/TheLinkWing.pdf. [Accessed Dec. 26, 2022][2] E. Beheshti, D. Weintrop, H. Swanson, K. Orton, M. Horn, K. Jona, and U. Wilensky, “Computational thinking in practice: How STEM professionals use CT in their work,” in American Education Research Association Annual Meeting, San Antonio, TX, Apr., 2017.[3] J. Malyn-Smith, I. Lee, F. Martin, S. Grover, M. Evans, and S. Pillai, “Developing a framework for computational thinking from a disciplinary perspective, “ in Proceedings of the International Conference on Computational Thinking Education, International Conference on Computational Thinking Education, Hong Kong, HK, Jun., 2018.[4] L. Hood and L. Rowen, “The human genome project: big science transforms
University. I have over 25 years of teaching and research experience and over ten years of industrial experience. c American Society for Engineering Education, 2018 Product Lifecycle Management Scholarship ProgramAcknowledgement. This material is based upon work supported by the National ScienceFoundation under Grant No. 1060160.Introduction.The Product Lifecycle Management (PLM) Scholarship Program is supported by a NationalScience Foundation Scholarships in STEM (S-STEM) grant. The goal of the S-STEM programis to provide academically sound, but financially challenged, students with the means to enroll asfull-time students at Oakland University in the fields of Industrial and Systems Engineering
rubrics have been tested. Discipline Course Level Institution Class Pedagogy Type Size Biology/Health Introductory, RU, CU M, L, Case Study, Lecture, Lab, Sciences Intermediate, XL Peer Instruction, POGIL, Advanced Other Chemistry Introductory, RU, PUI S, M, Case Study, Lecture, Lab, Intermediate, L, XL PBL, Peer Instruction, Advanced
workers into the US creates incentives to displace workerswho are born in the US [2], [3]. Many others believe that we should concentrate on urging andsupporting schools to increase the interest of their students in STEM, and colleges anduniversities to increase the number of students who not only major in STEM fields but alsocomplete degree programs in those fields [4].The National Science Foundation (NSF), for example, is working with colleges and universitiesto help increase the number of American students who complete their STEM degrees at alllevels. One program that illustrates this effort is the NSF Scholarships in Science, Technology,Engineering, and Mathematics Program (NSF S-STEM). This program seeks: “ 1) to increasethe number of low
%20Org%20Seq %202012-08.pdf. [Accessed February 19 2014].[8] Stevens Institute of Technology, "Areas of Concentration," Department of Mechanical Engineering, 2014. [Online]. Available: http://www.stevens.edu/ses/me/undergrad/concentrations. [Accessed 24 April 2014].[9] K. Kuriyan, A. C. Catlin and G. V. Reklaitis, "PharmaHUB: Builing a Virtual Organization for Pharmaceutical Engineering and Science," Journal of Pharmaceutical Innovation, vol. 4, no. 2, pp. 81-89, 2009.[10] L. Simon, K. Kanneganti and K. S. Kim, "Drug Transport and Pharmacokinetics for Chemical Engineers," Chemical Engineering Education, vol. XLIV, no. 4, pp. 262-266, 2010.[11] M. R. Prausnitz and A. S. Bommarius, "Drug Design, Development
subgroups.AcknowledgementsThis material is based upon work supported by the National Science Foundation under grantnumbers DUE #1834425 and DUE #1834417. Any opinions, findings, and conclusions orrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe NSF.References[1] O. Ha and N. Fang, "Spatial Ability in Learning Engineering Mechanics: Critical Review," Journal of Professional Issues in Engineering Education and Practice, vol. 142, no. 2, p. 04015014, 2015.[2] J. G. Cromley, J. L. Booth, T. W. Wills, B. L. Chang, N. Tran, M. Madeja, T. F. Shipley and W. Zahner, "Relation of Spatial Skills to Calculus Proficiency: A Brief Report," Mathematical Thinking and Learning, vol. 19, no. 1, pp. 55-68, 2017.[3] S. A. Sorby
motivating them to choose a career path in thearea of UAV technologies.AcknowledgementThe project is funded by the NSF’s EEC Program. We would also like to thank Lockheed MartinCorporation and Northrop Grumman Corporation, and NASA Armstrong Flight Research Centerfor hosting the participants and giving them a tour their research labs and facilities. We wouldalso like to thank Northrop Grumman Corporation and Lockheed Martin Corporation for theircontinued support of the UAV Lab at Cal Poly Pomona.References[1] S. Bhandari, Z. Aliyazicioglu, F. Tang, and A. Raheja, “Research Experience for Undergraduates in UAV Technologies,” Proceedings of American Society of Engineering Education Annual Conference, Salt Lake City, UT, 25-28 June 2018
is a frequent speaker on career opportunities and diversity in engineering. Page 25.110.1 c American Society for Engineering Education, 2012 A Successful 4-Year Academic Scholarship Program for Upper Division Engineering and Computer Science Non-Transfer Students and Graduate StudentsAbstractThis paper describes a successful four-year academic scholarship program for upper divisionengineering and computer science students funded by a National Science Foundation’s S-STEMgrant that ran from Fall 2007 through Spring 2011. Scholarships of $2,000 per semester weregiven
