at the school.The students who have participated in the program have performed extremely well (Table 2).The grades for the on-campus, full-time registered students are included for the spring 2008semester as a comparison. Analysis of how students with different incoming academicqualifications perform reveals that the current requirements for the Distance Calculus programare sufficient, and that the incoming scores for the small number of students receiving a C orbelow are not distinguishable from students receiving an A or B (data not shown). Table 2—Calculus Grades for Distance and On-Campus Students, 2005-2009 Semester Type # Students A B C D/F/I Withdre
currently being addressed by an engineering service group at Ohio NorthernUniversity. In fact, many outreaches by this service group can become a centerpiece fordiscussion of engineering, science, and mathematics concepts in a realistic context. With anappropriate introduction to water purification, students can be asked to: Draw a model of the water purification system. Use Bernoulli's Principle in context. o Consider two points: one at the collection point (A) and one at an arbitrary fountain (B). Bernoulli's principle relates the water pressure (p), gravitational velocity (g), velocity (v), density ( ) and height above some reference height (z). According to Bernoulli, these quantities will stay constant
aspects beingidentical). In addition, the second group of Calculus I students were followed in Calculus II (stillutilizing textbook homework assignments and taught by Instructor A) and in Calculus III(utilizing WeBWorK assigned on a weekly basis for homework and taught by Instructor B).Louisiana Tech University is on a quarter calendar with semester hours. Terms are 10-weekslong and the maximum full-time student course load is 12 semester credit hours. The calculussequence consists of five three-semester hour courses. Calculus I consists of algebra andtrigonometry topics (approximately 2/3 of the course) and calculus topics (limits and conceptualdevelopment of derivative as a limit, up to but not including, the derivative rules). Calculus
) 9 1 11% 56 20 36% Hispanic 10 9 90% 11 7 64% Minority (A, B, I) 1 1 100% 7 4 57% Other (Missing/Unknown, NRA) 3 3 100% 4 2 50% Age <=25 20 12 60% 62 25 40% >25 3 2 67% 16 8 50% Start of Spring 2009 Term: Earned Credits Sum 556
Computer Education, Vol. 44, No. 1, pp. 53-63 (Winter 2010). 6. M. Butler, and R. Zerr, ―The Use of Online Homework Systems to Enhance Out-of-Class Student Engagement,‖ The International Journal for Technology in Mathematics Education, Vol.12, No.2, pp. 51- 58 (2005). 7. B. Gutarts and F. Bains, ―Does Mandatory Homework Have a Positive Effect on Student Achievement for College Students Studying Calculus?‖ Mathematics and Computer Education, Vol. 44, No. 3, pp. 232- 244 (Fall 2010). 8. S. Hauk and A. Segalla, ―Student Perceptions of the Web-Based Homework Program WeBWorK in Moderate Enrollment College Algebra Classes,‖ The Journal of Computers in Mathematics and Science Teaching, Vol
Paper ID #32891Using Science Concepts in a Mathematics Professional Development ProgramTo Improve Student’s Standardized Test ScoresMr. Allen J. Antoine Jr, Rice University Office of STEM Engagement As Associate Director of Mathematics and Computer Science of the Rice Office of STEM Engagement (R-STEM), Allen provides mathematics and computer science support. In this role, he specializes in providing lesson ideas, professional development, and teacher mentoring in the fields of mathematics and CS. Particular points of emphasis include increasing numeracy, inquiry-based learning and culturally responsive teaching strategies
case has been offered, but more specificsurvey data and/or qualitative study would be necessary to draw a firm conclusion as to whyhomeschoolers have such relatively high retention rates in undergraduate engineeringprograms.References [1] T. D. Snyder, C. de Brey, and S. A. Dillow, “Digest of education statistics 2014, nces 2016-006.” National Center for Education Statistics, 2016. [2] B. D. Ray, “Research facts on homeschooling,” 2019. [Online]. Available: https://www.nheri.org/research-facts-on-homeschooling/ [3] A. Hirsh, “The changing landscape of homeschooling in the united states.” Center on Reinventing Public Education, 2019. [4] M. F. Cogan, “Exploring academic outcomes of homeschooled students.” Journal of College
