described in this paper, we devised special courseassignments: we gave a group problem to the students in a given course on the first day of classand organized students in groups of three or four, depending on the size of the class. Groupingsof students were alphabetical, based on the first letter of their last names. The student at the topof each grouping was designated the convener and leader of the group. Students were asked tomeet weekly and work collaboratively to solve the assigned problem(s) as a group and to submitone report of their work as a group on the last day of class, which is about one week before theday of the final exam. This report was worth 10% of the course grade. Students were encouragedto collaborate on other assignments, as
understanding of building automation, IoT, the engineering design process, andengineering careers.The S-STEM survey consists of 37 items. It is a five-point Likert-scale instrument that wasdeveloped to capture students’ attitudes toward science, math, engineering/technology, and21st century skills [18]. In the present study, the survey questions that measure students’attitudes toward science, math, and engineering/ technology concepts were utilized.Students’ responses to those questions were analyzed.ResultsAt the completion of the summer camp, evaluative feedback was collected from theparents regarding their knowledge and understanding related to building automation,Internet of Things, the engineering design process, and engineering careers
ofengineering education that benefit from makerspace projects. As we continue to survey studentsin makerspaces, we hypothesize that our results will adjust to give us a richer view of the impactmakerspace use has on individual’s education throughout their undergraduate studies.References 1. American Society for Engineering Education. (2016). Envisioning the Future of the Maker Movement: Summit Report. Washington, DC: American Society for Engineering Education. 2. Barrett, T. W., & Pizzico, M. C., & Levy, B., & Nagel, R. L., & Linsey, J. S., & Talley, K. G., & Forest, C. R., & Newstetter, W. C. (2015, June). A Review of University Maker Spaces. Paper presented at 2015 ASEE Annual Conference &
engineering. Proceedings of the National Academy of Sciences, pp. 4988–4993, 2015.[7] P. G. Davies, S. J. Spencer, D. M. Quinn, and R. Gerhardstein. Consuming Images: How Television Commercials that Elicit Stereotype Threat Can Restrain Women Academically and Professionally. Personality and Social Psychology Bulletin, 28(12):1615–1628, 2002.[8] J. D. Finn. Withdrawing From School. Review of Educational Research, 59(2):117–142, 1989.[9] C. Good, A. Rattan, and C. S. Dweck. Why do women opt out? Sense of belonging and women’s representation in mathematics. Journal of Personality and Social Psychology, 102(4):700–717, 2012.[10] C. Goodenow. The psychological sense of school membership among adolescents: Scale development and educational
. (2010). Self-efficacy in female and male undergraduate engineering students: Comparisons among four institutions. In: 2010 American Society of Engineering Education Southeast Section Conference. Blacksburg, Virginia. 5. Business Higher Education Forum. (2010). Increasing the number of STEM graduates: Insights from the U.S. STEM education and modeling project. 6. Ceci, S. J., Ginther, D. K., Kahn, S., Williams, W. M. (2014). Women in Academic Science: A Changing Landscape. Psychological Science in the Public Interest, 15(3), 75-141. 7. Creamer, E. G. (2012). American Journal of Engineering Education—Spring 2012, 3(1), 1-12. 8. Engineering Workforce Commission. (2011). Undergraduate enrollment in engineering
encouraging me to go to college. 3 My friends plan on going to 12 9 4 4.32 college. 4 17 6 1 4.48 I enjoy school. 5 21 4 4.84 My teacher(s)/counselor(s) care if I go to college. 6 I am interested in a specific 13 3 8 1 4.12 college(s).7 I have a specific career 6 10 8 1 3.84 goal(s).8 I am interested in a
