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

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Diversity

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Mathematics

the strategies involved in the game. Henceforth it wasbeneficial to include a break for game playing at times when students appeared to be tired or loseinterest.The games primarily involved two players competing against one another in various challengesthat included subtracting numbers to reach zero, eliminating virtual matchsticks to clear theboard, filling Sudoku type squares, and connecting dots to create network patterns. All of thegames involved a need to observe patterns and then plan ahead in strategic ways. Severalelements of classical problem solving were required to participate in these games. Many of thegames are in the NIM category such as that illustrated on the Archimedes’ Lab website.13Students began by competing against the

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

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Diversity

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Mathematics

problems was closely linked to the environment inwhich the problem was presented.One theme that was common between all instructors was providing “minimal background.”Instructors wanted to provide as much time as possible for class discussions rather than lectures.Some instructors achieved minimal lecture in class by using a “flipped classroom” approach.Instructors viewed in class discussions and “contextualizing mathematics” as a better use of classtime.Instructors described a need to be flexible in terms of the amount of time they spent on eachpresented task. The code “dynamic lesson plan” captures the need to recognize that students willfind certain tasks more or less interesting than originally anticipated. This can be difficult topredict

Conference Session

Mathematics Division Technical Session 3: Diversity in Mathematics Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

John Kerrigan, Rutgers University; Lydia Prendergast, Rutgers University; Jillian A.S. Mellen, Rutgers University; Geraldine L. Cochran; Antonio D. Silva

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Mathematics

up the pace with the rest of the class. The remaining students in Math 152are either transfer students or students who are trying to advance to Calculus III in the fall bytaking Calculus II in the summer session. Meeting three times a week for 150 minutes each classand planning appropriate engaging activities is also difficult for the instructor. Given the widerange of students’ backgrounds and twin demands of depth and scope of coverage of thecurriculum, teaching Math 152 as a flipped classroom seemed to be a viable pedagogical strategyin which to offer all students increased opportunities for self-directed learning and instructorfeedback.Flipped Classroom StructureThe flipped classroom instructional design employed in this course allowed

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

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Mathematics

Data) opened doors for new types of dataanalytics called big data analytics and new job opportunities [11]. In 2012, only 23% oforganizations had an enterprise-wide Big Data strategy [5, 12], whereas today 97.2% oforganizations are investing in Big Data [4]. A recent Harvard Business Review [13] survey ofsenior Fortune 500 and federal agency business and technology leaders report that 70% of therespondents plan to hire data scientists. The U.S. Bureau of Labor Statistics (BLS), OccupationalOutlook Handbook 2018 [11] projects that there will be a 34% increase in data analytics jobsfrom 2016 to 2026. A McKinsey Global Institute research report [14] indicates that the demandfor big data analytical talent could be very high and will produce 50 to

Conference Session

Mathematics Division Technical Session 4

Collection

2016 ASEE Annual Conference & Exposition

Authors

Virgil U. Pierce, University of Texas, Rio Grande Valley; Javier Angel Kypuros, University of Texas, Rio Grande Valley; Shirley J. Mills, University of Texas, Rio Grande Valley

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Mathematics

districts, we do not have a complete picture of the data todescribe our results.Bridge to Calculus – the Small-Scale InterventionTypically, more than half of first-year students majoring in engineering and computer science areplaced into courses below Calculus. A fifth to a quarter of the students begin their studies inCollege Algebra. This places these students significantly behind in an engineering or computerscience degree plan, and contributes to difficulties with retention in the majors and successfulcompletion of the major. Students electing majors in mathematics and science are similarly © American Society for Engineering Education, 2016 2016 ASEE National Conferenceaffected. We find

Conference Session

Mathematics Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Rajendran Swamidurai, Alabama State University; Cadavious M. Jones, Alabama State University ; Carl Pettis, Alabama State University ; Uma Kannan, Alabama State University

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Diversity

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Mathematics

and UShealth-care sector planned to use data and analytics to improve their services and reduce errors.As on today, only 10 to 20 percent of the opportunities planned in 2011 have been realized byboth the sectors due to the shortage of technical talent. [7]In recent years, employment for mathematics related occupations increased by almost 4 percent,yet over the same period of time, the number of degrees conferred in math, statistics, andengineering declined by 2 percent [3]. A recent survey from Harvard Business Review indicatedthat big data initiatives are underway in 85 percent of the companies they surveyed. Theseorganizations also indicated that they planned to fill 91 percent of their data science jobs withnew graduates [6]. Though the

