What is ELDA?
Schools and districts are awash in data, from more traditional data sources such as test scores, grades, attendance, discipline reports and surveys, to more recent innovations such as intelligent tutoring computer systems, computer interaction logfile data, and multimodal instrumented instructional spaces. Education Leadership Data Analytics (ELDA) helps school leaders make sense of the data that are collected on students and schools on a daily basis through applying current big data, data mining, and data science analytic techniques to educational issues that are important to teachers, principals, superintendents, parents, and most importantly, students.
NSF Education Data Analytics Collaborative Workshop: How Educators and Data Scientists Meet and Create Data Visualizations
On December 5 and 6 of 2019, the National Science Foundation (NSF) Education Data Analytics Collaborative Workshop was held at Teachers College, Columbia University in New York City. Approximately 80 educators, administrators, data scientists and education researchers from New York and beyond gathered for a two-day workshop. This workshop was a part of the final phase of the collaborative NSF funded research project (NSF #1560720) "Building Community and Capacity for Data-Intensive Evidence-Based Decision Making in Schools and Districts", which is a collaborative partnership on data use and evidence-based improvement cycles in collaboration with Nassau County Long Island BOCES (Nassau BOCES) and their 56 school districts in Nassau County Long Island New York.