culturewith a focus on better supporting traditionally underrepresented students. Subsequent researchwill explore how student participation in these types of engagement activities correlate to thedevelopment of an inclusive makerspace and engineering education culture.Acknowledgement – This material is based upon work supported by the National ScienceFoundation S-STEM program under Grant No. 1834139. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] M. Galaleldin, F. Bouchard, H. Anis and C. Lague, "The impact of makerspaces on engineering education," in Proceedings of the Canadian Engineering
Paper ID #41087Board 406: The Transformation of a Mathematics DepartmentProf. Tuncay Aktosun, The University of Texas at Arlington Dr. Aktosun is a professor of mathematics at the University of Texas at Arlington. His research area is applied mathematics and differential equations with research interests in scattering and spectral theory, inverse problems, wave propagation, and integrable evolution equations. He is involved in various mentoring and scholarship programs benefiting students. He was the GAANN Fellowship Director in his department during 2006-2022, he has been the NSF S-STEM Scholarship Director in his
. Expansion to other campuses and disciplines, using a self-sustaining model such as theone employed in Supplemental Instruction may ensure that the value WATTS provides is able toendure.AcknowledgementThe authors are grateful to the National Science Foundation for their generous funding of thiseffort at PSB, IUPUI, and UTRGV. The authors are also grateful for the lasting contributions ofMr. Jon Meckley, who was not only a key contributor to this research effort but also a kind,witty, and caring human being. He will be greatly missed.References[1] S. Wu, S. Zha, and S. Mattson, “Integrating team-based learning modules to improve civil engineering students’ technical writing skills,” Journal of Civil Engineering Education 146, no. 3, 2020.[2
work supported by the National Science Foundation under AwardNumbers 2114241 and 2114242. Any opinions, findings, and conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.ReferencesBartlett, R. (2013). Playing with meaning: using cartoons to disseminate research findings. Qualitative Research, 13(2), 214-227.Berhane, B., Secules, S., & Onuma, F. (2020). Learning While Black: Identity Formation and Experience for Five Black Men Who Transferred Into Engineering Undergraduate Programs. Journal of Women and Minorities in Science and Engineering, 26(2), 93–124. https://doi.org/10.1615/JWomenMinorScienEng
manufacturing systems; control of large-scale complex systems; robotics/mechatronics; and adaptive and robust control of nonlinear dynamic systems.Prof. Satish Bukkapatnam, Texas A&M University Satish T. S. Bukkapatnam received his Ph.D. and M.S. degrees in industrial and manufacturing engineer- ing from the Pennsylvania State University. He currently serves as Rockwell International Professor with the Department of Industrial and Systems Engineering department at Texas A&M University, College Station, TX, USA. He is also the Director of Texas A&M Engineering Experimentation Station (TEES) Institute for Manufacturing Systems. His research in smart manufacturing addresses the harnessing of high-resolution
S-STEM project “HumanConnect” is aligned withthe Humanitarian Engineering Scholars (HES) program in the College of Engineering andsupports scholarships of up to 4 full years for academically talented students who demonstratefinancial need, enabling them to enter the STEM workforce or graduate school following STEMdegree completion. Our two main goals are to 1) Positively impact the retention and graduationof Engineering students with financial need and 2) Improve academic performance relative to acontrol group (selected from another scholars’ community, Green Engineering Scholars or GES).In the first year of the award (2013-14), scholarships were granted to a first cohort of 15 students(11 first year and 4 second year). In the second year
participants’ social realities in a dependable way?” Wewill revisit the Q3 framework in the beginning of the project and throughout as the projectprogresses. We will modify the project protocol as needed when reviewing the Q3 framework forquality.ConclusionThe literature review illustrates that ambiguity has not been adequately operationalized. Ourproject has just begun, so at this time we are collecting data, but the goal of this project is tounderstand the different ways that students and practicing engineers experience ambiguity duringproblem solving. The result of our project will be a taxonomy of ambiguity developed from theoutcome space(s). This taxonomy will deepen our understanding of problem solving, allowing usand other researchers to
