Mechanical Engineering. He has been actively engaged in teaching, research and curricula development since joining the LSU faculty in 1988. As Associate Dean in the College of Engineering (2004-2014), he acquired sig- nificant funding from NSF to support the development of several initiatives aimed at improving student retention and graduation rates as well as supporting faculty with development of effective learning and teaching pedagogies. c American Society for Engineering Education, 2017 BRCC to LSU Engineering Pathways to SuccessABSTRACTThe National Science Foundation (NSF) S-STEM scholarship program, Engineering Pathway toSuccess, is a joint effort of the College of
example of devising the laplacetransfer function of a second order continuous system for a desired performance and then converting itto discrete system: with zero steady state error, a 2% settling time of 0.5 seconds and 5% overshoot andthen convert to the discrete system. Step ResponseH= 134.4 1.2 1 --------------------------- 0.8 s^2 + 16 s + 134.4
. Perdigones, D. Valera, G. Moreda and J. Garcia, "Competences in demand within the Spanish agricultural engineering sector," European Journal of Engineering Education, vol. 39, no. 5, pp. 527-538, 2014.[13] H. Passow and C. Passow, "What Competencies Should Undergraduate Engineering Programs Emphasize? A Systematic Review," Journal of Engineering Education, vol. 106, no. 3, pp. 475-526, 2017.[14] A. González-Marcos, Alba-Elías F. and J. Ordieres-Mere, "Learning project management skills in engineering through a transversal coordination model," International Journal of Engineering Education, vol. 32, no. 2, pp. 894-904, 2016.[15] S. Haase, H. Chen, S. Sheppard, A. Kolmos and N. Mejlgaard, "What does it take to become a good
skills.References[1] J. M. Santiago and J. Guo, "Online Delivery of Electrical Engineering Courses Using the Online Flipped Classroom Approach," in 2017 ASEE Annual Conference & Exposition, Columbus, OHIO, 2017.[2] K. M. S.-L. J. R. Y. Andrea L. Welker, "Weaving Entrepreneurially Minded Learning Throughout a Civil Engineering Curriculum," in ASEE Annual Conference and Exposition, Columbus, Ohio, 2017.[3] S. E. Zappe, R. M. Leicht, J. Messner, T. Litzinger and H. W. Lee, "flipping" the classroom to explore active learning in a large undergraduate course, ASEE Annual Conference and Exposition, Conference Proceedings, 2009.[4] B. Kerr, "The flipped classroom in engineering eductation: A survey of research," in Internation Conerence on
, “Developmental trajectories of math anxiety during adolescence: Associations with STEM career choice,” J. Adolesc., vol. 67, no. August 2017, pp. 158–166, 2018.[7] L. Farrell and L. McHugh, “Examining gender-STEM bias among STEM and non-STEM students using the Implicit Relational Assessment Procedure (IRAP),” J. Context. Behav. Sci., vol. 6, no. 1, pp. 80–90, 2017.[8] M. Te Wang and J. L. Degol, “Gender Gap in Science, Technology, Engineering, and Mathematics (STEM): Current Knowledge, Implications for Practice, Policy, and Future Directions,” Educ. Psychol. Rev., vol. 29, no. 1, pp. 119–140, 2017.[9] M. Te Wang, J. S. Eccles, and S. Kenny, “Not Lack of Ability but More Choice: Individual and Gender Differences
seated mode to change the time of dayand thus change the shadow perceptions of the space and ultimately be able to visuallyexperience the expected full shading result (Figure 5).Figure 5: Understand fenestrations, building shading and their effect/s on energy use and comfortModule Five Procedures: 1. Students will investigate the most effective way to reduce solarradiation on building fenestrations and to intercept direct radiation from the sun. This processwill overlook both building shading and precise window shading; 2. Use a 3d software (to beselected by students) to generate preselected model by instructors. (Based on theoreticalinformation provided in class, students to design preliminary shading devices, they expect toprovide complete
