Envisioning AI for K-12: What Should Every Child Know about AI?

By D. Touretzky, Christina Gardner-Mccune, Fred G. Martin, Deborah W. Seehorn. AAAI Conference on Artificial Intelligence, 2019

752 citations recorded by the source corpus.

The ubiquity of AI in society means the time is ripe to consider what educated 21st century digital citizens should know about this subject. In May 2018, the Association for the Advancement of Artificial Intelligence (AAAI) and the Computer Science Teachers Association (CSTA) formed a joint working group to develop national guidelines for teaching AI to K-12 students. Inspired by CSTA's national standards for K-12 computing education, the AI for K-12 guidelines will define what students in each grade band should know about artificial intelligence, machine learning, and robotics. The AI for K-12 working group is also creating an online resource directory where teachers can find AI- related videos, demos, software, and activity descriptions they can incorporate into their lesson plans. This blue sky talk invites the AI research community to reflect on the big ideas in AI that every K-12 student should know, and how we should communicate with the public about advances in AI and their future impact on society. It is a call to action for more AI researchers to become AI educators, creating resources that help teachers and students understand our work.

Subfields: Computer Science Applications

View Paper: https://www.semanticscholar.org/paper/ceb31a1f6901a7aa5995af472abaac1035f3a154

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Citations in the corpus

Developing Middle School Students' AI Literacy (2021, background): “The current interest in and call for AI activities in K-12 education echoes a more general demand for computational and scientific literacy among young people [25].”
A review of AI teaching and learning from 2000 to 2020 (2022, background): “Countries across the globe are developing strategic initiatives and educational standards to equip students with the skills and knowledge needed to live and work in today’s digital world (Touretzky et al., 2019).”
Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world (2023, background): “The Five Big Ideas in AI serve as a K–12 education framework to articulate what all K-12 should learn about AI in terms of four foundational concepts (perceptions, representations, reasoning, learning, natural interaction and societal impact) (Touretzky et al., 2019a, 2019b).”
Integrating Ethics and Career Futures with Technical Learning to Promote AI Literacy for Middle School Students: An Exploratory Study (2022, background): “…of teaching AI focus mainly on the technical aspects of AI learning and few programs emphasize the ethical and societal implications of AI, one of the “Five Big Ideas of AI” as identified by the AI4K12 initiative (Touretzky et al., 2019) that every K-12 student should know and be able to do in AI.”
What is AI Literacy? Competencies and Design Considerations (2020, background): “Learning about sensors and their capabilities (one of the “big ideas” of AI [130]) can also aid in understanding how AI devices gather data and interface with the world (Competency 15 (Sensors)).”
The impact of artificial intelligence on learner–instructor interaction in online learning (2021, background): “For example, recent studies have published guides on how to incorporate AI into K-12 curricula (Touretzky et al., 2019), and researchers are exploring how to engage young learners in creative programming activities involving AI (Zimmermann-Niefield et al., 2019).”