Teach AI through holistic, active, collaborative pedagogical strategies starting from real problem solving¶

Strategy · All strategies
Evidence · no claims cited

Description¶

For meaningful learning of AI to take place, the review states AI teaching must use holistic, active, and collaborative pedagogical strategies in which real problem solving is the starting point of the learning process. This aligns with its broader conclusion that AI education can adopt a global, practical, and active approach in which project-based and contextualized work plays an important role, and with learning experiences built on constructionist ideas of building and creating intelligent devices.

Design Implications¶

Context¶

Requirements¶

• Real problem solving as the starting point of the learning process
• Contextualization of the proposed curriculum

Constraints¶

Target Learners¶

• K-12 students

Target Learning Goals¶

• Understanding how AI works
• Applied problem-solving skills with AI

Related Strategies¶

• Learner-Centric Approach
• Solve Before You Teach
• Support collaborative learning activities through sharing, problem-solving scaffolding, social regulation, and immediate feedback
• Team-Building Through Problem-Based Learning

Examples¶

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Key Sources¶

• Casal-Otero, L., Catala, A., Fernández-Morante, C., Taboada, M., Cebreiro, B., & Barro, S. (2023). AI literacy in K-12: a systematic literature review. International Journal of STEM Education. https://doi.org/10.1186/s40594-023-00418-7