university and into first careers. In addition, thisstudy will be repeated with additional cohorts to better understand year-to-year variability in studentperception, major choices, and certainty levels.References: 1. Meyers, K. (2016). A Course to Promote Informed Selection of an Engineering Major using a Partially Flipped Classroom Model. Journal of STEM Education, 17(3). 2. Meyers, K., & Brozina, S. (2017). Supporting an Informed Selection of an Engineering Major. Paper presented at the American Society for Engineering Education Annual Conference, Columbus, OH. 3. Seymour, E., Hewitt, N. M., & Friend, C. M. (1997). Talking about leaving: Why undergraduates leave the sciences (Vol. 12). Boulder, CO
theirprofession is also reviewed.History of SMET, STEM & STEAMIn 2001, the acronym formally known as SMET turned into STEM (Science, Engineering,Technology, and Mathematics)[2]. However, this grouping has been recognized in educationalreports since the 1980’s [2]. STEM had been developed by the National Science Foundation(NSF) to group together these disciplines based on the common use of critical thinking andproblem-solving skills [2, 3]. The disciplines that make up STEM are distinct but linked, withthose in engineering also studying physics, chemistry and other sciences and math being studiedin all disciplines [4]. Noticeably absent from this group is the arts, which is not recognized to bepart of STEM.In order to compare ET students to their
teaching, learning, and retention of first-year students,” Journal of Faculty Development, vol. 21, no. 1, pp. 5–21. 2007[5] E. Bettinger, C. Doss, S. Loeb, A. Rogers, and E. Taylor, “The effects of class size in online college courses: Experimental evidence,” Economics of Education Review, vol. 58, pp. 68–85, Jun. 2017.[6] R. Zaurin, “Preparing the Engineering Student for Success with IDEAS: A Second Year Experiential Learning Activity for Large-size Classes,” in 2015 IEEE Frontiers in Education Conference (FIE), Camino Real El Paso, El Paso, TX, USA, 2015 p. 21.[7] S. Huang and E. Pierce, “The impact of a peer learning strategy on student academic performance in a fundamental engineering course,” in 2015
re-writing their goals using the technique. Some of these pre andpost goals were written on the board and as a class, the instructors, peer mentors, and studentsgot to discuss whether they thought the post-goals were better and why. This was effective athelping students to better define and enhance their own individual goals in practical ways, and inconsideration of academic excellence, and the upcoming year(s) in general, as appropriate. Thetentative assignment was to use the “S.M.A.R.T.” technique to form goal(s) for the semester andyear. Further, students were to continue to update their BP notebooks and complete select G4.0activities.Weeks 4 -5 By week 4, upon conferring with the instructors and Peer Mentors, it was decided
an Associate Professor in and Chair of the Psychology Department at Seattle University. Dr. Cook received her doctorate in Social and Personality Psychology from the University of Washington, with a minor in quantitative methods and emphases in cognitive and educational psychology. Her research has included classroom learning, person perception, identity, and health perceptions.Dr. Gregory Mason P.E., Seattle University Gregory S. Mason was born and raised in Spokane Washington. He 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 digital
Education, vol. 90, no. 2, pp. 223–229, 2001. [5] J. L. Hess and G. Fore, “A systematic literature review of us engineering ethics interventions,” Science and Engineering Ethics, vol. 24, pp. 551–583, Apr 2018. [6] S. Sheppard, K. Macatangay, A. Colby, W. Sullivan, and L. Shulman, Educating Engineers: Designing for the Future of the Field. Jossey-Bass/Carnegie Foundation for the Advancement of Teaching, Wiley, 2008. [7] B. E. Barry and M. W. Ohland, “Abet criterion 3.f: How much curriculum content is enough?,” Science and Engineering Ethics, vol. 18, pp. 369–392, Jun 2012. [8] S. M. Culver, I. K. Puri, R. E. Wokutch, and V. Lohani, “Comparison of engagement with ethics between an engineering and a business program,” Science and
