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#ILookLikeAnEngineer: Using Social Media-Based Hashtag Activism Campaigns as a Lens to Better Understand Engineering Diversity Issues

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
, and number of tweets.AnalysisEven though our intent in this proposed work is to undertake research which is exploratory andrisky, to test the viability of our approach we conducted a preliminary analysis. Exploratoryresearch questions that guided the preliminary study included: a) Participation: Who are the mostactive users in terms of follower count in the ILookLikeAnEngineer (ILLAE) dataset? Who arethe most active users in terms of tweet count? Where are the tweets coming from? b) Discourse:What are the most frequent hashtags and their associated themes? c) Interaction: What is a patternof user interaction and its dynamics? In the following sections we present the detailed analysis ofthese inquiries.ParticipationUser analysis:To understand
Relevance Score: 0.2333232

Engineering vs. Engineering Technology: Toward Understanding the Factors Influencing the Academic and Career Pathways of African-American Students

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
to the survey. The majority of the student respondents were from PurdueUniversity Polytechnic Institute and the University of Toledo. Responses were also receivedfrom the University of Dayton, the University of Akron, and Kent State University. The majorityof the respondents (90.5%) were domestic students who attended high school in the UnitedStates or a US territory. The gender split of students responding to the survey was approximately80% male, 20% female. The ethnic and age breakdown of respondents are shown in the Figure 1below. Figure 2 shows the distribution of respondents by major. (a) (b)Figure 1 (a) Ethnicity and (b) age demographics of respondents to ET
Relevance Score: 0.02338079