Computer science education | AI literacy
The 2026 Educators Pick Best of STEM Awards introduced a separate Best of AI program, with seven categories judged by educators. The categories included AI literacy, professional development, K-5 digital and AI literacy, middle- and high-school learning, K-8 coding, computer science, and K-12 enrichment.
The development reflects a change in the classroom question. Schools are no longer asking only whether students will encounter artificial intelligence someday. They are asking what students should understand about it now: how a system uses data, why a prediction can be wrong, how a person remains responsible for a decision, and how to use a tool without confusing an answer with evidence.
Teacher review is particularly important for these tools because AI features can make a product appear more capable than it is educationally. A useful classroom tool should give students opportunities to inspect, test, or question a system. It should also give teachers enough control to explain what the tool does and what information it uses.
The awards page identifies tools such as AI Foundations, AI Teaching Assistant, Mix and Move with AI, and Web Lab among the winners. The recognition is an award-program result, not a guarantee that each tool is appropriate for every age group or district. Schools still need to check privacy, accessibility, curriculum alignment, and teacher oversight.
For K-8 students, AI literacy can begin without complicated software. Students can classify examples, compare a human rule with a machine-generated pattern, and test what happens when the data changes. The central goal is understanding technology well enough to use it thoughtfully rather than treating it as magic.
Source: Educators Pick Best of STEM 2026 AI award winners

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