Our training approach is human‑centred and outcomes‑driven. We focus on what learners can apply confidently.
Students will learn to identify and address ethical, bias, and sustainability issues in AI education. This includes critically analyzing AI systems, promoting fairness, transparency, and accountability, and advocating for the ethical use of AI in educational settings.
Students will learn to integrate AI technologies into the educational curriculum by aligning AI-based resources and activities with learning objectives, creating engaging and interactive experiences, fostering computational thinking and problem-solving skills through AI.
Participants will gain data literacy and analysis abilities needed to use AI in education. This involves AI tools to collect, analyse and understand educational data, extract valuable insights to influence decision-making, and tailor learning experiences depending on student performance and needs.
Students will receive practical experience with several AI tools and platforms, which includes administrative operations, and assessment and feedback. This practical experience will help in using AI to solve educational problems.
Teach AI concepts and applications through engaging lessons and demonstrations.
Develop tailored AI training programs and provide personalized coaching.
Design and implement AI-enhanced curricula and integrate innovative technologies.
Create AI-driven educational content such as simulations and virtual learning modules.
70%
50 multiple-choice/multiple-response questions
| Foundations of Artificial Intelligence (AI) in Education | 10% |
| AI in Classroom Teaching and Learning | 15% |
| Ethical, Bias, and Sustainability Issues in AI | 20% |
| AI and Curriculum Integration | 15% |
| AI for Administrative Efficiency | 10% |
| Data Literacy and AI | 15% |
| AI-Enhanced Assessment and Feedback | 10% |
| AI Tools and Hands-on Experience | 5% |
ChatGPT
Eduaide
GradeScope
Classtime