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guided learning, unsupervised learning, and reinforcement learning are the three main paradigms in machine learning.

supervised learning, unsupervised learning, and semi-supervised learning are the three main machine learning paradigms used by today's engineers. The first, supervised learning, uses data that has been labelled.

The Learning Paradigm (as opposed to the Instruction Paradigm) emphasises students' active participation in learning as well as the purpose of that learning, both of which can be powerful motivators for students. The issue for educators is to give students some control over their learning.

The scientific method, for example, is a paradigm in and of itself (though which "science" views the world: a traditional Western, empirical, quantitative approach to studying things). The theory of evolution is another example of a paradigm.

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