Variable Mean StDev N P os t-Ex am 86.44 11.69 9 0.030 P re-Ex am 73.22 13.20 9 0.025 De n s i t y 0.020 0.015 0.010 0.005 0.000 50 60 70 80 90 100 110 Grades Figure 3- Fitting the Pre & Post Exam Grades into Normal DistributionsTo verify and validate these findings, a thorough
perception of increased time to graduation as a deterrent from participating. Ourresults have implications for students, employers, institutions, educators, and program Page 26.140.11administrators. By providing stakeholders with valuable insights, co-op research reaches beyondacademia, making industry and classrooms more inclusive and effective.References[1] Grayson, L. P., The making of an engineer : An illustrated history of engineering education in the united states and canada, New York: Wiley, 1993.[2] Wankat, P. C., Felder, R. M., Smith, K. A., and Oreovicz, F. S., "The scholarship of teaching and learning in engineering
. Page 26.1658.12ReferencesAnthony, S., Johnson, M. W., Sinfield, J., & Altman, E. (2008). The innovator’s guide to growth: Putting disruptive innovation to work. Boston, MA: Harvard Business Review Press.Bilen, S. G., Kisenwether, E., Rzasa, S. E., & Wise, J. C. (2005). Developing and assessing students’ entrepreneurial skills and mind-set. Journal of Engineering Education, 94(2), 233–243.Blank, S., & Dorf, B. (2012). The startup owner’s manual: The step-by-step guide for building a great company. Pescadero, CA: K & S Ranch.Christensen, C. (1997). The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business Review Press.Duval-Couetil, N., Gotch, C. M., & Yi, S. (2014). The
thisevent came, in part, from Suffolk’s partners in the power industry who are in need of recentgraduates to replace their aging workforce, and from the knowledge that new and renewablesources of electric power are becoming more important, and that the current aging system ofpower generation and delivery needs to be overhauled. This event is part of an NSF S-STEMgrant awarded on January 1st 2014 to Suffolk’s EE program to encourage students from BostonPublic High Schools, who are predominantly from underrepresented groups, to study EE and tobe exposed to the power industry. The event was held the day after spring semester finalexaminations, allowing Suffolk EE students to present demos of renewable electricitygeneration, to lead high school
and collaborative innovation.AcknowledmentThis material is based upon work supported by the National Science Foundation under Grant No.EEC-1329224. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References [1] W. Clough, “The engineer of 2020: Visions of engineering in the new century”. Washington, DC: National Academies Press. 2004[2] G. Hofstede, “Cultures and organizations: Software of the mind: Intercultural cooperation and its importance for survival,” London: Profile, 2003.[3] G. Hofstede, “Dimensions do not exist: A reply to Brendan McSweeney,” in Human Relations, vol. 55(11), 2002
morecomparative analysis of what experiences are the most beneficial.AcknowledgementsThis work was supported in part by NSF Grant#EEC-1424444. We would like to thank ourinformants for participating in the field studies reported here. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References1. ABET. (2011). Criteria for Accrediting Engineering Programs – Program Outcomes and Assessment. Baltimore, MD: Accreditation Board for Engineering and Technology.2. ASEE (2012). Innovation with Impact: Creating a Culture for Scholarly and Systematic Innovation in Engineering Education. Leah H. Jamieson and Jack R
multi-function digital device. TheNational Instruments (Austin, TX) myDAQ is very compact and portable so students can extendhands-on learning outside of the lab environment using industry-standard tools and methods(Figure 2). The NI myDAQ includes two analog inputs and two analog outputs at 200 kS/s and 16bits, allowing for applications such as sampling an audio signal; eight digital inputs and outputlines, providing power for simple circuits with +5, +15, and -15 volt power supplies; and a 60 VDMM to measure voltage, current, and resistance. Figure 2. National Instruments MyDAQ Multifunction device (Courtesy: NI.com).Measuring Time Constants for Various Temperature SensorsSystem response is often a very important process in
