REVIEW 1 cited by
Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
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.
Forward citations
Cited by 1 Pith paper
-
Exploring the Usage of Generative AI for Group Project-Based Offline Art Courses in Elementary Schools
Across eight class sessions with 132 students, the AskArt interface helped groups get background information, inspiration, and guidance, and students using it reported higher overall satisfaction than a no-tool baseline.
Discussion (0). Continue with ORCID to comment.