: http://www.asee.org/public/conferences/20/papers/6134/download [Accessed Jan. 15, 2020][10] P. C. Blumenfeld, E. Soloway, R. W. Marx, J. S. Krajcik, M. Guzdial, and A. Palincsar. "Motivating project-based learning: Sustaining the doing, supporting the learning." Educational psychologist 26, no. 3-4 (1991): 369-398.[11] B. Stephanie. "Project-based learning for the 21st century: Skills for the future." The clearing house 83, no. 2 (2010): 39-43.[12] S. Hurtado , NL. Cabrera, MH Lin , L. Arellano, LL. Espinosa. Diversifying science: underrepresented student experiences in structured research programs. Res High Educ. 2009;50:189–214.[13] PW. Schultz, PR. Hernandez, A. Woodcock, M. Estrada, RC. Chance, M. Aguilar
-field- biomedical-engineering/ [Accessed: Dec. 30, 2019][3] Z. O. Abu-Faraj, “Career development in bioengineering/biomedical engineering: A student's roadmap,” in 30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada, August 20-24, 2008, pp. 1564-1567.[4] M. Anderson-Rowland, “Understanding freshman engineering student retention through a survey,” in Proc. ASEE Annual Conference and Exposition, Milwaukee, WI, 1997.[5] G. Lichtenstein, H. G. Loshbaugh, B. Claar, H. L. Chen, K. Jackson, and S. D. Sheppard, “An engineering major does not (necessarily) an engineer make: Career decision making among undergraduate engineering majors,” Journal of Engineering Education
information literacy program for first-year engineering students,” presented at the American Society for Engineering Education Annual Conference 2012, 2012, p. 12. [8] M. L. Strife, M. G. Armour-Gemmen, and R. A. M. Hensel, “Re-tooling information instruction delivery and assessment for the freshman engineering class: the good, the bad and the ugly,” presented at the 120th Annual ASEE Conference & Exposition, Atlanta, GA, 2013. [9] Association of College & Research Libraries (ACRL), “Framework for Information Literacy for Higher Education,” Association of College & Research Libraries (ACRL), 09- Feb-2015. [Online]. Available: http://www.ala.org/acrl/standards/ilframework. [Accessed:12-Dec-2019].[10] B. Quigley and J
datawhich are elements of authentic learning. This pedagogy allows the students to relate the mathand science concepts to engineering and real-life use.The effectiveness of the approach was assessed using a quasi-experimental within-subjectresearch design. The intervention was a week-long professional development workshop forteachers (Figure 1a) followed by a week-long summer camp for middle school students (Figure1b). The teacher professional development workshop included elements of best practices [23] i.e.(a) Content focus, (b) Active learning, (c) Collaboration, (d) Use of models and modeling, (e)Coaching and expert support, (f) Feedback and reflection. The teachers learned the basics ofphysics of flight, aircraft flight controls and practiced
. Haynes, D. Schowalter,“CONSERVATION OF ENERGY FOR CAMPUS BUILDINGS: DESIGN,COMMUNICATION AND ENVIRONMENTALISM THROUGH PROJECT BASEDLEARNING,” Paper presented at 2006 ASEE Annual Conference and Exposition, Chicago, IL,June 2006.[9] E. Constans, K. D. Dahm, K. Hollar, J. Kadlowec, A. J. Marchese, B. Sukumaran, C. Sun,and P. von Lockette, “The Sophomore Engineering Clinic I: Integrating Statics, Solid Mechanicsand Product Development in a Sophomore Level Design Course,” Paper presented at 2001 ASEEAnnual Conference and Exposition, Albuquerque, NM, June 2001.[10] K. D. Dahm and J. A. Newell, “Baseball Stadium Design: Teaching Engineering Economicsand Technical Communication in a Multi-Disciplinary Setting,” Journal of SMET Education:Innovations and
-technical employees (p≈ 0), business managers (p ≈ 0), clients (p ≈ 0), government (p ≈ 0) and the general public (p ≈0). The Likert-type scale distributions for both populations for these categories can be seen inFigure 1. Figure 1. Comparison of the Likert-type scale data distributions for freshmen and post-graduate employees describing frequency of interactions with different audiences (A: technical employees (same project area), B: non- technical employees, C: manager (business), D: client, E: government, F: general public).For technical employees, only 53% of freshmen expected that they would have interactions withengineers within their project area multiple times per day as opposed to 67% of post-graduateemployees. Similar
