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

Tagged Topics

Diversity

Tagged Divisions

Mathematics

first day of class (text in black) and follow-up process during the entire semester (text in green). Adapted from [11].The PD process (Figure 2) is called a cycle because it consists of a few elements that arerepeated11. The description of each element is taken from Ho et al (2001, p.147)12:  Self-reflections: Instructors “undergo self-reflection and clarify personal conceptions.” In this study, all three reflections occurred prior to the first day of class.  Exposures: Workshop facilitators “provide a direction and a model for improvement.” Exposure 1 and Exposure 2 occurred prior to the first day of class, whereas Exposure 3 occurred during the semester.  Confrontations: Instructors “are brought to realize

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

Tagged Topics

Diversity

Tagged Divisions

Mathematics

negatively skewed.The CA scores were negatively skewed because they are the representation of the class activitiesthe students did in class. The authors corrected these violations by reflecting and square roottransforming the CA scores. The data was tested for normality after reflecting and transformingthe data, and the normality was met to run a regression analysis with the transformed data.CALC-IIICA scores in CALC-III violated the regression assumptions of normality and homoscedasticity.The CA scores were negatively skewed. To correct these violations, the CA scores were reflectedand square root transformed. Normality was met after transforming the data.CALC-II-2TFor this model, the original data for UL scores violated the regression assumption

Conference Session

Mathematics Division Technical Session 4

Collection

2017 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Mathematics

women and URM, but Pell-eligible students are not as wellserved.6.0 AcknowledgmentsThe authors gratefully acknowledge the support of the National Science Foundation throughGrant No DUE-1347830, and the ongoing support of the Dean of Arts & Sciences and the Officeof the Provost.ReferencesAllexsaht-Snider, M. and Hart, L.E. (2001). Mathematics for All: How do we get there? Theory IntoPractice, 40(2) 93-101.Ames, C. (1992). Classrooms: Goals, structures and student motivation. Journal of EducationalPsychology, 84, 261-271.Bandura, A. (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. PsychologicalReview 84 (2), 191-215.Bloom, B. S. (1994). "Reflections on the development and use of the taxonomy". In Rehage, Kenneth J