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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.
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 ...
e. 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 ...
An intelligent tutoring system(ITS) is a computer systemthat 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 manner by using a variety of computing ...
University of Texas. Andrea L. Thomaz is a senior research scientist in the Department of Electrical and Computer Engineering at The University of Texas at Austin and Director of Socially Intelligent Machines Lab. She specializes in Human-Robot Interaction, Artificial Intelligence and Interactive Machine Learning.
Sidney L. Pressey. Sidney Leavitt Pressey ( Brooklyn, New York, December 28, 1888 – July 1, 1979) was professor of psychology at Ohio State University for many years. He is famous for having invented a teaching machine many years before the idea became popular.
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).
In the context of education theory, Havighurst explained, "A developmental task is a task which is learned at a specific point and which makes achievement of succeeding tasks possible. When the timing is right, the ability to learn a particular task will be possible. This is referred to as a 'teachable moment.'.