. computer lab work and group exercises [25].Table 3. Description of categories within the Assessment Methods theme. Description Example Student reflections Students are asked to report A five-point scale was used to on their perceptions of the ask students about the course innovation(s), impacts of an engineering typically using Likert scales professor visiting precalculus and/or open response courses [17]. questions. Pre
on how to use the system. These videos were created for both the instructorand the students on how to operate the s Rater Practice system. The format of video instructionused is a sequential-step explanation and is a form of observational learning, which is learningthrough the behavior of others. Observational learning through video allows students to see a“flawless performance” of the task, and can be viewed repeatedly as needed [18]. Theinstructional videos on Rater Practice should be sufficient in learning how to operate thesimulation and can be viewed and practiced until the system is understood. If studentscomprehend the instructional videos, the barrier to many simulations - the instructions beingnon-intuitive - would be
method consider the following problems.First consider Figure 4. A reasonable problem involving only algebra could be given as follows. Ifthe smooth slider has the speed shown at point A, what is the maximum distance s that it canreach?Figure 4 - Example of a Problem in Mechanics.Solving this problem requires an understanding of kinetic and potential energy and how toaccount for it in a system.Similarly consider Figure 5 showing a tank of water connected to a nozzle. Given all thedimensions, a reasonable question might be to determine the pressure at the throat of the nozzle.Again this problem requires an understanding of how to account for energy in a system. It hasdifferent forms of energy when compared to the mechanics problem but the problem
the MAA national study of college calculus. Washington, DC: MAA Press.Deci, E. L., Vallerand, R. J., Pelletier, L. G., & Ryan, R. M. (1991). Motivation and education: The self-determination perspective. Educational Psychologist, 26(3-4), 325–346.Filak, V. F., & Sheldon, K. M. (2003). Student psychological need satisfaction and college teacher-course evaluations. Educational Psychology, 23(3), 235–247.Goldin, G. A., Hannula, M. S., Heyd-Metzuyanim, E., Jansen, A., Kaasila, R., Lutovac, S., & Zhang, Q. (2016). Attitudes, beliefs, motivation and identity in mathematics education: An overview of the field and future directions. Springer.Guay, F., Vallerand, R. J., & Blanchard, C. (2000). On the
ofUniversidad Galileo) for the support provided in this research. Last but not least, the authors aregrateful to reviewers for offering many constructive comments that have improved thepresentation and content of this paper.7. References [1] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, M. P. Wenderroth, “Active learning increases student performance in science, engineering, and mathematics,” in Proc. of the Nat. Academy of Sciences, vol. 111, no. 23, pp. 8410-8415, 2014. [2] J. R. Portillo, A. E. Alvarado, J. A. Samayoa, “MOSL: An innovative approach to a supplementary course of mathematics in engineering,” 2017 ASEE Annual Conference and Exposition, American Society for Engineering
University, and PhD in Mathematics from Auburn University in 2014. He is a contributor to the Australian Maths Trust, and member of the MASAMU international research group for mathematics.Dr. Carl Pettis, Alabama State University Carl S. Pettis, Ph.D. Professor of Mathematics Department of Mathematics and Computer Science Al- abama State University Administrative role: Interim Provost Office of Academic Affairs Alabama State UniversityDr. Uma Kannan, Alabama State University Dr. Uma Kannan is Assistant Professor of Computer Information Systems in the College of Business Administration at Alabama State University, where she has taught since 2017. She received her Ph.D. degree in Cybersecurity from Auburn University
from the pole, the ratio between the “height of the person” (L) to the“height of the pole” (h) is the same as the “distance from the person to the far edge of theshadow” (s-x) to the “distance from the pole to the edge of the shadow” (s):𝐿 𝑠−𝑥 = 𝑠ℎor ℎ𝑠 = ℎ−𝐿 𝑥Clearly,𝑑𝑠 ℎ =𝑑𝑥 ℎ−𝐿Also, since the walking speed of the person is 𝑑𝑥 𝑣= 𝑑𝑡we can find the change in the shadow with respect to time using the Chain Rule:𝑑𝑠 𝑑𝑠 𝑑𝑥 ℎ = 𝑑𝑥 𝑑𝑡 = ℎ−𝐿 𝑣𝑑𝑡Pendulum period (Refer to Figure 9) Figure 9: Finding pendulum period The
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
/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
, 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
same students. The discussions were extensive in the discourse of the non-mentored professor; however, these were not part of a classroom experience design based on the critical reflection of the instructor, as it was the case for the mentored professor. TG students had access to computers to use GeoGebra to work individually and collectively. In contrast, in the CG, students had no access to computers, and although some accessed through their smartphones, most of the times was the instructor the only one using GeoGebra to make explanations to the students, while they listened passively.It is evident the positive impact that the redesign of the learning activities had on the learningenvironment from the perspective of the student´s particular
is supported through National Science Foundation Grant Number 1317651.References[1] National Science Board. The Science and Engineering Workforce: Realizing America’s Potential, Publication NSB 03-69, 2003.[2] Augustine, N. “Rising Above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future”, Committee on Science, Engineering, and Public Policy (COSEPUP), 2007.[3] Herzog, S. “Measuring Determinants of Student Return vs. Dropout/Stopout vs. Transfer: A First-to-Second Year Analysis of New Freshmen”, Research in Higher Education, pp. 883-928, December 2005.[4] Krauss, R., Fries, R., Karacal, C. “Evaluating the Impact of a Revised Introductory Engineering Course: Student