This course equips educators to teach statistics through Project-Based Learning (PBL) by connecting mathematical concepts to real-world sustainability challenges aligned with the UN Sustainable Development Goals (SDGs). Participants will design data-driven projects addressing local issues such as climate change, public health, and resource management, while exploring the role of statistics in Artificial Intelligence (AI) to build data literacy and ethical awareness.
The course emphasises culturally responsive pedagogy, collaboration with communities, and the integration of technology to foster inclusive, interdisciplinary learning. Teachers will gain practical skills in designing and implementing PBL activities, using local data sets, facilitating critical thinking, and assessing student learning. By the end of the course, participants will be prepared to lead impactful, community-centred projects that link mathematics, technology, and social responsibility.
Key Topics Include:
- Foundations of statistics and sustainability
- Designing SDG-aligned, data-driven projects
- Using tools for data collection, analysis, and visualisation
- Facilitating inquiry, critical thinking, and ethical discussions in statistics
- Exploring the role of statistics in Artificial Intelligence (AI)
This course is ideal for educators seeking to make mathematics relevant, engaging, and impactful by addressing real-world challenges through interdisciplinary and inclusive teaching practices.
- Teacher: Musa Saimon