Prepare data for personalized learning

  • 4 minutes

Preparing data for personalized learning requires setting up rules and practices and defining the roles and responsibilities for AI use.

Data governance practices

Keeping data safe and secure is a top priority for educational institutions. Data governance means setting up rules and practices. These rules help manage data quality, security, and compliance.

A strong data governance framework reinforces security, safeguarding confidentiality, availability, and integrity. Use these governance strategies and install robust security measures to help in defending against cyber threats and managing data effectively.

Establish data governance roles and responsibilities

It's important to assess your infrastructure's readiness for secure AI use. An AI system can meet security standards, but staff and infrastructure still need to be ready. A plan helps address data governance issues unique to your school or institution. Consider these questions as you develop a plan.

  • Should you buy a prebuilt AI system, develop apps in-house, or update what you have?
  • Should organizations store data for AI systems on-premises or in the cloud?
  • Does the data architecture follow legal requirements?

Next, figure out who serves in these roles:

  • Incident manager: Leads AI incident response. Manages communication flows and delegates tasks. They don't perform technical duties.
  • Technology manager: Offers subject matter expertise in AI, data security, and response measures.
  • Communication manager: Communicates with internal and external stakeholders about important decisions or incidents.

If no one fits these roles, you may need to hire an expert. Assigning roles early helps gather diverse perspectives and foster teamwork before AI implementation.

High-quality data for personalized learning

Photo of an educator and two students sharing a laptop.

Once your data is secure, you can start using Microsoft AI to enhance student learning outcomes. Worldwide, institutions are creating custom AI agents that give users the data they need. Microsoft AI tools provide personalized tutoring and support to teaching teams. Educators can look at data to find patterns in student performance and areas where they need extra support. With AI insights, institutions can discover trends in subjects, demographics, and individual learning styles, even when handling large amounts of information.

Visit the AI Navigators or AI Snapshots sections in the AI Toolkit to discover more ways to personalize learning with Microsoft AI.