. Daffinrud, Spend a Summer with a Scientist program: An evaluation of program outcomes and the essential elements of success. Madison, WI: University of Wisconsin-Madison, LEAD Center, 1998.9. Russell, S., Evaluation of NSF Support for Undergraduate Research Opportunities, Draft Synthesis Report. SRI International, 1100 Wilson Boulevard, Suite 2800, Arlington, VA 22209-3915, 2006.10. Russell, S.H., M.P. Hancock, and J. McCullough, Benefits of Undergraduate Research Experiences. Science, 2007. 316: p. 548-549.11. Alexander, B.B., et al
: edms.asee.org13.Personal communication14.Bringle, R.G., M.A. Phillips, and M. Hudson. (2004). The Measure of Service Learning: Re- search Scales to Assess Student Experiences. American Psychological Association. Washing- ton, DC. 227 pp.15.Glemon, S.B., B.A. Holland, A. Driscoll, A. Spring, and S. Kerrigan (2001). Assessing Page 25.722.13 service-learning and civic engagement. Rhode Island Campus Compact. 154 pp.16.Thode, A.G., K.D. Landick, K.G. Paterson, and D.W. Watkins (2011). Analyzing Methods to Achieve Successful Development. International Journal for Service Learning in Engineering. 6(1):93-102.17.Creswell J.W. (2003). Research Design
also necessaryto adequately populate the database.The development team also learned about the availability of assessment instruments for use inthe engineering education community. As shown in Tables A1-A6, information could be locatedfor several attitudinal measures. Many instruments were also easily identified for assessingknowledge, behaviors, and professional skills. Fewer instruments were located for assessing thelearning environment or using institutional data to measure various outcomes. One trend thatoccurred in the early 1990’s and 2000’s was the development of numerous concept inventoriesintended to improve classroom teaching and learning. During this time, the need for valid andreliable measures, and the understanding of reliability
research.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2046233. 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 National ScienceFoundation.References[1] J. B. Freeman, "Measuring and resolving LGBTQ disparities in STEM," Policy Insights from the Behavioral and Brain Sciences, vol. 7, no. 2, pp. 141-148, 2020, doi: 10.1177/2372732220943232.[2] A. Mattheis, D. C.-R. De Arellano, and J. B. Yoder, "A model of queer STEM identity in the workplace," J. Homosex., pp. 1-25, 2019, doi: 10.1080/00918369.2019.1610632.[3] C. A. P. Cass, Z. Hazari, J. Cribbs, P. M. Sadler, and G
is professor and Director in the School of Engineering + Technology at Western Carolina University in Cullowhee, NC. He earned his bachelors degree from the University of Texas at Austin, masters degree from Penn State, and PhD from Georgia Tech, all in Mechanical Engineering. Dr. Stone combines 9 years of industry experience at General Electric with his 22 years teaching in Engineering to pursue his interests in Lean Six Sigma and outdoor gear design and testing. ©American Society for Engineering Education, 2024 Fostering Leaders in Technology Entrepreneurship (FLiTE): Second Year ProgressThe NSF S-STEM-funded program titled Fostering Leaders in Technology
, benefiting and aspiring REUprincipal investigators, grant administrators, and a broader range of researchers.AcknowledgementThe authors acknowledge the support by the NSF Award #2051113.SupplementsFigure S1 illustrates clusters of REU research topics based on keyword phrases extracted fromtitles and abstracts while Figure S2 shows clusters of research topics based on keywords, titles,and abstracts from WoS literature.Figure S1. REU topic clusters based on keywords extracted from titles and abstracts.Figure S2: WoS topic clusters based on keywords, titles, and abstracts.References[1] S. H. Russell, M. P. Hancock, and J. McCullough, "Benefits of undergraduate research experiences," Science, vol. 316, no. 5824, pp. 548-549, 2007.[2] D
: a generalprofessional category and a scientific professional category. The former would focus on morepractical applications to meet the needs of industry and the latter would be centered on mathand science geared towards careers in design, research, and development. The engineeringfaculty who reviewed the preliminary report rejected this proposal, and the consensus was thatall engineering curricula should incorporate strengthened basic science content. Despite therejection of this proposed bifurcation by the engineering community, many universities beganexpanding their existing two-year technology programs into four year engineering technologydegree programs in the mid-1950’s in response to a need for more practically trained graduateswho
