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A Convenient Rhetoric Or Substantial Change Of Teacher Racial Diversity? A Text Mining Analysis Of Federal, State, And District Documents, Sing Hui Lee, Briana Keith, Yasmine Bey, Yinying Wang, Xiulong Yang, Xiang Li, Jonathan Shihao Ji
A Convenient Rhetoric Or Substantial Change Of Teacher Racial Diversity? A Text Mining Analysis Of Federal, State, And District Documents, Sing Hui Lee, Briana Keith, Yasmine Bey, Yinying Wang, Xiulong Yang, Xiang Li, Jonathan Shihao Ji
Educational Policy Studies Faculty Publications
Teacher racial diversity has been widely considered important in education. However, it remains unclear to what extent and how teacher racial diversity has been addressed at the federal, state, and district levels. In this study, we employed text mining to collect and analyze over three million documents at the federal, state, and district levels. We found that while students of color had disproportionately less access to racially diverse teachers, the documents under our analysis insufficiently discussed the recruitment and retention of racially diverse teachers. Our findings also reveal that education agencies at the federal, state, and district levels paid scant …
Education Policy Research In The Big Data Era: Methodological Frontiers, Misconceptions, And Challenges, Yinying Wang
Education Policy Research In The Big Data Era: Methodological Frontiers, Misconceptions, And Challenges, Yinying Wang
Educational Policy Studies Faculty Publications
Despite abundant data and increasing data availability brought by technological advances, there has been very limited education policy studies that have capitalized on big data—characterized by large volume, wide variety, and high velocity. Drawing on the recent progress of using big data in public policy and computational social science research, this commentary discusses how to approach big data and how big data can be used in education policy research. First, I introduce big data that is potentially relevant to education policy research. I then present methodological frontiers by examining the assumptions, key concepts, merits, and caveats of three commonly used …
Common Core State Standards On Twitter: Public Sentiment And Opinion Leaders, Yinying Wang, David J. Fikis
Common Core State Standards On Twitter: Public Sentiment And Opinion Leaders, Yinying Wang, David J. Fikis
Educational Policy Studies Faculty Publications
The purpose of this study is to examine the public opinion on the Common Core State Standards (CCSS) on Twitter. Using Twitter API, we collected the tweets containing the hashtags #CommonCore and #CCSS for 12 months from 2014 to 2015. A Common Core corpus was created by compiling all the collected 660,051 tweets. The results of sentiment analysis suggest Twitter users expressed overwhelmingly negative sentiment towards the CCSS in all 50 states. Five topic clusters were detected by cluster analysis of the hashtag co-occurrence network. We also found that most of the opinion leaders were those who expressed negative sentiment …