AI Integration in School Education

Module 1: Foundations of AI in Education

• Understanding AI, automation, and generative tools
• Opportunities and limitations of AI in schools
• Large language models and basic prompt techniques
• Trends shaping the future of EdTech

Module 2: AI in Administrative Operations

• AI for scheduling, admissions, and attendance
• Budget forecasting and enrollment predictions
• Chatbots and workflow automation
• Case study: School workflow optimization using AI tools

Module 3: AI-Driven Decision Making & Prompt Engineering

• Dashboards and analytics for academic/behavioral monitoring
• Data governance and consent frameworks
• Early warning systems for student risk
• AI prompting strategies for content generation

Module 4: AI in Teaching and Learning Support

• Adaptive learning technologies and automation
• Teacher support: grading, feedback, planning with AI
• Student personalization and custom learning pathways
• Role-playing simulations and gamified learning content

Module 5: Leading AI Integration and Change Management

• Building a readiness culture for AI
• Upskilling staff in AI tools and practices
• Addressing resistance and bias
• Ethical considerations and assessment redesign

Module 6: Implementation, Governance, and Policy Development

• Drafting AI strategy aligned to school goals
• Governance models and ethical oversight
• EdTech vendor partnerships and procurement strategy
• Monitoring success metrics and reporting frameworks

Module 7: Tools, Resources, and Long-Term Planning

• Exploring top AI tools for schools
• Creating AI-integration roadmaps
• Templates, checklists, and transformation toolkits
• Post-training leadership reflection journal and peer feedback