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
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
, 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
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
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
. 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
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
integrating engineering economics problems into Project Management course, inviting guestlecturers from the leadership team of construction companies, requiring groups of students tointerview industry professionals (involving industry professionals) and team presentations inclassroom.References[1] Engineering News Record, “Project Delivery: Studies Affirm Design-Build Speed, Cost,Future.” November 19-26, 6, McGraw Hill, 2018. [2] McGraw Hill, Construction, "Project delivery systems–How they impact efficiency andprofitability in the buildings sector." Bedford, MA (2014).[3] S. Toor and G. Ofori, "Leadership for future construction industry: Agenda for
selection paths based on specific class or numerical valueof selected parameter (e.g., final test score). Each node represents a splitting rule for one specificattribute (e.g., answer to a test question). This analytic tool has as well the option to reducepredictive errors by searching for an optimal decision-tree development, according to a specifiedcriterion [12].The objective in this study is to search for dominant factors that predict positive test scoreimprovement when comparing pre-intervention to post-intervention evaluation of students’spatial visualization skills. Another goal is to identify influential test question(s) and/ordemographic factors that will move the predictive modeling efforts into a broader identificationand grouping of
observationcoding. Lastly, the sample classroom videos and validation keys give Toolkit users anopportunity to practice conducting and coding full-length classroom observations in a low-stakessetting, before observing a real classroom.References1. Litzler, E., Lange, S. E., & Brainard, S. G. (2005, June). Climate for graduate students in science and engineering departments. In Proceedings of the 2005 American Society for Engineering Education annual conference & exposition. Portland, OR.2. Walton, G. M., Logel, C., Peach, J. M., Spencer, S. J., & Zanna, M. P. (2015). Two brief interventions to mitigate a “chilly climate” transform women’s experience, relationships, and achievement in engineering. Journal of Educational Psychology, 107(2
morewomen into the program. Results of these efforts and other success stories will be reported infuture.AcknowledgementThe project is funded by the NSF’s EEC Program. We would also like to thank NorthropGrumman Corporation and NASA Armstrong Flight Research Center for hosting the participantsand giving them a tour of their research labs and facilities. We would also like to thank NorthropGrumman Corporation, Lockheed Martin Corporation, and NASA AFRC for their continuedsupport of the Cal Poly Pomona’s UAV Lab.References1. Bhandari, S., Aliyazicioglu, Z., Tang, F., and Raheja, A., “Research Experience for Undergraduates in UAV Technologies,” Proceedings of American Society of Engineering Education Annual Conference, Salt Lake City, UT, 25-28
DescriptionThe main focus of this NSF Scholarship in Science, Technology, Engineering, and Mathematics(S-STEM) project is to provide 70 scholarships and student support services to student veteranswhich will address the major barriers to degree completion in engineering and engineeringtechnology. Students who participate in this program are veterans who are either juniors orseniors. They also have to demonstrate a financial need, motivation, and proven academicexcellence, and have exhausted their Post-911 GI Bill benefits. The students participating in thisprogram are from one of the following majors that are available at our college. These are: Civiland Environmental Engineering, Electrical and Computer Engineering, Mechanical andAerospace Engineering
learned a lot about engineering education research from this program. Many studentsexpressed their desire to purchase further graduate studies, or teaching, in the development oftheir professional careers.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.DUE 1262806. Graduate students Mr. Andreas Febrian, Mr. Moe Tajvidi, Mr. PresentacionRivera-Reyes, and Ms. Ting Song are acknowledged for their efforts in mentoring REU students.The project external evaluator Dr. Margaret Lubke is also acknowledged for her efforts inconducting independent evaluation of this program.Bibliography[1] Hathaway, R. S., Naqda, B. A., and Gregerman, S. R., 2002, “The Relationship of Undergraduate Research
tunnel and the air speed was varied from zero toabout 40 m/s by adjusting the frequency of the fan motor drive. Figure 5 shows photographs ofthe probes mounted in the wind tunnel. Team 2 Team 4 Team 1 Team 3 Figure 5. Pitot-static probes mounted in wind tunnelThe calibrated airspeed for each motor frequency was obtained from a calibrated Pitot tubeinstalled in the wind tunnel. The pressure sensor output voltage and supply voltage weremeasured at each air speed using a National Instruments USB-6009 data acquisition unit. The+5V supply voltage for the pressure sensor was also provided by the USB-6009. The pressuresensor output is ratiometric
