This research-led framework for teaching about models in AI and data science, developed through a collaborative study, offers a new data paradigm approach to teaching and learning about AI and data science. It emphasizes knowledge-based systems design, utilizing rule-based approaches and explainable design principles. The framework highlights the distinction between rule-based and data-driven systems, showcasing the benefits of transparency and interpretability.
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