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
use constructs of affect to i This material is based upon work supported by the National Science 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
facultyclassroom practice (RTOP Z-score). This study also found that faculty classroom practice isrelated to student outcomes and that student-centered teaching practices are related to bettergrades and less course withdrawals. In other words shifting faculty practices towards student-centeredness would likely lead to lower percentages of DEW student grades. Providing effectivefaculty development opportunities in student-centered instruction is therefore highlyrecommended in order to mend the gap between faculty beliefs and practice and to promote morepositive student outcomes.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1226586.Bibliography1 M. L. Blanton, S. Westbrook and G. Carter, "Using
Engineeringstudents. In the future, we will make more effort on generating interdisciplinary projects bystudents and faculty from different disciplines.AcknowledgmentThe project activities were funded by the Sacramento State University Enterprises, Inc. (UEI)Campus Grant Program. The authors are grateful to Sacramento State University College ofEngineering for their support on providing the space and the facility for pursuing our projects.References1. Kuribayashi, K., 1989, “Millimeter Size Joint Actuator using Shape Memory Alloy,” Proc. IEEE An Investigation of Micro Structures, Sensors, Actuators, Machines and Robots, Salt Lake City, UT, pp. 139 – 144.2. Tanner, J., Grames, C., Jensen B. D., Magleby, S. P., and Howell, L. L., 2015, “Millimeter
on Homework Submissions. Error bars represent plus and minus one standard deviation.To determine whether homework assignment performance is related to exam performance, amultiple linear regression is conducted to predict exam score as a function of performance on thefive components of the homework rubric: solution, personalization, integration, thoughtfulpuzzle, and communication (style, usage, and layout). The form of the regression equation isgiven by Equation 1, [1]where E, S, P, I, T, and C are the student’s average exam, (homework) solution, personalization,integration, thoughtful puzzle, and communication scores
., & Rogers, C. (2010). The benefits of model building in teaching engineering design. Design Studies, 31(3), 288-309. 3. Steif, P. S., & Dantzler, J. A. (2005). A Statics Concept Inventory: Development and Psychometric Analysis. Journal Of Engineering Education, 94(4), 363-371. 4. Steif, P. S., & Hansen, M. A. (2006). Comparisons between performances in a statics concept inventory and course examinations. International Journal Of Engineering Education, 22, 1070-1076. 5. Steif, P. S., & Hansen, M. A. (2007). New practices for administering and anlyzing the results of concept inventories. Journal Of Engineering Education, 96(3), 205-212. 6. Dollár, A., & Steif, P. S. (2006). Learning
. The actions that a student takes ina learning cycle are not normally provided for assessment in a traditional setting, but theprocedures explained here allows those actions to be recorded.References1. Butler, D. L., and Winne, P. H. (1995) Feedback and Self-Regulated Learning: A Theoretical Synthesis, Review of Educational Research 65, 245-281.2. Shute, V. J. (2008) Focus on Formative Feedback, Review of Educational Research 78, 153-189.3. Nicol, D. J., and Macfarlane‐Dick, D. (2006) Formative assessment and self‐regulated learning: A model and seven principles of good feedback practice, Studies in higher education 31, 199-218.4. Thurlings, M., Vermeulen, M., Bastiaens, T., and Stijnen, S. (2013) Understanding
additional weekfor completion, the project can be expanded to include more variables: additional trussgeometries, which inclueds member orientation, length, and thickness. In addition, an instructorcan require each individual group to 3D print their own truss (rather than simply demonstratingthe printing procedure and conducting the failure loading test of the two optimized trusses). Thistype of expansion, of course, will require a significant time investment. It typically takes onehour to print the members needed to fully erect the truss at normal printing speeds (60-80 mm/s).The time required to train the teaching assistant (TA) to install and troubleshoot the 3D printer,and work with the g-code generator should take approximately 5-10 hours
. (2004). Learning to Solve Problems: An Instructional Design Guide. San Francisco, CA: Pfeiffer.5. Jonassen, D.H. (2000). Toward a design theory of problem solving. Educational Technology Research and Development, 48(4), 63-856. Benson, L. C. S.J. Grigg, and D. R. Bowman. (2011). CU Thinking: Problem-Solving Strategies Revealed. Proceedings of the 2011 ASEE Annual Conference, Vancouver, Canada.7. .Burtner, J. (2005). The Use of Discriminant Analysis to Investigate the Influence of Non-Cognitive Factors on Engineering School Persistence. Journal of Engineering Education, 94(3): 335−338.8. Honken, N., & Ralston, P. A. S. (2013). Freshman engineering retention: A holistic look. Journal of STEM
