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Blended learning or hybrid learning, also known as technology-mediated instruction, web-enhanced instruction, or mixed-mode instruction, is an approach to education that combines online educational materials and opportunities for interaction online with physical place-based classroom methods. Blended learning requires the physical presence of ...
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.
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.
Higher-order thinking, also known as higher order thinking skills ( HOTS ), [1] is a concept applied in relation to education reform and based on learning taxonomies (such as American psychologist Benjamin Bloom 's taxonomy ). The idea is that some types of learning require more cognitive processing than others, but also have more generalized ...
Double-loop learning. Double-loop learning entails the modification of goals or decision-making rules in the light of experience. The first loop uses the goals or decision-making rules, the second loop enables their modification, hence "double-loop". Double-loop learning recognises that the way a problem is defined and solved can be a source of ...
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]
Holistic education is a movement in education that seeks to engage all aspects of the learner, including mind, body, and spirit. Its philosophy, which is also identified as holistic learning theory, is based on the premise that each person finds identity, meaning, and purpose in life through connections to their local community, to the natural world, and to humanitarian values such as ...
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]