Conference Session

Architectural Engineering Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Yanmei Xie, North Dakota State University; Huojun Yang, North Dakota State University

Tagged Divisions

Architectural Engineering

, especially when on-campus lab resources are limited or people are sheltered at homeduring natural disasters like the COVID-19 pandemic.AcknowledgementsThe authors are grateful for the support of the ND EPSCOR (under the grant of FAR0032227).References:Akçayır, M., & Akçayır, G. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1-11.Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & MacIntyre, B. (2001). Recent advances in augmented reality. IEEE computer graphics and applications, 21(6), 34-47.Cai, S., Wang, X., & Chiang, F.-K. (2014). A case study of Augmented Reality simulation system application in a chemistry

Conference Session

Efforts to Understand and Support Students' Socioemotional Factors

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Saira Anwar, University of Florida; Ahmed Ashraf Butt, Purdue University, West Lafayette; Muhsin Menekse, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

phenomenology approach for richer descriptions of students’ experiences.References[1] C. Henderson, A. Beach, and N. Finkelstein, “Facilitating change in undergraduate STEM instructional practices: An analytic review of the literature,” J. Res. Sci. Teach., vol. 48, no. 8, pp. 952–984, 2011.[2] D. Heo, S. Anwar, and M. Menekse, “The relationship between engineering students’ achievement goals, reflection behaviors, and learning outcomes,” Int. J. Eng. Educ., vol. 34, no. 5, pp. 1634–1643, 2018.[3] C.-S. Lai, “Using inquiry-based strategies for enhancing students’ STEM education learning,” J. Educ. Sci. Environ. Health, vol. 4, no. 1, pp. 110–117, 2018.[4] A. Saterbak, T. Volz, and M. Wettergreen, “Implementing and assessing a

Conference Session

Engineering Physics and Physics Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Yumin Zhang, Southeast Missouri State University

Tagged Divisions

Engineering Physics and Physics

is not high enough, therewould be an overlap between two neighbors, and this is the cause of the aliasing effect. Fig. 1. Alising phenomenon in frequency domain.In practical situations, the input signal is always band limited, so we can assume that the upperlimit of the frequency is fMAX. The Nyquist-Shannon sampling theorem [2] indicates that thesampling frequency should be at least twice of fMAX, i.e. f S  2  f MAX , which can be understoodeasily from Fig. 1. On the other hand, if the sampling frequency is fixed, the bandwidth of theinput signal is required to be no greater than fs/2, which is called the Nyquist frequency and it isan attribute of the electronic device.Students can understand the Nyquist-Shannon

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Omar Ashour, Pennsylvania State University, Behrend College; James Devin Cunningham, Carnegie Mellon University; Christian Enmanuel Lopez, Lafayette College; Conrad Tucker, Carnegie Mellon University

Tagged Topics

NSF Grantees Poster Session

3D [29], or simulation software, such as Simio [30]. Whenbuilt with Unity, the virtual system can be explored using a VR headset such as Oculus Quest[31], [32]. Unity games can be viewed on a computer screen but will require rebuilding thevirtual system to accommodate that. When built using Simio, the virtual systems can be exploredon a computer screen and a VR headset (Oculus Rift, Rift S, or tethered Quest) which add moreflexibility and scalability. This is especially important when teaching students remotely, and notall the students have VR headsets.When selecting a system, the system should be complex enough to include challenges andactivities that cover many problems and concepts from several courses in the IE curriculum, butnot too

Conference Session

Mathematics Division Technical Session 4: Assessing Success in Mathematics Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Johannah L. Crandall, Washington State University; Kristin Lesseig, Washington State University

Tagged Divisions

Mathematics

Crandall, a clinical associate professor of computer science atWashington State University, for his thoughtful assistance in outlining an ontology of computingtools reported by participants in this study, especially those closely associated with specializedengineering endeavors involving embedded systems, web development, and 3D drawingsolutions. 9References[1] Brown, J. S., Collins, A. and Duguid, P. (1989). Situated cognition and the culture oflearning. Educational Researcher, 18, 32-42.[2] Magana, A. J., Falk, M. L., Vieira, C. and Reese, M. J. (2016). A case study ofundergraduate engineering students' computational literacy and self-beliefs

