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  2. Supervised learning - Wikipedia

    en.wikipedia.org/wiki/Supervised_learning

    Supervised learning. Supervised learning ( SL) is a paradigm in machine learning where input objects (for example, a vector of predictor variables) and a desired output value (also known as human-labeled supervisory signal) train a model. The training data is processed, building a function that maps new data on expected output values. [1]

  3. Problem-based learning - Wikipedia

    en.wikipedia.org/wiki/Problem-based_learning

    Problem-based learning ( PBL) is a teaching method in which students learn about a subject through the experience of solving an open-ended problem found in trigger material. The PBL process does not focus on problem solving with a defined solution, but it allows for the development of other desirable skills and attributes.

  4. Mastery learning - Wikipedia

    en.wikipedia.org/wiki/Mastery_learning

    Mastery-based learning methods emphasize that instruction should be tailored to the individual time needed for each student to master the same content. This is very much in contrast with classic models of teaching that focus on varying student abilities and allocation of equal time and instructions irrespective of the students' unique needs.

  5. Learning styles - Wikipedia

    en.wikipedia.org/wiki/Learning_styles

    This model posits that an individual's perceptual abilities are the foundation of his or her specific learning strengths, or learning styles. In this model, there are two perceptual qualities: concrete and abstract, and two ordering abilities: random and sequential.

  6. Adaptive learning - Wikipedia

    en.wikipedia.org/wiki/Adaptive_learning

    Adaptive learning systems have traditionally been divided into separate components or 'models'. While different model groups have been presented, most systems include some or all of the following models (occasionally with different names): [6] [7]

  7. Bloom's taxonomy - Wikipedia

    en.wikipedia.org/wiki/Bloom's_taxonomy

    Bloom's taxonomy is a set of three hierarchical models used for classification of educational learning objectives into levels of complexity and specificity. The three lists cover the learning objectives in cognitive, affective and psychomotor domains.

  8. Contextual learning - Wikipedia

    en.wikipedia.org/wiki/Contextual_learning

    Contextual learning is based on a constructivist theory of teaching and learning. [1] [page needed] Learning takes place when teachers are able to present information in such a way that students are able to construct meaning based on their own experiences. Contextual learning experiences include internships, service learning and study abroad ...

  9. Social learning theory - Wikipedia

    en.wikipedia.org/wiki/Social_learning_theory

    A social behavior theory which proposes that new behaviors can be acquired by observing and imitating others. Albert Bandura [1] is known for studying this theory. It states that learning is a cognitive process that takes place in a social context and can occur purely through observation or direct instruction, even in the absence of motor ...