Conference Session

Issues and Answers in Mathematics Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Amelito G. Enriquez, Canada College

Tagged Divisions

Mathematics

studentawareness of tools, skills and resources needed to succeed in college, pre- and post-programstudent surveys were administered. Table 6 summarizes student responses to the pre- and post-program surveys. Statistically significant improvements were observed in the following areas:student rating of their math study skills, student rating of confidence in math, and studentperceived supportive relationships with other students, and tutors. The improvement in studentperception of effectiveness in time management, and the increase in their interest in studyingSTEM are not statistically significant. Appendix B shows a summary of student comments. Pre- Post- DifferenceQuestion

Conference Session

Issues and Solutions in Mathematics Education

Collection

2010 Annual Conference & Exposition

Authors

Gisela Gomes, Universidade Presbiteriana Mackenzie; Janete Bolite Frant, Universidade Bandeirante; Arthur Powell, Rutgers University

Tagged Divisions

Mathematics

, New Jersey, and Faculty Research Scientist and Associate Director of the Robert B. Davis Institute for Learning of the Graduate School of Education in New Brunswick. Page 15.647.1© American Society for Engineering Education, 2010 How and What Mathematical Content is Taught and Used by Engineering Students in their Final Course Project?AbstractThe purpose of this research was to investigate the transition from academic mathematicsto real-life, engineering situations. In particular, through a case study, we investigatewhat mathematics content Brazilian undergraduate engineering students at privateuniversity use

Conference Session

Use of Technology in Teaching Mathematics

Collection

2006 Annual Conference & Exposition

Authors

Melinda Z. Kalainoff, U.S. Military Academy; Dawn E. Riegner, U.S. Military Academy; Matthew Deloia, U.S. Military Academy; Russ Lachance, U.S. Military Academy; Andrew Biaglow, U.S. Military Academy

Tagged Divisions

Mathematics

± standarddeviation (sample size). Cadets were asked to rank their response on a scale from 1 to 5,with 1 being the least favorable response and 5 being most favorable. Page 11.589.9Instructor / Question Instructor’s test Instructor’s standard hour hours A / 9a1 82.4 ± 39.3 (17) 55.6 ± 50.2 (54) B / 9a1 35.3 ± 49.3 (17) 23.6 ± 42.9 (55) C / 9a1 100.0 ± 0.0 (19) 100.0 ± 0.0 (20) A / 9b2 82.4 ± 39.3 (17) 70.4 ± 46.1 (54) B / 9b2 29.4 ± 47.0 (17) 29.1 ± 45.8 (55

Conference Session

Approaches to Mathematics Curriculum to Include Projects and Technologies

Collection

2014 ASEE Annual Conference & Exposition

Authors

Gunter Bischof, Joanneum University of Applied Sciences; Annette Casey B.A., University of Applied Sciences FH JOANNEUM, Graz, Austria; Emilia Andreeva-Moschen, Bombardier Transportation Austria GmbH

Tagged Divisions

Mathematics

" (in German), Mathematische Annalen 100 (1), pp. 32- 74, 1928]9. J. von Neumann, "Theory of self-reproducing automata", edited by A. W. Burks, University of Illinois Press, Urbana, 196610. S. Ulam, "Some ideas and prospects in biomathematics", Ann. Rev. Bio. 12, pp. 255-257, 197411. S. Wolfram, “Statistical mechanics of cellular automata”, Rev. Mod. Phys. 55 (3), pp. 601-644, 1983 Page 24.904.1412. J. Hardy, Y. Pomeau, and O. de Pazzis, "Time evolution of a two-dimensional model system: Invariant states and time correlation functions", J. Math. Phys. 14, pp. 1746-1759, 197313. U. Frisch, B. Hasslacher, and Y. Pomeau

Conference Session

Innovative Instructional Strategies

Collection

2009 Annual Conference & Exposition

Authors

John Schmeelk, Virginia Commonwealth University Qatar Branch; Jean Hodges, Virginia Commonwealth University Qatar Branch

