ASEE PEER - Search Results

Displaying all 18 results

WIP: Mathematical Software and Programming Preparation of Undergraduate Engineering Students in Mathematics Courses

Conference Session: Mathematics Division Technical Session 4: Assessing Success in Mathematics Education
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Johannah L. Crandall, Washington State University; Kristin Lesseig, Washington State University
Tagged Divisions: Mathematics

Crandall, a clinical associate professor of computer science atWashington State University, for his thoughtful assistance in outlining an ontology of computingtools reported by participants in this study, especially those closely associated with specializedengineering endeavors involving embedded systems, web development, and 3D drawingsolutions. 9References[1] Brown, J. S., Collins, A. and Duguid, P. (1989). Situated cognition and the culture oflearning. Educational Researcher, 18, 32-42.[2] Magana, A. J., Falk, M. L., Vieira, C. and Reese, M. J. (2016). A case study ofundergraduate engineering students' computational literacy and self-beliefs

Relevance Score: 0.016698156

The Use of Computer Programming in a Secondary Mathematics Class

Conference Session: Mathematics Division Technical Session 1: Best Practices in Engineering Math Education
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: JaCoya Thompson, Northwestern University ; Sally P.W. Wu, Northwestern University; Jacob Mills, Evanston Township High School
Tagged Divisions: Mathematics

this study. This work wasmade possible through generous support from the National Science Foundation (grants CNS-1138461, CNS-1441041, DRL-1020101, DRL-1640201 and DRL-1842374) and the SpencerFoundation (Award #201600069). Any opinions, findings, or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the fundingorganizations.References[1.] AP Statistics: AP Central - The College Board. (2019, August 1). Retrieved from https://apcentral.collegeboard.org/courses/ap-statistics?course=ap-statistics[2.] Barron, A. E., Ivers, K. S., Lilavois, N., & Wells, J. A. (2006). Technologies for education: A practical guide (5th ed.). Santa Barbara, CA: Libraries Unlimited[3.] Baumer

Relevance Score: 0.013068372

Lessons from a Lower-division Mathematics Co-teaching Sequence

Conference Session: Mathematics Division Technical Session 1: Best Practices in Engineering Math Education
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Charles Lam, California State University, Bakersfield; Melissa Danforth, California State University, Bakersfield; Ronald Hughes, California State University, Bakersfield
Tagged Divisions: Mathematics

give sufficient time to refine products. 4. Any extra materials introduced should not be part of the graded curriculum. This makes the learning less stressful.AcknowledgmentThis paper is based upon work supported by the National Science Foundation under Grant No.1430398. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] US Census Bureau, Census Data for Kern County, CA, 2010 census and 2019 estimate.[2] V. L. Austin, "Teachers’ beliefs about co-teaching," Remedial and Special Education, vol. 22, pp. 245-256, 2001.[3] E. Cramer and A. Nevin, "A mixed methodology analysis of co-teacher

Relevance Score: 0.011807378

Applications of Linear Algebra Applied to Big Data Analytics

Conference Session: Mathematics Division Technical Session 5: From Functions to Big Data–A Hands-on Challenge
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Rajendran Swamidurai, Alabama State University ; Cadavious M. Jones; Carl Pettis; Uma Kannan
Tagged Topics: Diversity
Tagged Divisions: 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 Carl S. Pettis, Ph.D. Professor of Mathematics Department of Mathematics and Computer Science Al- abama State University Administrative role: Interim Associate Provost Office of Academic Affairs Alabama State UniversityDr. Uma Kannan 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 in 2017. She specialized in Cybersecurity, particularly on

Relevance Score: 0.011317544

Exposing Undergraduate Engineering Students to Nonlinear Differential Equations Using a Practical Approach in Project-based Learning Environments

Conference Session: Mathematics Division Technical Session 1: Best Practices in Engineering Math Education
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Guenter Bischof, Joanneum University of Applied Sciences; Maximilian Brauchart, Joanneum University of Applied Sciences; Patrick Jenni, Joanneum University of Applied Sciences; Jeremias Pirker, Joanneum University of Applied Sciences; Julian Sachslehner, Joanneum University of Applied Sciences; Christian J. Steinmann, Joanneum University of Applied Sciences; Tobias Markus Zörweg, Joanneum University of Applied Sciences
Tagged Divisions: Mathematics

, dynamic vibration absorbers are frequently implemented with ahydraulic or frictional component in order to transform kinetic energy of vibration into heat.Figure 2 shows the frequency response s of the main mass m1 as a function of normalizedfrequency, i.e., the driving frequency divided by the resonance frequency (ω/ωc) of thedamped primary system. The blue curve shows the displacement of the primary systemwithout absorber. The red curve represents the response function of the main mass after thetuned dynamic absorber (m2 ≈ 0.14 m1) has been attached. Two new resonance frequencieshave been created, located above and below the original resonance frequency. Figure 2: Primary mass displacement (blue: without absorber, red: with absorber)The

