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WiP: Metacognitive and social-emotional-learning interventions in first-year Calculus

Conference Session: MATH - Works in Progress for Mathematics Education
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Maureen Tang, Drexel University; Jennifer S Atchison, Drexel University
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

studies materials and processes for electrochemical energy storage and conversion.Dr. Jennifer S Atchison, Drexel University Jennifer Atchison received her Ph.D in Materials Science and Engineering in 2012 from Drexel University. Dr. Atchison’s professional interests include nanofibrous textiles, engineering design, engineering education, especially active learning, diversity, ©American Society for Engineering Education, 2025 Work In Progress: Metacognitive and social-emotional-learning interventions in first-year CalculusAbstractStudent performance and retention in STEM majors is a major concern in higher education.Individual attention and coaching are effective at

Relevance Score: 0.63268316

The Impact of Inquiry-Oriented, Differential-Equations Instruction on Students' Performance and Beliefs about Mathematics

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
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

forTeaching and Learning Ordinary Differential Equations: A Systemic Literature Review andBibliometric Analysis,” Mathematics, vol. 9, no. 7, p. 745, Mar. 2021, doi:https://doi.org/10.3390/math9070745.[5] S. Arslan, “Do students really understand what an ordinary differential equationis?,” International Journal of Mathematical Education in Science and Technology, vol. 41, no. 7,pp. 873–888, Oct. 2010, doi: https://doi.org/10.1080/0020739x.2010.486448.[6] C. L. Rasmussen and K. D. King, “Locating starting points in differential equations: arealistic mathematics education approach,” International Journal of Mathematical Education inScience and Technology, vol. 31, no. 2, pp. 161–172, Mar. 2000, doi:https://doi.org/10.1080/002073900287219.[7] C. L

Relevance Score: 0.01843928

Unlocking Success in Calculus for Engineering Majors: Impact of Engagement Tactics for Underrepresented Undergraduate Engineering Students

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
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

exercise of control. New York: W.H. Freeman.[3] Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109-132.[4] Hackett, G. (1995). Self-efficacy in career choice and development. In A. Bandura (Ed.), Self- efficacy in changing societies (pp. 232-258). New York: Cambridge.[5] Rottinghaus, P. J., Larson, I. M., Borgen, F. H. (2003). The relation of self-efficacy and interests: A meta-analysis of 60 samples. Journal of Vocational Behavior, 62, 221-236.[6] Hidi, S., & Renninger, K. A. (2006a). The role of interest in learning and development. Annual Review of Psychology, 57(1), 517-540.[7] Hakkarainen, K., & Malmberg, J. (2004). Communities of networked expertise

Relevance Score: 0.017539255

Exploiting a Grading Option to Measure Mathematics Confidence of Engineering Students

Conference Session: Mathematics Division (MATH) Technical Session 2
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Gianluca Guadagni, University of Virginia; Deepyaman Maiti, University of Virginia; Farzad Shafiei Dizaji
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

choose the grading option before the end of the semester at a specific deadline: 04/28/2020, 11/06/2020, or 04/30/2021. All deadlines, even in Spring 21, were before Final Exams.Description of SurveyOur study participants (second, third-, and fourth-year students who had taken at least one APMA course)completed a ~50-question online survey [1] early in Spring 22 semester about their experiences in APMAcourse(s) from Spring 20 to Spring 21 semesters. Survey questions were related to demographic data,motivation, technological tools/ applications used, office hours, help sessions, quizzes/tests in an onlinesetting, grading options, and questions comparing APMA courses with major-related core courses.Analysis Methods, Results, and

Relevance Score: 0.015174627

Leveraging Mathematical Modeling to Expand Measurement-Process Opportunities for Engineering Students

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
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

experience as an engineer and a mathematics teacher, he promotes the expansion of equitable and high-quality learning opportunities for both engineering and K–12 students through mathematical modeling. His research focuses on exploring the process of refining mathematical ideas and engineering concepts that engineering students develop while engaging in model development sequences built in real engineering contexts.Dr. Joel Alejandro Mejia, The University of Texas at San Antonio Dr. Joel Alejandro (Alex) Mejia is an associate professor with joint appointment in the Department of Bicultural-Bilingual Studies and the Department of Biomedical and Chemical Engineering at The University of Texas at San Antonio. Dr. Mejiaˆa C™s

