Facility Data: Classroom utilization and resource allocation, like how many hours a week each room is being used.

Instructor Data: Demographics like age, ethnicity and gender salary information productivity levels.

Course Data: Enrollment headcounts, grades and completion rates by program or section.Student Data: Demographics like age, ethnicity and gender whether they are full-time or part-time if they take classes online, on campus or a mix of the two.In particular, educators can use data analytics to record and analyze the following data sets: Big data has become so colossal that traditional data management tools, like Excel spreadsheets and manual record-keeping, are no longer able to keep up.īecause the volume of data has significantly increased with the digital revolution, the need for a robust data analytics program is an absolute must if you want to put your information to use in a strategic way. The term “big data” refers to the immense amount of information that’s created and collected on a daily basis. “Institutions are rushing with their analytics and not thinking strategically about what data they have and how it can help their predictions,” Porter said. As a professor of higher education at North Carolina State University and a previous director of institutional research, Stephen Porter knows this first-hand. When used strategically, big data and data analytics in education has the power to transform an institution. How are you using all of this information to your school’s advantage?

From student GPAs to class section counts, nearly everything can be put into a data set, creating a culture of big data. Think about all the different data sets your school has.

Tools for data analysis in eduction