Conference Session

Mathematics Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jose Roberto Portillo, Universidad Galileo; Alberth E Alvarado, Universidad Galileo; Jorge Samayoa Ranero, Universidad Galileo

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Diversity

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Mathematics

puta lot of effort in reducing the dropout rate of part-time engineering students, particularly focusingon dropout that occurs during the freshmen year. With this objective in mind and knowing that thestudents’ experience with the first calculus course is an important variable that may lead a studentto abandon his career plan, we decided to implement active learning methodologies [6] to teachthat course to part-time students. As [7] states, active learning methodologies may directlyinfluence social integration and indirectly affect the student’s dropout decision.In this paper, we introduce what we call Guided-Lecture Team Based Learning (GL-TBL), whichis a learning methodology whose core relies on the well-known Team Based Learning (TBL

Conference Session

Mathematics Division Technical Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Janet Callahan, Boise State University; Judith A. Garzolini, Boise State University

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Mathematics

. Garzolini, Boise State University Judith (Jude) Garzolini is the National Science Foundation (NSF) Grant Project Manager for the Idaho STEP grant at Boise State University. She is responsible for managing the $1 Million grant to plan and implement activities focused on increasing the throughput of graduates in Science, Engineering, and Mathematics. During her over 23-year career in industry she worked for Hewlett-Packard Company where she contributed as both an R&D project manager and program manager in the disk drive and printing supplies businesses. Jude received a B.S. in Chemical Engineering from Wayne State University and a Master of Business Administration from the University of California, Davis. She was

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

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Diversity

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Mathematics

pool with limited prior exposure in dealing with racial microaggressions. There were a variety of actions faculty would take to address the microaggression. Tentimes, faculty members said they would discuss classroom norms, and nine times, theycondemned the comment made in the chat. On four occurrences, faculty members noted thevalue diversity brings to the classroom environment; three times, they said they would pause toaddress the comment or would plan to address it in a future class; and, twice, faculty memberssaid they would affirm how Shawna belongs in the class and would invite students to talk tothem one-on-one at a later time. These efforts suggest that most faculty members wanted to callattention to the microaggression and

Conference Session

Mathematics Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Allen J. Antoine Jr, Rice University Office of STEM Engagement; Carrie A. Obenland, Rice University; Roger Ramirez, Rice University; Christopher Barr, Office of Research, Rice University; Matthew Cushing, Rice University; Carolyn Aitken Nichol, Rice University

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Mathematics

education from a cross-curricular perspective.MethodsTeacher Instruments and AnalysisIn order to determine if AMP! achieved the goals of increasing teacher content knowledge,increasing student engagement and academic success, as well as creating supportive teachercadres, multiple levels of assessment were utilized. The evaluation plan included qualitative andquantitative assessments to determine whether teacher changes occurred and, when possible, thelevel of statistical significance of those reported changes. The instruments used included theMathematics Teaching Efficacy Belief Instrument (MTEBI) [42], a Leadership Survey createdin-house, and a Needs Assessment survey also created by the team. AMP! teachers completedthe three surveys before and

Conference Session

Mathematics Division Technical Session 2: Poster Presentations

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Daniel Raviv, Florida Atlantic University

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Diversity

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Mathematics

referred to as work in progress and is designed to be shared and discussedwith multiple audiences. When these kinds of examples were used, students demonstrated betterunderstanding of difficult, abstract concepts and praised the approach. Based on similarexperience that was gained and assessed by the author in other STEM subjects (Control Systems,Digital Signal Processing, Computer Algorithms, Algebra, Calculus, Statics, Thermodynamics,Statistics, and Physics), it is believed that the approach has promising potential. The planned assessment will focus on the effect of the new content on learning outcomes.It will emphasize concept comprehension and student interest in the topic. Clearly, using avariety of assessment methods provides a more

Conference Session

Mathematics Division Technical Session 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jeffrey Lloyd Hieb, University of Louisville; William B. Corley, University of Louisville; Jaqi C. McNeil, University of Louisville

