As we approach the end of the first quarter of the school year, we are excited to fulfill our commitment to share 12 strategies that will promote and strengthen school relationships. We've already shared 6 effective strategies (see below), and now we want to introduce an advanced approach to help improve student well-being and prevent bullying.

We’re thrilled to present an algorithm designed to help predict student behavior, enabling educators to take proactive steps in addressing issues like bullying. This tool will support your ongoing efforts to create a safer, more supportive environment for all students. Here’s how it works:

10 Steps to Predict Bullying and Improve Student Well-being:

1. Identify Key Factors: Track key data, including student actors, specific behaviors, the physical spaces where behaviors occur, the frequency of incidents, and bullying reports.

2. Categorize Students for Well-being Support: Assign students to categories within the PBIS (Positive Behavioral Interventions and Supports) framework to tailor support based on individual needs.

3. Create Tiered Activities: Design specific activities for students based on tiered intervention, acknowledging that 5% of students will need more focused support than the other 95%.

4. Assign Personalized Activities: Develop customized activities and curricula for individual students based on their unique needs and challenges.

5. Develop a Behavioral Prediction Model: Build a "Random Forest" model to analyze student behaviors, calculating scores for each "decision point" and determining whether behavior is trending positively, negatively, or neutrally.

6. Ensure Predictable Outcomes: Use this model to create predictable and clear outcomes for each student's behavior, helping students understand the consequences of their actions.

7. Plot Behavior Over Time: Monitor student behavior over time and assess the speed of behavioral improvements or regressions.

8. Calculate Behavior Correction Time: Estimate how long it will take to correct certain behaviors based on the data collected.

9. Multiply Results Over Time: Use this data to predict future behavior patterns and adjust interventions as needed.

10. Present and Improve: Share results with the team and use the insights to build a safer, more effective school environment for all students.

Practical Tips:

• Ensure Data Accuracy: Maintain a comprehensive database with clear definitions for variables like "actors," "behaviors," and "spaces" to help the model accurately interpret student behavior.

• Incorporate Coping Profiles: If you know a student's coping profile, you can assign specific interventions tailored to their emotional and behavioral needs.

• Utilize Advanced Bullying Reports: Download the student-created bullying report database to create advanced tables for deeper analysis and insights.