clients and stakeholders. By positioning students as experts and by explicitlyacknowledging their linguistic repertoires as assets, engineering teachers may enact educationthat is more responsive to and affirming of linguistically diverse students. 11 References[1] Atman, C. J., Adams, R. S., Cardella, M. E., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison of students and expert practitioners. Journal of Engineering Education, 96, 359- 379.[2] Fosmire, M., & Radcliffe, D. (Eds.). (2014). Integrating information into the
status,” Journal of Science Education and Technology, vol. 18, pp. 163-172, 2009.[3] C. Adelman. Women and Men of the Engineering Path: A Model for Analyses of Undergraduate Careers. Washington, DC: US Government Printing Office, 1998.[4] S. Bhatia and J. P. Amati, “’If these women can do it, I can do it, too’: Building women engineering leaders through graduate peer mentoring,” Leadership and Management in Engineering, vol. 4, pp. 174-184, 2010.[5] C. Poor and S. Brown, “Increasing retention of women in engineering at WSU: A model for a women's mentoring program,” College Student Journal, vol. 3, 421-428, 2013.[6] B. Sattler, A. Carberry, and L. D. Thomas, “Peer mentoring: Linking the value of a
:10.1002/job.430[4] C.-P, Lin, & Y. -F. Chen. Modeling Team Performance. Journal of Leadership & Organizational Studies. 2015; 23(1), 96–107.doi:10.1177/1548051815616252[5] L. Melita Prati, C. Douglas, G. R. Ferris, A. P. Ammeter, M. R. & Buckley. Emotional Intelligence, Leadership, Effectiveness, and Team outcomes. The International Journal of Organizational Analysis, 2003; 11(1), 21–40.doi:10.1108/eb028961.[6] J. Fransen, P. A. Kirschner, & G. Erkens. Mediating team effectiveness in the context of collaborative learning: The importance of team and task awareness. Computers in Human Behavior, 2011;27(3), 1103–1113.doi:10.1016/j.chb.2010.05.017[7] S. Mohammed, B. C. Dumville. Team mental models in a team knowledge
settings to generalize our findings, identifyingwhich SE principles may be most effective, and investigating the role of previous SE education inmultidisciplinary course outcomes.References [1] George Vachtsevanos [et. Intelligent fault diagnosis and prognosis for engineering systems. John Wiley & Sons, Hoboken, N.J., 2006. [2] Armando Rugarcia, Richard M Felder, Donald R Woods, and James E Stice. The future of engineering education i. a vision for a new century. Chemical Engineering Education, 34(1):16–25, 2000. [3] Tim King. Millwrights to mechatronics: The merits of multi-disciplinary engineering. Mechatronics, 5(2): 95–115, March 1995. [4] M B Manju, K S Nikhil, D Nishanth, K S Sai Vignesh, B S Anupama, and Madhav Murthy
Medicine, How People Learn II: Learners, Contexts, and Cultures, Washington, DC: National Academies Press, 2018.[11] K. D. Tanner, "Promoting Student Metacognition," CBE-Life Sciences Education, vol. 11, pp. 113-120, 2012.[12] G. Schraw, K. Crippen and K. Hartley, "Promoting self-regulation in science education: metacognition as part of a broader perspective on learning," Research in Science Education, vol. 36, pp. 111-139, 2006.[13] T. D. Baird, D. J. Kniola, A. L. Lewis and S. B. Fowler, "Pink Time: Evidence of self-regulated learning and academic motivation among undergrduate students," Journal of Geography, vol. 114, no. 4, pp. 146-157, 2015.[14] A. Bandura, "Self-efficacy: toward a unifying theory of behavioral change
, HassanBadkoobehi, Laith Al Any, Jay Dey, and many others for their suggestions, encouragements,cooperation, and/or help during the preparation of this paper.REFERENCES[1] Ainsworth, S., (2006). DeFT: A conceptual framework for considering learning with multiple representations. Learning and Instruction, 16, 183-198.[2] Bailey, T., Jenkins, D., & Leinbach, T. (2005). Community college low-income and minority student completion study: Descriptive statistics from the 1992 high school cohort. New York: Columbia University, Teachers College, Community College Research Center.[3] Braude, E., Bernstein, M. Software Engineering: Modern Approaches, (2nd Edition), John Wiley & Sons, 2011.[4] Brenner, M.E., Brar, T., Duran