Tagged Divisions

Mathematics

style and brain hemisphericpreferences (see Appendices A and B for test copies). The tests were given shortly afterintroducing the course and its project-directed concept, and the results were discussed with thestudents, who also received handouts of Linksman’s characterizations for each of the learningstyles and brain hemispheric preferences to use as they studied the math concepts throughout thecourse. Among the conclusions of this study were that students’ documented superlinks did notconfirm the assumptions made in the first study, thus identifying the necessity for testingstudents’ preferences; sample projects proved helpful; and more research was needed.The third study extended the second study in three primary ways: ≠ it continued

Conference Session

Mathematics Division Technical Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gunter Bischof, University of Applied Sciences Joanneum, Graz; Andreas Zwölfer, University of Applied Sciences Joanneum, Graz; Domagoj Rubeša, University of Applied Sciences Joanneum, Graz

Tagged Topics

Diversity

Tagged Divisions

Mathematics

Excellent 'A' 2 77 – 89 Good 'B' 3 64 – 76 Satisfactory 'C' 4 51 – 63 Sufficient 'D' 5 0 – 50 Insufficient Failing grade 'E/F'The correlations between Engineering Mathematics grades and the final grades in EngineeringMechanics and other mathematically-oriented courses are illustrated in Figures 9 to 11. Thesedata were obtained from more than ten classes of the four-year degree program.Figure 9: Engineering Mathematics grades versus Engineering Mechanics grades for therespective semestersThe highest correlation coefficient was obtained for the case when both

Conference Session

Mathematics Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Blair J. McDonald P.E., Western Illinois University; Susan C. Brooks, Western Illinois University - Quad Cities

Tagged Divisions

Mathematics

become the engineers that expand theboundary of human knowledge. They look beyond the equations.Bibliography[1] P. Wankat and F. Oreovicz, Teaching Engineering, New York: McGraw-Hill, 1993.[2] R. E. Park, "A Memorandum on Rote Learning," American Journal of Sociology, vol. 42, no. 1, pp. 23-26, 1937.[3] B. N. Geisinger and D. R. Raman, "Why They Leave: Understanding Student Attrition from Engineering Majors," International Journal of Engineering Education, vol. 29, no. 4, pp. 914-925, 2013.[4] W. Zimmerman and S. Cunningham, "Editor's Introduction: What is Mathematical Visualization," Visualization in Teaching and Learning Mathematics, MAA, pp. 1-7, 1991.[5] F. Beer, E. R. J. Johnston, D. Mazurek, P. J. Cornwell and B. P. Self

Conference Session

Mathematics Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Emre Tokgoz, Quinnipiac University

Tagged Divisions

Mathematics

answered the indefinite integral survey question correct by using the exponentialfunction, he/she decided to solve the definite integral version of the same question. He/she madea mistake on the definite integral version of the question that she introduces by putting bounds onthe indefinite integral (which wasn’t a part of the research) and didn’t realize that the upper andlower bounds a and b applied to the indefinite integral on the left hand side of the equality shouldalso be applied to the ∑ term on the right hand side of the equality. !Figure 5. Response of Participant 6 to the integral of the series question.This participant corrected the definite integral answer during the

Conference Session

Integrating Math Science and Engineering

Collection

2011 ASEE Annual Conference & Exposition

Authors

Po-Hung Liu, National Chin-Yi University of Technology; Ching Ching Lin, National Taipei University of Technology; Tung-Shyan Chen, National Chin-Yi University of Technology, Fundamental General Education Center; Chiu-Hsiung Liao, National Chin-Yi University of Technology, Fundamental General Education Center; Yen Tung Chung, National Chin-Yi University of Technology, Fundamental General Education Center; C. Lin, National Chin-Yi University of Technology, Taiwan R.O.C.; Ruey-Maw Chen, National Chin-Yi University of Technology

