Kazakhstan Sets First National AI Standards for Education, 2025-2029

Kazakhstan Sets National AI Standards for Education (2025-2029)

Kazakhstan has approved a national framework for integrating artificial intelligence into education across schools, colleges, and vocational institutions. The joint order, signed by Minister of Education Gani Beisembayev and Minister of Digital Development, Innovation and Aerospace Industry Zhaslan Madiyev, sets clear standards for ethics, data protection, legal compliance, and academic integrity.

Developed on the instructions of President Kassym-Jomart Tokayev, the framework signals a decisive step in modernizing teaching and learning while keeping human decision-making at the center. As Beisembayev stressed, AI supports teachers-the final call in the classroom stays with people.

What the Framework Covers

• Ethics and legal regulation: Unified guidance on safe, fair, and compliant AI use.
• Personal data protection: Guardrails for student privacy and secure data handling.
• Academic integrity: Consistent rules for AI use in assignments, assessment, and research.
• Curriculum integration: AI-related topics in Digital Literacy and Informatics, plus digital textbooks.
• AI literacy for learners: Practical competencies for understanding and building with AI.
• Project-based learning: Real problems, applied tools, measurable outcomes.
• Teacher development: A three-level model-acquire → deepen → create.
• Safeguards: Protection of children's rights and respect for teacher authority.

Governance and Accountability

The concept includes an implementation mechanism, monitoring system, and a roadmap to keep progress visible and measurable. Schools and colleges will operate under unified rules on AI ethics and integrity, reducing ambiguity in classrooms and examinations.

Madiyev framed the move within Kazakhstan's broader digital transformation strategy: students will learn to use digital tools and become their creators-while preserving national values and academic integrity.

Timeline and Immediate Curriculum Moves

• 2025-2026 academic year: AI elements embedded into Digital Literacy and Informatics.
• Student programs: Launch of online courses such as "Day of AI."
• Teacher upskilling: Professional development pathways aligned to the acquire → deepen → create model.

Why This Matters for Education, IT, and Development Leaders

• Compliance first: A national baseline reduces risk and streamlines audits.
• Skills pipeline: Graduates build relevant AI skills for industry and public sector demand.
• Procurement clarity: Standards inform vendor selection, contracts, and data-processing terms.
• Assessment integrity: Clear AI usage rules protect grades, credentials, and trust.
• Infrastructure focus: Prioritize bandwidth, device access, and secure identity systems.

Action Plan for Schools, Colleges, and TVET Leaders

• Form an AI steering group (education lead, IT lead, legal/DPO, teacher reps, student voice).
• Update acceptable-use, assessment, and data-protection policies to reflect AI scenarios.
• Map data flows (collection, storage, model access, retention). Enforce consent and minimization.
• Set tool-selection criteria: security, bias documentation, offline options, teacher controls.
• Design PD by level: acquire (basics), deepen (classroom use), create (projects, custom workflows).
• Pilot project-based units with clear rubrics, AI usage disclosures, and human review checkpoints.
• Deploy academic integrity measures: disclosure statements, version histories, oral defenses where needed.
• Track KPIs quarterly: teacher adoption, student outcomes, integrity incidents, support tickets.
• Communicate with parents and students: what AI is used, why, and how privacy is protected.

Safeguards for Students and Teachers

• Privacy by design: De-identify student data, use role-based access, and log model interactions.
• Children's rights: Age-appropriate features, content filters, and opt-outs where required.
• Teacher authority: Human override on feedback, grading, and intervention decisions.
• Bias and safety checks: Review model outputs in sensitive subjects; maintain appeal pathways.
• Resilience: Offline/low-bandwidth plans and clear fallback workflows for outages.

Alignment with Global Guidance

Kazakhstan's approach builds on international recommendations. For reference, see:
UNESCO's guidance on AI in education and OECD resources on AI and education.

Preparing Your Teams

Start with baseline literacy across staff, then move to classroom use-cases, and finally to creation: prompts, data workflows, and responsible automation. Pair PD with classroom pilots so learning translates into observable student outcomes.

If you are setting up role-based learning paths for teachers, curriculum leads, or IT admins, explore curated options by role here:
Complete AI Training - Courses by Job

Bottom Line

The 2025-2029 framework gives education leaders a clear path: ethical standards, data safeguards, teacher-first oversight, and practical integration across subjects. Move early on policy, PD, and pilots-and make your monitoring system the backbone of continuous improvement.