and one requiring a written explanation). An example of a problem in thecategory of basic mathematics (numeracy) is the following (problem 1): “10% of the boys and10% of the girls at school play soccer. How many percent of all students in the school playsoccer? A) 5%, B) 10%, C) 15%, D) 20%, E) Cannot answer.” A problem from scientificmathematics (calculations with scientific notation and units) is (problem 2) “Complete thecalculation: s = vt = 3.0 ⋅ 108 m/s ⋅ 2.0 ⋅ 10-5 s = ”.The same mathematics test was used as pre- and post-test. The pre-test was administered inclass during the first week of first semester, before the physics course had started, and thepost-test was administered in the second week of second semester, which was the
AC 2011-842: A PRELIMINARY INVESTIGATION OF USING WRITINGAS A CRITICAL THINKING TOOLN. Jean Hodges, VCUQatar Since Fall 2004, N. Jean Hodges has been an Assistant Professor of Writing at Virginia Commonwealth University Qatar (VCUQatar) in Doha, Qatar. She earned her degrees in North Carolina: a Master of Science in Technical Communication from North Carolina State University and a Bachelor of Arts in Business Administration, magna cum laude, from Queens College (now Queens University). Her work experiences in legal, medical, executive, and academic positions and her business training have informed her understanding of writing in the workplace and in different fields. Her interdisciplinary Master’s pro- gram
push the the next have thirty pattern you blue. This equals number by tiles. You have on Students is called button three looking at the and your your help each the core. more times, pattern of the partner are magnetic other to One of what will numbers. going to board. make sure these your answer Don’t add in make a Look and they are colors is be? Make a your head; use pattern. 2.3 see which measuring the prediction. the other B one of the their element
other students at the same school of the same grade levelwho did not participate in the class. The mathematical problem-solving inventory was based onKnuth’s (2005) and Weinburg’s (2004) work investigating student mathematical growth.Procedures and MethodologyThere are 3 phases to this research project: (a) establishing a baseline, (b) administering theintervention, and (c) measuring possible effects. We discuss each in turn.Establishing a baselineTo establish a baseline, we used two measures. 1) We gave the mathematical problem-solvinginventory to both students enrolled and not enrolled in the programming class. The students whowere not enrolled in the programming class and who took the mathematical problem-solvinginventory served as our
, 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
computer program for the numerical simulation and visualization ofdynamic vibration absorbers. Only minimum requirements were defined in the projectassignments and no limits were placed on the students’ creativity or on the amount of timethey should invest in order to complete the projects. This kind of creative freedom paired withthe competition between the teams led to one acceptable and two very presentable results. Allthe figures presented in this paper are based on the programs written by those latter twoteams, hereinafter referred to as “group A” and “group B”.Equations of motion of dynamic vibration absorbersDynamic vibration absorbers are widely used passive vibration control devices. They can berealized as a comparatively lightweight
25 23 20 18 15 13 9 10 7 6 4 5 4 5 1 0 A B C D F Figure 3: Grades in ENGR1234 Other Math classes taken with ENGR1234 50
Based Learning and Authentic Assessment in Digital Pedagogy: Embracing the Role of Collaborative Communities”. The Electronic Journal of e- Learning, 13(2), 68-83.Costa, A., & Kallick, B. (2008). Learning and Leading with Habits of Mind: 16 Essential Characteristics for Success. Alexandria: Association for Supervision & Curriculum Development.Harper, K., Baker, G. R., & Grzybowski, D. M. (2013). First Steps in Strengthening the Connections Between Mathematics and Engineering. PEER. Atlanta: American Society for Engineering Education.Holmegaard, H. T., Madsen, L. M., & Ulriksen, L. (2016). Where is the engineering I applied for? A longitudinal study of students’ transition into higher
following numeric values: A+ 4.3 B+ 3.3 C+ 2.3 D+ 1.3 F 0.0 A 4.0 B 3.0 C 2.0 D 1.0 W -1.0 A- 3.7 B- 2.7 C- 1.7 D- 0.7Analyses were performed both with and without numerical W’s included in the analysis.To identify significant covariates for DE Grade, potential independent variables were investigatedusing the traditional lecture data set. The potential variables included: • ACT Math, • Prior GPA (in previous math courses), • Number of Repeats (how many times students repeated previous math classes), • First Time (whether or not this was the first time students had taken DE), and