’ positions, the height of the water varies accordingly (Figure 2).After measuring the heights of the fluid in each of the tubes, the airfoil’s pressure distributionmay be computed.ANSYS CalculationsUsing several tutorials and the professor’s instruction, one of the students conducted analysis ofthe NACA 2412’s aerodynamics on ANSYS’s Fluid Flow (Fluent) solver. Rather than rotatingthe wind velocity’s angle of attack, a formula was derived to rotate the base coordinates of theNACA 2412 by a certain angle ϴ. This method ensured the most consistent mesh across allangles that were tested. After importing the airfoil’s rotated coordinates, a mesh was generatedthat would strategically measure the aerodynamics of the airfoil at key regions. Across all
in this survey were collected and are currentlybeing analyzed in accordance with the findings presented here in hopes of further developingour understanding of these learners.AcknowledgementThis work was made possible by grants from the National Science Foundation (PRIME #1544259 and EEC #1227110). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.Bibliography1. Zutshi, S., O'Hare, S., & Rodafinos, A. (2013). Experiences in MOOCs: The perspective of students. American Journal of Distance Education, 27(4), 218–227. doi:10.1080/08923647.2013.8380672. Liyanagunawardena, T. R., Adams, A. A., &
-automation.com 5. Esposito, Anthony, Fluid Power with Applications, 7th Edition, 2009, Pearson Prentice Hall, Upper Saddle River, NJ, Columbus, OH 6. He, S., & Rahemi, H., & Mouaouya, K. (2015, June), Teaching PLC Programming and Industrial Automation in Mechatronics Engineering Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington. 10.18260/p.24820 https://peer.asee.org/24820 7. Kadir, H., & Hossain, M. J., & Das Sharma, N., & Khan, S. J., & Hossain, A. (2015, June), Programming a Six-Axis Motoman HP3C Robot for Industrial Sorting Application Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington. 10.18260/p.24598 https
., Follman, D. K., Sumpter, M., Bodner, G. M. (2006). Factors Influencing the Self-Efficacy Beliefs of First-Year Engineering Students. Journal of Engineering Education, 95(1), 39-4.9. Pleiss, G.; Perry, M.; Zastavker, Y.V., "Student self-efficacy in introductory Project-Based Learning courses," Frontiers in Education Conference (FIE), 2012, vol., no., pp.1,6, 3-6 Oct. 201210. Freeman S, et al. (2014) Active learning increases student performance in science, engineering, and mathematics. Proc Natl Acad. Sci. USA 111:8410–8415.11. Dym, C., Agogino, A., Eris, O., Frey, D., & Leifer, L. (n.d.). Engineering Design Thinking, Teaching, and Learning. Journal of Engineering Education, 103-120.12. Carberry, A. R., Lee, H. S., Ohland, M. W
Publication Type Journal, Dissertation, or Thesis Year Year of publication (as opposed to the year of data collection) State(s) State(s) where data was collected from Participants Participants involved in the study Research Focus Focus of the research study (e.g., abilities, motivations) Focus (narrowed) A finer categorization than above (e.g., students’ abilities) Research Methods The type of research conducted (e.g., Quantitative, Qualitative, Both) Sample Size Total sample size of PLTW-affiliated participants Internal Comparison Whether the study compared PLTW internally (e.g., by demographics) If so, what? What were the comparative variables used (e.g
8TS 9TS 10TS 2TS 3TS S 5TS t Figure 9 – Ideal sampling of a continuous signal f(t) (dashed) with a sampling period TS.where the train of unit impulse functions has a sampling period equal to TS. By definition, eachimpulse function is an extremely high (infinite) amplitude continuous signal occurring over anextremely small period of time, and having the characteristic property that its integral over all times(called weight) is equal to one. Typically, this impulse function is graphically represented by anarrow pointing vertically, and located at the sampling instant (Figure 9).We
robotic stacker system was delivered to Nucor Steel plant to be installed at Press #2 ofthe production line in highway products division. References:1. Bai, T., Zhu, J., Varma, V., “Characteristics of capstone design projects at universities in US and China: An Analysis”, ASEE Annual Conference & Exposition (ASEE 2007), AC 2007-17552. Dutson, A., Todd, R., Magleby, S., Sorensen, C., “A review of literature on teaching engineering design through project-oriented capstone courses,” J. of Engineering Education, Jan. 1997, pp. 17.3. Pomberger, G., “Software Engineering Education — Adjusting our Sails,” Education and Computing, vol. 8, no. 4, 1993, pp. 287-294.4. Thorpe, J. F., “Design of
. “Adaptive Thinking & Leadership Simulation Game Training for Special Forces Officers.” I/ITSEC 2005 Proceedings, Interservice/ Industry Training, Simulation and Education Conference Proceedings, November 28-December 1, 2005 Orlando, Florida, USA. 3. Aebersold, M. and D. Tschannen. “Simulation in Nursing Practice: The Impact on Patient Care.” The Online Journal of Issues in Nursing, Vol. 18, No. 2, 2013. 4. Shaw, Carolyn M. "Designing and Using Simulations and Role-Play Exercises." The International Studies Compendium. Ed: Robert A. Denemark. Wiley – Blackwell, 2010. 5. S. Kumar, and J. K. Hsiao. Engineers Learn “Soft Skills the Hard Way: Planting a Seed of Leadership in Engineering Classes.” Leadership
