Designing AI Learning Experiences for K-12: Emerging Works, Future
Opportunities and a Design Framework
- URL: http://arxiv.org/abs/2009.10228v1
- Date: Tue, 22 Sep 2020 00:08:04 GMT
- Title: Designing AI Learning Experiences for K-12: Emerging Works, Future
Opportunities and a Design Framework
- Authors: Xiaofei Zhou and Jessica Van Brummelen and Phoebe Lin
- Abstract summary: We analyze a collection of K-12 AI and education literature to show how core competencies of AI literacy are applied successfully.
We synthesized into a conceptual framework to support researchers, designers, and educators in creating K-12 AI learning experiences.
- Score: 18.512494098690144
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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.
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