Predictive Dropout Model
predictive analytics dropout prevention student support
Prompt
Develop a predictive model framework to identify K-12 students at risk of dropping out based on grades, attendance, and behavior data. Provide steps to implement the model using widely available tools like Excel or Google Sheets and suggest intervention strategies.
Instructions
Input the prompt into an LLM. Specify data types (e.g., grades, attendance records) and tools available (e.g., Excel). Request a step-by-step guide and intervention ideas. Check the output for practical steps and alignment with school resources. If you want TEKS alignment, please add this sentence to the end of your prompt: "Please align the response to the Texas TEKS standards for (grade) and (subject)".
Results Include
A framework for a predictive dropout model with implementation steps and intervention strategies.