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  2. Programmed learning - Wikipedia

    en.wikipedia.org/wiki/Programmed_learning

    Programmed learning (or programmed instruction) is a research-based system which helps learners work successfully. The method is guided by research done by a variety of applied psychologists and educators. [1] The learning material is in a kind of textbook or teaching machine or computer. The medium presents the material in a logical and tested ...

  3. Federated learning - Wikipedia

    en.wikipedia.org/wiki/Federated_learning

    Federated learning (also known as collaborative learning) is a sub-field of machine learning focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1] This stands in contrast to machine learning settings in which data is centrally stored ...

  4. Q-learning - Wikipedia

    en.wikipedia.org/wiki/Q-learning

    Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the environment (hence "model-free"), and it can handle problems with stochastic transitions and rewards without requiring adaptations. [1]

  5. Reading - Wikipedia

    en.wikipedia.org/wiki/Reading

    Reading is the process of taking in the sense or meaning of letters, symbols, etc., especially by sight or touch.. For educators and researchers, reading is a multifaceted process involving such areas as word recognition, orthography (spelling), alphabetics, phonics, phonemic awareness, vocabulary, comprehension, fluency, and motivation.

  6. Design-based learning - Wikipedia

    en.wikipedia.org/wiki/Design-based_learning

    Design-based learning. Design-based learning ( DBL ), also known as design-based instruction, is an inquiry-based form of learning, or pedagogy, that is based on integration of design thinking and the design process into the classroom at the K-12 and post-secondary levels. [1] [2] Design-based learning environments can be found across many ...

  7. Adaptive resonance theory - Wikipedia

    en.wikipedia.org/wiki/Adaptive_resonance_theory

    Adaptive resonance theory. Adaptive resonance theory ( ART) is a theory developed by Stephen Grossberg and Gail Carpenter on aspects of how the brain processes information. It describes a number of artificial neural network models which use supervised and unsupervised learning methods, and address problems such as pattern recognition and ...

  8. Debriefing - Wikipedia

    en.wikipedia.org/wiki/Debriefing

    Debriefing. Debriefing is a report of a mission or project or the information so obtained. It is a structured process following an exercise or event that reviews the actions taken. [1] As a technical term, it implies a specific and active intervention process that has developed with more formal meanings such as operational debriefing.

  9. Statistical learning theory - Wikipedia

    en.wikipedia.org/wiki/Statistical_learning_theory

    Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. [1] [2] [3] Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data. Statistical learning theory has led to successful applications in fields such as ...