,Washington, DC, 2010, p. F4H–1.[8] Morozov, D. Kilgore, and C. Atman, “Breadth in design problem scoping: Using insightsfrom experts to investigate student processes,” in ASEE Annual Conference and Exposition,Honolulu, HI, 2007.[9] S. Ingram and A. Parker, “The influence of gender on collaborative projects in an engineeringclassroom,” IEEE Trans. Prof. Commun., vol. 45, no. 1, pp. 7–20, 2002.[10] T. C. Brown and G. P. Latham, “The effects of behavioural outcome goals, learning goals,and urging people to do their best on an individual’s teamwork behaviour in a group problem-solving task.,” Can. J. Behav. Sci. Can. Sci. Comport., vol. 34, no. 4, p. 276, 2002.[11] C. O. L. H. Porter, “Goal orientation: Effects on backing up behavior, performance
theoretical satisfaction 2 • σnum - (normalized) variance in number of students per group, 2 • γ1 - weight of σnum ’s contribution to the fitness, 2 • σgpa - (normalized) variance in average GPA per group, 2 • γ2 - weight of σgpa ’s contribution to the fitness,and the maximum theoretical satisfaction smax are calculated assuming that every student wasplaced at their most preferred project, i.e., the sum of the highest bid from each student.We use a genetic algorithm (GA) to solve this optimization problem, which is an example of ablack-box optimization technique that comes from a broader class of algorithms calledevolutionary algorithms. GAs, first introduced by John Holland in 1970 11 , use
] S. L. Beilock, E. A. Gunderson, G. Ramirez, and S. C. Levine, “Female teachers’ math anxiety affects girls’ math achievement,” Proceedings of the National Academy of Sciences, 107(5), 1860-1863, 2010.[5] G. M. Burton, “Getting Comfortable with Mathematics,” The Elementary School Journal 79 (3): 129-135, 1979.[6] K. Campbell and C. Evans, “Gender Issues in the Classroom: A Comparison of Mathematics Anxiety,” Education 117(3): 332-339, 1997.[7] C. S. Dweck, “Mindsets and Math/Science Achievement,” Carnegie Corporation of New York-Institute for Advanced Study Commission on Mathematics and Science Education, 2008.[8] M.W. Faust, M. H. Ashcraft, and D. E. Fleck, “Mathematics anxiety effects in
committee members, the peer-mentor and internshiphost(s) – which will inform evaluations used to gauge the progress and the success of theinternship at its midpoint and conclusion. Annual field trips to facilities related to the researchbeing performed will further expose trainees to relevant sites and careers. Close to graduation,trainees will receive coaching on job hunting as well as résumé, cover letter and interviewpreparation.Moreover, this NRT will connect training elements with inter- and transdisciplinary researchthrough a number of initiatives besides the interdisciplinary and seminar courses in whichstudent research teams will be formed (vide supra). First, this NRT will launch an annualsymposium including all elements of a scientific
Education (CPREE, funded by the Helmsley Charitable Trust), a member of the governing board for the International Research in Engineering Education Network, and an Associate Editor for the Journal of Engineering Education. Dr. Turns has published over 175 journal and conference papers on topics related to engineering education.Dr. Gregory Mason P.E., zyBooks, A Wiley Brand Gregory S. Mason received the B.S.M.E. degree from Gonzaga University in 1983, the M.S.M.E. degree in manufacturing automation from Georgia Institute of Technology in 1984 and the Ph.D. degree in mechanical engineering, specializing in multi-rate digitalDr. Teodora Rutar Shuman, Seattle University Professor Teodora Rutar Shuman is the Chair of the