Equation 1. volume of swollen gel Q= (1) volume of dry polymerThe tensile modulus is related to the tensile stress and the equilibrium polymer volume fractionas given by Equation 2 = G v2,s-1/3 (2)where G is the tensile modulus, α is the elongation, τ is the tensile stress, and v2,s is the Page 24.797.16equilibrium polymer volume fraction in the gel (1/Q). G can be found from the slope of a plot
Paper ID #43077Board 188: A Legacy of Success: The High Achievers in STEMDr. Rahman Tashakkori, Appalachian State University Rahman Tashakkori received his PhD in Computer Science from Louisiana State University in 2001. He serves as the Lowe’s Distinguished Professor of CS and director for LSAMP and S-STEM programs at Appalachian State University.Dr. Jennifer R. McGee, Appalachian State UniversityDr. Cindy Norris, Appalachian State University ©American Society for Engineering Education, 2024 A Legacy of Success: The High Achievers in STEM Abstract - There are well-known and widespread
, meaningful connections to existingstructures in the community will be leveraged to continue research and outreach. AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1943098. 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] C. A. Carrico, “Voices in the Mountains: A Qualitative Study Exploring Factors Influencing Appalachian High School Students’ Engineering Career Goals,” 2013.[2] S. Ardoin, College aspirations and access in working-class rural communities
Paper ID #32725Broadening the Participation of Underrepresented Minorities in theMathematical SciencesProf. Tuncay Aktosun, University of Texas at Arlington Dr. Aktosun is a professor of mathematics at the University of Texas at Arlington. His research area is applied mathematics and differential equations with research interests in scattering and spectral theory, inverse problems, wave propagation, and integrable evolution equations. He is involved in various men- toring and scholarship programs benefiting students. He has been the GAANN Fellowship Director in his department since 2006, the NSF S-STEM Scholarship
STEM Career Choices: Using Expectancy-Value Perspective to Understand Individual and Gender Differences in STEM Fields," Developmental review : DR, vol. 33, no. 4, p. 10.1016/j.dr.2013.08.001, 09/13 2013.[4] D. B. Clark, E. E. Tanner-Smith, and S. S. Killingsworth, "Digital Games, Design, and Learning:A Systematic Review and Meta-Analysis," Review of Educational Research, vol. 86, no. 1, pp. 79-122, 2016.[5] C. S. Green and D. Bavelier, "Action-Video-Game Experience Alters the Spatial Resolution of Vision," Psychological science, vol. 18, no. 1, pp. 88-94, 2007.[6] N. Martín-Dorta, J. L. Saorín, and M. Contero, "Development of a Fast Remedial Course to Improve the Spatial Abilities of Engineering
curriculum was designed through several iterative meetings with industry.The industry advisors identified the Knowledge, Skills, and Abilities (KSAs) that would help themost with the transition from student to professional. These KSAs led directly to the design ofthe Hatchery Unit (HU) courses. Forty professionals from twelve companies have participated inthe design and delivery of HU courses. The academic-industry collaboration has been critical ingetting acceptance from faculty and students.To date, we have offered 57 CS-HU sections with 1591 students (non-unique) enrolled in thesecourses. The five required CS-HU courses are Foundational Values (14 sections, 473 students),Navigating Computer Systems (12 sections, 354 students), Intro to
experiences of HSCC students.References[1] S. Lunn, M. Ross, Z. Hazari, M. A. Weiss, M. Georgiopoulos, and K. Christensen, “How Do Educational Experiences Predict Computing Identity?,” ACM Trans. Comput. Educ., vol. 22, no. 2, p. 12:1-12:28, Nov. 2021, doi: 10.1145/3470653.[2] S. Rodriguez, C. Lu, and D. Ramirez, Eds., “Creating a Conceptual Framework for Computing Identity Development for Latina Undergraduate Students,” in An Asset-Based Approach to Advancing Latina Students in STEM: Increasing Resilience, Participation, and Success, 1st ed., New York, NY : Routledge, 2021. | Series: Routledge research in STEM education: Routledge, 2020. doi: 10.4324/9781003002758.[3] G. A. Garcia, A.-M. Núñez, and V. A. Sansone, “Toward a
lessons, activities, assessment, outreach, andpedagogical practices. It will enable instructors to teach students in their courses and assignresearch projects. We envision that virtual learning will continue to be in high demand. In thefuture, the FossilSketch can be implemented across the nation in undergraduate science, biology,and paleontology classes. This application has great potential to be developed into an onlineversion of the course (MOOC).1 AcknowledgementsThis work was supported by the National Science Foundation under Grant “Improvingundergraduate student critical thinking and ability to solve environmental problems with fossilrecords through FossilSketch application” #2337105.References[1] A. Stepanova, C. Belanger, S. Anwar, C
