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Abstract-concept learning is seeing the comparison of the stimuli based on a rule (e.g., identity, difference, oddity, greater than, addition, subtraction) and when it is a novel stimulus. [9] With abstract-concept learning have three criteria’s to rule out any alternative explanations to define the novelty of the stimuli.
The Felder Silverman Learning Style Model (FSLSM) is a type of learning styles based on a two-step process, where the individual first receives the information through an internal or external mean and then processes it. [32] Felder and Silverman discovered five areas that affected learning: [33] Active/Reflective; Visual/Verbal; Sensing/Intuition
In statistics there can be models of mental events as well as models of physical events. For example, a statistical model of customer behavior is a model that is conceptual (because behavior is physical), but a statistical model of customer satisfaction is a model of a concept (because satisfaction is a mental not a physical event).
Theoretical results in machine learning mainly deal with a type of inductive learning called supervised learning. In supervised learning, an algorithm is given samples that are labeled in some useful way. For example, the samples might be descriptions of mushrooms, and the labels could be whether or not the mushrooms are edible.
Other learning theories have also been developed for more specific purposes. For example, andragogy is the art and science to help adults learn. Connectivism is a recent theory of networked learning, which focuses on learning as making connections. The Learning as a Network (LaaN) theory builds upon connectivism, complexity theory, and double ...
Exemplar Theory is often contrasted with prototype theory, which proposes another method of categorization.Recently the adoption of both prototypes and exemplars based representations and categorization has been implemented in a cognitively inspired artificial system called DUAL PECCS (Dual Prototypes and Exemplars based Conceptual Categorization System) that, due to this integration, has ...
Dual Factor approach: Dual process learning model, combines the approaches described above. This approach proposes that a person will rely on concrete knowledge when they can. When they cannot rely on concrete knowledge (for example on a transfer of learning task), the person will use abstract knowledge of the rules. [4] [15] [16] [17]
The result of implicit learning is implicit knowledge in the form of abstract (but possibly instantiated) representations rather than verbatim or aggregate representations, [4] and scholars have drawn similarities between implicit learning and implicit memory. Examples from daily life, like learning how to ride a bicycle or how to swim, are ...