This chapter clarified the need and processes for curriculum redesign for the Knowledge dimension.

Chapter Four addressed the need for continued learning and relevance of Knowledge in an age of AI. This chapter will delve into more specificity regarding the Knowledge Dimension.

If AI “knows everything, why learn anything?” is a dead-wrong question, as it was for the age of search engines on the internet. AI neither “knows” everything nor is it capable of acting on its own. Yet it is clear that Knowledge should be assessed for relevance: developing the right mix between Declarative (Essential Content), Procedural (Project-Based), Conceptual (Core Concepts), and Epistemic (Meta-layer) Knowledge and modernizing traditional disciplines accordingly. We also need to make time and space for important modern disciplines such as Technology and Engineering, Social Sciences, and Entrepreneurship, while embedding interdisciplinarity and cross-cutting themes.