. Washington, D.C.: National Academies Press.4. Ohland, M. W., Sheppard, S. D., Lichtenstein, G., Eris, O., Chachra, D., & Layton, R. A., Persistence, engagement, and migration in engineering programs, Journal of Engineering Education, 2008, Vol. 97, No. 3, pp. 259-278.5. Marra, R. M., Rodgers, K. A., Shen, D., & Bogue, B., Leaving engineering: A multi-year single institution study, Journal of Engineering Education, 2012, Vol. 101, No. 1, pp. 6-27.6. Atman, C. J., Sheppard, S., D., Turns, J., Adams, R. S., Fleming, L. N., Stevens, R., Streveler, R. A., Smith, K. A., Miller, R. L., Leifer, L. J., Yasuhara, K., & Lund, D., Enabling engineering student success: The final report for the center for the
necessary. 1-2 examples were also recorded for each lecture, but they were released tostudents after the class. Watching the audio lectures can be considered a passive learning modeand manipulating them is considered active. Both activities are low-level learning activitiesaccording to the ICAP framework and thus they were moved outside of the class and class timecan be used for higher-level learning activities.Q&AAs students prepared for each lecture on their own, they were highly encouraged to post anyquestions they might have to the Piazza discussion board embedded in the Blackboard coursesite. They were also encouraged to write down the question(s) anonymously and drop thequestion(s) to the in-class drop box as they walk into the classroom
incorporation of the other Grand Challenge areas into thedesign project to provide an increased variety of choices for students. In order to further assessthe impact of this project on students, future studies may include a control group for comparison.In an effort to increase the response rate, surveys for future studies may be given during classinstead of simply posting them online for students to complete on their own.References[1] National Academy of Engineering Grand Challenges for Engineering.http://www.engineeringchallenges.org/cms/challenges.aspx[2] Sheppard, S., S. Gilmartin, H. L. Chen, K. Donaldson, G. Lichtenstein, E. Özgür, M. Lande, and G. Toye.,“Exploring the engineering student experience: findings from the academic pathways of people
, we suspect that the increasein overall retention was impacted by an increase in sense of belonging. To benefit sense ofbelonging and reduce chilly-climate issues that appear to impact females’ pathways more thanmales’, it is recommended that faculty development, particularly for creating an inclusiveclassroom environment, be implemented at the institution studied.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1226586.Bibliography1 M. W. Ohland, G. Zhang, B. Thorndyke and T. J. Anderson, "Grade-Point Average, Changes of Major, and Majors Selected by Students Leaving Engineering," in Frontiers in Education, Savannah, 2004.2 E. Judson, B. Smith, J. Erzen , S. Krause, J. Middleton and
Library Association. Introduction to Information Literacy. at 8. Information Literacy Standards for Science and Engineering/Technology | Association of College & Research Libraries (ACRL). at 9. FGCU. 2012 QEP. at 10. ABET. ABET. at 11. Dweck, C. S. Mindset: The New Psychology of Success. (Random House Digital, Inc., 2006).12. Dewey, J. Democracy and Education: An Introduction to the Philosophy of Education. (The Macmillan Company, 1916).13. Vygotsky, L. S. Mind in Society: The Development of Higher Psychological Processes. (Harvard University Press, 1980).14. Anderson, L. W., Krathwohl, D. R. & Bloom, B. S. A taxonomy for learning, teaching, and assessing: a revision of Bloom’s taxonomy of
engineering.” Hyman3, in hisoperational definition of design as “a proposed solution to a problem,” states that “the designitself is a value added proposition, meaning there is a business value in the solution, or else whybother designing it?” One of the ongoing challenges facing engineering programs is how toprovide freshmen with an engaging, budget-aware introduction to engineering that enhancesprogram retention and provides the student with skills that are applicable throughout theireducation and careers.The learning outcomes of engineering programs have evolved over the past century. In the1800’s, programs promoted “the application of sciences to the common purposes of life,”4 withthe goal of training employees for the rapidly expanding economy
Austin BME graduate recruitment efforts.References1. Bell, S. M., Blumstein, J., Brose, K., Carroll, A., Chang, J., Charles, J., ... & Smith, R. (2014). Defining success in graduate school. Molecular biology of the cell, 25(13), 1942-1944.2. Kuncel, N. R., Hezlett, S. A., & Ones, D. S. (2001). A comprehensive meta-analysis of the predictive validity of the graduate record examinations: implications for graduate student selection and performance. Psychological bulletin, 127(1), 162.3. Ehrenberg, R. G. (2003). Method or madness? Inside the USNWR college rankings. Working Papers, 42.4. Howell, L. L., Sorenson, C. D., & Jones, M. R. (2014). Are Undergraduate GPA and General GRE Percentiles Valid Predictors of