Tagged Divisions

Mathematics

in 1981. He is an assis- tant professor in Fundamental General Education Center, National Chin-Yi University of Technology.P. C. Lin, Fundamental General Education Center of National Chin-Yi University of Technology, TaiwanR.O.C.Ruey-Maw Chen, National Chinyi University of Technology Ruey-Maw Chen, he was born at Tainan, Taiwan, R.O.C. He received the B. S., the M. S. and the PhD degree in engineering science from National Cheng Kung University of Taiwan R.O.C. in 1983, 1985 and 2000, respectively. From 1985 to 1994 he was a senior engineer on avionics system design at Chung Shan Institute of Science and Technology (CSIST). Since 1994, he is a technical staff at Chinyi Institute of Technology. Since 2002, he has been

Conference Session

Techniques in Improving Mathematics Education in STEM Curricula

Collection

2012 ASEE Annual Conference & Exposition

Authors

Jennifer Vandenbussche, Southern Polytechnic State University; Christina R. Scherrer, Southern Polytechnic State University

Tagged Divisions

Mathematics

. Remembering back to 6.2: If the domain of f is D and the range is R, what is the (a) domain and the (b) range of f -1 ? 4. Use the previous question to find the domain and the range of f(x)=log2 x. 5. What is the inverse of f(x)=ex? 6. What base is implied in f(x)=log x? 7. Draw a quick sketch of f(x)=log2 x. Label at least 3 key points. What are the intercepts? 8. Draw a quick sketch of f(x)=log1/2 x. Label at least 3 key points. What are the intercepts? Page 25.150.14Appendix 2 – Sample Worksheet Page 25.150.15Page 25.150.16 Appendix 3 Pre

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

the past fiveyears?Which engineering disciplines are being pursued by students who take your classes?What programming languages do you personally use for your work or research?What programming languages do you use in your classes, either as a requirement or as a demonstration?Which, if any, mathematical modeling software do you personally use for your work or research?Which, if any, mathematical modeling software do you use in your classes, either as a requirement or as ademonstration?What languages and software do you feel are most crucial for engineering students' industrypreparedness?Other thoughts about mathematical and computational tool learning for (engineering) students?Appendix B: Student Survey InstrumentWhat is your academic major

Conference Session

The Use of Computers in Teaching Mathematics

Collection

2008 Annual Conference & Exposition

Authors

Jayathi Raghavan, Embry-Riddle Aeronautical University, Daytona Beach; Leslie Sena, Bethune Cookman College; Hong Liu, Embry-Riddle Aeronautical University, Daytona Beach; David Bethelmy, Bethune Cookman College

Tagged Divisions

Mathematics

the geosynchronous satellites from earth’s surface? Have the students write down their ideas and reasons for their beliefs. 3. Present the problem to be solved. a. Explain: Period, orbital period, and rotational period with the help of students acting as satellites around you, the teacher. Then explain that geosynchronous satellites are satellites whose orbital period around the Earth matches Earth’s rotational period. b. Ask: Why doesn't a geosynchronous satellite drift off into space? Or why doesn't it crash into the earth? Help them understand about forces especially gravitational and centripetal forces and then show what happens when the

Conference Session

Mathematics Division Technical Session 2

Collection

2016 ASEE Annual Conference & Exposition

Authors

Gustavo Moran, Clemson University; Lisa Benson, Clemson University

Tagged Topics

Diversity

Tagged Divisions

Mathematics

Counseling Psycholy. 19, 551–554 (1972).7. Pajares, F. Exploratory factor analysis of the Mathematics Anxiety Scale. Measurement and Evaluation in Counseling and Development. 29, 35–47 (1996).8. Hoffman, B. ‘I think I can, but I’m afraid to try’: The role of self-efficacy beliefs and mathematics anxiety in mathematics problem-solving efficiency. Learning and Individual Differences. 20, 276–283 (2010).9. Suinn, R. & Winston, E. The mathematics anxiety rating scale, a brief version: Psychometric data. Psychological Reports. 92, 167–173 (2003).10. Sherman, J. & Fennema, E. The Study of Mathematics By High School Girls and Boys: Related Variables. American Educational Research Journal. 14, 159–168 (1977).11. Betz