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Diversity

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Mathematics

3  persons. On Tuesday and Thursday the classes met in a standard lecture hall classroom, andexams were always administered on either Tuesday or Thursday. Some Tuesday and Thursdayclass meetings of CALC-II-2T meet in a new ALC on campus. 59% of the students in CALC-II-1T also took CALC-III.3.2 The Flipped Class Redesign PlanAfter reviewing literature on flipped classes, specifically Talbert16 and Bishop and Verleger14 theinstructor set about developing a flipped classroom redesign plan for CALC-II and CALC-III.Content and learning objectives already existed for these courses and were familiar to instructor.What remained was to establish a structure for the courses that followed the flipped class model.Content was divided into units, and

Conference Session

Mathematics Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Doug Bullock, Boise State University; Janet Callahan, Boise State University; Jocelyn B. S. Cullers, Boise State University

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Diversity

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Mathematics

general plan as was used for Calculus I. We then present the results ofapplying the full toolkit to the new Calculus II course. Pass rate and GPA improvements inCalculus II were evident immediately after scale up in the spring of 2016. Sufficient time hasnow passed so that we can apply the full set of assessment tools built for Calculus I to measurethe effectiveness of the Calculus II transformation on academic performance in post-requisitecoursework and on student retention in STEM. Page 1 of 151.0 IntroductionThe grade earned in mathematics courses is critical when considering student retention inengineering and in STEM majors. For example, the work by Budny

Conference Session

Mathematics Division Technical Session 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sandra Nite, Texas A&M University; G. Donald Allen, Texas A&M University; Ali Bicer, Texas A&M University; Jim Morgan, Charles Sturt University; Vanessa Mae Warren, Texas A&M University; Luciana Barroso, Texas A&M University

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Mathematics

since 1999, and in that time has taught multiple different courses ranging from the freshman to graduate levels. She has been active in academic program and curriculum devel- opment from the department level to the university level, where she served as co-chair of the Quality Enhancement Plan (QEP) committee that determined the academic course of actions to be taken over the next accreditation cycle to addresses critical issues related to enhancing student learning. She has re- ceived funding for her engineering education research from the Department of Education FIPSE program and from the National Science Foundation (NSF) CCLI program. She is co-Director of the Aggie STEM Center that provides professional

Conference Session

Mathematics Division Technical Session 3

Collection

2018 ASEE Annual Conference & Exposition

Authors

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

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Mathematics

(at least) it took several courses to getcomfortable with probability and statistics to the point where I felt competent to apply it.” Theopening remarks should include a reminder of how the scientific method works, and that bothinduction and deduction are aided by statistical thinking and methodology. Then carefullyexplain why the course is required, or at least elective, in the various majors represented. Onecan refer to ABET general and program criteria, for instance discussing collection and analysisof data, planning and conducting experiments, engineering problem solving, and communicationof results/recommendations within ones organization or to customers—using the language ofprobability and statistics to professionally address the

Conference Session

Mathematics Division Technical Session 3: Diversity in Mathematics Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Shuvra Das, University of Detroit Mercy; Kirstie A. Plantenberg, University of Detroit Mercy

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Mathematics

acceleration. The electrical stuff is coming in now that I'm taking ELEE 2500. I actually plan to go over my notes because what we're doing in class definitely reminded me of things we did in ENGR 1234. Literally, all the math involved in ELEE right now, I can remember having done work like that in 1234. I didn't know anything about circuits then so it was gibberish to me, but now it clicks! Totally recommend keeping the class. I actually saw some homework my friend was working on for statics and it looked something similar to what we did in 1234. I'm definitely holding on to my notes for the next couple of semesters. • When I took ENGR 1234, the class was challenging because a lot of the material was new

Conference Session

Mathematics Division Technical Session 4

Collection

2017 ASEE Annual Conference & Exposition

Authors

Gavin Duffy, Ohio State University; Sheryl A. Sorby, Ohio State University; Austin Mack, Ohio State University; Brian Bowe, Dublin Institute of Technology

