Conference Session

Engineering Workforce Track - Session VI

Collection

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

Authors

Lesley M. Berhan, University of Toledo; Anne M. Lucietto, Purdue Polytechnic Institute

Tagged Topics

Engineering Workforce

Technology.As a preliminary step toward understanding this trend the authors conducted an online survey ofET students. While the ultimate goal of our research is to gain insight into the ET academic andcareer paths of African American students, the survey was open to all students. The centralobjective of the survey was to learn more about ET students, their high school experiences, pathsto their ET majors, their universities and degree programs, and future plans. In this preliminarystudy we do not attempt to separate or analysis the responses of students by ethnicity. The surveyquestions were in four categories: Demographics, High School Preparation, Path to Major,Institution and Curriculum, and Future Plans.ResultsA. Demographics117 students responded

Conference Session

Engineering Workforce Track - Session VI

Collection

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

Authors

Aqdas Malik, George Mason University; Aditya Johri, George Mason University; Rajat Handa, George Mason University; Habib Karbasian, George Mason University; Hemant Purohit, George Mason University

Tagged Topics

Engineering Workforce

influential actors within network.The higher the size of node the more important that actor is in connecting various communitiestogether (see Fig. 4). Likewise, other node-level metrics, Isis Anchalee scored the highestbetweenness centrality. The campaign manager Michelle Glauser, and female engineers Erica Joy,Hsin-Ju Chuang also emerged as important players in engaging people in conversation. Finallyorganization including Hackbright Academy, WomanthologyUK, and Stemettes challenging thestereotypes and promoting women participation in STEM were also considered as the key entitiesinfluencing the network.Future WorkIn our future work we plan to work with larger datasets and apply techniques such as supervisedclassification [20], [21] to help us