Grant no.:1432426. 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.Bibliography1.# Olson,#S.#Riordan,#D.#G.#Engage&to&Excel:&Producing&One&Million&Additional&College& Graduates&with&Degrees&in&Science,&Technology,&Engineering,&and&Mathematics.&Report&to& the&President.#(Executive#Office#of#the#President,#2012).#2.# Watkins,#J.#Mazur,#E.#Retaining#students#in#science,#technology,#engineering,#and# mathematics#(STEM)#majors.#J&Coll&Sci&Teach#42,#36–41#(2013
institutional data. Assessment of the data can help educators and faculty membersrevise the effectiveness and content of civil engineering and construction curricula and improve thecourses regarding leadership skills. There may be facets of leadership skills unique to civilengineering and construction science compared to other majors, which would be worthy ofresearch attention.References1. Steels, H.M. (2006). Successful Professional Reviews for Civil Engineers. 2 nd Edition. London: Thomas TelfordPublishing.2. Allen, S. J. and Roberts, D. C. (2011). Our Response to the Question: Next Steps in Clarifying the Language ofLeadership Learning. Journal of Leadership Studies, 5(2), 65-70.3. Hyatt, B., (2013) ―Leadership Development in Undergraduate
interviewed indicated that they had received a number of communications from thecampus and the library regarding support for data management yet were still unsure of whatresources were actually being offered or how they could utilize the support. Department headsand group leaders were uncertain about how their faculty and students addressed datamanagement needs and practices. 95% of the interview participants stated that their fundingsource(s) required them to preserve and share their data and 50% of the participants indicatedthat they were interested in having a librarian provide instruction on data management practicesand options. Three of the researchers had used an online data management plan templateprovided by the engineering library for
0 200 400 600 800 1000 time (s) Fig. 2, Temperature versus Time ChartThe heat transfer equation in case Bi < 1 is given as follows [11]: The first term of this equation is time dependent. In this first term, m is the mass of the sphere, cis the specific heat of the sphere, T(t) is the time dependent temperature of the sphere, and t is thetime.The second term represents the convection heat loss at the outer surface of the sphere. In thesecond term, h is the convection coefficient, As is the surface area of the sphere, and T is
based upon work supported by the National ScienceFoundation under Grant Number 1720334.REFERENCES[1] National Research Council, A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. The National Academies Press, 2012.[2] Achieve Inc., Next Generation Science Standards Achieve, Inc. on behalf of the twenty- six states and partners that collaborated on the NGSS,, 2013.[3] E. R. Banilower, P. S. Smith, K. A. Malzahn, C. L. Plumley, E. M. Gordon, and M. L. Hayes, "Report of the 2018 NSSME+," Horizon Research, Inc, Chapel Hill, NC, 2018.[4] R. L. Custer and J. L. Daugherty, "Professional Development for Teachers of Engineering: Research and Related Activities," The Bridge, vol
) ℎ = 𝑐𝑐 sin 𝛿𝛿 Figure 6: The dimensions g and h can be related to r through the angle θ3. Figure 7: The dimensions g and h can be related to s through the angle 𝜃𝜃3 .Next, going back to the variables r and s defined earlier, we can write 𝑟𝑟 = 𝑔𝑔 cos 𝜃𝜃3 + ℎ sin 𝜃𝜃3 (25) 𝑠𝑠 = ℎ cos 𝜃𝜃3 − 𝑔𝑔 sin 𝜃𝜃3as shown in Figure 6 and Figure 7. We now have two equations with one unknown, θ3. Eachequation is transcendental and difficult to solve on its own. Therefore, we will employ a fewtricks to isolate θ3. First
anxiety can bedevastating, as mathematics is an important part of life [3]. Math anxiety can cause individuals toavoid math or situations that require analytical and rational thought [4]. Several studies havebeen carried out with elementary and grade school students to learn more about human reactionto mathematics [5], yet fewer studies have been done on college students or later. Furthermore,the majority of these research studies on college students focus on first-year students enrolled ina mathematics course [3]. The current study of this paper is focused on a less studied populationof engineering technology students, and their tendency to engage in rational-analytical thoughtprocesses.Literature ReviewIn the 1970’s researchers indicated that
less than 450 per year) and is housed within anddelivered via a 15,000 ft2 makerspace. The ENGR 110/111 sequence is relatively new, resultantfrom the desire to restructure the previous iteration of the institution’s introductory engineeringcourse. A key motivational factor in the desire to restructure included aspiration(s) to conform tomodern research in engineering education methodologies, especially the implementation of activelearning.Active learning has been defined as “any instructional method that engages students in the learningprocess”. Generally, active learning refers to activities that are introduced into the classroom, withthe core elements of student activity and engagement in the learning process. In summary, activelearning
