Course curriculum

    1. How to use this course

    2. Test your learning

    1. What is AI and Machine Learning?

    2. Basic concepts and terminology

    3. AI applications in education

    4. The Potential of AI in High Schools

    5. Enhancing teaching and learning

    6. Improving administrative tasks

    7. Personalizing education

    1. AI for Diverse Learners

    2. Catering to different learning styles

    3. Supporting students with learning difficulties (LSEN)

    4. Addressing cultural and linguistic diversity

    5. Identifying and Mitigating AI Bias

    6. Recognizing biases in AI tools

    7. Strategies for equitable AI implementation

    1. The Impact of AI on Assessment

    2. Automated grading and feedback

    3. Adaptive assessments

    4. Authentic assessment in the AI age

    5. Maintaining Academic Integrity

    6. Preventing AI misuse in assessments

    7. Developing AI-aware assessment policies

    8. Teaching students about responsible AI use

    1. AI Ethics in Education

    2. Bias and fairness

    3. Privacy and data protection (incl. POPI)

    4. Accountability and transparency

    5. Legal Framework for AI in Schools

    6. Copyright and intellectual property

    7. Student data privacy regulations

    8. Liability and risk management

    1. AI and Student Data

    2. Data collection and usage

    3. Data security and protection

    4. Data-driven decision making

    5. Leveraging AI for Student Progress Tracking

    6. Personalized learning paths

    7. Early intervention strategies

    8. Reporting to parents and stakeholders

About this course

  • $30.00
  • 60 lessons