focused on building robots that can workin hazardous environments, but they also learned about different majors that explore roboticsconcepts in manufacturing, as well as the application of hydraulics for flood gates.AcknowledgmentThe project team wants to acknowledge Virginia Space Grant Consortium for its partnership inand continuous funding for the ODU BLAST program. 7References:[1] R. S. Andersen, S. Bøgh, T. B. Moeslund, and O. Madsen, "Intuitive task programming of stud welding robots for ship construction," in Industrial Technology (ICIT), 2015 IEEE International Conference on, 2015, pp. 3302-3307: IEEE.[2] S. Pfeiffer, "Robots, Industry 4.0 and humans, or why assembly work
/10573560308223[11] D. H. Schunk (1991). Self-efficacy and academic motivation, Educational Psychologist, vol.26(3-4), pp. 207-231, DOI: 10.1080/00461520.1991.9653133[12] D. H. Schunk & C. A. Mullen (2012). Self-efficacy as an engaged learner. In S. L.Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp.219-235). New York, NY, US: Springer Science + Business Media, http://dx.doi.org/10.1007/978-1-4614-2018-7_10[13] E. Skinner & M. J. Belmont (1993). Motivation in the classroom: Reciprocal effect of teacherbehavior and student engagement across the school year, Journal of Educational Psychology, vol.85(4), Dec, 1993, pp. 571-581, DOI: 10.1037/0022-0663.85.4.571[14] E. Kahu (2013). Framing student
and for the motion of a system of 1 or 2 rigid accelerations (linear and rotational) of 2 or 3 bodies moving in the plane. (Includes use of interconnected rigid bodies. P1.) R3 – Apply ode45 to solve equations of motion Supplemental Skills (must pass all R skills before S skills improve grade) S1 – Analyze oblique impact between two S1.1 – Analyze oblique impact between two rigid bodies. rigid bodies. S2 – Solve for the kinetics of mass flow S1.2 – Utilize principles of energy and systems. momentum to solve for the motion of a S3 – Determine the angular momentum of a system of 1 or 2 bodies. rigid body moving in 3D
displays “Welcome to Java”p u b l i c c l a s s Welcome { p u b l i c s t a t i c v o i d main ( S t r i n g [ ] a r g s ) { System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) ; }}After applying the above transforms in program 5 and shuffling the valid and invalid line ofcodes, we get the following Parsons puzzle. System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) } }p u b l i c C l a s s Welcome { p u b l i c s t a t i c v o i d main ( S t r i n g [ ] a r g s ) {p u b l i c c l a s s Welcome { System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) ;p u b l i c s t a t i c c h a r main ( S t r i n g [ ] a r g s ) {Similarly, P P2 is mapped into a different Parsons puzzle, using the same mapping process
. 2001.[5] N. Cross, Designerly Ways of Knowing. London: Springer-Verlag, 2007.[6] D. Crismond and R. S. Adams, “A Scholarship of Integration : The Matrix of Informed Design,” J. Eng. Educ., vol. 101, no. 4, pp. 738–797, 2012.[7] S. R. Daly, R. S. Adams, and G. M. Bodner, “What Does it Mean to Design? A Qualitative Investigation of Design Professionals’ Experiences,” J. Eng. Educ., vol. 101, no. 2, pp. 187–219, 2012.[8] H. Wang, T. J. Moore, G. H. Roehrig, and M. S. Park, “STEM Integration : Teacher Perceptions and Practice STEM Integration : Teacher Perceptions and Practice,” J. Pre- 13 College Eng. Educ. Res., vol. 1
section, student-customized rockets outperformedthe unmodified baseline vehicle.At the class’s conclusion, 79 students (out of 107 enrolled) completed a computerizedanonymous indirect survey to self-assess their attitudes about the course specifically andengineering in general as a result of the rocket project. Results were lackluster compared toexpectations based on similar s novel classroom lesson pedagogical studies previouslyconducted. Only 54.4% of students reported increased interest in the class over the semester.62.0% reported improved understanding of the rocket design process. 57.0% reported being ableto see interconnections between science, math, engineering, and technology as a result of thecourse. Despite these disappointing results
