Learn which student data points are considered personal information when building an AI tutor. Protect student privacy by avoiding the use of PI.
Table of Contents
Question
Imagine you’re building an AI-powered tutor for students. To personalize learning experiences, the system needs access to some student data. However, you prioritize protecting student privacy and don’t want to use anything that could be considered personal information (PI).
Which of the following would be considered personal information (PI)?
A. Favorite subject
B. Home address
C. Age range
D. Learning pace
Answer
B. Home address
Explanation
The home address is the potential PI listed because it can be used to identify an individual.
Personal information is any data that could be used to identify a specific individual, either on its own or in combination with other data points. A home address is a clear example of PI, as it directly ties to a student’s identity and location.
In contrast, a student’s favorite subject, age range, and learning pace, while individualized data points, do not specifically identify the student. These details can help personalize the learning experience without compromising privacy.
To maintain student privacy in an AI tutoring system, avoid collecting or using data like:
- Full name
- Exact birthdate
- Social security number
- Phone number
- Email address
- Home address
- Other contact information or specific identifiers
Instead, use more general data points like grade level, subject interests, learning style, and academic progress to tailor the educational content and pace. Always prioritize student privacy and consult relevant regulations when determining what data to utilize.
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