Paper ID #41350Board 382: Social and Cultural Activities Integrated into International ResearchExperiences for an Undergraduates Program in the Czech RepublicDr. Todd Jeffrey Freeborn, The University of Alabama Todd Freeborn, PhD, is an associate professor with the Department of Electrical and Computer Engineering at The University of Alabama with an active interest in engineering education. He has been the PI of multiple education/research focused grants from the REU, RET, IRES, DUE, and S-STEM programs of the National Science Foundation (NSF). Beyond the education focused efforts, his research explores techniques to
Engineering from the University of Illinois, and a Doctorate from the University of Texas at Austin. After receiving her PhD, she spent two years as a post-doctoral researcher at the Karlsruhe Institute of Technology in Germany. Her academic career began in 1994 when she became an Assistant Professor at the University of Wisconsin-Madison. In 1999, she accepted a position in the Mechanical Engineering Department at Virginia Tech where she was promoted to Professor in 2003 and was recognized as the William S. Cross Professor of Mechanical Engineering in 2005. In 2006, she was appointed and continues to hold the position of Head of the Department of Mechanical and Nuclear Engineering at The Pennsylvania State University
Association 104(6), 44-57.11 Water and wastewater treatment plant and system operators. (2012, March 29). Retrieved from Page 23.1360.11http://www.bls.gov/ooh/production/water-and-wastewater-treatment-plant-and-system-operators.htm12 Frangione, C. S., & Good, J. (2007). Survey finds that lack of operator certification reciprocity hinders the staffingof operations. Weftec. Retrieved from http://www.workforwater.org/WorkArea/linkit.aspx?LinkIdentifier=id
students to perform statistical analysisand data visualization and to use EXCEL spreadsheets for data representation and calculations.While Module 2 does not cover errors in measured data, the other two modules do address thistopic. In the next stage of the module development process, we plan to compare how each course-specific module covered topics such as errors in measured data.Table 6. Example Teaching Modules Module Module 1 (Monitoring Module 2 (Engineering Module 3 (Engineering Tool Topic and Analysis of the Hydrology) Hydrology) Environment) Module Errors in measured Visualization and Errors in measured data, Topic(s) data, Statistical
-generation students (LIFGs) can contribute to US engineering problem definition and solving”.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.Bibliography 1. Strutz, M. L., Orr, M. K., & Ohland, M. W. 2012. “Low Socioeconomic Status Individuals: An Invisible Minority in Engineering.” In C. Baillie (Ed.), Engineering and Social Justice: In the University and Beyond (pp. 143-156). Purdue University Press. 2. Ohland, M. et al. 2012. Viewing Access and Persistence in Engineering Through a Socioeconomic Lens. In C. Baillie (Ed.), Engineering and Social Justice: In the University and
Academy of Engineering Distinguished Visiting Fellow at Loughborough University (UK), as a Nokia-Fulbright Fellow at the Helsinki University of Technology, and as an Erskine Fellow at the University of Canterbury (NZ). Other positions have included periods at Delphi Engineering (NZ) and IBM-Endicott (NY), industrial consulting, and as a Senior Technician at the U of S. Jim is an IEEE Life Fellow and an IEEE Components, Packaging, & Manufacturing (CPMT) Society Distinguished Lecturer. He has served as CPMT Treasurer (1991-1997) and Vice-President for Conferences (1998-2003), and cur- rently sits on the CPMT Board of Governors (1996-1998, 2011-2016) and the Oregon joint CPMT/CAS Chapter Exec and chairs the CPMT
help. In addition, in versions of the oral exams that wereintended to give the students extra credit, students found that having a second chance to provetheir knowledge increased their motivation to learn. This highlighted to them that the class wasabout increasing their knowledge rather than penalizing them for their mistakes. D. Did oral exams increase students' understanding of the subject matter?In the end-of-quarter survey, students were asked whether they believe the oral exams increasedtheir understanding of the subject matter. Overall, the majority of students found the oralassessment(s) increased their understanding of the subject matter. 72.1% of the valid responsesanswered “agree/strongly agree” to the prompt, while nearly 21.4
course, theprimary source for the students was the text Science for Potters [3].The open-ended nature of the problem statement provides the teams of students the opportunity tocreate a diverse array of products that can be created from the local minerals. These can be seenby the wide range of products created by the MET 352 teams in the Spring of 2022. In Figure 1,the design competition winners can be seen, a metric based on scientific merit and creativity wasutilized to determine the winner(s), see Table 2. Table 2: MET 352 Principles of Metallurgical Design Project Competition Rubric Creativity and Originality Score Comments Proper labeling: type of
