2016 UCEA Convention

This symposium aims to introduce the applications of data analytics in educational leadership and policy research. With the rising tide of big data, this symposium explore how to apply the emerging data analytics to leverage the high-volume, high-variety, and high-velocity data in school leadership preparation, principals’ use of a data warehouse, and educational policy. This symposium invites scholars to capitalize on the potential of data analytics where big data, educational leadership, and educational policy converge.
Participants:

Leaders on the Job Market: An Analysis of Application Patterns & Preferences. Peter
Trabert Goff, University of Wisconsin-Madison; Alex J. Bowers, Teachers College, Columbia University

How Technology, Strategic Decision Making, and School Context In uence Principals’ Use of a Data Warehouse: A Latent Class Growth Analysis. Tim Drake, North Carolina State University

Education Policy Research and Big Data: Applying Quantitative Text Analysis Techniques. John Wachen, University of North Carolina at Chapel Hill

Text Mining Social Media Data on the Common Core State Standards: Topic Modeling
and Hashtag Co-Concurrence Network Analysis. Yinying Wang, David Fikis (Georgia State University)