Redefining educational objectives in the age of artificial intelligence: The SCALE taxonomy
In the age of artificial intelligence (AI), the education landscape is undergoing radical transformation, demanding new frameworks to prepare young learners for a future defined by technological innovation and complex problem-solving. This article introduces the SCALE taxonomy of 21 st -century authentic intelligence , covering Scientific Literacy, Computational Thinking, AI Literacy, Learning to Learn (Metacognition), and Engineering and Design Thinking. SCALE is a new framework of educational objectives designed to align human learning with the demands of the AI age. By centering on “Authentic Learning Through Creating,” this article also outlines how SCALE can empower AI natives to engage in meaningful experiences in big-group activities, learning centers, redesigned classroom environments, and assessment. The SCALE taxonomy not only provides a shared vision for educational innovation but also serves as a practical tool for curriculum design and assessment, as well as a common language among educators.
Authors
- Weipeng Yang (ORCID: https://orcid.org/0000-0002-8057-2863)
Institutions
- Education University of Hong Kong (HK)
Publication Details
- Journal
- TAO.
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1016/j.tao.2025.100018
- Primary Topic
- Teaching and Learning Programming
- Type
- article
- Field-Weighted Citation Impact
- 0.00