Transdisciplinary AI Education: The Confluence of Curricular and Community Needs in the Instruction of Artificial Intelligence
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ID: 282472
2023
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Abstract
The integration of artificial intelligence (AI) into education has the
potential to transform the way we learn and teach. In this paper, we examine
the current state of AI in education and explore the potential benefits and
challenges of incorporating this technology into the classroom. The approaches
currently available for AI education often present students with experiences
only focusing on discrete computer science concepts agnostic to a larger
curriculum. However, teaching AI must not be siloed or interdisciplinary.
Rather, AI instruction ought to be transdisciplinary, including connections to
the broad curriculum and community in which students are learning. This paper
delves into the AI program currently in development for Neom Community School
and the larger Education, Research, and Innovation Sector in Neom, Saudi Arabia
s new megacity under development. In this program, AI is both taught as a
subject and to learn other subjects within the curriculum through the school
systems International Baccalaureate (IB) approach, which deploys learning
through Units of Inquiry. This approach to education connects subjects across a
curriculum under one major guiding question at a time. The proposed method
offers a meaningful approach to introducing AI to students throughout these
Units of Inquiry, as it shifts AI from a subject that students like or not like
to a subject that is taught throughout the curriculum.
| Reference Key |
wilson2023transdisciplinary
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|---|---|
| Authors | Roozbeh Aliabadi; Aditi Singh; Eryka Wilson |
| Journal | arXiv |
| Year | 2023 |
| DOI |
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