Conference Session

Approaches to Assessment and Student Reflection

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Susan Bobbitt Nolen, University of Washington; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods, Ocean and Marine

, Pathway, or Ecosystem – Do Our Metaphors Matter?” Distinguished Lecture, ASEEAnnual Conference, Tampa, 2019.Deslauriers, L., E. Schelew, and C. Wieman, Improved Learning in a Large- Enrollment Physics Class. Science, 2011. 332(6031): p. 862-864.Engeström, Y. (2001). Expansive Learning at Work: Toward an activity theoretical reconceptualization. Journal of Education and Work, 14, 133–156.Freeman, S., S.L. Eddy, M. McDonough, M.K. Smith, N. Okoroafor, H. Jordt, and M.P. Wenderoth, Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences of the United States of America, 2014. 111(23): p. 8410-8415.Friedrichsen, D. M., Smith, C., & Koretsky, M. D. (2017

Conference Session

Student Division Technical Session 7

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Catherine Hendricks Belk, Clemson University; Marisa K. Orr, Clemson University

Tagged Divisions

Student

Science and Mathematics Education, vol. 7, no. 1, pp. 14-31, 2019.[2] R. E. Mayer, Thinking, problem solving, cognition. New York, NY: W. H. Freeman, 1992.[3] G. Duffy, S. Sorby, and B. Bowe, "An investigation of the role of spatial ability in representing and solving word problems among engineering students," Journal of Engineering Education, vol. 109, no. 3, pp. 424-442, 2020, doi: 10.1002/jee.20349.[4] A. D. Baddeley and G. J. Hitch, "Working Memory," in The Psychology of Learning and Motivation: Advances in research and theory, vol. 8, G. h. Bower Ed. New York: Academies Press, 1974, pp. 48-79.[5] A. Baddeley, "Fractionating the Central Executive," in Principles of Frontal Lobe Function, D. T. Stuss and R

Collection

2021 ASEE Pacific Southwest Conference - "Pushing Past Pandemic Pedagogy: Learning from Disruption"

Authors

Matthew Robin Kohanfars, UC San Diego; Edward I Lan, University of San Diego California; Huihui Qi, University of California, San Diego; Tania Morimoto, University of California, San Diego

torque and angularmomentum [1]. The work of C. Kontra et. al. finds that with active learning, students’ exposureto a physical interaction to forces that were associated with angular momentum correlated to anincrease in quiz scores, as well as activation in the brain related to the sensorimotor region whenreasoning about angular momentum at a later time. Other studies such as that of S. Freeman et al.[2] have also shown that through active learning, students gain the ability to perform better ontests than without active learning. Therefore, with the shift into a virtual learning space, itbecomes imperative to maintain the kinesthetic learning aspect of laboratory based courses, toengage students, as well as to help them gain better conceptual

Collection

ASEE 2021 Gulf-Southwest Annual Conference

Authors

Ronald E. Barr P.E., University of Texas at Austin

replaced by 3-D modeling software. Faculty started transitioning to solidmodeling as the core topic in the graphics curriculum in the late 1990’s and beyond2,3,4,5,6. A logoshown in Figure 1 was developed in the early 1990’s to express the author’s ideas at that time, andover time has had an international influence7. Full implementation of the paradigm was not fullyrealized until 20 years after the logo was first published. Now, as we enter the third decade of the21st century, the 3-D computer model is firmly entrenched as the epicenter of the modern digitaldesign and manufacturing enterprise. It is time that our teaching methodologies and spaces reflectthis modern design reality.A second motivation for the proposed Design Graphics Collaboratory

Conference Session

WIP: Enrollment, Instruction and Pedagogy - Focus on Classroom Practices

Collection

2017 FYEE Conference

Authors

Brian Paljug, University of Virginia; Lisa Lampe, University of Virginia

Tagged Topics

FYEE Conference - Works in Progress Submission

). An obvious option is to enlist the tutorsQ1. This semester, about how often have you somehow in distributing or advertising the survey, though 3.50used SEAS tutoring? this runs the risk of being seen as coercive, and would haveQ2. My tutor(s) was /were knowledgeable ofthe subject/course material 4.11 to be approached carefully and with full IRB approval.Q3. My tutor(s) successfully answered my Another option is for a non-tutor, non-faculty person to go to

