Learning. New York: Jossey-Bass Publishing.5. Prince, M., (2004). “Does Active Learning Work? A Review of the Research,” Journal of Engineering Education, 93(3), 223-231; Wankat, P., and Oreovicz, F., (2006). “A Push for Participation,” ASEE Prism, 15(5), 39.6. Williams, Bard. Educators' Podcast Guide. Eugene, Oregon: ISTE, 2007.7. Cohen, E.G. (1994). Restructuring the Classroom: Conditions for Productive Small Groups. Review of Educational Research, 64(1), 1-35.8. Smith, K. A., Sheppard, S. D., Johnson, D. W., & Johnson, R. T. (2005). “Pedagogies of Engagement:Classroom-Based Practices,” Journal of Engineering Education, 94(1), 87-100;.9. Laeser, M., Moskal, B. M., Knecht, R., & Lasich, D. (2003). Engineering Design: Examining
operators forcalculations on arrays, in particular matrices, a large, coherent, integrated collection ofintermediate tools for data analysis, graphical facilities for data analysis and display eitherdirectly at the computer or on hardcopy, and a well-developed, simple and effectiveprogramming language (called ‘S’) which includes conditionals, loops, user defined recursivefunctions and input and output facilities [14].” We chose to use RStudio because it is an open-source software. Also, this gives the students another programming language tool. The studentscan download the software onto their computers/laptops without any extra cost and be able to usethis software after this course is completed. We have noticed the students are adaptable
1. Department Responses Department of Chemical Engineering and Applied Chemistry 22.2% Civil and Mineral Engineering, 15.9% Materials Science and Engineering 1.6% Mechanical and Industrial Engineering 20.6% The Division of Engineering Sciences 1.6% The Edward S. Rogers Sr. Department of Electrical and Computer
Conference4. N. A. Pendergrass, Robert E. Kowalczyk, John P. Dowd, Raymond N. Laoulache, William Nelles, James AGolen and Emily Fowler (1999), Improving First-year Engineering Education, Proceedings of the 1999 Frontiers inEducation conference, San Juan, Puerto Rico5. N. Fisher, S. Rankin, B. Saunders, and K. Millett (2006), Excellence in Undergraduate Mathematics:Confronting Diverse Student Interests, A Final Report, Retrieved January 16, 2007, fromhttp://www.math.uic.edu/~mer/pages/Excellencepage/Final_report-_EUM_proj..pdf. Page 12.914.6
Engineering”, IEEE Transaction on Education,Vol. 48, No. 1., Febuary 2005.2 Brannan, K. and J. Murden, “From C++ to Mathcad: Teaching an Introductory Programming Course witha Non-Traditional Programming Language”, Proceedings of the American Society of EngineeringEducation, Session 1253, 1998.3 G. Fowles, Analytical Mechanics, 4th ed., Philadelphia: Saunders College Publishing. 1986.4 P. J. Pritchard, MATHCAD A Tool for Engineering Problem Solving, Boston: McGraw Hill. 1998.5 Rao, S. Applied Numerical Methods for Engineers and Scientists, Upper Saddle River, NJ: Prentice-Hall.2002. Page 11.1216.8
. Corral, M., Vector Calculus. 2008: GNU Free Documentation License.6. Zeager, C.S.a.J., College Algebra. 2009, Lakeland, FL.7. Khan, S. Khan Academy. 2008 [cited 2012 November and December]; Available from: http://www.khanacademy.org/.8. Massachusetts Institute of Technology. MIT Open Courseware. 2001 [cited 2012 November and December]; Available from: http://ocw.mit.edu/index.htm. Page 23.430.6
Visibility of Gratings”, J. Physiol. 197, (1968), 551-566. 6. Demirkaya, O., Asyali, M., H., Sahoo, P.K., Image Processing with MATLAB-Applications in Medicine and Biology, CRC Press, Florida, (2009). 7. Gonzalez, R.C., & Wintz, P., Digital Image Processing, Addison-Wesley Publ. Co., MA. (1987). 8. Jain, A., K., Fundamentals of Digital Image Processing, Prentice Hall, NJ, (1989) 9. Lim, J., S., Two-Dimensional Signal and Image Processing, Prentice Hall, NJ, (1990). 10. Nagy, G., “State of the Art in Pattern Recognition”, Proc. IEEE, 56, (1968), 836-862. 11. Pedrycz, W., “Fuzzy Sets in Pattern Recognition; Methodology and Methods”, Pattern Recognition, 20 No. 1-2, (1990), 121-146. 12. Pratt
) distributedhandouts of Linksman’s characterizations and recommendations for each super link.Also in this study, (5) students were shown previous student projects submitted in the earlierMATH 131 courses to introduce each new topic visually and (6) were required to complete amuch more comprehensive project component (hence the term Project-Directed Mathematics).The authors discovered that students’ documented super links did not confirm the previousassumption, that most designstudents by nature would be visual 2 0 0 6 - 2 0 0 7 M ATH 1 3 1 St u d e n t s' Le a r n in g Pr e f e r e n ce sor tactile right-brained learners, thus ( n = 37