Conference Session

Bridging the Gap and Freshman Programs

Collection

2009 Annual Conference & Exposition

Authors

Seung Youn Chyung, Boise State University; Janet Callahan, Boise State University; Doug Bullock, Boise State University; Kendra Bridges, Boise State University; Joanna Guild, Boise State University; Cheryl Schrader, Boise State University

Tagged Divisions

Mathematics

Bullock is Chair of Mathematics at Boise State University. His research interests include math education, quantum topology, quantum algebra and representation theory, with particular emphasis on applications to knot theory and the topology of 3-manifolds.Kendra Bridges, Boise State University Kendra Bridges is Special Lecturer for the Department of Mathematics at Boise State University.Joanna Guild, Boise State University Joanna Guild is an Instructor for the Department of Mathematical and Physical Sciences at The College of Idaho. She obtained her M.S. in Mathematics from Boise State University and a B.A. in Mathematics from Kenyon College.Cheryl Schrader, Boise State University Cheryl B

Conference Session

Integrating Math Science and Engineering

Collection

2011 ASEE Annual Conference & Exposition

Authors

Murray Teitell, DeVry University, Long Beach, CA; William S. Sullivan, DeVry University, Long Beach

Tagged Divisions

Mathematics

). Standard Handbook for Electrical Engineers, 11th Edition. New York. McGraw-Hill. 7. Hamilton, C. L. and Reid, M. S. (2002). Toward a Mathematical Model of Solar Radiation for Engineering Analysis of Solar Energy Systems. JPL Deep Space Network Progress Report. 42-34, 147-151. 8. Heizlar P. and Davis C. (2004) Performance of the Lead-Alloy-Cooled Reactor Concept Balanced for Actinide Burning and Electricity Production. Nuclear Technology. 147 (3), 344-367. 9. Jevremovic, T. (2009). Nuclear Principles in Engineering. 2nd Edition. New York. Springer. 10. Blanchard, B. S. and Fabrycky, W. J. (1998). Systems Engineering and Analysis, third edition. Upper Saddle River, N. J. Prentice Hall

Conference Session

Mathematics Division Technical Session 2: Poster Presentations

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

MiKyla Jean Harjamaki, Playful Learning Lab; Annmarie Thomas, University of St. Thomas; Krista Schumacher, University of St. Thomas; Abby Bensen, University of St. Thomas; Emma Michelle Monson, University of St. Thomas

Tagged Divisions

Mathematics

the followingstandards.CCSS.MATH.CONTENT.6.SP.B.5 [6]: Summarize numerical data sets in relation to theircontext, such as by: ● CCSS.MATH.CONTENT.6.SP.B.5.A: Reporting the number of observations. ● CCSS.MATH.CONTENT.6.SP.B.5.B: Describing the nature of the attribute under investigation, including how it was measured and its units of measurement. ● CCSS.MATH.CONTENT.6.SP.B.5.D: Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.ISTE Empowered Learner [7] ● 1c: Students use technology to seek feedback that informs and improves their practice and to demonstrate their learning in a variety of ways.ISTE Computational Thinker

