inacol research webinar: using data to improve management of online schools
DESCRIPTION
Administrators of online and blended schools have access to more data than ever before. This presentation will explore practical examples of how Georgia Virtual School administrators are utilizing data to transform the operations and management of the school. A variety of data sources and software will be shared, allowing any school administrator or teacher to leave the session with ideas to implement immediately. Examples will include: analysis of course surveys, enrollment trends, tool usage in the learning management system, and budget analysis for strategic planning.TRANSCRIPT
iNACOL’s Research in Review Webinar
“Data to Improve Management of Online Schools”
Joe Cozart
Georgia Virtual Learning
December 2013
Using Data to Improve the Management and
Operations of an Online School
Joe Cozart
Background• Supplemental program
est. 2005, grades 6-12
• $250 tuition per student course enrollment
• ~20,000 course enrollments in the last year focused in AP and world languages
• Typical student is at a public school taking an online course with us for the first time because their local school does not offer the course
Overview
• Learning analytics
• Course survey analysis
• Budget analysis
• Course enrollment forecasting
Learning Analytics• Use D2L for LMS and analytics
• This year teachers are required to reflect monthly on data in their e-portfolios, mirrors statewide focus with SLDS and bonus points on CCRPI
• It has let us see student tool access, grade patterns, link between tool usage and grades
Course Surveys
• Course development adjustments
• Better comparison data on teachers than measures like pass rate and class averages.
Budget Analysis• Overspending on new
teacher training in terms of cost per person, low completion rate of new hires
• https://www.openteachertraining.org
Course enrollment forecasting
• 300+ course offerings, 150+ adjunct and FT staff, students from 500+ schools statewide
• Needed better enrollment predictions than blanket growth rate to keep courses staffed and open to new enrollments
• Use time series analysis with SPSS to forecast enrollments and get confidence intervals.