Relevance Score: 0.014845032

Predicting Academic Behaviors of First-Year Engineering Students by Modeling Non-cognitive Factors and their Interactions

Conference Session: MATH - Pedogogical Reflections in Mathematics Education
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Iouliana Ossipova, University of Louisville; Gholam Abbas Sattar-Shamsabadi II, University of Louisville; Thomas Tretter, University of Louisville; Patricia A Ralston, University of Louisville
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

engineering students as well as other engineering education efforts.Dr. Patricia A Ralston, University of Louisville Patricia A. S. Ralston is Professor in the Department of Engineering Fundamentals and directs J.B. Speed School’s Center for Teaching and Learning Engineering. She teaches undergraduate engineering mathematics and is currently involved in various educational research projects focused on the retention of engineering students as well as faculty development. ©American Society for Engineering Education, 2025Predicting academic behaviors of first-year engineering students by modeling non-cognitive factors and their interactionsIntroductionA common reason for many first-year

Relevance Score: 0.014083234

The Role of Mathematical Modeling in Integrating Disciplinary and Societal Knowledge: An Epistemic Network Analysis Study

Conference Session: MATH - Hands-On Curriculum in Mathematics Education
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Luis E Montero-Moguel, The University of Texas at San Antonio; Guadalupe Carmona, The University of Texas at San Antonio; Joel Alejandro Mejia, University of Cincinnati
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

situation”[7, p. 17]. Under the MMP approach, models are “Conceptual systems (consisting of elements, relations, operations, and rules governing interactions) that are expressed using external notation systems, and that are used to construct, describe, or explain the behaviors of other system(s)—perhaps so that the other system can be manipulated or predicted intelligently. A mathematical model focuses on structural characteristics (rather than, for example, physical or musical characteristics) of the relevant systems” [14, p. 10]The evolution of these models is not linear but occurs through iterative development cycles [16,17, 18]. These iterative processes emerge as students solve MEAs and interact with peers

Relevance Score: 0.012420244

Work-in-Progress: Introducing First-Generation, Low-income (FGLI) Students to Math and Engineering through a Music-Themed Summer Program

Conference Session: MATH - Works in Progress for Mathematics Education
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Vicki V. May P.E., Dartmouth College; Petra Bonfert-Taylor, Dartmouth College
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

assignments.And attendance was high, with only a few students missing during each class period. In addition,all students successfully built a kalimba and an electronic piano.Students were surveyed prior to and after the mini-course to get feedback on their interests,background, and confidence. When asked to list the major(s) that they were considering, 44 ofthe 81 students (~54%) listed a STEM major, and 14 students listed engineering, specifically. Onboth the pre- and post-course surveys, students were asked to rank their confidence on differentactivities from breadboarding to succeeding in an engineering course using a scale from 1 (noconfidence) to 7 (full confidence). Pre/post responses for several of the questions asked are listedin Table 2. While

Relevance Score: 0.011615654

Elaboration of a contextualized event for teaching eigenvalues and eigenvectors in the control and automation engineering course

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
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

Paper ID #39362Elaboration of a contextualized event for teaching eigenvalues andeigenvectors in the control and automation engineering courseJuliana Martins Philot, Instituto Mau´a de Tecnologia - Brazil I hold a B.A. in Mathematics from Universidade Estadual Paulista J´ulio de Mesquita Filho - UNESP (2007), a M.Sc. in Mathematics from Universidade Estadual Paulista J´ulio de Mesquita Filho - UNESP (2010) and a Ph.D. in Mathematics Education from Pontif´ıcia Universidade Cat´olica de S˜ao Paulo - PUC- SP (2022). I have experience in Mathematics Teaching for Engineering courses since 2009 and currently I am a

Relevance Score: 0.0113809705

Understanding Students in Times of Transition: The Impact of the COVID-19 Pandemic on Engineering Students' Math Readiness and Transition into Engineering

