Conference Session

Innovative Instructional Strategies

Collection

2009 Annual Conference & Exposition

Authors

Elton Graves, Rose-Hulman Institute of Technology

Tagged Divisions

Mathematics

traveling along the cycloid will in fact get from pointA to point B faster than a straight line. We can then explain to the students that the cycloid curveis the “optimal” curve for getting from point A to point B in the least amount of time. Page 14.405.3 Students Racing Marbles on Cycloid Track.A second demonstration is to start two marbles at different points on the cycloid track and havethe students guess which marble will reach the bottom of the curve the fastest. After severaltrials the students see that both marbles will reach the bottom of the track at exactly the sametime. Again we can talk about the geometry and

Conference Session

Mathematics Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Daniel Raviv, Florida Atlantic University

Tagged Divisions

Mathematics

examples that relay to very basicdaily observations such as the relation between moving shadows to differentiation andintegration. (b) First order differential equation and time constant of first order system. Based onaccumulated teaching experience, some helpful examples are: (1) battery charging a mobilephone at different initial charging values, and (2) cooling rate of coffee. There are of coursemany other examples, but less related to students’ everyday experiences (e.g., radioactive decayand carbon dating). These ideas are shared so that instructors can use them to enhanceunderstanding of engineering-related math concepts, and to show their relevance.We refer to this approach as “work in progress.” When using the above examples (and

Conference Session

Mathematics Division Technical Session 4

Collection

2013 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Mathematics

their future careers.13 References1. Eusgeld, I., Freiling, F.C., and Reussner, R. (1998).Dependability Metrics (Advanced Lectures). New York. Springer.2. James, B. (2007). The Bill James Handbook. Skokie, Il. ACTA Sports3. Klubeck, Martin. (2011).Metrics: How to Improve Key Business Results. New York. Apress.4. Simpson, T.W., Poplinski, P.N., Koch, P. N. and Allen, J. K. (2001. Metamodels for Computer-based Engineering Design Survey and Recommendations. Engineering with Computers. 17 (2) 129-150.5. Ebert, C., Dumke, R., Bundschuh, M. and Schmietendorf, A. (1998). Best Practices in Software Measurement (How to use Metrics to Improve Project and Process Performance). New York. Springer.6. Antonsson, E. K

Conference Session

Mathematics Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Paul L. Goethals, United States Military Academy; Karoline Hood, United States Military Academy

Tagged Divisions

Mathematics

),Philosophical Topics, vol. XV, no. 2, pp. 23-34, 1987.[2] S. Lichtenstein, B. Fischhoff, Do those who know more also know more about how muchthey know?, Organizational Behavior and Human Performance, vol. 20, no. 2, pp. 159-183,1977.[3] G. Gigerenzer, U. Hoffrage, H. Kleinbolting, Probabilistic mental models: a brunswikiantheory of confidence, Psychological Review, vol. 98, pp. 506-528.[4] P. Juslin, H. Olsson, Thurstonian and bruswikian origins of uncertainty in judgment: asampling model of confidence in sensory discrimination, Psychological Review, vol. 10, pp.344-366.[5] D. Kahneman, P. Slovic, A. Tversky, Judgments under uncertainty: heuristics and biases,Cambridge University Press, Cambridge, England, 1982.[6] J.B. Soll, Determinants of

Conference Session

Mathematics Division Technical Session 2

Collection

2016 ASEE Annual Conference & Exposition

Authors

Muteb M. Alqahtani, Rutgers University; Arthur Belford Powell, Rutgers University

Tagged Divisions

Mathematics

Arthur B. Powell Rutgers University Rutgers University muteb.alqahtani@gse.rutgers.edu powellab@andromeda.rutgers.eduDynamic geometry environments can support learning of geometry through meditating learners’activity. To understand how dynamic geometry environment mediate the activity of mathematicsteachers, we used Rabardel’s categories of instrument mediations in an instrument-mediatedactivity [1, 2]. We analyzed the discursive and inscriptive interactions of 4 mathematics teacherswho worked for 15 weeks in a team to construct geometric figures and solve open-endedgeometrical problems in a collaborative, dynamic geometry environment. In addition

Conference Session

Mathematics Division Technical Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Michael P. Hennessey, University of St. Thomas