processes around EBIP-implementation. We hope that this model will facilitate moreeffective mentoring and training programs.References[1] A. Brooks, K. Heath, S. Brown, H. Dominguez, P. Shekhar, and J. Knowles, “One Size Does Not Fit All: Understanding how Faculty Implement Evidence-Based Instructional Practices in Their Engineering Courses,” presented at the IEEE Frontiers in Education (FIE), IEEE, 2022.[2] A. Brooks, J. Knowles, E. Clement, S. Prateek, and S. Brown, “Are All ‘EBIPs’ Created Equal? An Exploration of Engineering Faculty Adoption of Nine Evidence-Based Instructional Practices,” ASEE Annu. Conf. Expo., 2023[3] J. Knowles, A. Brooks, E. Clement, P. Shekhar, S. Brown, and M. Aljabery, “A Qualitative Exploration of
Science Foundation under Grant No. 1943098. Opinions,findings, and conclusions are those of the authors and do not necessarily reflect the views of theNSF. BibliographyArdoin, S. (2017). College aspirations and access in working-class rural communities: The mixed signals, challenges, and new language first-generation students encounter. Lexington Books.Carrico, C. A. (2013). Voices in the mountains: A qualitative study exploring factors influencing appalachian high school students’ engineering career goals. https://vtechworks.lib.vt.edu/items/c342c9ca-2037-4700-be5a-5eaa85626b26Sciences, N. A. of, Behavioral, D. of, Sciences, S., Policy, Affairs, G., Education, B. on S
students’ learning. Dr. Darabi’s research has been funded by federal and corporate sponsors including the National Science Foundation, and the National Institute of Occupational Health and Safety.Mrs. Rezvan Nazempour, The University of Illinois, Chicago Rezvan Nazempour is a graduate research assistant at the University of Illinois at Chicago. She is com- pleting her Ph.D. in Industrial Engineering and operations research at the Mechanical and Industrial En- gineering Department. She received her BSIE fromDr. Peter C. Nelson, The University of Illinois, Chicago Peter Nelson was appointed Dean of the University of Illinois at Chicagoˆa C™s (UIC) College of Engi- neering in July of 2008. Prior to assuming his
explore. For this paper, researchers present findings from theanalysis of the final cohort(s) of the original pilot program with an emphasis on characteristics ofinterest, as well as an exploration of the factors involved in place-attachment for alumni.IntroductionThe Bowman Creek Educational Ecosystem (BCE2) in South Bend, Indiana is a community-university, cross-institutional partnership [1] developed with a multiplicity of outcome aims – toattract and retain underrepresented groups in engineering and science; to improve the quality oflow-income neighborhoods; and to build STEM literacy across the regional workforce. Corepartners in the BCE2 pilot have involved a diversity of higher education institutions (Ivy Techcommunity college, Indiana
onhuman subjects’ review board specifications in hopes that we can increase the number ofstudents willing to participate in the research component of this study. Interviews with studentsafter reviewing their survey results will also be completed to better understand any trendsidentified in the results.References[1] N. S. F. National Science Board, Higher Education in Science and Engineering, NSB-2019- 7.Alexandria, VA: National Science Foundation, 2019.[2] United States Bureau of Labor Statistics, Occupational Outlook Handbook. US Department ofLabor, 2020.[3] V. Akondy and S. Murthy, “From Novice to Expert Instructional Designer: A TrainingBased on Cognitive Apprenticeship Model,” in 2015 IEEE Seventh International Conference
ofcognitive ideation. Instead, human designers must generate new objective spaces for AI to exploreand discover logical relationships between parameters that achieve the objectives. In this way, GDrequires inverse thinking from the objective space to the parameter space, while in TD, designersare required to cognitively explore the parameter space to optimize towards the objective(s).Aims and SignificanceDesign paradigms (e.g., TD / PD / GD) each require the human to carry out a unique set of tasks[1], [3], [6], [7], [9] which in turn define design thinking [8], [10], [11]. Thus, each paradigm isaccompanied by a unique design thinking concept. TD requires a designer to engage in traditionaldesign thinking (TDT), PD activates parametric design
city in Massachusetts,USA. The 199 participating students worked in pairs and trios. An overview of the curriculum ispresented in Table 1, below. In practice the curriculum lasted 14 days, as teachers provided extratime for learners who needed remediation or extra challenge.We generated data from pre- and post-surveys (N = 120 paired); pre-, post- and follow-upinterviews (14, 17, and two, respectively); students’ design artifacts; and classroom observationsof eight student pairs (including 20 hours of video and 10 hours of screen-capture), all in order toexplore student engagement in practices of computation, engineering, and science. Table 1 Overview of smart-greenhouse curriculum sequence Day(s) Topic