How to use this course
Test your learning
What is AI and Machine Learning?
Basic concepts and terminology
AI applications in education
The Potential of AI in High Schools
Enhancing teaching and learning
Improving administrative tasks
Personalizing education
AI for Diverse Learners
Catering to different learning styles
Supporting students with learning difficulties (LSEN)
Addressing cultural and linguistic diversity
Identifying and Mitigating AI Bias
Recognizing biases in AI tools
Strategies for equitable AI implementation
The Impact of AI on Assessment
Automated grading and feedback
Adaptive assessments
Authentic assessment in the AI age
Maintaining Academic Integrity
Preventing AI misuse in assessments
Developing AI-aware assessment policies
Teaching students about responsible AI use
AI Ethics in Education
Bias and fairness
Privacy and data protection (incl. POPI)
Accountability and transparency
Legal Framework for AI in Schools
Copyright and intellectual property
Student data privacy regulations
Liability and risk management
AI and Student Data
Data collection and usage
Data security and protection
Data-driven decision making
Leveraging AI for Student Progress Tracking
Personalized learning paths
Early intervention strategies
Reporting to parents and stakeholders