Conference Session

Engineering and Math Potpouri

Collection

2008 Annual Conference & Exposition

Authors

S.K. Sen, Florida Institute of Technology; Gholam Ali Shaykhian, NASA

Tagged Divisions

Mathematics

real-world implementation. The simple integrationI = ∫ e cos x dxcannot be analytically integrated while it can be numerically readily integrated given the limitof integration [a, b] = [1,3] , say, using, for example, the Simpson’s 1/3 closed quadratureformula.Golden ratio ϕ in nature, artfacts, and architecture The Greek mathematicians Pythagoras(about 582 BC−507 BC) and Euclid (about 330 BC−275 BC), the Italian mathematicianFibonacci (about 1175 −1250), also known as Leonardo of Pisa, the German Lutheranmathematician J. Kepler (1571−1630), the British mathematical physicist R. Penrose (1931)are just a few names over the past 25 centuries, who have spent countless hours over thissimple yet amazing number, the golden ratio and its properties

Conference Session

Computers and Software in Teaching Mathmatics

Collection

2011 ASEE Annual Conference & Exposition

Authors

Cheri Shakiban, University of St. Thomas; Michael P. Hennessey, University of St. Thomas

Tagged Divisions

Mathematics

-9260-8-2, July 2008.[14] Hanselman, D. and Littlefield, B., Mastering MATLAB 7TM, Pearson Prentice Hall, Upper Saddle River, NJ, 2004.[15] Larken, M., Yavari, Britanico, 2006.[16] Dabney, J. B. and Harman, T. L., Mastering SIMULINKTM, Pearson Prentice Hall, Upper Saddle River, NJ, 2003.[17] Armstrong, M. A., Groups and Symmetry, Springer-Verlag, 1988.[18] Schwarzenberger, R. L. E., “The 17 plane symmetry groups,” Mathematical Gazette, V 58, 1974.[19] Shakiban C. and Olver, P., Applied Linear Algebra, Prentice Hall, ISBN: 978-013-14738-2-9, 2005.[20] Editorial Piki, Machu Picchu: Sacred City, Marvel of the World, ISBN: 978-612-45470-1-0, 2009

Conference Session

Changing the Classroom Environment in Mathematics Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Robert Talbert, Grand Valley State University

Tagged Divisions

Mathematics

Education, 31 (1): 30-43.2. Bloom, B. S. (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals: Handbook 1, Cognitive Domain. New York: David McKay.3. Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407.4. National Academy of Engineering. (2004). The engineer of 2020: Visions of engineering in the new century. Washington, D.C.: National Academies Press.5. [Reference redacted for blind review]6. [Reference redacted for blind review]7. Boelkins, M. (2013). Active Calculus. Electronic book available at http://faculty.gvsu.edu/boelkinm/Home/ Download.html .8. Hake, R.. (1998

Conference Session

Mathematics Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Emre Tokgoz, Quinnipiac University

Tagged Divisions

Mathematics

, 16(4), 399-431.3. Aspinwall, L., Shaw, K. L., & Presmeg, N. C. (1997). Uncontrollable mental imagery: Graphical connections between a function and its derivative, Educational studies in mathematics, 33, 301-317.4. Baker, B., Cooley, L., & Trigueros, M. (2000). A calculus graphing schema, Journal for Research in Mathematics Education, 31(5), 557-578.5. Breidenbach, D., Dubinsky, E., Hawks, J., & Nichols, D. (1992). Development of the process of function, Educational Studies in Mathematics, 23(3), 247-285.6. Clark, J. M., Cordero, F., Cottrill, J., Czarnocha, B., DeVries, D. J., St. John, D., Tolias, G., & Vidakovic, D. (1997). Constructing a schema: The case of the chain rule? Journal of

Conference Session

Mathematics Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Gianluca Guadagni, University of Virginia; Hui Ma, University of Virginia; Lindsay Wheeler, University of Virginia

Tagged Topics

Diversity

Tagged Divisions

Mathematics

(UVA), she worked as an assistant professor at Black Hills State University for two years. In her current role as an APMA faculty member at UVA, she teaches applied math courses to engineering students. Her goals in teaching are to help students develop the confidence in their own ability to do mathematics and to make mathematics a joyful and successful experience.Prof. Lindsay Wheeler, University of Virginia c American Society for Engineering Education, 2018 The benefit of training Undergraduate Teaching AssistantsAbstractWe report on a new program to train Undergraduate Teaching Assistants (UTAs) that we areimplementing at our institution, the University of Virginia. The mixed methods