Conference Session: Mathematics Division (MATH) Technical Session 2
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Olivia Ryan, Virginia Polytechnic Institute and State University; Susan Sajadi, Virginia Polytechnic Institute and State University
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

curriculum. We argue that the pandemic impacted student math readiness, which‬ ‭subsequently impacted their transition to the university and into engineering, as illustrated in‬ ‭Figure 1.‬‭ igure 1‬F‭Relationship between Pandemic, Math Readiness, and Transition to University/Engineering‬‭ . COVID-19’s Effect on Education‬A‭The COVID-19 pandemic brought unprecedented challenges to the education system, and many‬ ‭students struggled. Due to school and home life disruptions during the pandemic, students‬ ‭reported difficulty completing their schoolwork. Specifically, female and underrepresented‬ ‭minority (URM) students reported having more difficulty completing schoolwork‬‭[9]‬‭. With‬ ‭varying restrictions across states and school

Relevance Score: 0.0113809705

Work in Progress: A Structural Change in Calculus Sequences

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
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

, Leaving College: Rethinking the Causes and Cures of Student Attrition. 2nd ed. Chicago, IL, USA: University of Chicago Press, 1993.[12] J. A. Middleton, S. Krause, S. Maass, K. Beeley, J. Collofello and R. Culbertson, "Early course and grade predictors of persistence in undergraduate engineering majors," 2014 IEEE (Institute of Electrical and Electronic Engineers) Frontiers in Education Conference (FIE) Proceedings, Madrid, Spain, 2014, pp. 1-7, doi: 10.1109/FIE.2014.7044367.[13] M. W. Ohland, A.G. Yuhasz, and B.L. Sill, “Identifying and removing a calculus prerequisite as a bottleneck in Clemson's General Engineering Curriculum.” Journal of Engineering Education, vol. 93, no. 3, pp. 253-257. 2004.[14] J. Pearson, L.A. Giacumo

Relevance Score: 0.010497022

Our Learning Experience with MATH 101, a Virtual and Adaptive Remedial Course

Conference Session: Mathematics Division (MATH) Technical Session 2
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Alberth Alvarado, Universidad Galileo; Jose Roberto Portillo, Universidad Galileo
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

score corresponds to the student's firstattempt to solve the worksheet, where no educational resources are available. In other words,these results come exclusively from the student's prior knowledge. In contrast, the maximumscore may match the student's final try, i.e., when the student solves the worksheet successfullyafter studying MATH 101's material. Of course, there are cases where the students only require asingle attempt to solve the worksheet satisfactorily; in these cases, the minimum and maximumscores are equal. Finally, note that the average number of attempts is a relative measure of thetopic's difficulty; the closer to 1, the easier it was for the student to pass to the next module.With the following topic-by-topic analysis, we can

Relevance Score: 0.00985621

Student perception on Inquiry Based Learning Ordinary Differential Equation course

Conference Session: MATH - Student Mindsets in Mathematics
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Thiwanka Nethali Fernando, University of Virginia; Meiqin Li, University of Virginia
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

Relevance Score: 0.00985621

Measuring the Impact of an Enrichment Program for First-Term Undergraduate Engineering Students in Mathematics and Engineering Curricula

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
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

Foundation under Grant No.(2221638).Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] Besterfield-Sacre, M., Atman, C.J. and Shuman, L.J. (1997), Characteristics of FreshmanEngineering Students: Models for Determining Student Attrition in Engineering. Journal ofEngineering Education, 86: 139-149. https://doi.org/10.1002/j.2168-9830.1997.tb00277.x[2] Veenstra, C. P., Dey, E.L., Herrin, G.D.. "A Model for Freshman Engineering Retention."Advances in Engineering Education 1, no. 3 (2009): n3.[3] Nelavai, N., & Ramesh, S. (2020). An Insight into the challenges faced by First Year EngineeringStudents

Relevance Score: 0.009388822

Hands-on Precalculus for Engineering: A Work in Progress

Conference Session: MATH - Hands-On Curriculum in Mathematics Education
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Seth Greendale, Whatcom Community College; Eric Davishahl, Whatcom Community College; Pat Burnett, Whatcom Community College; Tyler L Honeycutt, Whatcom Community College
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