. Malmberg, “Students’ qualification in environmental and sustainability education — epistemic gaps or composites of critical thinking?,” Int. J. Sci. Educ., vol. 38, no. 2, pp. 259–275, 2016.[30] S. Perini, M. Margoudi, M. Fradinho, O. Marco, and M. Dipartimento, “Increasing middle school students’ awareness and interest in manufacturing through digital game-based learning (DGBL),” Comput. Appl. Eng. Educ., no. January, 2017.[31] L. Stanszus et al., “Education for sustainable consumption through Mindfulness Training: Development of a consumption-specific Intervention,” J. Tea, vol. 19, no. 1, pp. 5–22, 2017.[32] C. Ormond et al., “Environmental education as Teacher Education: Melancholic reflections from an emerging
] N. A. o. E. 2005, Engineering Research and America's Future: Meeting the Challehges of a Global Economy. Washington, DC: The National Academies Press, 2005.[2] J. Estrin, Closing the innovation gap : reigniting the spark of creativity in a global economy / Judy Estrin. New York, NY: McGraw-Hill, 2009, p. 254.[3] N. S. Foundation, "Preparing the Next Generation of STEM Innovators: Identifying and Developing our Nation’s Human Capital," National Science Foundation, p. 62, 2010.[4] T. Haertel, C. Terkowsky, and I. Jahnke, "Where have all the inventors gone?," Proceedings of ICL, pp. --, 2012.[5] A. A. Astin, Helen S., "Undergraduate Science Education: The Impact of Different College Environments on the
Civil and Environmental Engineering Researchers at Two Canadian UniversitiesIntroductionIn the fall of 2017 and winter of 2018, librarians from the University of Toronto (U of T) andUniversity of Waterloo (Waterloo) interviewed civil and environmental engineering researchersat their respective institutions to learn about their research practices and needs [1], [2]. All of theresearchers interviewed are tenured or tenure stream faculty with the title of Assistant, Associate,or full Professor. The interviewees will be referred to as “researchers” for the most partthroughout this paper because that is the preferred term in the contexts described. The interviewswere part of a larger study facilitated by Ithaka S+R, a not-for
expectations. Engagement according toSmith et al.’s [11] model depends on the effectiveness of teams, as students work in learningcontexts that require high activity and problem-solving. In addition to these functional definitions of engagement, an assessment instrument hasalso been developed in order to standardize definitions and measurement of engagement in highereducation. The National Survey of Student Engagement (NSSE) was developed in 2000 to assessundergraduate student engagement [21]. It consists of four themes with indicators that defineengagement: (1) academic challenge, with the indicators of higher-order learning, reflective &integrative learning, learning strategies, and quantitative reasoning; (2) learning with peers, withthe
of the LelandStanford Junior University. The opinions expressed are those of the authors and do not representviews of the Institute or the U.S. Department of Education or the Board of Trustees of the LelandStanford Junior University.References[1] K. Crenshaw, “Demarginalizing the intersection of race and sex: A black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics,” University of Chicago Legal Forum, 140, pp. 139-167, 1989.[2] E. Pascarella, L. S. Hagerdorn, E. Whitt, P. M. Yeager, M. I. Edison, P. T. Terenzini, A. Noura, “Women's Perceptions of a "Chilly Climate" and Their Cognitive Outcomes during the First Year of College,” Journal of College Student Development, 38(2
Activity-based (A) vs. passive (P)3 Stand-alone (S) vs. Instructor-led #8: Hazard eval., risk assessment Relevant to Other Courses (Y/N
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
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
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
reprints for government purposes notwithstanding any copyright notation hereon.Finally, the authors would like to thank the students that took EMSD course at CMU in the fall2018 semester for their useful feedback.Bibliography[1] Frank, M., Sadeh, A., and Ashkenasi, S., 2011, "The relationship among systems engineers' capacityfor engineering systems thinking, project types, and project success," Project Management Journal, 42(5),pp. 31-41.[2] Monat, J., and Gannon, T., 2018, "Applying Systems Thinking to Engineering and Design," Systems,6(3), p. 34.[3] Aurigemma, J., Chandrasekharan, S., Nersessian, N. J., and Newstetter, W., 2013, "Turningexperiments into objects: The cognitive processes involved in the design of a lab‐on‐a‐chip device,"Journal of