Conference Session

Innovative Instructional Strategies and Curricula

Collection

2010 Annual Conference & Exposition

Authors

Jayathi Raghavan, Embry-Riddle Aeronautical University, Daytona Beach; Hong Liu, Embry-Riddle Aeronautical University, Daytona Beach

Tagged Divisions

Mathematics

develop abilities in critical thinking, problem solving, written and oral communication, quantitative analysis, leadership and teamwork, ethics and values awareness, and information technology b. The student will acquire a strong background in applied mathematics with an emphasis on computational methods c. The student will acquire a foundation in physics, computing tools and engineering science necessary to understand how each relates to realistic applications in at least one science application area d. The student will be exposed to computational applications in the sciences and engineering. The student will learn how to synthesize the mathematics, computing, physics, and engineering to

Conference Session

Changing the Classroom Environment in Mathematics Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jenna Tague, Ohio State University; Gregory Richard Baker, Ohio State University

Tagged Divisions

Mathematics

equations in modelling contexts. International Journal of Mathematics Education in Science and Technology, 35, 503 – 516.8. Roble, A., Tague, J., Czocher, J., & Baker, G. Pencasts as Exemplars of Mathematical Modelling for Engineering Students. Proceedings of the International Conference on Engineering Education, Marrakesh, Morocco, 2013.9. Tague, J., Czocher, J., Baker, G., & Roble, A. Choosing and Adapting Technology in a Mathematics Course for Engineers. Proceedings of the American Society for Engineering Education, Atlanta, GA, 2013.10. Ärlebäck, J. B., Doerr, H. M., & O’Neil, A. H. (2013). A modeling perspective of interpreting rates of change in context. Mathematical Thinking and Learning, 15, 314- 336.11

Conference Session

Mathematics Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Rebecca Machen, University of Colorado Boulder; Wysheka Austin, Clemson University; Matthew K. Voigt, Clemson University

Tagged Topics

Diversity

Tagged Divisions

Mathematics

Paper ID #34390Responding to Microaggressions in the Classroom: Perspectives FromIntroductory Mathematics InstructorsRebecca Machen, University of Colorado Boulder Rebecca Machen is currently a Ph.D. student in Curriculum and Instruction with a focus in STEM at the University of Colorado at Boulder. She is also a full-time staff member in the Student Academic Success Center, a comprehensive academic and social program that serves traditionally underrepresented students in higher education. Her research interests include multicultural communities of practice, the use of predictive analytics for admission and placement into

Conference Session

Students' Abilities and Attitudes

Collection

2011 ASEE Annual Conference & Exposition

Authors

Kendrick T. Aung, Lamar University

Tagged Divisions

Mathematics

graded by the instructor. The bookprovides both conceptual and numerical problems but the solutions of many problemsrequire longer time than the duration of the class session which is 1 hr and 20 minutes.Therefore, the instructor generally divides up the problems into smaller parts and usesthem in in-class quizzes. An example problem in a quiz is given below. A sample problem The temperature T is maintained at 0 C along three edges of a square plate of length 5 cm, and the fourth edge is maintained at 120 C until steady state conditions prevail. (a) Write down the governing PDE equation. (b) Write down the boundary conditions. (c) Find the solution for the temperature T at any point (x, y) in

