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Skinner's teaching machine, a mechanical device to control student progress in programmed instruction. Teaching machines were originally mechanical devices that presented educational materials and taught students. They were first invented by Sidney L. Pressey in the mid-1920s. [1] His machine originally administered multiple-choice questions.
A teachable moment, in education, is the time at which learning a particular topic or idea becomes possible or easiest. In education The ...
In machine learning and statistics, the learning rate is a tuning parameter in an optimization algorithm that determines the step size at each iteration while moving toward a minimum of a loss function. [ 1] Since it influences to what extent newly acquired information overrides old information, it metaphorically represents the speed at which a ...
Intelligent tutoring system. An intelligent tutoring system ( ITS) is a computer system that imitates human tutors and aims to provide immediate and customized instruction or feedback to learners, [ 1] usually without requiring intervention from a human teacher. [ 2] ITSs have the common goal of enabling learning in a meaningful and effective ...
API. An application programming interface ( API) is a way for two or more computer programs or components to communicate with each other. It is a type of software interface, offering a service to other pieces of software. [ 1] A document or standard that describes how to build or use such a connection or interface is called an API specification.
One of the first examples of a network model of semantic memory is the teachable language comprehender (TLC). [18] In this model, each node is a word, representing a concept (like bird). Within each node is stored a set of properties (like "can fly" or "has wings") as well as links to other nodes (like chicken).
Turing machines. A Turing machine is a mathematical model of computation describing an abstract machine [ 1] that manipulates symbols on a strip of tape according to a table of rules. [ 2] Despite the model's simplicity, it is capable of implementing any computer algorithm. [ 3]
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data and thus perform tasks without explicit instructions. [1] Recently, artificial neural networks have been able to surpass many previous approaches in ...