/designteach/teach/examwrappers/Hattie, J. (2009). Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement. NY:Routledge. 12Karen L. Smith Faculty Center for Teaching and Learning. (2019, February 4). What is the Scholarship of Teaching& Learning (SoTL)? Retrieved from http://www.fctl.ucf.edu/ResearchAndScholarship/SoTL/Klingbeil, N. W., and A. Bourne. (2013, June). A National Model for Engineering Mathematics Education:Longitudinal Impact at Wright State University.In Proceedings of the 2013 ASEE Annual Conference & Exposition.Klingbeil, N. W., R. E. Mercer, K. S. Rattan, M. L. Raymer, and D. B. Reynolds
high attrition rates. Now they’re working to help students achieve early and enduring success,” Prism, 2008.[10] N. Guner, “Senior engineering students’ views on mathematics courses in engineering,” Coll. Stud. J., vol. 47, no. 3, pp. 507–515, 2013.[11] J. A. Middleton, S. Krause, S. Maass, K. Beeley, J. Collofello, and R. Culbertson, “Early course and grade predictors of persistence in undergraduate engineering majors,” Proceedings in the 2014 IEEE Frontiers in Education Conference, 2014.[12] R. Marra, B. Bogue, D. Shen, and K. Rodgers, “Those that leave- Assessing why students leave engineering,” in Proceedings of the 2007 American Society for Engineering Education Annual Conference & Exposition
mathematics placement test to all incoming first time full-time first yearstudents, except those with proof of advanced placement or transfer credits for calculus courses.Performance on this placement test determines students’ starting point in the calculus sequence.Students will either be placed in Calculus-I, which is the preferred scenario, or one of the twopre-calculus courses. Students that are placed in pre-calculus courses start 1-2 courses behind ascompared to those placed in Calculus-I. In addition, performance in the mathematics placementtest also drives placement in physics and chemistry. All this put together means that students thatdo not do well on the mathematics placement test are looking at 1-2 added semester(s) to theirgraduation
convergence of Taylor series yesterday, today, and tomorrow, Ph.D. thesis, University of Oklahoma, 2009.12. Jason Martin, Michael Oehrtman, Kyeong Hah Roh, Craig Swinyard, and Catherine Hart-Weber, Students’ reinvention of formal definitions of series and pointwise convergence, in Proceedings of the 14th Annual Conference on Research in Undergraduate Mathematics Education, edited by S. Brown, S. Larsen, Karen Marrongelle, and Michael Oehrtman (SIGMAA on RUME, Portland, OR, 2011), Vol. 1, pp. 239–254 [http://sigmaa.maa.org/rume/RUME_XIV_Proceedings_ Volume_1.pdf].13. Danielle Champney and Eric Kuo, An evolving visual image of approximation with Taylor series: A case study, in Proceedings of the 15th Annual Conference on
, Expert conceptualizations of the convergence of Taylor series yesterday, today, and tomorrow, Ph.D. thesis, University of Oklahoma, 2009. 6. Jason Martin, Michael Oehrtman, Kyeong Hah Roh, Craig Swinyard, and Catherine Hart- Weber, Students’ reinvention of formal definitions of series and pointwise convergence, in Proceedings of the 14th Annual Conference on Research in Undergraduate Mathematics Education, edited by S. Brown, S. Larsen, Karen Marrongelle, and Michael Oehrtman (SIGMAA on RUME, Portland, OR, 2011), Vol. 1, pp. 239–254 [http://sigmaa.maa.org/rume/RUME_XIV_Proceedings_ Volume_1.pdf]. 7. Danielle Champney and Eric Kuo, An evolving visual image of approximation with Taylor series
) the same value (common difference, d). Geometric is a sequence which goes from one term to the next by always multiplying (or dividing) the same value (common ratio, r). A way to use this in fashion would be when sizing patterns, going up one size, each time adding a certain amount to a certain part of the pattern. (S. C.)This student had a left, visual and tactile superlink, and it is easy to see her using the lefthemispheric strategy of linear, step-by-step thinking to determine her answer to the question.Finally, the responses to the journal assignments revealed information about the students’ effortsin the course that the professor otherwise would have never known. Many of the