Collection

2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Dilnesa T Nukuro, University of the District of Columbia ; Paul Cotae, University of the District of Columbia

Tagged Topics

Diversity

failure will cause maximum degradation of network clustering. Further investigation willhave to be done for a 100 and 500 node network. Table for Notations N Number of vertices/nodes (N = |V |) M Number of edges/links (M = |E|) du The degree of u N (u) The set of neighbors of u T (u) The number of triangles containing u C (u), C (G) Clustering coefficients of u and G C˜v (u), C˜v (G) G Clustering coefficients of u and G after removing node v from G[S] The sub-graph

Conference Session

International Division Technical Session 8

Collection

2016 ASEE Annual Conference & Exposition

Authors

Pradeep Kashinath Waychal, NMIMS University; Ashok Ranade, EE Collaborative

Tagged Topics

Diversity

Tagged Divisions

International

the whole program - tend to fail 5, 8.Charney and Libecap 9 assessed impact of entrepreneurship education and found that theeducation produces self-sufficient and innovative enterprising individuals.Simpeh10 examines various entrepreneurship theories including psychological entrepreneurshiptheories. The psychological theories highlight personal characteristics that defineentrepreneurship. Simpeh has included “traits theory” and “need for achievement theory” in thepaper 10. The “trait theory” hypothesizes that an individual has inborn qualities or potentials thatnaturally make him an entrepreneur. The issue with the trait model is that, there is no consistentevidence of unique entrepreneurial characteristics 11. Simpeh also quotes McClelland‟s

Conference Session

Work-In-Progress Postcard Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Tracy L. Carter, Northeastern University; Sarah A. Wilson, University of Kentucky; Samira Azarin; Janie Brennan, Washington University in St. Louis; Amy J. Karlsson, University of Maryland; Chris Barr, University of Michigan

Tagged Divisions

Chemical Engineering

Activity-based (A) vs. passive (P)3 Stand-alone (S) vs. Instructor-led #8: Hazard eval., risk assessment Relevant to Other Courses (Y/N

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kimberly Christian, Stony Brook University; Angela M. Kelly, Stony Brook University; Monica Bugallo, Stony Brook University; Keith Sheppard, Stony Brook University

Tagged Divisions

Pre-College Engineering Education

, DC: The National Academies Press, 2012.[3] R. D. Anderson and J. V. Helms, “The ideal of standards and the reality of schools: Needed research,” Journal of Research in Science Teaching, vol. 38, pp. 3-16, 2001.[4] S. Purzer, T. Moore, D. Baker, and L. Berland. Supporting the implementation of the Next Generation Science Standards (NGSS) through research: Engineering. Reston, VA: National Association of Research in Science Teaching, 2014. [Online]. Available: https://narst.org/ngsspapers/engineering.cfm. [Accessed March 8, 2018].[5] L. Darling-Hammond, M. E. Hyler, and M. Gardner. Effective Teacher Professional Development. Palo Alto, CA: Learning Policy Institute, 2017.[6] T. J. Moore, A. W. Glancy

Conference Session

Engineering Design Graphics Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jeremy V. Ernst, Virginia Tech; Shelley Glimcher, North Carolina State University; Daniel P. Kelly, North Carolina State University; Aaron C. Clark, North Carolina State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Design Graphics

with real-world examplesas compared to theoretical examples traditionally employed in introductory engineering graphicscourses.This material is based upon work supported by the National Science Foundation under Grant No.1725874. 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 NationalScience Foundation.References[1] J. V. Ernst, T.O. Williams, A. C. Clark, and D. P. Kelly, “Psychometric properties of the PSVT:R Outcome Measure: A preliminary study of introductory engineering design graphics,” in 70th EDGD Midyear Conference Proceedings, Daytona, FL, USA, January 24-26, 2016.[2] S. A. Sorby and B. J. Baartmans

Collection

2014 ERC

Authors

Mica Endsley

Headquarters U.S. Air Force Air Force Global Horizons Dr. Mica Endsley USAF Chief Scientist 19 March 2014 Distribution A. Approved for public release; distribution is unlimited. Public Release Case No 2013-0609I n t e g rDistribution i t y A.-Approved S eforrpublic v irelease; c edistribution - Eisxunlimited

