- Conference Session
- Mathematics Division Technical Session 1
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- 2019 ASEE Annual Conference & Exposition
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Erik A. Mayer, Pittsburg State University; Yaping Liu, Pittsburg State University; David Miller, Pittsburg State University; Jeremy Wade, PacificSource Health Plans
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Mathematics
Engineering Calculus II course focused on mathematic topics more relevant to EET andMECET. In addition, the course included laboratory projects which utilized the open-sourceSageMath software and illustrated the applications of the mathematics to EET and MECET. Theeffectiveness of the new Engineering Calculus II course was assessed using two methods. A finallaboratory project was assigned at the end of the course and assessed with a rubric. In addition,the effect of the new course on EET students was assessed using the Electrical/ElectronicsTechnology Outcome Assessment that was regularly used for assessment for ETAC/ABETaccreditation. Approval to use student data was obtained from the university's InstitutionalReview Board (IRB) which ensures that
- Conference Session
- First-Year Programs: Mathematics in the First Year
- Collection
- 2019 ASEE Annual Conference & Exposition
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Leroy L. Long III, Embry-Riddle Aeronautical University; Claudia Morello, Embry-Riddle Aeronautical University
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First-Year Programs, Mathematics
ways. One, the WrightState Model includes recitation, lecture, and laboratory components. Two, engineering facultyteach first-year engineering students the recitation, lecture and laboratory components instead ofmath faculty. Lastly, the Wright State Model presents all math concepts within an engineeringcontext while solely using math topics and examples from core engineering classes. After beingexposed to the Wright State Model for Engineering Mathematics Education, engineering studentshave had increased graduate rates and GPAs, with the greatest impact on underrepresentedgroups (Klingbeil and Bourne, 2013).Faculty sought to increase first-year engineering students’ retention, motivation, and success bycreating an experimental course based on
- Conference Session
- Mathematics Division Technical Session 1
- Collection
- 2019 ASEE Annual Conference & Exposition
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Guisela Alejandra Illescas Ms, Universidad Galileo; Alberth E. Alvarado, Universidad Galileo; Jose Roberto Portillo, Universidad Galileo
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Mathematics
known that Active Learning methodologies involve the students in their own learningand there is no doubt about their effectiveness in sharing knowledge with today’s students.Actually, undergraduate students taking traditional lecturing-based courses are 1.5 times morelikely to fail than those enrolled in courses where active learning methodologies are implemented[1]. Thus, our university has centered its attention on investigating, applying, improving anddesigning new active learning methodologies. Examples of such methodologies are: The MathOperatory Skills Laboratory (MOSL), introduced in [2], as a remedial mathematics course forfreshmen engineering students; and, the Guided-Lecture Team Based Learning (GL-TBL)targeted to teach mathematics
- Conference Session
- First-Year Programs: Mathematics in the First Year
- Collection
- 2019 ASEE Annual Conference & Exposition
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Mary Katherine Watson, The Citadel; Simon Thomas Ghanat P.E., The Citadel; Timothy Aaron Wood, The Citadel; William J. Davis P.E., The Citadel; Kevin C. Bower, The Citadel
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First-Year Programs, Mathematics
(6.1%), Engineering Physics &Physics (2.0%), Experimentation and Laboratory-Oriented Studies (2.0%), BiomedicalEngineering (2.0%), and Military and Veterans (2.0%). Three papers (4.1%) published in 2005were not published within ASEE divisions as they currently exist.Analysis of Results by Target ClassesMost frequently faculty implemented innovations within typical first-year calculus courses(Table 5). Specifically, 59.2% and 30.6% of retained records reported modifications to or insupport of Calculus I and II, respectively. Fewer retained records reported modifications to or insupport of Calculus III (18.4%) and Calculus IV (4.1%). As some students arrive to engineeringprograms with insufficient math preparation, 26.5% of retained records
- Conference Session
- First-Year Programs: Mathematics in the First Year
- Collection
- 2019 ASEE Annual Conference & Exposition
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Louis J. Everett, University of Texas, El Paso; Phillip Cornwell, Rose-Hulman Institute of Technology; Yirong Lin, The University of Texas, El Paso; Norman Love, University of Texas, El Paso
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First-Year Programs, Mathematics
Paper ID #24675Mechanical Engineering Organized Around Mathematical SophisticationDr. Louis J. Everett, University of Texas, El Paso Dr. Everett is the MacGuire Distinguished Professor of Mechanical Engineering at the University of Texas El Paso. Dr. Everett’s current research is in the areas of Mechatronics, Freshman Programs and Student Engagement. Having multiple years of experience in several National Laboratories and Industries large and small, his teaching brings real world experiences to students. As a former NSF Program Director he works regularly helping faculty develop strong education proposals.Dr
- Conference Session
- First-Year Programs: Mathematics in the First Year
- Collection
- 2019 ASEE Annual Conference & Exposition
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Cem Karacal, Southern Illinois University, Edwardsville; Ma Zenia N. Agustin, Southern Illinois University, Edwardsville; George Pelekanos, Southern Illinois University, Edwardsville
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First-Year Programs, Mathematics
have also offered a summer section of this course to newly admittedengineering students who wanted to make a head start in their studies.Summary of Project Results:Mathematics Enrichment SessionsThe performance of students who opted to register for the ES sections are compared to those whochose the non-ES sections. Non-ES sections have either the traditional recitation sessions orcomputer laboratories that use the software Mathematica. Graduate teaching assistants conductboth of these options. The results from the initial implementation of ES are presented in [5].To gauge the effectiveness of the ES approach, the ES group and the non-ES group werecompared relative to two measures: proportion of students who passed Calculus I, that isproportion