Conference Session

Engineering Cultures and Identity

Collection

2016 ASEE Annual Conference & Exposition

Authors

Dina Verdin, Purdue University, West Lafayette ; Allison Godwin, Purdue University, West Lafayette; Brenda Capobianco, Purdue University, West Lafayette

Tagged Topics

ASEE Diversity Committee, Diversity

Tagged Divisions

Educational Research and Methods

science teachers’ integration of the engineering design process to improve science learning. c American Society for Engineering Education, 2016 Systematic Review of the Funds of Knowledge Framework in STEM EducationIntroductionFor over two decades, there have been significant and consistent calls to increase the quantity anddiversity of engineering graduates to not only support the workforce demand but also to improveengineering solutions to better reflect the demographics of the U.S. population.1–4 However, thecall to increase the diversity of engineering often has been centered on simply increasing thepercentages of underrepresented groups in engineering. Once these

Conference Session

Engineering Cultures and Identity

Collection

2016 ASEE Annual Conference & Exposition

Authors

Stephen Secules, University of Maryland, College Park; Andrew Elby, University of Maryland, College Park; Ayush Gupta, University of Maryland, College Park

Tagged Topics

ASEE Diversity Committee, Diversity

Tagged Divisions

Educational Research and Methods

pseudonyms), was much slower than the class norm (e.g., in labprogramming assignments), and two students appeared to particularly excel. By the end of terminterviews, the professor and other students could pick out who in particular was struggling andslow, as could Isaac himself, who reflected “I just don’t think I have the brain for programming.”This happened, in spite of the fact that programming in the professional world is rarely a timedactivity with “winners” easily noticed, and in spite of the fact that the students with whom hecompared himself arguably did not belong in an introductory programming class. Specifically,two out of the five students arrived through non-traditional pathways (a second bachelor’sdegree, a community college transfer

Conference Session

Engineering Cultures and Identity

Collection

2016 ASEE Annual Conference & Exposition

Authors

Allison Godwin, Purdue University, West Lafayette

Tagged Topics

ASEE Diversity Committee

Tagged Divisions

Educational Research and Methods

used with cautionand only adjust the model if they are consistent with theory. In this case, the wording ofQ8Eng_k and Q8Eng_l are very similar and these measurement items capture similarinformation about students’ competence beliefs; therefore, this modification was made and theresulting model better reflects the data implied matrix.Figure 2. Confirmatory factor analysis of the latent constructs of identity: interest (Int),recognition (Rec), and performance/competence (PC) beliefs for 2790 students in first-yearengineering at four U.S. institutions during the fall semester of 2015. All paths are significant atthe p < 0.001 level. Image generated using the semPlot package in R74,75.The confirmatory factor analysis indicates that the data do

Conference Session

Engineering Cultures and Identity

Collection

2016 ASEE Annual Conference & Exposition

Authors

Alexis Prybutok, The University of Texas, Austin; Anita D. Patrick, University of Texas, Austin; Maura J. Borrego, University of Texas, Austin; Carolyn Conner Seepersad, University of Texas, Austin; Mary Jo Kirisits, University of Texas, Austin

Tagged Topics

ASEE Diversity Committee, Diversity

Tagged Divisions

Educational Research and Methods

perceivethemselves to fit into a given group, in this case engineering,5 which in turn affects how theyprogress along the academic and career path in their field.6The engineering identity framework utilized in the study is partially based off a physics identitymodel composed of four basic factors: performance, competence, interest, and recognition.5,7Performance describes a student’s belief in their ability to perform in their classes or whenconducting engineering tasks.8 If a student performs poorly in class, they are less likely toidentify themselves as an engineer. Competence describes a student’s belief in their ability tounderstand engineering material, which is often similarly reflected in a student’s performance inclass.8 Interest describes how

Conference Session

Engineering Cultures and Identity

Collection

2016 ASEE Annual Conference & Exposition

Authors

Anita Patrick, University of Texas, Austin; Maura Borrego, University of Texas, Austin

Tagged Topics

ASEE Diversity Committee, Diversity

Tagged Divisions

Educational Research and Methods