Conference Session

Materials In Design And Manufacturing

Collection

2008 Annual Conference & Exposition

Authors

Dave Kim, Washington State University-Vancouver; Jaesoon Jang, Washington State University-Vancouver; Sung Jae Shin, Washington State University-Tricity

on team building for thesemester-long team projects. Overall student experience and lessons learned inorganizing such a project are also discussed.1. IntroductionDeveloping effective teamwork skills among undergraduate students is part of theAccreditation Board for Engineering and Technology (ABET)’s engineering criterion2006- 2007 [1]. Besides the ABET requirements, many employers emphasize the need ofgood teamwork skills for the engineering graduates [2]. In addition, it is well known thatcooperative learning enhance students’ learning performances. Under the cooperativelearning or teamwork environment, students work together to maximize not only theirown, but other students ability to learn [3,4]. Most engineering programs incorporate

Conference Session

Assessment of K-12 Engineering Programs and Issues

Collection

2008 Annual Conference & Exposition

Authors

John Carpinelli, New Jersey Institute of Technology; Howard Kimmel, New Jersey Institute of Technology; Linda Hirsch, New Jersey Institute of Technology; Levelle Burr-Alexander, New Jersey Institute of Technology; Ronald Rockland, New Jersey Institute of Technology; Mark OShea, CSU Monterey Bay

Tagged Divisions

K-12 & Pre-College Engineering

of Chemical Engineering and Executive Director of the Center for Pre-College Programs at New Jersey Institute of Technology. He has spent the past thirty years designing and implementing professional development programs and curricula for K-12 teachers in science and technology. At the college level, he collaborates on projects exploring teaching methodologies and assessment strategies in first-year college courses in the sciences, engineering, and computer science.Linda Hirsch, New Jersey Institute of Technology LINDA S. HIRSCH is the Program Evaluator in the Center for Pre-College programs. She has a doctoral degree in educational psychology with a specialty in psychometrics and a Masters

Conference Session

Mechanical Engineering Poster Session

Collection

2009 Annual Conference & Exposition

Authors

Bijan Sepahpour, The College of New Jersey

Tagged Divisions

Mechanical Engineering

roots of the beams. Since these sensors are an integral part of the beams,they would experience the same levels of stress / strain. At a certain level of deformation, theywill generate the necessary level of voltage to activate the switch(es) for deploying the airbag(s). Page 14.795.2 Proceedings of the 2009 American Society for Engineering Education Annual Conference & Exposition Copyright © 2009, American Society for Engineering Education m – 1 = Hanging (proof) mass #1 m – 2

Conference Session

Instrumentation and Controls Laboratories

Collection

2009 Annual Conference & Exposition

Authors

Driss Benhaddou, University of Houston; Alan Rolf Mickelson, University of Colorado, Boulder

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

. Page 14.259.8 [6] James E. Corter, Jeffrey V. Nickerson, Sven K. Esche, and Constantin Chassapis. Remote ver- sus hands-on labs: A comparative study. 34th ASEE/IEEE Frontiers in Education Conference, 2006. [7] D. Deniz, A. Bulancak, and G. Ozcan. A novel approach to remote laboratories. ASEE/IEEE Frontiers in Education Conference, pages T3E–8–12, November 5-8 2003. [8] S. K. Esche, C. Chassapis, J. W. Nazalewicz, and D. J. Hromin. A scalable system architecture for remote experimentation. Proceedings of the 32nd ASEE IEEE Frontiers in Education Conference, Boston. MA, November 6-9 2002. [9] L. Hesselink et al. Cyberlab: A new paradigm in distant learning. NSF Workshop: Learning from the Net: The Leading Edge in Internet

Conference Session

Outreach and Recruitment

Collection

2006 Annual Conference & Exposition

Authors

Rafic Bachnak, Texas A&M University-Corpus Christi; Korinne Caruso, Texas A&M University-Corpus Christi; Jack Esparza, Texas A&M University-Corpus Christi; Marc Mendez, Texas A&M University-Corpus Christi