; Exposition, Tampa, Florida Jun 15-19, 2019, 26562. [Online]. Available: https://peer.asee.org/32782.[15] P. M. Secola, B. A. Smiley, M. R. Anderson-Rowland, and D. R. Baker, "Evaluating the Effectiveness of Gender Equity Training in Engineering Summer Workshops With Pre- College Teachers and Counselors " presented at the 2001 ASEE Annual Conference, Albuquerque, New Mexico Jun 24-27, 2001. [Online]. Available: https://peer.asee.org/9237.[16] G. Pfeifer and E. A. Stoddard, ""Equitable and Effective Teams: Creating and Managing Team Dynamics for Equitable Learning Outcomes" in Kristin Wobbe and Elisabeth A. Stoddard, eds. Beyond All Expectations: Project-Based Learning in the First Year," ed, 2019.
in the ways hands-on activities such as making, technology, and games can be used to improve student engagement.Dr. Amy F. Golightly, Bucknell University Amy Golightly is an associate professor of education at Bucknell University. She earned her B. A. in psychology from the University of Saint Thomas, and her Ph.D. in school psychology from the University of Iowa. Her main research interests lie in understanding factors that facilitate or hinder learning and conceptual change in undergraduate students, and in development of assistive technology to help college students with disabilities. She is currently involved in collaborative research projects focused on these topics in chemical and electrical engineering
and Control participants away from to move Minimum) for all cars (cumulative compared the control) from from for all cars) to control starting starting point to point to control) final position) Column A B C=A-B D E=D-B F=(E/C)100 CA Couple 59 20 39 26 6 15.4% Corporate 60 21 39
religion; and individual traits that helped studentssucceed despite social identity-related barriers. Faculty also emphasized the importance ofestablishing a culture of science. While STEM faculty felt supported by the institution, they alsoquestioned whether the administration fully recognized the unique needs of STEM faculty, staffand students.Introduction1.1 S-STEM BackgroundThe National Science Foundation (NSF) Scholarships in Science, Technology, Engineering, andMathematics (S-STEM) program supports academically talented students who are low-incomeand have financial need as defined within local institutional contexts [5], [6]. Program fundingcomes from monies allocated to NSF through the HI-B Visa program [7]. From its inception in1999 to
. Shannon, “Three approaches to qualitative content analysis.,” Qual. Health Res., vol. 15, no. 9, pp. 1277–88, Nov. 2005.[22] F. Marton, “Phenomenography--Describing Conceptions of the World around Us,” Instr. Sci., vol. 10, no. 2, pp. 177–200, 1981.[23] R Core Team, “R: A language and environment for statistical computing.” R foundation for Statistical Computing, Vienna, Austri, 2016.[24] C. Deasy, B. Coughlan, J. Pironom, D. Jourdan, and P. Mannix-McNamara, “Psychological distress and coping amongst higher education students: A Mixed method enquiry,” PLoS One, vol. 9, no. 12, p. e115193, 2014.[25] E. Godfrey and L. Parker, “Mapping the Cultural Landscape in Engineering Education,” J. Eng. Educ., vol
developing this understanding is supported by validThis ASEE paper will a) summarize the NOEK framework used to frame the VNOEK; b) instruments, the creation of which was the purpose of this work.describe the development of the VNOEK questionnaire; (c) discuss the validity and reliability ofthe VNOEK; (d) describe the participant groups in the validation study; and (e) discuss the use of Development of the Views about Nature of Engineering Knowledge (VNOEK)the VNOEK for work with K-16 teachers