Tagged Divisions

Mathematics

, 2004.[4] www.wolfram.com.[5] Wylie, C. R. and Barrett, L. C., Advanced Engineering Mathematics, 6th Edition, McGraw-Hill, New York, NY, 1995.[6] Kreyszig, Advanced Engineering Mathematics, 10th Edition, Wiley, Hoboken, NJ, 2011.[7] Kreyszig, Advanced Engineering Mathematics, 3th Edition, Wiley, Hoboken, NJ, 1972.[8] Klingbeil, N. W., and Bourne, A., “A national model for engineering mathematics education: Longitudinal impact at Wright State University,” 120th ASEE Annual Conference and Exposition, June 23-26, 2013.[9] Sun, C., Dusseay, R., Cleary, D., Sukumaran, B., and Gabauer, D., “Open-ended projects for graduate school- bound undergraduate students in civil engineering,” ASEE Annual Conference and Exposition, p 7647-7656

Conference Session

Mathematics Division Technical Session 1: Best Practices in Engineering Math Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nathaniel Rossi, Arizona State University; Adam R. Carberry, Arizona State University; Scott Adamson, Chandler-Gilbert Community College

Tagged Topics

Diversity

Tagged Divisions

Mathematics

1. State name, occupation, course subject, level of students, and active learning methods utilized. How familiar are you with Peter Liljedahl’s research? 2. Describe what it was like using active learning methods in your classroom for the first time. a. What aspects of the methods were either effective or ineffective at achieving the learning outcomes for the lesson. b. How did the students respond to the methods? 3. What strategies have you used for developing classroom problems? a. [Ask this question only if the respondent notes they have used textbook problems] Do you have any recommendations or best practices in converting these types of

Conference Session

First-Year Programs: Mathematics in the First Year

Collection

2019 ASEE Annual Conference & Exposition

Authors

Leroy L. Long III, Embry-Riddle Aeronautical University; Claudia Morello, Embry-Riddle Aeronautical University

Tagged Divisions

First-Year Programs, Mathematics

. Long is a native of Dayton, OH. He is a proud graduate of Dayton Public Schools and Wright STEPP - Wright State University’s Science, Technology, and Engineering Preparatory Program (STEPP). Dr. Long’s research interests include: (a) students’ technology use, (b) diversity and inclusion, as well as (c) student retention and success, with a particular focus on students in STEM fields. He has helped to lead research, funded by the NCAA Innovations in Research and Practice Grant, to improve the well- being of the student-athlete. Dr. Long has also assisted with research, funded by NSF, to study factors that broaden minority student participation and success in STEM fields. He has conducted and published research

Conference Session

Applied Mathematics

Collection

2007 Annual Conference & Exposition

Authors

Johann Misterio, William Dickinson High School; Krshna Ravindra, Johns Hopkins University; Rene D Rivero, New Jersey Institute of Technology; Henry McCloud, New Jersey Institute of Technology; Levelle Burr-Alexander, New Jersey Institute of Technology; Nuggehalli Ravindra, New Jersey Institute of Technology

Tagged Divisions

Mathematics

from equivalent L systems, IBM Journal Research& Development, Vol. 45, pp 797-805, Nov (2001).3. Benoit B. Mandelbrot, The Fractal Geometry of Nature, W.H. Freeman and Company, New York (2000).4. Edgar E. Peters, Fractal Market Analysis, John Wiley & Sons, New York (1994).5. J.W. Baish and R. K. Jain, Fractals and Cancer, Cancer Research, Vol. 60, pp 3683-3688, July (2000).6. A.L Goldberger, L.A.N. Amaral, J.M. Hausdorff, P.C. Ivanov and C.K. Peng, Fractal Dynamics in Physiology:Alterations with disease and aging, PNAS, Vol. 99, pp. 2466-2472, Feb (2002).7. K.M Iftekharuddin, et. al., A fractal analysis approach to identification of tumor in brain MRimages, Engineeringin Medicine and Biology Society, Proceedings of the 22nd Annual

Conference Session

Integrating Mathematics, Science, and Engineering

Collection

2007 Annual Conference & Exposition

Authors

Jenna Carpenter, Louisiana Tech University

Tagged Divisions

Mathematics

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

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

Mathematics Majors Homework Quiz – Other Types of Equations NAME: __________________________________ MAT 1050: College Algebra Score: ___________ a. Find a problem from the homework that 1. Solve the following: would be solved using the same process. 𝟒 𝟐 𝒙+𝟏 −𝟓 𝒙+𝟏 = −𝟒 b. Without solving, what mathematical cues caused you to choose that particular problem from the