Tagged Divisions

Minorities in Engineering

evaluate the field trips. Results ofquestion 4 are shown in Figure 2. FU SE - Sum m er 2004 F IE L D T R IP E V A L U A T IO N F O R M F ie ld T r ip t o :_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ D a te: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 1. T h e m o s t im p o r ta n t th in g I le a r n e d fr o m p a r tic ip a tin g in th is fie ld tr ip w a s :_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 2. T h is fie ld tr ip c a n b e im p r o v e d if_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 3. D id th is fie ld tr

Conference Session

Improving Presentation Skills Through Summer Research and Ambassador Programs

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jennifer R. Amos, University of Illinois, Urbana-Champaign; Marie-Christine Brunet, University of Illinois at Urbana-Champaign

Tagged Divisions

Liberal Education/Engineering & Society

also beused in the National Association of Colleges and Employers (NACE) Career Readiness programoffered on our campus as part of career preparation education for engineering students [21].References 1. Ledbetter, S. (October 13, 2015). America’s Top Fears. Retrieved from https://blogs.chapman.edu/wilkinson/2015/10/13/americas-top-fears-2015/2. Nixon, S., Brooman, S., Murphy, B., & Fearon, D. (2016). Clarity, consistency and communication: using enhanced dialogue to create a course-based feedback strategy. Assessment & Evaluation in Higher Education, 1-11.3. Boyce, J. S., Alber-Morgan, S. R., & Riley, J. G. (2007). Fearless public speaking: Oral presentation activities for the elementary classroom. Childhood

Conference Session

Insights and Practices for Engineering Leadership Development

Collection

2017 ASEE Annual Conference & Exposition

Authors

David Bayless, Ohio University

Tagged Divisions

Engineering Leadership Development Division

used as the overarching tie in the leadership “S-triangle”pedagogy, which is illustrated in Figure 1. This approach links understanding of self, style, andsituation through hands-on application of leadership experience and discussions withPaper 18207 Page 2experienced leaders, as well as exploration of focused activities to help students reflect onleadership roles and characteristics.This work is the third evolution of an assessable “hands-on” capstone project for the semester-long leadership development course. The original effort was added to the curricula as a separateand late-in-class activity to reinforce learning through application. [5] This effort was

Conference Session

Revolutionizing Engineering Departments (RED)

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jennifer M. Bekki, Arizona State University, Polytechnic campus; Aisosa Ayela-Uwangue, Arizona State University, Polytechnic campus; Samantha Ruth Brunhaver, Arizona State University; Nadia N. Kellam, Arizona State University; Micah Lande, Arizona State University; Ann F. McKenna, Arizona State University, Polytechnic campus

Tagged Divisions

Educational Research and Methods

participation the faculty at ASU who are members of the affinity groups.Finally, we thank the The Polytechnic School at ASU and the evaluation team for supportingdata collection and participation in this research. This work is supported by the National ScienceFoundation Grant 1519339. 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.ReferencesBolman, L. G., & Deal, T. E. (1991). Leadership and management effectiveness: A multi-frame, multi-sector analysis. Human Resource Management1, 30(4), 509–34.Borrego, M. & Henderson, C. (2014). Increasing the use of evidence-based teaching in STEM education: A

Conference Session

ERM Technical Session 5: Assessment

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nathan M. Hicks, Purdue University, West Lafayette; Kerrie A. Douglas, Purdue University, West Lafayette; Heidi A. Diefes-Dux, University of Nebraska, Lincoln

Tagged Divisions

Educational Research and Methods

accuracy and noteswere taken by the interviewer at the time of the interviews.Qualitative modeling with the FRAM. The FRAM consists of four steps: (1) functionidentification and description, (2) variability identification, (3) variability aggregation, and (4)control mechanism identification [25]. The functions that comprise each model, identified anddefined in the first step, represent all actions that occur within the system. Each function ischaracterized by up to six factors: input(s), output(s), precondition(s), resource(s) or executivecondition(s), control(s), and time. A function may be a foreground function if it is the primaryprocess of concern or a background function if it affects the process but is not directly involved.The first three

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nabeel Alzahrani, University of California, Riverside; Frank Vahid, University of California, Riverside; Alex Daniel Edgcomb, zyBooks, A Wiley Brand