was 2,888 visits per day, with a standarddeviation of 1,038 visits, a maximum of 5,377 visits and a minimum of 610. Notice that one ofthe main reasons of the high variability is due to the Easter Week (spring break), denoted by (A)on the graph, and summer break, (B) on the graph. This behavior was surprising because in mostLatin American countries the academic year runs from January to December, and there are only afew weeks of break during the summer. This shows that some of our users comes fromSpanish-speaking people residing in countries outside of Latin America.In order to segment our population depending upon country of residency, we also collected thecountry and city from which users were accessing our website. Figures 4 and 5 show the
intervention underway is flipping the Differential Equations course. Onthe other hand, since Engineering Analysis II has students both dropping out and repeating it, somecareful analysis of the current structure of the course and in-class activities warrants more attentionand reflection.Conclusions This paper reviewed two cohorts of students progressing through the mathematics sequenceat the University of Louisville J. B. Speed School of Engineering. Data verified other research andshowed that attrition is highest in and after the second semester, but it also identified somebottlenecks in later courses that cause students to repeat courses, possibly delaying their graduationdates. This analysis looked at a multidimensional dataset of student
Paper ID #25431Exploring the Relationship Between Course Structures and Student Motiva-tion in Introductory College CalculusMrs. Paran Rebekah Norton, Clemson University Paran Norton is a doctoral research assistant in the Engineering and Science Education department at Clemson University. She received her B.S. degree in Mathematics from the University of North Geor- gia in 2013 and her M.S. degree in Mathematical Sciences from Clemson University in 2015. She has taught introductory mathematics courses at Clemson University. Her primary research focuses on improv- ing student success in introductory college calculus
university grant was received in 2016 for Mathematics, EET, and MECET faculty to create alab manual for Engineering Calculus II. The lab manual consisted of an EET laboratory projectand a MECET laboratory project for each topic as shown in Table 1 [2], [4]. The laboratoryprojects consisted of problems to be solved using the open-source SageMath software [5]. Thelaboratory projects illustrating the applications of integration are shown in Appendices A and B.The laboratory project in Appendix A was developed for MECET students and covers thecentroid of an area. The laboratory project in Appendix B was developed for EET students andcovers the calculation of the dc and rms values of periodic waveforms.AssessmentThe effectiveness of the new Engineering
1.043 .307 19.717 .000 .335 .563Table 4. Results of two-way repeated measures ANOVA to check for interactionbetween gender and spatial ability. (a) (b) (c) (d) (e)Figure 3. Graph of the interaction of gender and spatial ability level on (a) MPT, (b)GPA, (c) SAT Math, (d) ACT Math and (e) ACT SCIRE.Finally, a correlation matrix is presented in Table 5 to show the extent to which each of thetest measurements correlate with each other based on the full data set n 2 3 4 5 6 1. MPT 1053
Paper ID #6988First Steps in Strengthening the Connections Between Mathematics and En-gineeringDr. Kathleen A Harper, The Ohio State University Kathleen A. Harper is a faculty lecturer in the Engineering Education Innovation Center at The Ohio State University. She received her M. S. in physics and B. S. in electrical engineering and applied physics from Case Western Reserve University, and her Ph. D. in physics from The Ohio State University. She has been on the staff of Ohio State’s University Center for the Advancement of Teaching, in addition to teaching in both the physics department and college of engineering. Her
AC 2008-1548: TEACHING DIFFERENTIAL EQUATIONS IN A DIVERSECLASSROOMTaskin Padir, Lake Superior State University Assistant Professor, School of Engineering and TechnologyKimberly O. Muller, Lake Superior State University Assistant Professor, School of Mathematics and Computer ScienceCollette Coullard, Lake Superior State University Professor, School of Mathematics and Computer Science Page 13.1157.1© American Society for Engineering Education, 2008 Teaching Differential Equations in a Diverse ClassroomAbstractA course on ordinary differential equations is included in the core of almost all undergraduateengineering programs. Therefore, it
