Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework
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.
Keywords
Cite
@article{arxiv.2009.10228,
title = {Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework},
author = {Xiaofei Zhou and Jessica Van Brummelen and Phoebe Lin},
journal= {arXiv preprint arXiv:2009.10228},
year = {2020}
}
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16 pages