Tagged Divisions

Computers in Education

, probably to see the impact on output. We attribute this attempt to the incorrect left-side variable error. ● 1 min later, the student adds a cout of r as well, probably to make sure r's value is as expected. We again attribute this attempt to the left-side error. ● 1 min later, the student changes the left-side to area. We attribute to the left-side error, which is now fixed. ● In 5 submissions over the next 9 minutes, the student tries changing line 2's expression to PI * 2 * r, then 2 * r * PI, then PI * (r * 2), then PI * r * 2.0, and finally PI * r * r.Humans can recognize what the errors were, and can attribute 3 attempts and 3 minutes to solvethe left-side error and 5 attempts and 9 minutes to the squaring error. Most

Conference Session

Ocean and Marine Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Sanjay Tewari, Missouri University of Science & Technology

Tagged Divisions

Ocean and Marine

Paper ID #25088Problem-based Learning As A Pedagogy For Individual Students - Quanti-fying The Long-term Effects of Land Subsidence and Rising Sea Levels InCoastal Areas For Greater Student EngagementDr. Sanjay Tewari, Missouri University of Science & Technology Dr. Tewari is Assistant Teaching Professor of Civil Engineering at the Missouri University of Science & Technology, Rolla, MO. Prior to joining Missouri S&T, he worked as Assistant Professor at Louisiana Tech University. He earned his Bachelor of Engineering (Civil Engineering) and Master of Technology (Chemical Engineering) in India. He later joined Texas

Conference Session

Aerospace Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

D. Blake Stringer, Kent State University; Dakota William Bunner; Robert William Winkler

Tagged Divisions

Aerospace

c American Society for Engineering Education, 2018 Aerospace Capstone Design: Interactive Initial Sizing Estimates for Increasing Designer Intuition and Mitigating Risk in the Early Stages of Aircraft Conceptual DesignAbstractIn academia, aircraft design is a unique capstone course(s), measured in one or two semesters. Insome cases, aircraft design courses introduce the student to both the design process as well as thecomplexities associated with designing an object that travels through the air.In industry, aircraft design is a unique and complex process, measured in years. Success orfailure of an aircraft development program is often the result of decisions made in the initialstages of the design

Conference Session

Program Evaluation Studies

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sara Boukdad, Bowman Creek Educational Ecosystem; Amy Blue Cuevas, Bowman Creek Educational Ecosystem; Marty Kennedy, Bowman Creek Educational Ecosystem

Tagged Divisions

Pre-College Engineering Education

.     Bowman Creek Academy: An immersive STEM experience (​work in progress) Kennedy M. R., Cuevas A. B., Boukdad S.   Last Revised: April 24th, 2018  Keywords: STEM, Community Impact, High School Students, Youth Empowerment,Sustainability, Non-formal EducationAbstractBowman Creek Educational Ecosystem (BCe2) is a partnership that pilots community-engaged,sustainable projects to address real world challenges in the Southeast neighborhood of City Y, amid-size city in the Midwest. In an effort to create a more immersive and engaging experiencefor high school students, BCe2 developed Bowman Creek Academy (BCA). BCA is a week-longacademic program that engages high school students with STEM (science, technology,engineering, math) education through

Conference Session

SED Technical Session: Systems Thinking

Collection

2019 ASEE Annual Conference & Exposition

Authors

Erin Stirgus; Morteza Nagahi, Mississippi State University; Junfeng Ma, Mississippi State University; Raed Jaradat, Mississippi State University; Lesley Strawderman, Mississippi State University; Deborah K. Eakin, Mississippi State University

Tagged Divisions

Systems Engineering

average(GPA).Systems-Thinking Skills and Impacting FactorsPrior studies assessed an individual’s systems thinking using different systems thinkingcharacteristics and measurements within education domain. For example, Hopper and Stave [6]developed ways to assess the effectiveness of systems thinking interventions in the field ofeducation by defining systems thinking, determining what systems thinking interventions werebeing used in the current education models, and describing how the effects of interventions havebeen measured. Their definition uses the learning objectives in Bloom et al.’s [7] taxonomy tocreate their own proposed taxonomy as it pertains to systems thinking. Hopper and Stave’s [6]taxonomy consisted of different measures including