How should schools teach AI? 3 models to consider

AI literacy encompasses conceptual understanding, responsible use, and critical judgment about artificial intelligence.
The placement of AI education within Canada’s provincial curricula varies due to differing models:
1. Dedicated subjects like computer studies or technological learning,
2. Embedded digital learning within existing subjects,
3. Transversal frameworks that integrate digital literacy across various subjects.
The effectiveness and depth of AI education depend on how these models are implemented, including teacher training, time allocation, and local resources.
Combining elements from different curricular models appears to be one promising path forward for delivering robust AI education.
Studies on different provincial approaches and frameworks can provide insights into effective AI education strategies, contributing to better preparations for future assessments like PISA 2029.