field.References[1]. National Science Board, “Science and Engineering Indicators 2018”. NSB-2018-1. Alexandria, VA: National Science Foundation. Available at https://www.nsf.gov/statistics/indicators/.[2]. J. McFarland, B. Hussar, X. Wang, J. Zhang, K. Wang, A. Rathbun, A. Barmer, E. Forrest Cataldi, and F. Bullock Mann, “The Condition of Education 2018” (NCES 2018-144). U.S. Department of Education. Washington, DC: National Center for Education Statistics. Retrieved from https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2018144.[3]. V. Lundy-Wagner, “Developmental Mathematics and the Community College STEM pipeline”, ASEE Conference, Indianapolis, IN, June, 2014.[4]. L. Jimenez, S. Sargrad, J. Morales
Paper ID #15123A Workshop to Aid High School Science Teachers in Developing EngineeringDesign Activities (Evaluation)Dr. Kathleen A. Harper, The Ohio State University Kathleen A. Harper is a senior lecturer in the Department of Engineering Education at The Ohio State University. She received her M. S. in physics and B. S. in electrical engineering and applied physics from Case Western Reserve University, and her Ph. D. in physics from The Ohio State University. She has been on the staff of Ohio State’s University Center for the Advancement of Teaching, in addition to teaching in both the physics department and college of
find the motivation in order to get certification.References[1] Seetha, S. (2012). Communication Skills for Engineers in Global Arena. International Journal on Arts, Management and Humanities, 1(1), 1-6.[2] Dukhan N, Rayess N. On teaching non-technical skills for the engineers of 2020, QScience Proceedings (World Congress on Engineering Education 2013) 2014:9 http://dx.doi.org/10.5339/qproc.2014.wcee2013.[3] Gell-Mann, M. (1996). A commentary to R Schank. In J.Brockman (Ed.), The third culture: beyond the scientific revolution. New York: Touchtone Books, 167–180.[4] Bloom, B. S. (1956). Taxonomy of educational objectives, book 1, cognitive domain. New York: Longman.[5] Good, T. L. & Brophy, J. E. (1990
Investigating Student Learning (ISL) Program was funded by the University of Michigan Office of theProvost, the Center for Research on Learning and Teaching, and the College of Engineering.1. Borrego, M., Karlin, J., McNair, L. D., & Beddoes, K. (2013). Team effectiveness theory from Industrial and Organizational Psychology applied to engineering student project teams: A research review. Journal of Engineering Education, 102, 472-512.2. Davis, D., Trevisan, M., Gerlick, R., Davis, H., McCormack, J., Beyerlein, S., … Brackin, P. (2010). Assessing team member citizenship in capstone engineering design courses. International Journal of Engineering Education, 26(4), 771-783.3. Schultz, T. (1998). Practical problems in organizing students
Foundation under Grant No. NSF 14-32426,14-31717, and 14-31609. Any opinions, findings, conclusions or recommendations expressed in the materialsprovided are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. understand and assess the students’ STEM affect. Each component of the theoretical frameworkis described in the following paragraphs.STEM-literacy for the 21st Century is multifaceted and includes content knowledge and habits ofmind5. For the purpose of this study, we refer to STEM-literacy as the union of students’understanding of STEM content and their ability to reason critically about structures using civilengineering principles. The STEM content relevant to the Structures course was
the beans are semi cylindrical, they won’t be tightly packed in the bottle, approximately80% of the volume of the bottle will be occupied. We can divide the occupied volume of thebottle by the volume of a single bean, to find out how many jelly beans are in the bottle. ! !Volume of one jelly bean =1.5𝑐𝑚 × 3 × 𝑐𝑚 × 𝑐𝑚 = 1.125𝑐𝑚L " "Occupied volume of bottle 0.90 × 1000𝑐𝑚L = 900 𝑐 𝑚LNOOPQRST UVWPXS VY ZV[[WS 2bb OXc = = 800 beans\VWPXS VY S]O^ _SWW` ZS]a !.!"d OXcSo we can estimate that there are 800