Relevance Score: 0.011201462

Getting Your Hands Dirty in Integral Calculus

Conference Session: Mathematics Division Technical Session 3: Diversity in Mathematics Education
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Lee Singleton, Whatcom Community College; Eric Davishahl, Whatcom Community College; Todd Haskell, Western Washington University
Tagged Divisions: Mathematics

2019 ASEE Annual Conference & Exposition, Tampa, FL, 2019.[7] L. Singleton, "Tactile Trigonometry: Improving Student Success with 3D-Printed Manipulatives," MathAMATYC Educator, vol. 9, no. 3, Summer 2018.[8] M. K. Watson, S. T. Ghanat, T. A. Wood, W. J. Davis and K. C. Bower, "A Systematic Review of Models for Calculus Course Innovations," in 2019 ASEE Annual Conference & Exposition, Tampa, FL, 2019.[9] R. B. Kozma and J. Russel, "Multimedia and Understanding: Expert and Novice Responses to Different Representations of Chemical Phenomena," Journal of Research in Science Teaching, vol. 34, no. 9, pp. 949-968, 1997.[10] K. L. Daniel, C. J. Bucklin, E. A. Leone and J. Idema, "Towards a Definition of Representational

Relevance Score: 0.010478009

On the Effectiveness of Designing Didactical Situations Targeting R^n to Teach the Concept of Subspace in Linear Algebra

Conference Session: Mathematics Division Technical Session 2: Poster Presentations
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Anibal Sosa, Universidad Icesi, Colombia; Norha M. Villegas, Universidad Icesi, Colombia; Stephanie Celis Gallego, Universidad Icesi, Colombia; Diego Antonio Bohórquez, Universidad Icesi, Colombia
Tagged Divisions: Mathematics

oftraditional textbooks, although the latter were allowed to be used. Through short tasks thatwere designed to be initiated and terminated during in-classroom sessions, mostly to beworked in peers, we cover three general moments in the designed learning experience: ashort introduction, a discussion and a closure argument with general feedback by the end ofeach assignment.Each guide has different learning objectives: 1. Guide one: a. To distinguish sets that may or may not be subspaces of 𝑅𝑅 2 or 𝑅𝑅 3 , using GeoGebra for visualization. b. To construct linear combinations in 𝑅𝑅 2 and 𝑅𝑅 3 and identify the geometrical locus they define. c. To determine which vectors belong to the span of S for

Relevance Score: 0.009700752

Turning the Tables on Partial Credit: Computer Aided Exam with Student Reflection for Partial Credit (CAESR4PC)

Conference Session: Mathematics Division Technical Session 5: From Functions to Big Data–A Hands-on Challenge
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Jeffrey Lloyd Hieb, University of Louisville; Campbell R. Bego, University of Louisville
Tagged Divisions: Mathematics

, pp. 285-290.[6] K. J. Chew, H. Chen, B. Rieken, A. Turpin, and S. Sheppard, "Improving students’ learning in statics skills: Using homework and exam wrappers to strengthen self-regulated learning," in ASEE Conferences. doi, 2016, vol. 10, p. 25633.[7] P. G. Gezer-Templeton, E. J. Mayhew, D. S. Korte, and S. J. Schmidt, "Use of exam wrappers to enhance students’ metacognitive skills in a large introductory food science and human nutrition course," Journal of Food Science Education, vol. 16, no. 1, pp. 28-36, 2017.[8] B. Stephenson, M. Craig, D. Zingaro, D. Horton, D. Heap, and E. Huynh, "Exam wrappers: Not a silver bullet," in Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science

Relevance Score: 0.009240735

Calculus Readiness and Retention Rates for Home-schooled Students in a Four-year Engineering Program

Conference Session: Mathematics Division Technical Session 4: Assessing Success in Mathematics Education
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Danielle Marie Fredette, Cedarville University
Tagged Topics: Diversity
Tagged Divisions: Mathematics

statistic values calculated using the formula x¯ − µ0 s= √ , σ/ nwhere x¯ is the sample mean for the group, µ0 is the population mean, σ is the population standarddeviation, and n is the number of samples in the group. So, for example, in the case of thecalculus readiness test scores of incoming engineering students, √ s = (17.14 − 17.44)/(4.63/ 278) = −1.07 > −1.96,therefore the hypothesis is accepted. By similar analysis, in each case (save one) ofhomeschooled students’ test scores (both for incoming and graduated students), the

Relevance Score: 0.008002711

Self-beliefs of Success for College Calculus Students

Conference Session: Mathematics Division Technical Session 4: Assessing Success in Mathematics Education
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Rebecca Ann George, University of Houston; Weihua Fan, University of Houston; Daijiazi Tang, University of Houston
Tagged Topics: Diversity
Tagged Divisions: Mathematics