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Mathematics

of the interventions they reviewed is a 1credit course that has been tried and tested over several years at Michigan TechnologicalUniversity (MTU) and emphasises mental transformation between 2 and 3 dimensionaldrawings in the style of isometric sketches, orthographic projections, coded plans andsectional drawings (Sorby, 2009). The course is attended by those who get a low score on aspatial test at orientation. It has been observed that completion of this course has led toimprovements not only in spatial test scores but also to grades in a wide variety of subjectssuch as fundamentals of engineering and pre-calculus (Sorby & Veurink, 2010). In addition,higher retention rates have been measured among those who enrol in the course with

Conference Session

Mathematics Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nancy Romance, Florida Atlantic University; Ali Zilouchian, Florida Atlantic University; Michael Vitale, East Carolina University; Lisa Greenberg, Florida Atlantic University

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Diversity

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Mathematics

progressively guide theparticipants in becoming more effective and independent learners through the application of self-regulated learning strategies (Zimmerman, 1990, 1995, 2002) integrated into the mentoringsessions, and (c) serving as student role models who can highlight how they addressed academicand social issues they encounter, identify what’s really necessary to complete a degree in arigorous domain such as engineering (e.g., persistence, autonomy, active learning), along withthe career potential in terms of what computer scientists and engineers really do, and some of thesupportive benefits offered by the university (See Figures 2-3-4). Our project plan usesevidenced-based mathematics learning initiatives (Bressoud, 2014; Klingbeil, et al

Conference Session

Mathematics Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Eliza Gallagher, Clemson University; Christy Brown; D. Andrew Brown, Clemson University; Kristin Kelly Frady, Clemson University; Patrick Bass, The Citadel; Michael A. Matthews P.E., University of South Carolina; Thomas T Peters, South Carolina's Coalition for Mathematics & Science; Robert J. Rabb P.E., The Citadel; Ikhalfani Solan; Ronald W. Welch P.E., The Citadel; Anand K. Gramopadhye, Clemson University

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Mathematics

., Eng., & Math. (STEM) Health Science Transportation, Distribution & LogisticsThe selection of career cluster is non-binding, but allows for systematic development ofindividualized graduation plans (IGPs) based on career interests. The IGPs primarily affectrecommendations for course electives; all sixteen career clusters have identical recommendationsfor the four-year sequence of mathematics courses, as shown in Table 2. Table 2 Mathematics course recommendations for high school graduation in South Carolina. Grade 9 Grade 10 Grade 11 Grade 12 Algebra 1 Geometry Algebra 2 Precalculus or

Conference Session

Mathematics Division Technical Session 3

Collection

2016 ASEE Annual Conference & Exposition

Authors

Doug Bullock, Boise State University; Kathrine E. Johnson; Janet Callahan, Boise State University

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Mathematics

. Faculty perceptions seem to begenerally positive from the Calculus I reform1 and we will continue to monitor this. We willcontinue to rigorously analyze student performance by looking at course grade performance andpost-requisite course performance. We plan to also begin to monitor student performance incertain engineering courses for which Calculus I or II are prerequisites (Statics and Dynamics).AcknowledgmentsThis material is based upon work supported by the National Science Foundation under GrantNos. DUE-0856815 (Idaho STEP), DUE-0963659 (I^3), and DUE-1347830 (WIDER). Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science

Conference Session

Mathematics Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Angeles Dominguez, Tecnologico de Monterrey, Monterrey, Mexico, and Universidad Andres Bello, Santiago, Chile; Genaro Zavala, Tecnologico de Monterrey, Monterrey, Mexico, and Universidad Andres Bello, Santiago, Chile; Maria Elena Truyol, Universidad Andrés Bello, Santiago, Chile

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Mathematics

transmit a certain concept, previously determined, organized sequentially.  It is a process, which must be planned to deliver information and / or knowledge on a subject, and which should facilitate the development of new knowledge.  It is the delivery of knowledge, rules and contents that can be applied to everyday situations, and to deliver experiences and concrete applications related to the contents seen in classes.  It is a competence that allows the transmission of conceptual and procedural skills and attitudes that allow students to improve their skills, both attitudinal and procedural

Conference Session

Mathematics Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Ruth Rodríguez-Gallegos, Tecnologico de Monterrey (ITESM); Rafael Ernesto Bourguet-Diaz, Tecnologico de Monterrey (ITESM)

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Diversity

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Mathematics