Event Category Public
september

Event Details
This webinar, in partnership with AASA, will provide district leaders with a foundational knowledge of how to leverage predictive analytics to build early warning systems for students. The presentation will
Event Details
This webinar, in partnership with AASA, will provide district leaders with a foundational knowledge of how to leverage predictive analytics to build early warning systems for students. The presentation will be led by Dr. John Gatta, CEO and President of ECRA Group, Northwestern University professor, and national leader in the area of K12 data and analytics. You’ll gain valuable insights into how to identify which students are at risk before larger issues arise, identify programming needs, and monitor improvement efforts.
Time
(Wednesday) 12:00 pm - 1:00 pm

Event Details
Data, communicated correctly, has the power to transform the narrative of your school district. This webinar, in partnership with NSPRA, will provide school PR professionals a new way of looking at
Event Details
Data, communicated correctly, has the power to transform the narrative of your school district.
This webinar, in partnership with NSPRA, will provide school PR professionals a new way of looking at data so that when helping build out presentations for the board of education, communicating data on your district’s website, or providing information to local media, you are communicating with clarity and showing the district’s true impact. A concrete three-step approach will be offered along with numerous examples that demonstrate the power of using data to create positive and credible communications. This session will be presented by Dr. John Gatta, Northwestern University Professor and national leader in the area of data and analytics.
Who can attend this webinar?
This webinar benefits all school district administrators. While this webinar is presented in partnership with NSRPA, you are not required to be a member to attend the event.
Time
(Tuesday) 1:00 pm - 2:00 pm

Time
All Day (Wednesday)

Time
All Day (Wednesday)
october

Time
(Wednesday) 12:00 am

Time
(Sunday) 12:00 am
november

Time
All Day (Friday)
january

Time
All Day (Wednesday)