).7. DeLozier, S. J. & Rhodes, M. G. Flipped Classrooms: a Review of Key Ideas and Recommendations for Practice. Educ. Psychol. Rev. (2016). doi:10.1007/s10648-015- 9356-98. Freeman, S. et al. Active learning increases student performance in science, engineering, and mathematics. Proc. Natl. Acad. Sci. 111, 8410–8415 (2014).9. Prince, M. Does Active Learning Work ? A Review of the Research. J. Eng. Educ. 93, 223–231 (2004).10. Sahin, A., Cavlazoglu, B. & Zeytuncu, Y. E. Flipping a College Calculus Course: A Case Study. J. Educ. Technol. Soc. 18, 142–152 (2015).11. Talbert, R. in Best practices for flipping the college classroom (eds. Waldrop, J. B. & Bowdon, M. A.) 29–43 (Routledge, 2015
teach and assess this concept in hisclass. Also, the Center for Writing at Florida Atlantic University provided great feedback.X. References[1] P. Peebles, “Probability, Random Variables, and Random Signal Principles,” McGraw-Hill Science/Engineering/Math, 2000.[2] S. Takahashi, “The Manga Guide to Statistics,” No Starch Press, 2008.[3] B. Orlin, “Math with Bad Drawings,” Black Dog and Leventhal Publishers, 2018.[4] D. Huff, “How to Lie with Statistics,” W. W. Norton & Company, 1993.[5] S. Campbell, “Flaws and Fallacies in Statistical Thinking,” Dover Publications, 2004.[6] A. Gelman and D. Nolan, “Teaching Statistics: A Bag of Tricks,” 2002.[7] D. Rumsey, “Statistics for Dummies,” For Dummies, 2016.[8] C
𝑑𝑑𝑑𝑑the angular velocity, 𝜔𝜔, as well as to the angle θ of the motor shaft. Since 𝜔𝜔 = 𝑑𝑑𝑑𝑑 it means thatthe relationship at all times between 𝜔𝜔 and θ is differentiation or integration depends on how welook at it. By plotting the input voltage V𝑎𝑎, and the outputs ω, and θ of the DC motor we get a clearvisualization of integration and differentiation (Figure 19).Figure 19: Relation between angular velocity and angular position of a DC motorAfter transforming the equations to the s-domain and then to block diagram we obtain (Figure20): Figure 20: Integrator block diagram – DC motorTo complement the understanding of
]. Available: https://vinepair.com/wine-blog/why-wine- bottles-have-punts-bottom/.[11] T.-R. Hsu, Applied engineering analysis, 1st ed. Hoboken, NJ: Wiley, 2018.[12] T.-R. Hsu, “Mathematics for Engineering Education,” in IEEE Conference, San Jose.[13] “STEM- the What, the Why, and the How,” Medium, 16-Jul-2019. [Online]. Available: https://medium.com/@thestempedia/stem-the-what-the-why-and-the-how-7d03a853a364.[14] R. W. Bybee, STEM Education Challenges and Opportunities. Arlington, VA: National Science Teachers Association, 2013.[15] NOAA Headquarters, “The mathematics of weather prediction,” Phys.org, 13-May-2016. [Online]. Available: https://phys.org/news/2016-05-mathematics-weather.html.[16] S. Taranovich, “The
paths, but it is just as valuable for students who enter “traditional” graduate programs andgo into academic careers in that it broadens their perspectives on the uses of mathematics (A. C.Heinricher and S. L. Weekes12, B. Vernescu and A.C. Heinricher19)Here are some sample REU projects from past research summers (more are available on theCIMS web at www.wpi.edu/+CIMS ): Optimal Cession Strategies – Sponsor: Premier Insurance Co.; Faculty advisor: Arthur Heinricher; Industrial advisors: Richard Welch, CEO, and Martin Couture. In the state of Massachusetts, the automobile insurance industry is highly regulated. Not only are insurance rates fixed by the state, but no company can refuse insurance to anyone who
problems of comprehension in a learning of mathematics. Educational Studies in Mathematics, 61, 103-131.3. Duval, R. (2006b). Un tema crucial en la educación matemática: La habilidad para cambiar el registro de representación. La Gaceta de la Real Sociedad Matemática Española, 9(1), 143-168.4. Duval, R. (2008). A crucial issue in mathematics education: The ability to change representation register. Regular Lecture. En Mogens Niss (Ed.), Proceedings of the 10 th International Congress on Mathematical Education (pp. 1-17). IMFUFA, Department of Science, Systems and Models, Roskilde University, Denmark.5. Moreno-Armella, L., Hegedus S. & Kaput, J. (2008). From static to dynamic mathematics: Historical and representational
preparation for her and created a challenging objective for the group. The resultsshowed the students in her group their weaknesses in a format different from the in-class testsand verified that they did indeed need to study and that attendance in the study group isworthwhile.Study Group LogisticsAs described elsewhere8, students arrive at study groups to find that the mentor has organized theseating in the room to be in a U-shape with all chairs and desks facing the white board. Thementor takes a seat as if s/he is a part of the group. The mentor facilitates collaborative groupwork by opening communication and asking about problem areas from the lecture or homework.In the case of a group with students from several different course sections studying
