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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