student data
Personal, evaluative or behavioral information from education platforms.
How the laws define this
Educational standards consistently treat student data as encompassing personal or identifying information alongside assessment records collected during learning activities. Each instrument agrees that core personal details and evaluative results fall squarely under this concept. The primary divergence lies in how broadly each instrument incorporates technical telemetry and inferred software data. S.B. 267 Software in Education Amendments adopts the broadest scope, explicitly including metadata, device identifiers, clickstream data, behavioral metrics, and any information software generates or infers. Project 7659/2023 covers personal, evaluative, or behavioral information and interaction logs from education platforms. Meanwhile, the Yapay Zeka ve Eğitim teacher guide focuses on personally identifiable information, assessment records, and student work products collected, stored, or processed in educational contexts.
Synthesised from the 3 statutory definitions below. Each one is quoted in full, with its source.
How jurisdictions differ
What is distinctive in each definition, binding law in force first.
| Jurisdiction | Instrument | Status | What is distinctive |
|---|---|---|---|
| Utah, United States | S.B. 267 Software in Education Amendments | In Force | Expands beyond personal data to explicitly include metadata, device identifiers, clickstream data, behavioral, engagement, or usage data, and any information collected, generated, or inferred during student use of software. |
| Turkey | Artificial Intelligence and Education: Practical Prompt Engineering and Innovative Learning Strategies for Teachers | In Force | Treats student data as sensitive with recommendations for anonymization, KVKK-consistent handling, consent procedures, and risk assessments before using AI in non-binding guidelines. |
| Peru | Project 7659/2023 — Bill to include programming, robotics and AI education in the school curriculum | Under Review | Adds requirements for data minimization, anonymization for reporting, parental consent, and protections under applicable data- and child-protection laws in a bill under review. |
What it triggers
- In Utah, under S.B. 267, it triggers a mandated study by the State Board of Education on software and digital services in public schools.
- In Turkey, the guide recommends anonymization, KVKK-consistent handling, consent procedures, and risk assessments before AI use.source
- In Peru, under Project 7659/2023, it would require data minimization, anonymization for reporting, parental consent where appropriate, and protections under applicable data- and child-protection laws.source
Definitions (3)
Defined as any personal, evaluative or behavioral information collected through education platforms, including assessment results, interaction logs and identifying data; the bill requires data minimization, anonymization for reporting, parental consent where appropriate, and protections under applicable data- and child-protection laws.
Any personally identifiable information, assessment records, or student work products collected, stored, or processed in educational contexts. The guide treats student data as sensitive, recommends anonymization, KVKK‑consistent handling, consent procedures, and risk assessments before AI use.
Includes a student's personal data (as defined in Section 13-61-101), metadata, device identifiers, clickstream data, behavioral, engagement, or usage data, and any information a software collects, generates, or infers in the course of student use.
Not to be confused with
Personal identifying information focuses on data that identifies or could identify a minor, while student data encompasses broader personal, evaluative, or behavioral information from education platforms.
Personal data of minors refers specifically to children's data under GDPR with added safeguards, whereas student data covers a wider range of information collected in educational contexts.
Questions and answers
What extra data types does Utah include in student data?
Utah's definition includes metadata, device identifiers, clickstream data, behavioral, engagement, or usage data, and any information collected, generated, or inferred during student use.
What handling practices does the Turkish AI education guide recommend for student data?
It recommends anonymization, KVKK-consistent handling, consent procedures, and risk assessments before using AI.
What protections would Peru's Project 7659/2023 impose on student data?
It would require data minimization, anonymization for reporting, parental consent where appropriate, and protections under applicable data- and child-protection laws.
Related Terms
educational AI tool
Software using automated decision-making for learning or assessment....
Systems of AI in education
Deployed AI systems within educational programs....
Education assisted by AI
AI uses that complement or enhance teaching and learning....
Personal identifying information
Data that identifies or could identify a minor....
Personal data of minors
Children's personal data, as defined under the GDPR, with added safeguards....