, “The researchers have observed students entering the Professional Pilotprogram at Kansas State University at Salina lack the necessary prerequisite mathematics skillsfor success in subsequent higher mathematics courses. Using an introductory appliedmathematics course coupled with applied aviation exercises and engaging pedagogical methodsin mathematics courses could engage students and enhance their mathematics learning skills.” Afall 2009 Kansas State University at Salina (KSU-S) aviation faculty survey, albeit small,supports this hypothesis.The researchers’ observed presumption is that present day students possess more technologyunderstanding and rely on audio/visual feedback stimuli. One approach modifies methods ofinstruction to
Paper ID #32712Student and Teacher Perceptions of a Classroom Response System:Demographic Comparisons in a First Semester Calculus CourseDr. Patricia A. Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in chemical engineering from the University of Louisville. Dr. Ralston teaches undergraduate engineering mathematics and is currently involved in educational research on the effective use of technology in engineering education, the incorpo- ration of critical
, D. J., Dubinsky, E., Mathews, D., & Thomas K. (1997). A framework for research and curriculum development in undergraduate mathematics education. In J. Kaput, A. H. Schoenfeld, & E. Dubinsky (Eds.), Research in collegiate mathematics education II (p/. 1-32). Providence, RI: American Mathematical Society and Washington, DC: Mathematical Association of America. 2. Piaget, J. (1971). Psychology and epistemology (A. Rosin, Trans.). London: Routledge and Kegan Paul. (Original Work Published 1970) 3. Tokgöz, E., Tekalp S. B., Tekalp E. N., Tekalp H. A. (2020), Qualitative and Quantitative Analysis of University Students’ Ability to Relate Calculus Knowledge to Function Graphs, 127th Annual ASEE
schedule for the math club, and some ofthe soft skills learned by students. It also provides information on variouscompetitions that are available to students in Washington State and ranks themaccording to the level of difficulty. Finally it discusses the lessons learned in thepast seven years which may be helpful to those who are considering starting onein their own neighborhoods.MathClub - Inception through Current StatusThe math club was started in mid 1990’s with one parent volunteer and a fewstudents. It was a before school 50-minute, unstructured, enrichment program,where students from 2nd through 4th graders came in to play math related gamesand puzzles. Each session typically had about 20 students. However, after a fewmonths the organizer
honors option MA345HON.References1. Dennis Berkey and Bogdan M. Vernescu, A Model for Vertical Integration of Real-world Problems in Mathematics, the Proceedings of ASEE Annual Conference & Exposition, June 2007.2. Robert L. Borrelli, and Courtney S. Coleman, “Differential Equations, Modeling Perspectives”, 4th edition, John Wiley and Sons, 1997.3. Julie Gainsburg, The Mathematical Modeling of Structural Engineers, Mathematics Thinking and Learning, 8(1), 3–36.4. Jeff Kramer, Is Abstraction the Key to Computing? Communications of the ACM, April, 2007 Vol. 50, No. 4, P. 37 - 425. Mathematical Science Education Board, “Measuring What Counts: A Conceptual Guide for Mathematics Assessment”, National Academy Press, 1993.6
, Global Position System - Signals, Measurements, and Performance, Ganga-Jamuna Press, 200114. Michael S. Braasch, Fundamentals of the Global Positioning System (GPS)", Proceedings of Environmental Modeling and Simulation, ISTED, 2004.15. Ignatios Vakalis, Andrea Karkowski, Terry Lahm, A Guidebook for the Creation of Computational Science Modules, http://oldsite.capital.edu/acad/as/csac/Keck/guidebook.html Page 13.1000.11
AC 2009-1665: PREFRESHMAN STUDENTS GEARING UP WITH EARLY BIRDSabina Jeschke, University of Stuttgart After receiving her M.Sc. in Physics at the Berlin University of Technology in 1997, graduating with distinction, Sabina Jeschke worked as an assistant teacher at the department for mathematics and natural sciences and earned her doctorate in 2004. Holding a scholarship from the German National Academic Foundation, she spent several months of research at the NASA in Moffet Field, CA. In 2000 and 2001, S. Jeschke worked as an instructor at the GaTech (Georgia Institute of Technology, Atlanta). Since 2005, Sabina Jeschke has been associate professor for Media in Mathematics and Natural