Conference Session

Mathematics Division Technical Session 2

Collection

2015 ASEE Annual Conference & Exposition

Authors

Doug Bullock, Boise State University; Janet Callahan, Boise State University; Susan E. Shadle Ph.D., Boise State University

Tagged Divisions

Mathematics

). Page 26.355.8Figure 2, using the same time axis, shows the university-wide pass rate in Calculus I, (number ofA, B, C grades divided by total 10th day enrollment.) The results show a clear correlationbetween the implementation of Coherent Calculus across multiple sections (beginning in Spring2014) and improved pass rates in the course.  Calc I Pass Rate 80.0% 75.0% 70.0% 65.0% 60.0% 55.0% 50.0% Spring 2008 Spring 2009 Spring 2010

Conference Session

Mathematics Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Rebecca George, University of Houston

Tagged Topics

Diversity

Tagged Divisions

Mathematics

if the term was the Spring semester and 0 if it was the Fall semester. Summerand Mini semester information will not be used.Measures - Mediation and Moderated Mediation ModelsThe model for mediation focused on using the students’ test scores from class (test) as theindependent variable with final semester average (grade) as the dependent variable. The stu-dents’ score on an anxiety survey (anxiety) was used as the mediator in the model. Anxiety a b c’Test Grade Figure 2: Single mediator model.ResultsHierarchical linear modeling was used to statistical analyze a data structure where

Conference Session

Using Applications and Projects in Teaching Mathematics

Collection

2012 ASEE Annual Conference & Exposition

Authors

Gunter Bischof, Joanneum University of Applied Sciences, Graz, Austria; Christian Steinmann, Joanneum University of Applied Sciences, Graz, Austria

Tagged Divisions

Mathematics

, the collisional efficiency of FHP-I is therefore only7.8 %. (a) (b)Figure 2: Collision rules for the FHP-I model, reduced by symmetry. Filled circles denoteoccupied cells and open circles empty cells. In-states are shown on the left hand side, out-states on the right hand side.The FHP-II model is a variant of the FHP-I model that includes the possibility of one restparticle per node, in addition to the six moving particles of FHP-I. Each node than has sevenchannels, corresponding to particles moving along the six directions of the triangular latticeand to the rest particle. The channels associated with moving particles are labeled by integersfrom 1 to 6, and the channel corresponding to the rest

Conference Session

Using Computers, Software, and Writing to Improve Mathematical Understanding

Collection

2012 ASEE Annual Conference & Exposition

Authors

N. Jean Hodges, Virginia Commonwealth University, Qatar

Tagged Divisions

Mathematics

of short,in-class writing exercises called “One-Minute Papers” and “Three-Minute Recollections.” One-Minute Papers typically ask students to respond to a single question by writing an answer for nomore than one minute. Educator Brian Steele of Texas Tech University identifies five uses forOne-Minute Papers:____________________ b Although Pashler, McDaniel, Rohrer, and Bjork (2008) have uncovered numerous problems with researchin this area and have established doubt for some claims made by Linksman and others regarding learning styles andbrain hemispheric preferences, the author continues to discuss these theories with students to arouse their curiositythrough very personal relevance of the information and to encourage their

Conference Session

Mathematics Division Technical Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

Emre Tokgoz, Quinnipiac University; Hazal Ceyhan

Tagged Divisions

Mathematics

., and Thomas K. (1996). A framework for research and curriculum development in undergraduate mathematics education. In J. Kaput, A. H. Schoenfeld, and E. Dubinsky (Eds.), Research in collegiate mathematics education II (pp. 1-32). Providence, RI: American Mathematical Society and Washington, DC: Mathematical Association of America.2. Clark, J. M., Cordero, F., Cottrill, J., Czarnocha, B., DeVries, D. J., St. John, D., Tolias, G., and Vidakovic, D. (1997). Constructing a schema: The case of the chain rule?, Journal of Mathematical Behavior, 16, 345-364.3. Cooley, L., Trigueros M., and Baker B. (2007). Schema thematization: A theoretical framework and an example. Journal for Research in Mathematics Education, 38(4

Conference Session

Use of Technology in Teaching Mathematics

Collection

2006 Annual Conference & Exposition

Authors

Peter Avitabile, University of Massachusetts-Lowell; Jeffrey Hodgkins, University of Massachusetts-Lowell; Tracy Van Zandt, University of Massachusetts-Lowell