the 2015 ASEE Annual Conference & Exposition, Seattle, Washington, 2015/06/14, June 2015. Available: https://peer.asee.org/24872[4] S. B. Velegol and S. E. Zappe, "How Does a Flipped Classroom Impact Classroom Climate?," presented at the 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016/06/26, June 2016. Available: https://peer.asee.org/25479[5] L. E. Sullivan-Green, R. Mathur, and A. H. Feinstein, "Flipping STEM Classrooms Collaboratively Across Campuses in California," presented at the 2017 ASEE Annual Conference & Exposition, Columbus, Ohio, 2017/06/24, June 2017. Available: https://peer.asee.org/28370[6] C. A. Aji and M. J. Khan, "Flipped Classroom and its Impact on
of Col- orado, Boulder. He has published over 90 manuscripts and 5 textbooks in the area of digital systems and engineering education. LaMeres has also been granted 13 US patents in the area of digital signal propa- gation. LaMeres is a member of ASEE, a Senior Member of IEEE, and a registered Professional Engineer in the States of Montana and Colorado. Prior to joining the MSU faculty, LaMeres worked as an R&D engineer for Agilent Technologies in Colorado Springs, CO where he designed electronic test equipment.Mrs. Elizabeth B Varnes, Montana State University After earning a BSEE from Clemson University, I worked for the Department of Defense for 11 years. During that time I earned a MS in Engineering
, vol. 92, no. 4,pp. 325-328, 2003/10/01 2003, doi: 10.1002/j.2168-9830.2003.tb00776.x.[4] ABET, “Criteria for Accrediting Engineering Programs, 2019 – 2020,” 2018. [Online].Available: https://www.abet.org/wp-content/uploads/2018/11/E001-19-20-EAC-Criteria-11-24-18.pdf [Accessed: 2-February-2019].[5] Wilson, S.A. "Understanding the gap between communication in the classroom andcommunication during an industrial internship." In Proceedings of the American Society forEngineering Education 2019 Annual Conference, Tampa, FL. (2019).[6] Howe, M. M., & Dwyer, K. K. (2007). The influence of diaphragmatic breathing to reducesituational anxiety for basic course students. Basic Communication Course Annual, 19(1), 9.[7] Rubin, R. B., Rubin, A. M
students will use a waterproof DROK B3950 temperature probe(rated for -25°C to 125°C), which utilizes an NTC thermistor for thermal sensing. Thermistors, aform of resistive temperature detector (RTD), are especially made to have a high sensitivity totemperature, as shown by the resistance/temperature lookup table for a B3950 thermistor inAppendix 6.1. This relationship, while nonlinear, can be modeled by using the Steinhart-Hartequation, which is given in Equation 1. In this expression, T is the measured temperature, R isthe resistance of the thermistor, and A, B, and C are constants. 1 = 𝐴 + 𝐵 ln(𝑅) + 𝐶 [ln(𝑅)]3 (1
Paper ID #29719Science Fiction as an Entry Point for Ethical Frameworks in Engineeringand Computer Science EducationDr. Valerie H. Summet, Rollins College Dr. Valerie Summet is an Assistant Professor of Computer Science at Rollins College, a liberal-arts school located in Winter Park, FL. Her research interests include human-computer interaction and CS education. She earned a BS in Computer Science from Duke University and an MS and PhD in Computer Science from the Georgia Institute of Technology.Prof. Rebecca A Bates, Minnesota State University, Mankato Rebecca A. Bates received the Ph.D. degree in electrical engineering
orientation to complete theTime 1 survey and class time to complete the Time 2 and Time 3 surveys. Results are based onresponses from 1,211 freshman engineering students across two Cohorts (i.e., years of entry intoengineering).Cohort A consisted of 448 respondents (37.0%). Cohort B included participants who entered asfreshmen the following school year and consisted of 763 respondents (63.0%). Participants werelargely male (70.9%) and either White (57.7%) or Hispanic or Latino (22.4%) with a mean ageof entry into undergraduate studies of 18.29 (SD = 1.42) years.MeasuresParticipation in professional development activities for fall and spring semester of participants’freshman year in college was assessed through self-report at the end of the freshman
