Conference Session

Computing Track - Technical Session II

Collection

2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference

Authors

Amber Manning-Ouellette, Iowa State University; Lora Leigh G. Chrystal, Iowa State University; Allie Parrott, Iowa State University

Tagged Topics

Computing, Diversity

participants (Denzin & Lincoln, 2018). The researchers appliedthree areas of the thematic process for data analysis: initial coding, line-by-line coding, andfocused phased coding (Charmaz (2009). Initial coding involved quickly scanning the data andA WiSE approach: Examining how service-learning impacts first-year women in STEM 8openly examining prominent areas that that might be useful or irrelevant. Secondly, line-by-linecoding assisted in pulling significant quotes associated with the initial themes depicted in theinitial coding phase. Finally, we executed theoretical coding in the final phase to uncoverthemes, validating the main categories that emerged from initial coding (Charmaz, 2009). Thepreceding sections highlights

Conference Session

Computing Track - Technical Session I

Collection

2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference

Authors

Atalie Garcia; Monique S. Ross, Florida International University; Zahra Hazari, Florida International University; Mark A Weiss, Florida International University; Tiana Solis, Florida International University; Mohsen Taheri, Florida International University

Tagged Topics

Computing, Diversity

student average of 2.6 versus the far more confident 3.3 ofpost-second year classmates could indicate that curriculum is designed to build perceivedcompetence or that the curriculum has weeded out those with lower competence. The statisticalsignificance suggests that performance and competence should be further examined along thetrajectory (first year students, second year students, post-second year students) to betterunderstand student perceptions of themselves with regards to competence in the area ofcomputing. The research team initially assumed that students identified as high achieving wouldhave higher performance/competence in the area of computing; however, this was not the case.We often focus on underprepared students and their self

Conference Session

Computing Track - Technical Session II

Collection

2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference

Authors

Gretchen Achenbach, University of Virginia; Lecia Jane Barker, University of Colorado; Leisa D. Thompson, University of Virginia

Tagged Topics

Computing, Diversity

Paper ID #241982018 CoNECD - The Collaborative Network for Engineering and ComputingDiversity Conference: Crystal City, Virginia Apr 29A Systemic Approach to Recruiting and Retaining Women in UndergraduateComputingDr. Gretchen Achenbach, National Center for Women and Information Technology Gretchen Achenbach is a research scientist in the Department of Engineering and Society at the Uni- versity of Virginia and with the National Center for Women & Information Technology (NCWIT). She earned her Ph.D. in Psychology from the University of Wisconsin-Madison. Her interests focus on the communication of scientific information and