Tagged Divisions

Mathematics

. “Employers Demand New Skills”, Machine Design, Sept 199210 Knight,C.V., McDonald,G.H., “Modernization of a Mechanical Engineering Laboratory using Data Acquisition with LABVIEW”, ASEE Session 226611 Onaral,B., “A Road Less Traveled”, ASEE Prism, September 199212 Wankat,P., Oreovicz,F., “Learning Outside the Classroom”, ASEE Prism, p32, Jan 200013 McConnaughay,K., Welsford,I., Stabenau,E., “Inquiry, Investigation, and Integration in Undergraduate Science Curricula”, Council on Undergraduate Research Quartley, pp14-18, September 199914 Course Webpage for Mechanical Engineering Laboratory I – 22.302 http://faculty.uml.edu/pavitabile/22.302/web_download/Mech_lab_PDF_downloads.htm15 Specific Course Webpage Tags to PDF File and

Conference Session

Use of Technology in Teaching Mathematics

Collection

2006 Annual Conference & Exposition

Authors

Sabina Jeschke, Technische Universitat Berlin, Inst. f. Mathematik; Lars Knipping, Technische Universitat Berlin; Raul Rojas, Freie Universitat Berlin; Ruedi Seiler, Technische Universitat Berlin

Tagged Divisions

Mathematics

Engineering Systems: 9th International Conference (KES 2005), Proceeding, Part I, volume 3681 of Lecture Notes in Computer Sciences, pages 744–750. Springer Verlag, September 2005.9. Gerald Friedland, Lars Knipping, Raúl Rojas, Joachim Schulte, and Christian Zick. Evaluationsergebnisse zum Einsatz des E-Kreide Systems im Wintersemester 2003/2004. Technical Report B-04-06, Fachbereich Mathematik und Informatik, Freie Universität Berlin, June 2004.10. Gerald Friedland, Lars Knipping, Joachim Schulte, and Ernesto Tapia. E-Chalk: A lecture recording system using the chalkboard metaphor. Interactive Technology and Smart Education (ITSE), 1(1):9–20, February 2004.11. Gerald Friedland, Lars Knipping, and Ernesto Tapia. Web based lectures

Conference Session

Integrating Math, Science, and Engineering

Collection

2009 Annual Conference & Exposition

Authors

Paul Kauffmann, East Carolina University; Michael Bosse, East Carolina University

Tagged Divisions

Mathematics

Engineering Education National Conference, June 2001. 2. Hampikian, Janet, John Gardner, Amy Moll, Pat Pyke, and Cheryl Schrader. “Integrated Pre Freshman Engineering and Pre-calculus Mathematics.” Proceedings of the American Society of Engineering Education National Conference, June 2006. 3. Carpenter, Jenna P., Michael B. Cutlip, Michael D. Graham, Anton J. Pintar, and Jan A. Puszynski. “Mathematics and Chemical Engineering Education.” Proceedings of the American Society of Engineering Page 14.187.5 Education National Conference, June 2001.4. James, Wendy and Karen High, Freshman Level Mathematics in

Conference Session

Mathematics Division Technical Session 2

Collection

2015 ASEE Annual Conference & Exposition

Authors

Khalid El Gaidi, Royal Institute of Technology (KTH); Tomas Ekholm, Royal Institute of Technology (KTH)

Tagged Divisions

Mathematics

recommended not to use any devices or aids, like calculators,computers, or formula collections which they are not allowed to use during exams. Apart fromthe three interventions: everyday examples, the joint construction of definitions, and motivating Page 26.401.3application examples, the lectures are given in traditional fashion. The examination itself iscentrally designed and administered to all first-year students. The course literature consists of aSwedish book, Analys i en variable, by Persson and B¨oiers and Calculus: A complete course byAdams and Essex.Aim of the studyThe overarching aim of the study is to scaffold engineering students

Conference Session

Mathematics Division Technical Session 2

Collection

2015 ASEE Annual Conference & Exposition

Authors

Patricia Salinas, Tecnologico de Monterrey (ITESM); Eliud Quintero, Tecnologico de Monterrey (ITESM); Pablo Guillermo Ramirez, Tecnologico de Monterrey (ITESM); Eduardo González Mendívil, Tecnologico de Monterrey (ITESM)

Tagged Divisions

Mathematics

-Mendívil, E. (2014). How can Augmented Reality favor the learning of Calculus? In H. R. Arabnia, A. Bahrami, L. Deligiannidis, & G. Jandieri (Eds.), Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (pp. 443–447). Las Vegas, Nevada, USA: CSREA Press. 3. Carvalho de Alencar, C. V., & Lemos, B. M. (2014). Possibilities of Augmented Reality use in mathematics aiming at a meaningful learning. Creative Education, 5(9), 690–700. 4. Dunleavy, M., Dede, C., & Mitchell, R. (2009). Affordances and limitations of immersive participatory Augmented Reality simulations for teaching and learning. Journal of Science Education and Technology, 18(1), 7