Conference Session

Mathematics Division Technical Session 3

Collection

2013 ASEE Annual Conference & Exposition

Authors

Gregory Richard Baker, Ohio State University

Tagged Divisions

Mathematics

Education, 27, no. 3, 2002, pp. 237–40.11. Billing, D., “Teaching for transfer of core/key skills in higher education: Cognitive skills,” Higher Education, 53, no. 4, 2007, pp. 483–516.12. Keene, K., “A characterization of dynamic reasoning: Reasoning with time as parameter,” The Journal of Mathematical Behavior, 26, no. 3, 2007, pp. 230–246.13. Gray, S., Loud, B., & Sokolowski, C., “Calculus students’ use and interpretation of variables: Algebraic vs. arithmetic thinking,” Canadian Journal of Science, Mathematics and Technology Education, 9, no. 2, 2009, pp. 59–72.14. Dahlberg, R. P. & Housman, D. L., “Facilitating learning events through example generation,” Educational Studies in Mathematics, 33, no. 3

Conference Session

Mathematics: Recruitment and Retention

Collection

2009 Annual Conference & Exposition

Authors

Doug Bullock, Boise State University; Janet Callahan, Boise State University; Yuguang Ban, Boise State University; Alison Ahlgren, University of Illinois, Urbana-Champaign; Cheryl Schrader, Boise State University

Tagged Divisions

Mathematics

University that earned a grade of A in apre-calculus course in the first semester had the same engineering retention rate as students whoearned a B in the first semester calculus class.1 Yet, if those same students are placed based ontheir SAT math scores, such students would probably fail calculus if taken in their firstsemester.1 A recent study on parameters that affect student success indicated that the gradeearned in a student’s first college level mathematics class was significantly correlated to whetheror not those students persisted in engineering, while the level at which they began mathematicsstudy at the university was not.2 French, et al. conclude in their study of indicators of engineeringstudents’ success and persistence, that

Conference Session

Students' Abilities and Attitudes

Collection

2010 Annual Conference & Exposition

Authors

Maria Terrell, Cornell University Math Dept.; Robert Terrell, Cornell University; Lisa Schneider, Cornell University

Tagged Divisions

Mathematics

takers.Preliminary results of the interviews.45 minute interviews were conducted with 14 test takers to obtain more detailed informationabout students responses to the test items. Students were shown their original test paper (nomarks were made by graders on the papers) and asked four questions about their response to eachsub-questions: a. How confident were you in your response to this question? b. Is this question similar to problems you have solved in some other setting? If yes, please describe the setting. c. Talk me through your answer to this question. d. Did you have other ideas about how to solve the problem that you did not write down?Our review of the interviews reveal some

Conference Session

Students' Abilities and Attitudes

Collection

2010 Annual Conference & Exposition

Authors

Chih Hsien Huang, MingChi University of Technology

Tagged Divisions

Mathematics

with students’ gender, college major, calculus studying time, internettime, the frequency of asking calculus questions per week, and calculus achievement of thelast semester. Section B is based on the Tripartite Model, with five scales developedaccording to affective, cognitive and behavior domains respectively. The five scales includethe cognitive variables of usefulness and self-efficacy, affective variables of motivation andanxiety, and the behavior variable of learning habit. Each scale contained twelve items for atotal of sixty items. Items of the five scales were combined and randomly listed on a singlesurvey that was distributed to participants of this study.This research conducted a validity analysis of the five scales on 396 first

Conference Session

Using Applications and Projects in Teaching Mathematics

Collection

2012 ASEE Annual Conference & Exposition

Authors

Julie Gainsburg, California State University, Northridge

Tagged Divisions

Mathematics

University Press. Page 25.436.143. Ginsburg, H. P., & Asmussen, K. A. (1988). Hot mathematics. In G. B. Saxe & M. Gearhart (Eds.), Children’s mathematics (pp. 89-111). San Francisco: Jossey-Bass.4. Schoenfeld, A. H. (1992). Learning to think mathematically: Problem solving, metacognition, and sense making in mathematics. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 334- 71). New York: Macmillan Publishing.5. Lesh, R., & Zawojewski, J. (2007). Problem solving and modeling. In F. K. Lester, Jr. (Ed.), Second handbook of research on mathematics teaching and learning