Journal of Research in Educaiton and Sciences, vol. 5, no. 1, pp. 355-373, 2019.[2] C. F. Oretaga-Barba, H. X. Ramirez-Perez and S. M.-P. Andrade, "Who are we receiving at the university? The impact of COVID-19 on mathematics and reading learning in high school," Frontiers in Education, vol. 9, 2024.[3] D. Dewey, E. Fahle, T. J. Kane, S. F. Reardon and D. O. Staiger, "Federal Pandemic Relief and Academic Recovery," 2024.[4] M. Polikoff, I. Clay and D. Silver, "Beyond test scores: Broader academic consequences of the COVID-19 pandemic on American students," Center for Reinventing Public Education, 2023.[5] J. Hampikian, J. Gardner, A. Moll, P. Pyke and C. Schrader, "Integrated Pre-Freshman Engineering and Precalculus

Relevance Score: 0.008130958

Engineering Faculty Perceptions of and Responses to Student Math Readiness

Conference Session: MATH - Student Readiness for Mathematics
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Evelyn Peter Leopold, The College of New Jersey; Ashish Agrawal, Rochester Institute of Technology
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

specifies eight different mathematical competencies, and defines amathematical competency as “a well-informed readiness to act appropriately in situationsinvolving a certain type of mathematical challenge” [11, p. 49, italics in original]. Thesecompetencies cover two broader capabilities: 1) asking and answering mathematical questionsand 2) working and communicating with mathematical language and tools. While competenciescan overlap in that one competency may be needed to achieve other(s), each competency isindividually distinct from the others. Table 1 provides the working definitions of eachcompetency, redefined based on the authors’ interpretation. Table 1: KOM Competencies and Definitions Competency Definition

Relevance Score: 0.0069693923

Work in Progress: Uncovering Links between Mathematical Preparation and Engineering Persistence

Conference Session: Mathematics Division (MATH) Technical Session 3
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Mary E. Lockhart, Texas A&M University; Noor Hakim; Vainavi Chilukuri, Texas A&M University; Jason Champagne; Karen E. Rambo-Hernandez, Texas A&M University; Robin A.M. Hensel, West Virginia University
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

National Academies Gathering Storm committee concluded several years ago that theprimary driver of the future economy, security of the United States (US) as a nation, andconcomitant creation of jobs would be innovation—largely derived from advances in scienceand, particularly, in engineering [1]. It has been estimated that close to 50% of the students whobegin their education in engineering do not follow through to the completion of an engineeringdegree [2]-[5]. Some studies have further documented that the propensity for engineeringstudents to attrit is particularly high during their first two years of college [2], [4]. Givenengineers’ critical role in the growth of the U.S.’s economy, security as a nation, and creation ofjobs, this high-level of

Relevance Score: 0.0066388994

Mastery Grading Approach in a Calculus Course

Conference Session: Mathematics Division (MATH) Technical Session 2
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Hui Ma, University of Virginia
Tagged Topics: Diversity
Tagged Divisions: Mathematics Division (MATH)

(2020) Raisingthe Bar with Standards-Based Grading, PRIMUS, 30:8-10, 1110-1126, DOI: 10.1080/10511970.2019.1695237[6] Carlisle, S. 2020. Simple specifications grading. PRIMUS. 30(8–10): 926–951. https://doi.org/10.1080/10511970.2019.1695238.[7] Lewis, D. (2022). Impacts of Standards-Based Grading on Students’ Mindset and TestAnxiety. Journal of the Scholarship of Teaching and Learning, 22(2), 67-77.[8] Krathwohl, D. R. (2002). A revision of Bloom's taxonomy: An overview. Theory intopractice, 41(4), 212-218.[9] Usher, E. L., & Pajares, F. (2009). Sources of self-efficacy in mathematics: A validationstudy. Contemporary educational psychology, 34(1), 89-101.[10] Dweck, C. S. (2014). Mindsets and math/science achievement.[11] Taylor, J., &