Conference Session

Mathematics Division Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Ravi T. Shankar, Florida Atlantic University; Don Ploger, Florida Atlantic University; Agnes Nemeth, Florida Atlantic University; Steven Alan Hecht Ph.D., Nova Southeastern University

Tagged Divisions

Mathematics

, toachieve three things: (1) the students could appreciate better the physics and engineeringprinciples underlying the components. (2) The students could manipulate these components at ahigh level of abstraction, so they were not burdened with technological and software details. (3)They feel empowered to manipulate the robotic platform to achieve their specific goals.V. B. The Robots Constructed by Students: Figure 2 shows the two versions of robots thatour student teams built. The second version robots (to the right) were built and used by the highschool students. These robots had fewer wheels and used a lighter pen fixed in the center of theplatform, rather than at the back as with the first version of the robots (to the left) built and usedby

Conference Session

Mathematics Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Leszek Gawarecki, Kettering University; Yaomin Dong, Kettering University; Gina Rablau, Kettering

Tagged Divisions

Mathematics

plane.The distribution of grades in this section was as follows; Grade Frequency A 9 B 7 C 6 D 5 F/W 9The results are not indicative of any change in grades distribution in this course.The Likert-type scale results for question on engagement and enhanced learning are statisticallysignificantly positively correlated with the Spearman correlation coefficient 𝜌 = 0.688 (𝑝 −value < 0.005). 6 5 Enhanced Learning 4 3 Enhanced Learning 2

Conference Session

Mathematics Division Technical Session 2

Collection

2016 ASEE Annual Conference & Exposition

Authors

Aimee Cloutier, Texas Tech University; Jerry Dwyer, George Washington University; Sonya E. Sherrod, Texas Tech University

Tagged Topics

Diversity

Tagged Divisions

Mathematics

., Hall, R. V. (1983). The peer tutoring spelling game: a classroom procedure for increasing opportunity to respond and spelling performance. Education and Treatment of Children, 6(3), 224-39.16. Kamii, C., Lewis, B. A., Livingston, S. J. (1993). Primary arithmetic: children inventing their own procedures. Arithmetic Teacher, 41(4), 200-03.17. Klein, J. D. and Freitag, E. (1991). Effects of using an instructional game on motivation and performance. Journal of Educational Research, 84(5), 303-08.18. Liedtke, W. W. (1995). Developing spatial abilities in early grades. Teaching Children Mathematics, 2(1), 12-18.19. Mackay, M. and Watson, J. (1989). Game for promoting communication. British Journal of Special

Conference Session

First-Year Programs Division - Visualization and Mathematics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jaskirat Sodhi, New Jersey Institute of Technology; Ashish Borgaonkar, New Jersey Institute of Technology; Edwin Hou, New Jersey Institute of Technology; Moshe Kam P.E., New Jersey Institute of Technology

Tagged Divisions

First-Year Programs, Mathematics

further suggestions and recommendations.References[1] Borgaonkar, A., Hou, E., Vandermark, S., Kam, M., 2015, “Engineering Math Summer Boot Camp to help Students Succeed in Remedial Courses,” Proceedings 2015 7th First Year Engineering Experience Conference, Roanoke, VA, August 3-4, 2015.[2] Borgaonkar, A., Sodhi J. S., Hou, E.,Baldwin R,, Kam, M., 2017, “Helping First Year Students Start on Track in the Mathematics Sequence,” Proceedings 2017 9th First Year Engineering Experience Conference, Daytona Beach, FL, August 6-8, 2017.[3] Klingbeil, N., Rattan, K., Raymer, M., Reynolds, D., Mercer, R., Kukreti, A. and Randolph, B., 2008, “The WSU Model for Engineering Mathematics Education: A Multiyear Assessment and Expansion to

Conference Session

Mathematics Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Mary Katherine Watson, The Citadel; Tara Hornor, The Citadel; William J. Davis P.E., The Citadel; Simon Thomas Ghanat P.E., The Citadel