Paper ID #30680Engendering Community to Computer Science Freshmen through an EarlyArrival ProgramProf. Alark Joshi, University of San Francisco Alark Joshi is an Associate Professor in the Department of Computer Science at the University of San Francisco. He was a co-PI on the IDoCode project (http://coen.boisestate.edu/cs/idocode/) that led to a change in the landscape of computer science teacher preparation and education in the state of Idaho. Currently, he is a co-PI on the S-STEM proposal focused on engaging students in the local community to enable successful outcomes for them with respect to courses and internships/jobs
- neering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and S-STEM and LSAMP programs.Mr. Russell Andrew Long, Russell Long, M.Ed. was the Director of Project Assessment at the Purdue University School of Engineer- ing Education (retired) and is Managing Director of The Multiple-Institution Database for Investigating Engineering Longitudinal Development (MIDFIELD). He has extensive experience in performance fund- ing, large data set analysis, program review, assessment and student services in higher education. One of his greatest strengths lies in analyzing data related to student learning outcomes and, therefore, to im- proving institutional effectiveness. His work with
authors and do not necessarily reflect the views of theNational Science Foundation. 6. References [1] S. L. Chu, R. Schlegel, F. Quek, A. Christy, and K. Chen, “‘I Make, Therefore I Am’: The Effects of Curriculum-Aligned Making on Children’s Self-Identity,” in Proc. of the 2017 CHI Conference on Human Factors in Computing Systems, 2017, pp. 109–120. [2] L. Martin, “The Promise of the Maker Movement for Education,” J. Pre-College Eng. Educ. Res., vol. 5, no. 1, Apr. 2015. [3] P. Blikstein and D. Krannich, “The makers’ movement and FabLabs in education: experiences, technologies, and research,” in Proc. of the 12th international conference on interaction design and children, 2013, pp. 613–616. [4] S. Papavlasopoulou, M. N
a STEM researchproject. National Science Foundation Middle/High School Student Attitudes Towards STEM (S-STEM) Survey [8] was used to assess the overall impact of the outreach program on the femalestudents’ self-confidence and motivation in pursuing future cross-disciplinary STEM careers.The results showed that the 21st Century skills related to critical-thinking, communication, andcollaboration was the section with the most radical improvement.Keywords: kinematics of mechanisms, protein kinematics, biomechanics, biochemistry, DNAnano-mechanismsIDEAL Online Summer Outreach Program Curriculum Plan and MethodsDuring the summer of 2019, mechanical engineering faculty and two undergraduate studentsfrom both NSM and ECS colleges offered a two
experimental design, data collection, and data analysis; (q) acompetence in the use of computational tools; (r) a knowledge of chemistry; and (s)knowledge of calculus-based physics.Outcome can be assessed at the “program level” [2] using standardized testing such asfundamental of engineering exam, or it can be pursued at the “course level”. To ensure theteaching quality of the outcome based mechanical engineering program, systematicassessment of engineering curriculum is needed. More importantly, faculty needs to improveteaching techniques so that the student learning of each course can be measured againstprogram outcomes. In the past eight years, the current authors have developed a technique to
by Virtool in our system at evenly spaced timeinstances. Our task here is to find the length of the cylinder, rij , joining i and j for a givenmotion trajectory, in terms of the global coordinate system, x-y-z. Specifically, the goalhere is to find the new position of the platform at ti, for the given changes in thetranslational and angular displacements of the water craft, defined from t i −1 to t i by ∆sand ∆θ as, ∆x ∆θ x ∆s = ∆y and ∆θ = ∆θ y (1) ∆z ∆θ z
new program. F ig u re 3 .0: R e te n tio n ra te v s n u m b er o f s e m e s te rs 1 0 0 ,0 % 1 0 0 ,0 % 9 5 ,0 % 9 2 ,2 % 9 0 ,0 % R e te n tio o n ra te 8 5 ,0 % 8 3 ,9 % 8 0 ,0 % 7 5 ,0 % 7 0 ,0 % 6 5 ,0 % 6 0 ,0 % 1 2 3
Professor of Meteorology Education: • Ph. D. Meteorology (1992), University of Wisconsin-Madison • M. S. Meteorology (1986), University of Wisconsin-Madison • B. S. Meteorology (1984), University of Wisconsin-Madison Research Interests: • Middle latitude cyclones (dynamic and synoptic meteorology) • Thunderstorm phenomena (mesoscale dynamics) • Air quality • Meteorological decision support systems that can be used by decision makers, planners, and emergency managers charged with protecting communities in the path of potentially adverse weather.Keith McCready , University of Northern Iowa Software Engineer, currently with Rockwell Collins, Inc. Education