: b n ∫ f ( x)dx = lim ∑ f (a + i∆x)∆x. a n→∞ i =1This definition will be called the limit definition of Riemann integral throughout this work. Thisdefinition of Riemann integral is taught at early stages of calculus education, therefore Riemannsum approximation needs to be known by the Numerical Methods/Analysis students to be able tosolve a question related to the Riemann integral’s limit definition.___________________________________________________________________________Special thanks to Drs. Deborah A. Trytten and Gizem S. Aydin for their valuable discussions and input during thepreparation of the IRB approved form.This definition
, interested readers are welcome to contact the authorswho will be happy to share lesson plans and suggestions.References 1. National Math and Science Initiative. (2013). Increasing the achievement and presence of under- represented minorities in STEM fields. Report by the National Math and Science Initiative. 2. Crawford, M. Transformations: Women, Gender and Psychology. New York: McGraw-Hill: 2006. 3. Nassar-McMillan, S. C., Wyer, M., Oliver-Hoyo, M., Schneider, J. (2011). New tools for examining undergraduate students’ STEM stereotypes: Implications for women and other underrepresented groups. New Directions for Institutional Research, 2011(152), 87-98. 4. Blickenstaff, J. C. (2005). Women and science careers
Communications and Technology, 3rd Ed.,(485-506), New York: Lawrence Erlbaum Associates.11 Jonassen, D. (2011). Supporting problem solving in PBL. Interdisciplinary Journal of Problem-Based Learning,5(2), 95-112.12 Bergmann, J., & Sams, A. (2012). Flip your Classroom Reach Every Student in Every Class Every Day.Eugene, OR: International Society for Technology in Education.13 Velegol, S., Zappe, S., & Mahoney, E. (2015). The Evolution of a Flipped Classroom: Evidence-BasedRecommendations. Advances in Engineering Education, 4(3).14 Collins, A., Brown, J., & Newman, S. (1989). Cognitive Apprenticeship: Teaching the Crafts of Reading,Writing, and Mathematics, In L. Resnick (Ed.), Knowing, Learning, and Instruction: Essays in Honor of
University, VA USA ANASTASIA P. SAMARAS is Professor of Education in the College of Education and Human Develop- ment at George Mason University, USA. She is an educational researcher and pedagogical scholar with signature work in self-study research methodology including co-editor of Polyvocal Professional Learn- ing through Self-Study Research (2015) and author of Self-Study Teacher Research (2011) and lead editor of Learning Communities In Practice (2008). She is recipient of the Dissertation Research Award, Uni- versity of Virginia, the Outstanding Scholar Award, University of Maryland, a Fulbright Scholar, and a Visiting Self-study Scholar. She served as chair of S-STEP from 2013-2015 and is a current Co-PI of two
currently interns for thecompletion of the project in various aspects of installation. In addition, after the project iscompleted, an important future work is the thorough analysis of the solar PV system’soperational characteristics in terms of actual savings and carbon foot print reduction through theeducational component available to the campus community.Bibliography1. National Renewable Energy Laboratory’s PVWatts Calculator: http://pvwatts.nrel.gov/2. Frank Andorka, “Increasing Your Array-To-Inverter Ratio Improves Solar Economics,” Solar Power World, June 24, 2013. Available at http://www.solarpowerworldonline.com/2013/06/supersize-it-oversize-your-array- to-inverter-ratio-to-improve-solar-system-performance/3. U. S. Energy
-velocityvisualization while the solver was running, providing a video of the simulation.The general settings chosen in ANSYS Fluent were for both steady state and transient study inthe 2D plane, and the viscous laminar model was also used. Gravitational acceleration was set inthe general settings with a y-component of -9.81 m/s2. The rectangular computational domainwas the same as the projected area in the experiments with dimensions of 464 mm in width and232 mm in height, which was used in all of the trials. The inlet velocities along the ceiling wallwere set to be 1, 2, 4, and 8 m/s, and the computational domain was meshed using a biased meshin the vertical direction. The simulations were run with a time step of 0.01 s during 500 timesteps for a total of 5
