SMART ED OVERVIEW

ATi SMART ED (SMART Education) uniquely identifies students at risk of dropping out of school and delivers real-time guidance to alert officials of the necessary intervention requirements to change the path of individual students and ultimately improve high school graduation rates.

As Bill Gates, founder of Microsoft recently noted, "The world of education is the sector of the economy so far the least changed by technology." ATi is working with our education officials and community members to utilize technology and science to reduce the number of drop outs and improve our education system.

BENEFITS of SMART ED

• A faster, more cost effective way to intercede now and help the 25% of our youth who are failing to receive a high school diploma in four years.
• Changes how technology is used in education by providing intervention guidance options in a web-based user interface "dashboard" for immediate action.
• Empowers administrators, educators, counselors and families with the guidance to intervene, providing choices and alternatives for authorities to make the best decision, increasing the likelihood of graduation.
• Maximizes the impact of intervention, improving our educational standing in the world.

FEATURES of SMART ED

• A solution that identifies students at risk, directs educators to the best intervention programs and support plans, changing a student's trajectory.
• A platform built by proprietary advanced modeling and predictive analytics technologies to create a critical early warning system.
• Produces Intelligent Information that can be viewed at multiple levels-student, school-wide and district-wide so administrators, counselors and teachers can prioritize and target the intervention needed to address the probabilities of students dropping out of school.
• Predicts the interventions most likely to succeed, measures the impact of actions taken and alert educators of changes on which to act immediately.
• A software-as-a-service web application that combines powerful analytics and scientific modeling using the school's existing data assets and external resources to characterize students and groups at risk, including those with no adequate interventions today.