Fund low-stakes experimentation grants that give engineers safe places to test novel AI ideas with small groups of teachers and students¶

Strategy · All strategies
Evidence · no claims cited

Description¶

This strategy uses small grants to let organizations pause, explore, and test AI ideas without market pressure. The report states that "Engineers need to have access to low stakes, safe places to test and explore novel ideas and ask questions," enabling work with small groups of teachers and students to iterate or discard prototypes. The pilot cohort model was judged a success, with 28 organizations able to think strategically about how and why to leverage AI, and it created continuous opportunities for human input on potential model bias.

Design Implications¶

Context¶

Requirements¶

• Sufficient funding for organizations to pause and explore
• Access to small groups of teachers and/or students for testing and experimentation

Constraints¶

• At this stage, AI is often considered for optimization of existing processes rather than transformative tools

Target Learners¶

• K-12 students and teachers involved in pilot testing

Target Learning Goals¶

• Identifying where AI can genuinely transform teaching and learning while surfacing bias early

Related Strategies¶

• Playful Spaces

Examples¶

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Key Sources¶

• Noakes, S., Shell, A., Murillo, A., Van Nostrand, P., Ruiz, P., Cornick, S., and Karim, S. (2024, October). An Ethical and Equitable Vision of AI in Education: Learning Across 28 Exploratory Projects. Digital Promise. https://doi.org/10.51388/20.500.12265/232