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  2. Social learning theory - Wikipedia

    en.wikipedia.org/wiki/Social_learning_theory

    Social learning theory is a theory of social behavior that proposes that new behaviors can be acquired by observing and imitating others. 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 reproduction or direct reinforcement. [1]

  3. Teaching method - Wikipedia

    en.wikipedia.org/wiki/Teaching_method

    A teaching method is a set of principles and methods used by teachers to enable student learning.These strategies are determined partly by the subject matter to be taught, partly by the relative expertise of the learners, and partly by constraints caused by the learning environment. [1]

  4. Social cognition - Wikipedia

    en.wikipedia.org/wiki/Social_cognition

    Social cognition is a topic within psychology that focuses on how people process, store, and apply information about other people and social situations. It focuses on the role that cognitive processes play in social interactions.

  5. Learning theory (education) - Wikipedia

    en.wikipedia.org/wiki/Learning_theory_(education)

    A classroom in Norway. Learning theory describes how students receive, process, and retain knowledge during learning.Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained.

  6. Learning styles - Wikipedia

    en.wikipedia.org/wiki/Learning_styles

    Learning styles refer to a range of theories that aim to account for differences in individuals' learning. [1] Although there is ample evidence that individuals express personal preferences on how they prefer to receive information, [2]: 108 few studies have found validity in using learning styles in education.

  7. Transfer learning - Wikipedia

    en.wikipedia.org/wiki/Transfer_learning

    Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.