Document Type

Conference Paper

Publication Details

https://doi.org/10.1145/3701268.3701273

Abstract

Artificial Intelligence (AI) is becoming a common topic within thecomputing K-12 curricula worldwide. While much of the focusof research is on the use of Generative AI in and for education,AI as a core subject area is still gaining popularity, with much ofthis research focusing on content and tools that effectively support the teaching of AI. However, as we grow as a field, there isa need currently unmet to provide foundations (in the form of ablock model as there exists for programming) to allow researchersto build strong pedagogies and methodologies from, and even abase to design activities and content. Compounding this, as ethicsand its relationship to AI in the K-12 classroom grows stronger,there is a further need to provide scaffolding to educators and researchers not only on traditional AI concepts, but also on how theylink with ethical knowledge, skills and dispositions. In this paper,the Human Centered Artificial Intelligence (HCAI) Block Model isdeveloped and introduced. This is a competence-based model toguide effective teaching and learning of Human Centered ArtificialIntelligence, as well as research in the K-12 space. The HCAI Blockmodel's foundation is developed/adapted from the programmingBlock model and has been adapted and developed using two lenses.The first was through the data science lens through interactionwith Computational Thinking 2.0 and competency-based learning.The second lens was through a human-centred lens. The outcomewas a ground-up K-12 model where traditional and technical AIconcepts have been developed from the start, integrating ethicalconsiderations and human-centred approaches.

DOI

10.1145/3701268.3701273

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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