mlsanityData to 13 Oct 2026

Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework

arXiv 2009.10228 ↗First posted 22 Sep 2020cs.CY cs.AIcited by 7

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Abstract (arXiv)

Artificial intelligence (AI) literacy is a rapidly growing research area and a critical addition to K-12 education. However, support for designing tools and curriculum to teach K-12 AI literacy is still limited. There is a need for additional interdisciplinary human-computer interaction and education research investigating (1) how general AI literacy is currently implemented in learning experiences and (2) what additional guidelines are required to teach AI literacy in specifically K-12 learning contexts. In this paper, we analyze a collection of K-12 AI and education literature to show how core competencies of AI literacy are applied successfully and organize them into an educator-friendly chart to enable educators to efficiently find appropriate resources for their classrooms. We also identify future opportunities and K-12 specific design guidelines, which we synthesized into a conceptual framework to support researchers, designers, and educators in creating K-12 AI learning experiences.

Key facts. Cited by 7 papers in the map (data through 13 Oct 2026). First posted on arXiv 22 Sep 2020.

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Citing papers per year: 2021: 1; 2022: 0; 2023: 4; 2024: 2.

7 papers.