constructs in career research: A measurement guide. Journal of Career Assessment, 14, 12-35.6. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.7. Lent, R. W. (2005). A social cognitive view of career development and counseling. In S. D. Brown & R. W. Lent (Eds.). Career development and counseling: Putting theory and research to work (pp. 101-127). Hoboken, NJ: John Wiley & Sons.8. Lent, R., Brown, S. & Hackett, G (1994). Towards a unifying social cognitive theory of career, academic interest, and performance. Journal of Vocational Behavior, 45, 79-122.9. Capraro, R., Capraro, M., & Morgan, J., Eds. (2013). STEM project-based
Grant1540298. 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 NSF.Bibliography 1. Babidge, S. 2013. “Socios”: The Contested Morality of “Partnerships” in Indigenous Community-Mining Company Relations, Northern Chile. The Journal of Latin American and Caribbean Anthropology, 18(2), 274–293. 72. Baillie, C. 2011. A multidisciplinary approach to curriculum development for engineering graduates who are socially and environmentally just. 2011 ASEE Annual Conference and Exposition.3. Blowfield, M., & Frynas, J. G
number of different textbooks andresources1,2,3 and is not addressed in further detail in this paper but flagged as a topic forseparate examination and discourse.As previously mentioned, the University of Idaho requires a one-credit, two hour perweek, Introduction to Civil Engineering course (CE 115) for all students pursuing adegree in civil engineering. The intent of this course is to introduce the student to thebroad field of civil engineering and provide new opportunities to develop a skill set thatwill help foster individual growth and learning. This course assists the student indetermining the area(s) of emphasis that he or she might want to follow for his or herbachelor’s degree, and introduces the student to problem solving skills
ScienceFoundation.References1. Klingbeil, N. W., Mercer, R. E., Rattan, K. S., Raymer, M. L. & Reynolds, D. B. Rethinking engineering mathematics education: A model for increased retention, motivation and success in engineering. in ASEE 2004 Annual Conference and Exposition, ‘Engineering Researchs New Heights’, June 20, 2004 - June 23, 2004 (American Society for Engineering Education, 2004).2. Klingbeil, N. W., Mercer, R., Rattan, K., Raymer, M. & Reynolds, D. Redefining engineering mathematics education at Wright State University. in 113th Annual ASEE Conference and Exposition, 2006, June 18, 2006 - June 21, 2006 (American Society for Engineering Education, 2006).3. Klingbeil, N. W., Mercer, R. E., Rattan, K. S., Raymer, M. L
interests. Model 2 for eachmeasure indicates the final model considering only significant variables and excluding non-significant variables, implying no relationship between variables. According to Brown’ s 25 guideon fit indexes, all model fits were in good ranges: Chi-square values were not significant; theRMSEA was all in an acceptable range, which is defined as 0.08 or less; CFI and TLI were in agood-fit range, defined as 0.95 and over; and SRMR was close to 0.0, indicating an excellent fit.Table 6. Path Models with Goodness-of Fit Indexes SKT EIDS Academy EIDS Engineering Page
shift, receiver position, and velocity. The high rate data arerecorded typically at 100 Hz (100 samples per second). Data types included in the high rate dataare the in-phase accumulation (I), quadrature accumulation (Q), and phase. The fullspecifications and characteristics of CASES receiver are described in detail in [10].Amongst other outputs, the CASES receiver provides the ability to obtain raw GNSS data (e.g., Page 26.819.6L1, L2 phase observables and range observables) and also data for accessing atmospheric effects(e.g. TEC, individual channel carrier to noise power ( C / N 0 ), amplitude scintillation index ( S 4