AC 2010-2356: MODERN MATHEMATICS REQUIREMENTS IN A DEVELOPINGENGINEERING PROGRAMZohra Manseur, SUNY OswegoAdrian Ieta, SUNY OswegoRachid Manseur, SUNY-Oswego Page 15.883.1© American Society for Engineering Education, 2010 Modern Mathematics Requirements in a Developing Engineering ProgramAbstractThis project is a collaboration of math and engineering educators ___, meant to closely analyzethe educational relationship between math and engineering as part of the development of a newinnovative electrical and computer engineering program. The main objective is to optimize thecurriculum for efficiency in educating engineers with skill sets that allow them to competeeffectively in
33.4 31.9 27.5Algebra II 17.7 13.7 18.9 22.0 19.1 16.8 24.2 20.8 25.6 19.7Algebra I* 10.3 7.2 5.9 7.6 6.8 8.4 --- --- --- --No Math Data 0.3 0.3 1.0 0.3 0.7 0 2.4 2.6 0.4 0.9*Beginning in Fall 2012, students with ACT-MATH sub-score of 18 or less, are not admitted toa CEAS major and instead admitted into the university’s Exploratory Advising program. Henceno data has been kept for 2012 and forward.To better inform students of the academic pathways in engineering, engineering technologyand applied sciences, the admissions requirement into CEAS was revised in Fall 2012. InCEAS Exploratory (CEAS-EXEP), students must achieve a grade of B or better in
champion. The students are then asked to take the probability of each seed becomingchampion and compute the expected number of the 143 school brackets to have selected thatseed (i.e., E[no. brackets] = 143 * pi). A normalized prediction error between these two values, a Page 24.930.6and b, is computed usingδi = (a-b)2/b, for each i = 1,2,…,16 seed. Table 1: Student Body Predictions National Number of Student Expected Number Prediction Champion Selections, a of Brackets, b Error, δi 1 seed 78 72.8
a flipped classroom can be difficult for teachers. Time is needed to developinstructional materials for students to view outside of class, in addition to the time required for developingconstructive in-class activities. Teachers who have persisted with this teaching method often report that theirclassrooms are not optimized until the third or fourth implementation. This paper describes the three-yearprogression from traditional lecture style to flipped classroom design of a large enrollment differential equationscourse at the University of Louisville’s J. B. Speed School of Engineering. The discussion section of the paperreflects on specific implementation difficulties of flipping a classroom, and gives strategic suggestions forinstructors
AC 2009-1803: INTEGRATION OF ASSESSMENT AND CURRICULUM INENGINEERING, MATHEMATICS, AND PHYSICAL-SCIENCE PROGRAMSEduardo Chappa, Texas A&M International University Dr. Chappa is an Assistant Professor of Mathematics at Texas A&M International Unversity (TAMIU). He received his B.S. and M.S. degree in Mathematics from Pontificia Universidad Catolica de Chile in 1990 and 1993 respectively. Dr. Chappa received his Ph.D. from University of Washington in 2002. Dr. Chappa was a visiting assistant professor at Texas A&M University before joining TAMIU, and is a member of the AMS.Terutake Abe, Texas A&M International University Dr. Abe is an Assistant Professor of Mathematics at Texas A&
AC 2009-1881: THE ENGINEERING-MATH COMMITTEE: A SUCCESSFULCOLLABORATION AT ___ UNIVERSITYEvelyn Brown, East Carolina UniversityHeather Ries, East Carolina University Page 14.1214.1© American Society for Engineering Education, 2009 The Engineering/Math Committee: A Successful Collaboration at East Carolina University Evelyn C. Brown, PhD Associate Professor, Department of Engineering East Carolina University, Greenville, NC 27858 Heather L. Ries, PhD Associate Professor, Department of Mathematics
Paper ID #19737The Impact of a Flipped Math Course on Peer LearnersDr. Gianluca Guadagni, University of Virginia PhD in Mathematics University of Virginia Lecturer, Applied Mathematics, Department of Engineering and Society, School of Engineering and Ap- plied Sciences, University of Virginia.Dr. Bernard Fulgham, University of Virginia Bernard Fulgham received his PhD in Mathematics in 2002, writing his thesis in the field of non-associative algebras with advisor Kevin McCrimmon. He began teaching Applied Mathematics at the University of Virginia in August 2004 and became a full-time Lecturer in 2006