Mechatronics, vol. 1, no. 1, pp. 5–9, 1996. [2] A. Birk, “What is robotics? an interdisciplinary field is getting even more diverse,” IEEE robotics & automation magazine, vol. 18, no. 4, pp. 94–95, 2011. [3] S. E. Lyshevski, “Mechatronic curriculum–retrospect and prospect,” Mechatronics, vol. 12, no. 2, pp. 195–205, 2002. [4] D. G. Alciatore and M. B. Histand, “Integrating mechatronics into a mechanical engineering curriculum,” IEEE Robotics & Automation Magazine, vol. 8, no. 2, pp. 35–38, 2001. [5] R. Manseur, “Development of an undergraduate robotics course,” in Proceedings Frontiers in Education 1997 27th Annual Conference. Teaching and Learning in an Era of Change, vol. 2. IEEE, 1997, pp. 610–612. [6] T.-R. Hsu
Paper ID #30724Foundations of Social and Ethical Responsibility Among UndergraduateEngineering Students: Overview of ResultsDr. Carla B. Zoltowski, Purdue University-Main Campus, West Lafayette (College of Engineering) Carla B. Zoltowski is an assistant professor of engineering practice in the Schools of Electrical and Com- puter Engineering and (by courtesy) Engineering Education, and Director of the Vertically Integrated Projects (VIP) Program within the College of Engineering at Purdue. She holds a B.S.E.E., M.S.E.E., and Ph.D. in Engineering Education, all from Purdue. Her research interests include the professional for
tasks,” in Frontiers in Education, 2006.[4] N. L. Larson, G. Hoffart, T. O’Neill, M. Eggermont, W. Rosehart, and B. Brennan, “Team CARE Model: Assessing team dynamics in first-year engineering student teams,” in American Society for Engineering Education, 2015.[5] T. A. Powers, J. Sims-Knight, R. A. Topciu, and S. C. Haden, “Assessing team functioning in engineering education,” in American Society for Engineering Education, 2002.[6] M. L. Loughry, M. W. Ohland, and D. J. Woehr, “Assessing teamwork skills for assurance of learning using CATME team tools,” J. Mark. Educ., vol. 36, no. 1, pp. 5–19, 2014.[7] A. Gonzalez and J. M. Millunchick, “Extracurricular engineering activities and student
Paper ID #30461Preparing the Future Workforce in Advanced Manufacturing: The Case ofSouth KoreaMr. Sang Hoo Oh, Florida State University Sang Hoo Oh is a Ph.D. student at the Florida State University School of Information. Sang Hoo is also a research assistant at the Florida State University Information Institute. Prior coming to the Florida State University, he received B.S. in Public Policy from Indiana University and M.S. in Information Systems form Yonsei University, South Korea. His research interests include advanced manufacturing, information policy, and big data.Dr. Marcia A. Mardis, Florida A&M University
in the industry.Dr. Senay Purzer, Purdue University-Main Campus, West Lafayette (College of Engineering) enay Purzer is an Associate Professor in the School of Engineering Education.Carolina Vivas-Valencia, Purdue University Carolina Vivas-Valencia is a Ph.D. student in the Weldon School of Biomedical Engineering at Purdue University, West Lafayette IN. Her research interests lie in simulation modeling and optimization in pop- ulation health, healthcare data analytics and outcomes research, community-based health operations re- search, and innovation education in engineering.Dr. LINDSEY B PAYNE, Purdue University-Main Campus, West Lafayette (College of Engineering) Dr. Lindsey Payne is a Director in the Office of
Paper ID #29496Lessons Learned from a Summer Bridger Research Partnership Between aCommunity College and a UniversityDr. Peter Golding, University of Texas at El Paso Professor in the Department of Engineering and Leadership at UTEP.Mrs. Helen Elizabeth Geller, University of Texas at El Paso and El Paso Community College Helen Geller is the Program Manager for the STEMGROW grant, funded by the Department of Education at the University of Texas at El Paso. Helen is also a biology instructor at El Paso Community College.Dr. Diane Elisa Golding, University of Texas at El Paso Diane is a passionate educator and proponent for K
