Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Meiqin Li, University of Virginia; Stacie Pisano, University of Virginia; Jennifer Felder Marley, University of Virginia; Anne M Fernando, University of Virginia; Lindsay Wheeler, University of Virginia

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Mathematics Division (MATH)

Paper ID #42504Integrating Precalculus into Calculus II and Its OutcomesDr. Meiqin Li, University of Virginia Dr. Li obtained her Ph.D. in Applied Mathematics from Texas A&M University-College Station in 2017. Dr. Li holds a strong interest in STEM education. For example, she is interest in integrating technologies into classrooms to bolster student success, creating an inclusive and diverse learning environment, and fostering student confidence by redeveloping course curricula and assessment methods, etc. Beyond this, her research intertwines numerical computation, optimization, nonlinear analysis, and data

Conference Session

Mathematics Division (MATH) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Krystal Corbett Cruse, Louisiana Tech University; Carl Boyet; Levi Savercool; Hylie Jane Holloway

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Mathematics Division (MATH)

challenges faced by students entering college [3]. The prerequisiteskills required in an engineering program leave students more likely to experience thesechallenges [2], [4]. First-year engineering students are often simultaneously enrolled in coremath, engineering, and science courses which require strong fundamentals and involvecomputationally intensive content [2], [5].Efforts have been made to better understand these transitional challenges for first-yearengineering students [6]. Tinto's Model of Integration emphasizes the importance of academicand social integration for first-year student success [7], which has been used as the foundationfor models related to engineering retention in engineering education [2], [8]. University ofMichigan

Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mark Mixer, Wentworth Institute of Technology; Deirdre Donovan, Wentworth Institute of Technology

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Mathematics Division (MATH)

STEM. Craftingmitigation plans aimed at student success should be research based and implemented to welcomeand benefit all students. Researchers have worked to identify predictors of STEM persistence,both before matriculation and after. A student’s level of academic success before matriculation isa strong predictor of STEM persistence. These predictors include standardized test scores andtaking calculus in high school [9], [10].Research has found that, after matriculation, a student’s likelihood to complete an undergraduatedegree was linked to a student’s level of academic and social integration. Tinto [11] definesacademic integration by a student's academic performance and their perception of their ownacademic experience. Therefore, it

Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zenaida Aguirre Munoz Ph.D., University of California, Merced; Melissa Almeida, University of California, Merced; Comlan de Souza, California State University, Fresno; Keith Collins Thompson, University of California Merced; Khang Tran, California State University, Fresno; Yue Lei, University of California, Merced; Erica M Rutter, University of California, Merced; Lalita G Oka, California State University, Fresno; Maribel Viveros, University of California Merced; Bianca Estella Salazar, University of California, Merced; Changho Kim, University of California, Merced

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Mathematics Division (MATH)

contribute meaningful insights into the effective integration of technology in education, aspiring to shape the future of STEM learning environments to be more engaging and accessible for all students.Comlan de Souza, California State University, FresnoKeith Collins Thompson, University of California MercedKhang Tran, California State University, FresnoYue Lei, University of California, MercedErica M Rutter, University of California, MercedDr. Lalita G Oka, California State University, Fresno Dr. Lalita Oka is an Associate Professor in the Department of Civil and Geomatics Engineering at the California State University, Fresno. She teaches undergraduate and graduate courses in Geotechnical Engineering. Her research interests

Conference Session

Mathematics Division (MATH) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Juliana Martins Philot, Instituto Mauá de Tecnologia - Brazil; Barbara Lutaif Bianchini, Pontifícia Universidade Católica de São Paulo - Brasil; Eloiza Gomes, Instituto Mauá de Tecnologia - Brazil; Gabriel Loureiro de Lima, Pontifícia Universidade Católica de São Paulo - Brasil; Octavio Mattasoglio Neto Neto

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Mathematics Division (MATH)

contenthelp in the education and later in the performance as an engineer? - the creators of the theorybegan to discuss with professors of mathematics courses, professors of specific courses ofengineering programs and even professional engineers. In these conversations they found adifficulty in communication due to the specific language used in each training, often usingdifferent languages and different symbols for the same mathematical content.From these concerns and the need to have a curriculum more appropriate to courses that useMathematics as a tool, according to Camarena [15], the TMCC curricular phase emerged.In this phase, a methodology was developed to design study programs, firstly of mathematicsfor engineering programs, called Dipcing

Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Julia Spencer, University of Virginia; Megan Ryals, University of Virginia; Gianluca Guadagni, University of Virginia

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Mathematics Division (MATH)

, but was not accomplishing some of theessential goals that instructors had for preparing students for the engineering curriculum. In mostsections of the class, a typical class meeting consisted of a lecture in which the instructorintroduced a type of differential equation and showed the students how to identify and solve thattype of differential equation. The students then completed a worksheet that had them repeat theprocess that the professor just demonstrated on one or more examples of that type of differentialequation. In short, students were trained to be good at mimicking a process and identifying whento use that process. Applications were briefly mentioned, but accounted for only a small portionof the class and were not integrated with

Conference Session

Mathematics Division (MATH) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Luis E Montero-Moguel, The University of Texas at San Antonio; Joel Alejandro Mejia, The University of Texas at San Antonio; Guadalupe Carmona, The University of Texas at San Antonio

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Mathematics Division (MATH)

Paper ID #42419Leveraging Mathematical Modeling to Expand Measurement-Process Opportunitiesfor Engineering StudentsLuis E Montero-Moguel, The University of Texas at San Antonio Luis Montero-Moguel is a Ph.D. Candidate in Interdisciplinary Learning and Teaching specializing in STEM education at The University of Texas at San Antonio (UTSA). Luis holds an MSc in Mathematics Education from the University of Guadalajara and a BSc in Mechanical Engineering. Luis is an NSF-CADRE fellow. As part of his doctoral program, Luis has earned a Graduate Certificate in iSTEM Education and a Graduate Certificate in Engineering Education. With