Conference Session

Track: Special Topic - Computing & Technology Technical Session 6

Collection

2019 CoNECD - The Collaborative Network for Engineering and Computing Diversity

Authors

Claudio Vignola, Arizona State University, Polytechnic campus; Nicholas Flowers, Arizona State University; Brooke Charae Coley, Arizona State University, Polytechnic campus

Tagged Topics

Diversity, Special Topic: Computing & Technology

[11]. Specifically, immersive virtual reality (IVR) provides an effective way of 3generating a first-person experience not limited by the constraints of reality, possessing theability to essentially create the impossible in a potentially transformative way. Virtualtechnologies are transforming our external experiences by focusing on the high level of personalefficacy and self-reflectiveness generated by their sense of presence and emotional engagement[12].The power of IVR is its ability to enable a person to change their body representation, i.e.gender, race, age, ability status, etc., in a process known as virtual embodiment. In IVR, whenthe

Conference Session

Track: Special Topic - Computing & Technology Technical Session 3

Collection

2019 CoNECD - The Collaborative Network for Engineering and Computing Diversity

Authors

Elsa Q. Villa, University of Texas, El Paso; Sarah Hug, Colorado Evaluation & Research Consulting; Heather Thiry, Golden Evaluation ; David S. Knight, The University of Texas, El Paso; Elizabeth Fomby Hall, The University of Texas, El Paso; Andrea Tirres, University of Texas, El Paso

Tagged Topics

Diversity, Special Topic: Computing & Technology

demonstrated excellence in four core areas:professional development, scholarly achievements, community outreach, and co-curricular orextracurricular activities.Finally, the Alliance is currently focused on determining what other practices are provingeffective and adding more signature practices to our portfolio, such as: (1) providing workshopson computational thinking and computer science principles to effectively prepare K-12 teachersto integrate these into its existing curriculum; and (2) the development of one- and two-credithour courses on problem solving, which are now in its pilot stage at six CAHSI institutions.These problem solving courses are intended to shift student thinking about how best tosystematically approach a problem, reflect on

Conference Session

Track: Special Topic - Computing & Technology Technical Session 2

Collection

2019 CoNECD - The Collaborative Network for Engineering and Computing Diversity

Authors

Kylel Devine Scott, Arizona State University, Polytechnic; Kamille Green, Arizona State University, Polytechnic; Brooke Charae Coley, Arizona State University, Polytechnic

Tagged Topics

Diversity, Special Topic: Computing & Technology

resurging interest in the presence and impact of implicit bias in both formal andinformal engineering environments. Implicit bias refers to the unconscious associations andstereotypes an individual ascribes based on affiliation with a particular identity that impactsattitudes, actions, and behaviors. Though individuals may hold egalitarian views, they can stillact in ways that reflect an implicit bias that is incongruent with their greater beliefs and/orintentions. While literature and tests on implicit bias exist, to our knowledge, a method tospecifically gauge biases that exist in the perceptions and dynamics relating to engineeringenvironments, more directly, does not.This study introduces a novel mixed-methods approach that incorporates

Conference Session

Track: Special Topic - Computing & Technology Technical Session I

Collection

2019 CoNECD - The Collaborative Network for Engineering and Computing Diversity

Authors

Mihaela Sabin, University of New Hampshire; Wendy DuBow, University of Colorado; Adrienne Ann Smith, Cynosure Consulting; Rosabel Deloge, Educational Consultant-Independent

Tagged Topics

Diversity, Special Topic: Computing & Technology

populations in other studies theproject evaluators have been involved with. To examine the reliability of the items for each keyconcept, Cronbach’s alpha coefficient was computed. Cronbach’s alpha is a common metric forgauging reliability. Its calculation reflects the internal consistency, that is, how related a set ofitems are as a group. Higher values reflect a set of items that are more closely related (valuesrange from 0 to 1.0). For all concepts the calculated Cronbach alpha coefficient was acceptable(above .70), and a composite score was generated using the average response value acrossassociated items. The instrument continued to be refined year to year in keeping with thechanging nature of the project, and new constructs with new questions