pooledparameter estimate and standard error parameter for both steps can be seen in Table 2. In stepone, teaching support and chair support were entered into the regression equation. In step 2,teaching self-efficacy was entered into the regression equation such that the equation consistedof teaching support, chair support, and teaching self-efficacy. Step 1 of each analysis provided ananswer to question (1) above while step 2 provided an answer to question (2).Step one of the analysis indicated that teaching support significantly and positively predictedteaching satisfaction (b = .42, t = 3.80, p < .001), while chair support was not a significantpredictor of teaching satisfaction (b = .11, t = .93, p > .05). Combined, the two predictorsaccounted
," IFAC Proceedings Volumes, vol. 30, no. 6, pp. 89-99, 1997.[4] D. Bradley, "What is mechatronics and why teach it?," International Journal of Electrical Engineering Education, vol. 41, no. 4, pp. 275-291, 2004.[5] S. Boverie, D. D. Cho, H. Hashimoto, M. Tomizuka, W. Wei and D. Zühlke, "Mechatronics, robotics and components for automation and control: IFAC milestone report," in 17th IFAC World Congress (IFAC'08), 2008.[6] C. F. Auerbach and L. B. Silverstein, Qualitative Data: An Introduction to Coding and Analysis, New York: New York University Press, 2003.[7] N. L. Ramo, A. Huang-Saad and B. Belmont, "What is Biomedical Engineering? Insights from Qualitative Analysis of Definitions Written by Undergraduate Students," in ASEE
student opinions.Although each question is presented with its interpretation, comparing results with each other orprevious knowledge may lead to a deeper understanding of the subject. Since this study acts asthe first of many, the authors decided to present survey results and discuss future studies in theDiscussions section below. A B 1st Years 2nd Years 3rd Years 5th Years 0 5 10 15 20 251. Are you majoring in ID? (Select one)a. Yesb. NoThere were several students, who are not majoring in the ID program, participated in the study,and filled out the survey. Although instructions were to stop at this point, they filled out
, 2008.10. H. J. Shaw, “Food deserts: towards the development of a classification,” Geografiska Annaler: Series B, Human Geography, 88B(2), pp. 231–247, 2006.11. S. Cummins and S. Macintyre, “"Food deserts"--evidence and assumption in health policy making,” BMJ, 325(7361), pp. 436-8, 2002.12. Charles M. Tolbert and Molly Sizer, “US commuting zones and labor market areas: A 1990 update.” Economic Research Service, 1996.13. Laura Beamer and Marshall Steinbaum, “Unequal and Uneven: The Geography of Higher Education Access,” Phenomenal World, published by the Jain Family Institute, December 2019.14. Brandy Maki, Rebecca Bates, Andrew Hanegmon, Jennifer Karlin, and Cody Mann, “Just Deserts: Engineering for All, Everywhere,” Proceedings
(Figure 1). Figure 1: Workshop 3 Interactive Session.Each workshop concluded with a summary by the organizers of what was covered and learned.The schedule for workshop 3, shown below, was typical of all workshops in the series, althoughthe topics covered by the parallel sessions varied slightly among the workshops: 1. Introduction and Overview 2. Interactive parallel sessions I a. Mechatronic education knowledge base b. Robotics education knowledge base c. Project-based learning in Mechatronics and Robotics d. Advanced and open-source platforms for Mechatronics and Robotics 3. Report out I 4. Interactive parallel sessions II a. Reducing barriers to adoption b. Accreditation c. Preparation to teach
leadingto better or worse integration and performance. Hargrove and Burge [27] proposed a six-sigmamodel for improving retention. In these models, performance, psychological parameters, and theinstitutional environment are all utilized.Because we know that many factors are important for student retention, and that performance isspecifically predictive, in this paper we analyzed the students that were “at-risk” yet still capableof graduating: the students who received a C in engineering mathematics in their first semester.By narrowing the sample to C-students, we eliminated performance as a variable and were ableto investigate other non-cognitive factors more directly. At the J. B. Speed School ofEngineering at the University of Louisville, 34% of