Early Warning & Intervention
Access the right insights in the right place at the right time to impact student success.
Identifying students who are at risk earlier empowers you to more effectively intervene and improve outcomes. By applying machine learning and consolidating disparate data sources in our robust data model, Hoonuit gives educators access to best-in class predictive analytics.
We also help you implement and run scalable intervention programs by integrating workflows into the platform that allow you to easily track and monitor the progress of each student and program. Teachers can identify the correct interventions, instantly communicate with other stakeholders, efficiently administer the specific support students need, and track whether the intervention is working.
Hoonuit provides the data-driven insights educators need to improve student performance, long-term retention, and graduation rates. We leverage cutting-edge machine learning and predictive analytics to identify students at risk, understand why, and get them back on track. Built and maintained by our in-house data science team who understands the nuances of education, our proprietary predictive models are customized using to your district’s historical data. Learn more about how predictive analytics are transforming the at-risk identification process.
Creating meaningful interventions is an extremely important step in getting students back on track toward graduation. Intervention effectiveness relies on identifying specific student needs as early as possible, understanding students in context, and taking appropriate action. With Hoonuit, teachers can use visualizations to make smarter, faster decisions and use workflows to digitally track notes and communicate progress in real-time. Our solution provides numerous customizable intervention templates as well as the ability to create your own. Here’s more on the importance of an effective intervention solution.
Hoonuit provides actionable insights to track your interventions’ impact on student outcomes. Our end-to-end solution provides reporting, analytics, and data visualization all in one place. This allows all stakeholders to access, query, and analyze data to inform policies, practices, and decision-making at every level. Know which interventions are working and which need to be modified, and instantly identify changes in risk levels. Discover how this level of access to robust analytics can transform how districts identify trends.
Hoonuit’s Early Warning and Intervention Solution provides insight to identify students at risk, implement interventions, and track program effectiveness.
The student data wall brings disparate data sources together and uses predictive analytics and data modeling to provide cutting-edge insights into which students are at risk.
Drill down into discrete student information to see attendance, behavior, and academic trends that inform appropriate action toward individual students.
Group students into cohorts using data-led insights to build meaningful intervention plans addressing everything from negative behavior to poor academic performance.
Implement intervention programs with fidelity and create custom schedules to assure students are getting the attention they need.
Analyze the effectiveness of interventions, reuse successful programs, and adjust programs that are not performing.
Gain insight into not only which students are at-risk, but which schools may need additional resources for intervention.