Data Analytics to Improve School Libraries

Abstract

To improve programs, school librarians can analyze and apply data. Standards can help with the process, such as California’s model school library standards. To meet those standards, it is important to recognize and focus on variables to improve library programs. Data analytics can help librarians identify which data to collect, how to organize and analyze the data, and make informed recommendations for library improvement. Data analytics based on the California school library survey offer a predictive model for school library program effectiveness. Data analytics based on the American Association of School Librarians survey offers a longitudinal look at school library programs. A sample scenario that addresses one of the key variables provides the basis for employing data analytics to improve services.