, no. 1, pp. 1–12, 2013.[9] S. Douglas, “The infinity project: Digital signal processing and digital music in high school engineeringeducation,” in Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio andAcoustics (Cat. No. 01TH8575). IEEE, 2001, pp. 1–6.[10] B. Britsch, K. Peterson, and R. Marra, “The national girls collaborative project: Building capacitythrough collaboration,” Women in Engineering ProActive Network, 2008.[11] Z. Krayem, A. Kelly, M. Bugallo, D. Westerfeld, R. Gearns, and K. Westervelt, “Precollege electricalengineering outreach: The design of a home security system,” in Proceedings of the 2018 American Societyfor Engineering Education Annual Conference & Exposition (ASEE), 2018.[12] Z
in the classroom to more stable levels. Future research should investigate these effectsin a broader range of classrooms within engineering and across related STEM disciplines.Evaluating engagement at a fine-grained level (by TA and by course) provides an opportunity toreduce confounding effects and illuminate distinct effects of faculty vs. TA support in largecourses.AcknowledgmentsThe author would like to gratefully acknowledge the National Science Foundation for theirsupport of this work (DUE grant number 1504618). Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation. The author would also like to thank
determine word relevance in document queries. In Proceedings of the first instructional conference on machine learning.Schellings, G., & Van Hout-Wolters, B. (2011). Measuring strategy use with self-report instruments: theoretical and empirical considerations. Metacognition and Learning, 6(2), pp. 83-90.Sultana, F., Charles, S., & Govardhan, A. (2012). Spam comment detection in blog comments from blog rss feed by modified TF-IDF algorithm. International Journal of Engineering Science and Technology, 4(3).Tarricone, P. (2011) The Taxonomy of Metacognition. New York, NY: Psychology Press.Van Hout-Wolters, B. (2000). Assessing active self-directed learning. In R. Simons, J. van der Linden, & T. Duffy (Eds
second choices, nearly a fourth of the students ranked it theirlast choice.A second question asked: When you do not understand a concept in one of your math, science orengineering courses, what reason(s) would cause you not to seek assistance? (For example: Areyou too busy? Are you uncomfortable in asking questions of the instructor? Do you figure it isan unimportant question?) The responses to this question were reviewed to find the frequencyof various themes. Table 2 collects the common themes and counts their frequency. A givenresponse from a student could contain multiple themes. Theme Counts Time / Too busy 16
hoc analysis of the results obtained when applyingthis strategy to existing student submission data. This allows us to investigate what feedback orboosters would have been earned by individual students in a real-life situation to validate thefeedback design before live deployment.Related WorkRewards, Operant Conditioning, and Intrinsic MotivationApplying rewards to increase student motivation has been widely researched in areas includingpsychology, education, and video games 1 2 17 . In 1940’s, Skinner formed the theory of operantconditioning to explain how a behavior can be shaped by its resulting consequences 15 . Bystudying the behavior of animals in experiments, Skinner formulated the underlying ideas ofpositive and negative reinforcement
Conference on Mathematics Education in a Global Community, Palermo, Italy, 2007.11. Allen, K., The Statistics Concept Inventory: Development and analysis of a cognitive assessment instrument instatistics (Doctoral dissertation), SSRN Electronic Journal, 2006, doi:10.2139/ssrn.213014312. Wilcox, B., Caballero, M., Baily, C., Sadaghiani, H., Chasteen, S., Ryan, Q., and Pollock, S., “Development anduses of upper-division conceptual assessments”, Phys. Rev. ST Phys. Educ. Res. 11, 020115 – Published 23September 2015, http://journals.aps.org/prstper/pdf/10.1103/PhysRevSTPER.11.02011513. Streveler, R., Miller, R., Santiago-Roman, A., Nelson, M., Geist, M., and Olds, B., “Rigorous Methodology forConcept Inventory Development: Using the 'Assessment Triangle
, "Competency assessment: methods for development and implementation in Nursing education," The Online Journal of Issues in Nursing, September 30, pp. 1-7.10. Voorhees, R. A., 2001, "Competency-based learning models: a necessary future," New Directions for Institutional Research, No. 110, Summer, pp. 5-13. 11 11. Jiang, M., Parent, S., and Eastmond, D., 2006, "Effectiveness of web-based learning opportunities in a competency-based program," International Journal of E-learning, 5(3), pp. 353-360.12. Wood, D., Bruner, J. S., and Ross, G., 1976, "The Role of Tutoring in Problem Solving*," Journal of Child Psychology and Psychiatry, 17(2), pp. 89-100.13. Jones, E.A., and Voorhees, R.A., 2002