Data Privacy & FERPA-Aligned Practices for Micro-Schools

Map your data flows, safeguard student information, and align your micro-school's AI and admissions systems with privacy best practices.

This interactive guide is part of your Montilyceum membership hub. Use it as a living workspace to design, reflect, and save your progress.

Category: Ethics Tag: micro-school data privacy policy Linked hub memory: AI-native micro-school

Map your data flows

Identify what data you collect, from whom, where it travels, and where it is stored.

Student data sources
Family & guardian data sources
Staff & contractor data sources
Systems that hold data

Classify data sensitivity

Group data into levels (basic, sensitive, highly sensitive) and note who can access each type.

Basic data
Sensitive data
Highly sensitive data
Access rules

Design consent & transparency

Clarify how you explain data use to families and obtain meaningful consent.

Plain-language privacy statement
AI use explanation
Consent workflow

Review vendors & AI tools

List each tool that handles student or family data and note key privacy considerations.

Tools & vendors
Due diligence notes
Risk level & actions

Define access controls & logs

Set rules for who can see what and how you track access and changes.

Roles & permissions
Authentication & security measures
Access logs & audits

Draft your incident response plan

Plan ahead for what you will do if there is a data issue or suspected breach.

Detection & reporting
Containment & investigation
Notification & communication
Remediation & learning

Connect to AI, admissions & hub

Tie this privacy work into your AI lesson planning, marketing, admissions, and hub systems.

Links to other systems
Hub link / reference
Next actions (30 days)