Guidelines for the Use of Generative Artificial Intelligence by Primary and Secondary School Students (2025 Edition)

The Guidelines for the Use of Generative Artificial Intelligence by Primary and Secondary School Students (2025 Edition), officially issued by the Basic Education Teaching Steering Committee of the Ministry of Education in May 2025, defines the boundaries for the use of generative AI tools based on the cognitive levels of students at different educational stages. It ensures equitable access to technological tools across regions and individuals, including barrier-free support for students with physical or cognitive disabilities.

The Guidelines establish five core principles:

1. Educational Orientation – Strengthening competency-based development

2. Equity in Education – Respecting individual student differences

3. Value Guidance – Ensuring technology is used for good

4. Needs-Driven Implementation – Promoting steady and progressive adoption

5. Risk Awareness – Guaranteeing safety and controllability

I. Key Highlights

Three Major Application Dimensions

1. Student Development

• Personalized Learning: AI learning companions generate diagnostic reports

• Interdisciplinary Inquiry: Virtual labs support cross-subject research (e.g., climate change)

• Mental Health Support: AI emotional counseling tools to alleviate social anxiety

• Special Education: Tactile feedback for visually impaired students / Sign language animation for hearing-impaired students

2. Teacher Development

• Lesson Planning: AI-assisted generation of differentiated teaching plans

• Classroom Innovation: AR/VR for dynamic teaching strategy adjustments

• Academic Assessment: AI grading systems generating learning analytics

• Collaborative Evaluation: Multi-agent systems for project reviews

3. Educational Governance

• School Management: AI-generated cross-departmental collaboration plans

• Resource Allocation: Tailored digital lesson plans for remote regions

• Decision Support: AI simulations for policy impact analysis

Stage-Specific Implementation Strategies

• Primary School: Interest cultivation + supervised use (open-ended functions prohibited)

• Middle School: Critical thinking + fact verification (cross-checking AI outputs)

• High School: Principle exploration + ethical evaluation (assessing societal impact)

II. Key Teaching Practices

1. Human-AI Collaborative Teaching

Teachers transition from “knowledge transmitters” to “learning designers,” e.g.:

• Enhancing AI-generated lesson plans with contextualized elements

• Adjusting teaching strategies based on AI-driven learning analytics

• Designing interdisciplinary AI projects (e.g., “Campus Carbon Neutrality Plan”)

2. Data Security & Ethics

• Sensitive data filtering (e.g., family background, health records)

• “AI Ethics Workshops” to analyze cultural biases in generated content

• Cultivating responsible digital citizenship

3. Stage-Appropriate Strategies

• Primary School: AI-powered dynamic picture books / audiobooks

• Middle School: Fact-checking AI-generated debate arguments

• High School: Ethical evaluation of machine learning models

4. Critical Thinking Development

• Analyzing logical flaws in AI-generated texts

• Debating “Can AI Replace Human Creativity?”

• Reflecting on cultural biases in AI-assisted English writing revisions

III. Case Studies

1. Academic Support

A high school uses an AI learning companion to:

• Generate personalized “Function Graph Analysis” micro-courses

• Provide targeted exercises based on error diagnostics

• Free up teacher time for in-depth tutoring

2. Mental Health Support

A middle school deploys an AI emotional support tool:

• Anonymous venting channel + crisis alert system

• Complements professional counseling services

• Maintains human-centered emotional care

3. Teaching Innovation

A primary school Chinese class uses AI to:

• Auto-generate “Father’s Back” recitation audio + imagery maps

• Supplement with family interview assignments

• Strictly review AI-generated emotional guidance

4. Educational Equity

A rural bilingual education program leverages:

• AI-generated ethnic language lesson plans

• Digital teachers to address staff shortages

• Local cultural adaptation checks

IV. Stage-Specific Implementation Rules

Primary School

• Restrictions:

  • No independent use of generative functions

  • Classroom-limited educational AI only

• Examples:

  • Pinyin animation for literacy (Chinese)

  • Dynamic geometry visualization (Math)

Middle School

• Skill Focus:

  • Verifying AI-generated information

  • Cross-referencing multiple sources

• Examples:

  • English “AI Debate Fact-Check”

  • Virtual chemistry experiment validation

High School

• Advanced Learning:

  • Bias analysis in AI models

  • Societal impact assessments

• Examples:

  • Building simple image classifiers

  • Urban traffic optimization simulations

V. Prohibited Practices

For Students

• Submitting AI-generated content as original work
  Overusing AI in creative tasks (writing/design)
  Entering personal/private data
  Unauthorized use of copyrighted material

For Teachers

Replacing human interaction with AI
Using unvetted AI evaluations
Inputting confidential/sensitive data

Issuing Authority: Basic Education Teaching Steering Committee, Ministry of Education
Full Text: https://docs.qq.com/doc/DSENKV3VhemhwZHFi