] Committee on Revitalizing Graduate STEM Education for the 21st Century, Board on Higher Education and Workforce, Policy and Global Affairs, and National Academies of Sciences, Engineering, and Medicine, Graduate STEM education for the 21st century. Washington, D.C.: National Academies Press, 2018.[8] J. L. Lott, S. Gardner, and D. A. Powers, “Doctoral student attrition in the stem fields: an exploratory event history analysis,” Journal of College Student Retention: Research, Theory & Practice, vol. 11, no. 2, pp. 247–266, Aug. 2009.[9] E. Crede and M. Borrego, “Learning in Graduate Engineering Research Groups of Various Sizes,” J. Eng. Educ., vol. 101, no. 3, pp. 565–589, Jul. 2012.[10] E. Horowitz, N. Sorensen, N
multicultural curriculum predict current attitudes and activities," Journal of College Student Development, vol. 51, no. 4, pp. 385-402, 2010.[12] P. Gurin, "Expert Report. "Gratz et al. v. Bollinger, et al." No. 97-75321 (E.D. Mich.); "Grutter, et al. v. Bollinger, et al." No. 97-75928 (E.D. Mich.)," Equity & Excellence in Education, vol. 32, no. 2, pp. 36-62, 09/01/ 1999.[13] S. Hurtado, "Linking diversity and educational purpose: how diversity affects the classroom environment and student development," in Diversity Challenged: Evidence on the Impact of Affirmative Action, G. Orfield, Ed. Cambridge, MA: Harvard Education Publishing Group, 2001, pp. 187-203.[14] C. Herring, "Does diversity pay?: Race
Morals, Values & Ethics - YourMorals.Org.” [Online]. Available: https://www.yourmorals.org/index.php. [Accessed: 04-Feb-2019].[3] J. Graham, B. A. Nosek, J. Haidt, R. Iyer, S. Koleva, and P. H. Ditto, “Mapping the Moral Domain,” J. Pers. Soc. Psychol., 2011.[4] “The Moral Sense Test.” [Online]. Available: http://www.moralsensetest.com/. [Accessed: 04-Feb-2019].[5] “Moral Machine.” [Online]. Available: http://moralmachine.mit.edu/. [Accessed: 04-Feb- 2019].[6] E. Awad et al., “The Moral Machine experiment,” Nature, vol. 563, no. 7729, pp. 59–64, 2018.[7] A. Schleicher, “China opens a new university every week,” BBC, 16-Mar-2016. [Online]. Available: http://www.bbc.com/news/business-35776555
Differences and the Differences They Make” Journal of Technology Transfer, 31, 325–333, 2006.[2] C. Corbett, & C. Hill. “Solving the equation: The variables for women’s success in engineering and computing”. Washington, DC: American Association of University Women, 2015.[3] L. Babcock, L., & S. Laschever, “Women don’t ask: The high cost of avoiding negotiation and positive strategies for change”. New York, NY: Bantam Books, 2007.[4] C A. Moss-Racusin, J. F. Dovidio, V. L. Brescoll, M. J. Graham, & J. Handelsman, “Science faculty’s subtle gender biases favor male students”. Proceedings of the National Academy of Sciences, vol. 109, no. 41, pp. 16474–16479, 2012.[5] S. Cheryan, S. A. Ziegler, A. K. Montoya, and L. Jiang
Paper ID #27140Impact of a Research Experience Program in Aerospace Engineering on Un-dergraduate Students: Year TwoDr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, worked at Argonne National Lab, 1996-1997, taught at Chicago State University, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engi- neering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice Boltzmann methods for studying
scalefrom 1, very inaccurately, to 7, very accurately. A higher score in each personality trait shows thestudent’s personality is strong in that trait.Grit: This construct was proposed by the psychologist Angela Duckworth and is defined as thepassion and perseverance for long-term goals.13 Grit is usually unrelated or inversely related tointelligence or talent. The two subcategories of grit are consistency of interest and perseverance ofeffort. Perseverance of effort is a superior predictor of GPA while consistency of interest is a betterpredictor of number of lifetime career changes.14 Undergraduates who scored higher in Grit alsoearned higher GPAs than their peers despite having lower SAT scores.13 The Grit-S (short gritscale), which is comprised