Paper ID #41096Board 219: C6-LSAMP - Building Bridges to the BaccalaureateDominic J Dal Bello, Allan Hancock College Dom Dal Bello is Professor of Engineering at Allan Hancock College (AHC), a California community college between UC Santa Barbara and Cal Poly San Luis Obispo. At AHC, he is Department Chair of Mathematical Sciences, Faculty Advisor of MESA (the Mathematics, Engineering, Science Achievement Program), and Principal/Co-Principal Investigator of several National Science Foundation projects (S-STEM, LSAMP, IUSE). In ASEE, he is chair of the Two-Year College Division, and Vice-Chair/Community Colleges of the
part of the work supported by the National Science Foundation Grant # 1915615,titled “Adapting an Experiment-centric Teaching Approach to Increase Student Achievement inMultiple STEM Disciplines.” It should be noted that the opinions, results, and conclusions orrecommendations expressed are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] K. L. Johnston, “American Association of Physics Teachers: Citations for DistinguishedService,” American Journal of Physics, 65(7), 596-59,. 1997.[2] J. E. Byers, S. Reichard, J. M. Randall, I. M. Parker, C. S. Smith, W. M., Lonsdale, and D.Hayes, “ Directing research to reduce the impacts of nonindigenous species,” ConservationBiology, 2002, 16(3
. Participants will learnknowledge of engineering fundamentals as they apply to materials science and biomedical engineering.Diverse students will involve in multidisciplinary research training and learning through this REU program.Example Project #2 ASSURED" point-of-care screening tool for rapid detection of cancerPrimary Mentor: Sagnik BasurayType of Project: BiosensorsProject Description: The two significant limitations of current analytical/diagnostic systems are: 1)Sensitivity or the species of interest are too low in the measured sample, thus leading to false-negative(s)2) Selectivity or the sample may contain species of interest intermixed with many similar species, thusleading to false positives(s). The design must facilitate rapid analysis for
Annual Conference, Paper ID #38418, Baltimore, June, 2023. 8. Park, Y. S., Wu, S. S., Effectiveness of High-Impact Practices (HIPS) in an Engineering Course, in the Proceedings of the 2019 ASEE Annual Conference, Paper ID #24738, Tampa, June, 2019.9. Henderson, T. S. Exploring the Post-graduation Benefits of High-Impact Practices in Engineering: Implications for Retention and Advancement in Industry, in the Proceedings of the 2017 ASEE Annual Conference, Paper ID #19263, New Orleans, 2017.10. Gagliardi, J. S., Martin, R. R., Wise, K., Blaic, C., The System Effect: Scaling High- Impact Practices Across Campuses, New Directions For Higher Education, no. 169, Spring 2015. DOI: 10.1002/he.2011911. Jennifer R. Keup, J. R
findings.References[1] United States, Executive Office of the President [Joseph Biden]. Executive Order #14008:Tackling the Climate Crisis at Home and Abroad, 27 January 2021. Federal Register, vol. #86,7619-7633[2] M.H. Nguyen, S. Laderman, K. Heckert, J.J. Ramirez, The MSI Data Project full data set(06142023; Version 2) [Data set]. The Minority Serving Institutions Data Project, 2023.[3] J.A. Martinez, K.J. Sher, J.L. Krull, & P.K. Wood, Blue‐collar scholars?: Mediators andmoderators of university attrition first‐generation college students. Journal of College StudentDevelopment, 50(1), 87‐103, 2009.[4] E.M.J. Fischer, Selling into campus life: Differences by race/ethnicity in college involvementand outcomes. The Journal of Higher Education, 78(2), 125
reminder from Table 2, student 6mentioned Knowledge, Skills, and Identity in 100% of their paragraphs and Values andEpistemology in 50%. This correlates with the size of the nodes in Figure 3. Figure 3. Epistemic network for Student 6.Each of the paragraphs in Student 6’s excerpt contained four of the framework elements. Student6 showed the connections in their learning between the framework elements throughout bothparagraphs, some in the same sentence and others in adjacent sentences, giving meaning to thelines on the epistemic network on Figure 3. These representative quotes are shown in Table 4.Table 4. Representative quotes that contain two framework elements from Student 6. Framework Elements Representative