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  2. 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 ...

  3. Gerlach and Ely Instructional Design Model - Wikipedia

    en.wikipedia.org/wiki/Gerlach_and_Ely...

    The Gerlach and Ely model emphasizes the cycle nature of instructional design. [1] The authors wanted to design a model which explained each component of the teaching and learning process while at the same time examining the relationship between the media and instruction. The model consists of ten elements and was constructed for teachers who ...

  4. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is the subset of machine learning methods based on neural networks with representation learning.The adjective "deep" refers to the use of multiple layers in the network.

  5. Ensemble learning - Wikipedia

    en.wikipedia.org/wiki/Ensemble_learning

    Bayesian model combination (BMC) is an algorithmic correction to Bayesian model averaging (BMA). Instead of sampling each model in the ensemble individually, it samples from the space of possible ensembles (with model weights drawn randomly from a Dirichlet distribution having uniform parameters).

  6. Temporal difference learning - Wikipedia

    en.wikipedia.org/wiki/Temporal_difference_learning

    v. t. e. Temporal difference ( TD) learning refers to a class of model-free reinforcement learning methods which learn by bootstrapping from the current estimate of the value function. These methods sample from the environment, like Monte Carlo methods, and perform updates based on current estimates, like dynamic programming methods. [1]

  7. Mastery learning - Wikipedia

    en.wikipedia.org/wiki/Mastery_learning

    Mastery learning (or, as it was initially called, " learning for mastery "; also known as "mastery-based learning") is an instructional strategy and educational philosophy, first formally proposed by Benjamin Bloom in 1968. [1]

  8. 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.

  9. Learning styles - Wikipedia

    en.wikipedia.org/wiki/Learning_styles

    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.