–554, 2013. [8] A. Ayebo and A. Mrutu, “An exploration of calculus students’ beliefs about mathematics,” International Electronic Journal of Mathematics Education, vol. 14, no. 2, pp. 385–392, 2019. [9] R. E. Wood and E. A. Locke, “The relation of self-efficacy and grade goals to academic performance,” Educational and psychological measurement, vol. 47, no. 4, pp. 1013–1024, 1987.[10] IBM Corp., “IBM SPSS statistics for windows, version 26.0. armonk: IBM corp.” 2019.[11] J. E. Parsons, T. Adler, R. Futterman, S. Goff, C. Kaczala, J. Meece, and C. Midgley, “Expectancies, values, and academic behaviors,” Achievement and achievement motives, pp. 75–146, 1983.[12] J. S. Eccles and A. Wigfield, “Motivational beliefs, values, and

Relevance Score: 0.0074676415

Addressing Math Readiness for Engineering and Other STEM Programs

Conference Session: Mathematics Division Technical Session 3: Diversity in Mathematics Education
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Kathleen Marie Fick, Methodist University; Denise H. Bauer, Methodist University
Tagged Divisions: Mathematics

Drop in College Readiness, Especially in Math,” The Wall Street Journal, October 17, 2018. [Online]. Available: https://www.wsj.com [Accessed October 17, 2018].[3] W. B. Armstrong, “The association among student success in courses, placement test scores, students background data, and instructor grading practices,” Community College Journal of Research & Practice, vol. 24, no. 8, 2000, pp. 681-695.[4] S. Fitchett, K. King, and J. Champion, “Outcomes of mathematics placement: An analysis of advising and enrollment data,” PRIMUS: Problems, Resources, and Issues in Mathematics Undergraduate Studies, vol

Relevance Score: 0.0068594664

Towards Creating Motivationally Supportive Course Structures for Introductory Calculus

Conference Session: Mathematics Division Technical Session 5: From Functions to Big Data–A Hands-on Challenge
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Paran Rebekah Norton, Clemson University; Karen A. High, Clemson University; William Bridges, Clemson University
Tagged Divisions: Mathematics

Relevance Score: 0.0057162223

A Visual and Engaging Approach to Teaching and Learning the Normal Distribution

Conference Session: Mathematics Division Technical Session 4: Assessing Success in Mathematics Education
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Daniel Raviv, Florida Atlantic University; Daniel Ryan Barb, Florida Atlantic University
Tagged Divisions: Mathematics

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

Relevance Score: 0.005600731

Improving STEM Education by Analyzing the Design of a Bottle

Conference Session: Mathematics Division Technical Session 2: Poster Presentations
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Alexander Henderson, San Jose State University ; Alexander Garcia, San Jose State University
Tagged Divisions: Mathematics

]. 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

Relevance Score: 0.005600731

Effects of a Limited Implementation of the Wright State Model for Engineering Mathematics Education Focused on Precalculus Students

Conference Session: Mathematics Division Technical Session 3: Diversity in Mathematics Education
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Nicholas A. Baine, Grand Valley State University
Tagged Divisions: Mathematics

-mathematics-education. [Accessed 2016].[3] N. Klingbeil, R. Mercer, K. Rattan, M. Raymer and D. Reynolds, "The WSU Model for Engineering Mathematics Education," in 2005 Annual ASEE Conference, Portland, OR, 2005.[4] L. Albers, "Implementing the Wright State Model First-Year Engineering Mathematics Course in a Startup School of Engineering," in 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah, 2018.[5] S. Das, "Implementing the Wright State Model for Engineering Mathematics at University of Detroit Mercy," in 2019 ASEE Zone I Conference & Workshop, Niagara Falls, NY, 2019.[6] N. Klingbeil, B. Newberry, A. Donaldson and J. Ozdogan, "The Wright State Model For Engineering Mathematics Education: Highlights From A Ccli

Relevance Score: 0.00528042

Qualitative and Quantitative Analysis of University Students’ Ability to Relate Calculus Knowledge to Function Graphs

Conference Session: Mathematics Division Technical Session 5: From Functions to Big Data–A Hands-on Challenge
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Emre Tokgoz, Quinnipiac University; Hasan Alp Tekalp; Elif Naz Tekalp; Berrak Seren Tekalp, Quinnipiac University
Tagged Divisions: Mathematics

Qualitative and Quantitative Analysis of University Students’ Ability to Relate Calculus Knowledge to Function Graphs 1 Emre Tokgöz, 1Berrak S. Tekalp, 1Elif. N. Tekalp, and 2Hasan A. Tekalp 1 Emre.Tokgoz@qu.edu, 1Elif.Tekalp@qu.edu, 1Berrak.Tekalp@qu.edu, 2Hasan.Tekalp@qu.edu 1 Industrial Engineering, School of Engineering, Quinnipiac University, Hamden, CT, 06518 2 Mechanical Engineering, School of Engineering, Quinnipiac University, Hamden, CT, 06518In this work, 19 undergraduate engineering students’ responses to a set of power series questions are collectedat a university located on the