Tagged Divisions

Mathematics

performance in Calculus I varied (Table 5).Mentees performed below the threshold required to enroll in Calculus I; however, all menteeshad previously passed Pre-Calculus with a “C” or higher, which required that they progress toCalculus I. Overall, the section GPA was 1.60 and only three of the six students earned therequired “C” or higher to progress to Calculus II.Table 5. Mentee math preparedness and Calculus I performance. MPE Score (%) Calculus I Grade Brad N/A B Jack 38.3 D Kyle 52.0

Conference Session

Mathematics: Recruitment and Retention

Collection

2009 Annual Conference & Exposition

Authors

Michael Georgiopoulos, University of Central Florida; Cynthia Young, University of Central Florida; Cherie Geiger, University of Central Florida; Scott Hagen, University of Central Florida; Chris Parkinson, University of Central Florida; Alison Morrison-Shetlar, University of Central Florida; Tace Crouse, University of Central Florida; Paula Krist, University of Central Florida; Pat Lancey, University of Central Florida; Melissa Dagley-Falls, University of Central Florida; Pat Ramsey, University of Central Florida; Dahlia Forde, University of Central Florida; Anna Koufakou, University of Central Florida

Tagged Divisions

Mathematics

UCF, calledthe EXCEL Program, is a 5-year program funded in 2006. The specific goal of the EXCELprogram is to increase UCF’s retention rates in STEM disciplines, thereby increasing thenumber of students graduating with a STEM degree from the institution. In this process anincrease in the percentages of under-represented groups (women and minorities) graduating withSTEM degrees is expected, since UCF has high percentages of underrepresented minorities inSTEM disciplines (more than 25% of STEM admits at UCF are Hispanics or AfricanAmericans). To achieve EXCEL’s goal, two important objectives are identified: (a) recruitstudents in EXCEL, and (b) retain the EXCEL students in STEM disciplines. The result of thiseffort will be an institutionalized

Conference Session

Computers and Software in Teaching Mathemathetics

Collection

2009 Annual Conference & Exposition

Authors

Jenna Carpenter, Louisiana Tech University

Tagged Divisions

Mathematics

-Summary-Handout.doc2. Schacter, J., “The Impact of Educational Technology on Student Achievement: What the Most Current ResearchHas to Say,” Milliken Exchange on Educational Technology, 1999,http://www.sbceo.k12.ca.us/~ims/techcen/EETT/ImpactofET.pdf3. Critical Issue: Using Technology to Improve Student Achievement, North Central Regional Educational Library, Page 14.1337.13http://www.ncrel.org/sdrs/areas/issues/methods/technlgy/te800.htm#reference4. Murphy, R., Penuel, W., Means, B., Korbak, C., Whaley, A., “E-DESK: A Review of Recent Evidence on theEffectiveness of Discrete Educational Software,” SRI International, Menlo Park, CA

Conference Session

First-Year Programs Division - Visualization and Mathematics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ashish Borgaonkar, New Jersey Institute of Technology; Jaskirat Sodhi, New Jersey Institute of Technology; Moshe Kam P.E., New Jersey Institute of Technology; Edwin Hou, New Jersey Institute of Technology

Tagged Divisions

First-Year Programs, Mathematics

receiveddiscount on tuition fees, free tutoring, meals (breakfast and lunch) and various opportunities toparticipate in activities designed to increase their interest in and enthusiasm for engineering.Analysis of the performance of students is presented in tables 3, 4, 5 and figure 5 below. Ingeneral, students did quite well and most of them were able to reach one mathematics coursehigher than their original placement.Table 3: MATH108 and MATH110 Grades Breakdown 2015-2017 2015 2016 2017 Pass (A/B/C) 37 28 24 Not Passing (D/F) 7 2 10 Total Students 44 30

Conference Session

Mathematics Division Technical Session 3

Collection

2018 ASEE Annual Conference & Exposition

Authors

Robert G. Batson P.E., University of Alabama

Tagged Topics

Diversity

Tagged Divisions

Mathematics

possible combinations of component settings. If theclass is small enough, then teams of 2-6 students can be turned loose to repeat the simpleexperiments as illustrated by the instructor. This introduces some hands-on “fun” to the math-oriented engineering statistics course.Figure 3. (a)Image of a Statapult and its Components; (b) How it is Used to Launch a BallRotate among Delivery Methods To the disdain of many college instructors, Millennials have ashorter attention span than students from earlier decades. They want variety—in fact, surveyshave shown they lose interest unless the delivery method changes every 10 minutes! So, in atypical 50-minute lecture, one should consider an appropriate rotation sequence among lecture(knowledge transfer