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.
Principal effects association with growth in school proficiency over time: An example from Illinois.
Principals are stakeholders for improving teaching and learning in schools and must envision academic success for all students. Based on previous empirical studies, there currently is a lack of research showing a relationship between principal factors, such as training and experience, and student achievement. However, of the studies to date, many have conducted their investigations of principal effects through OLS (Ordinary Least Squares) or HLM (Hierarchical Linear Modeling) regression, two types of inferential statistics that attempt to fit a sample to a single “best fit” line.