Survey of Intelligent Tutoring Systems Up To the End of 2016

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Abstract
The main goals of Intelligent Tutoring Systems (ITS) are: providing highly developed instructional guidance on a one-to-one foundation that is improved than what is attained with traditional computer aided instruction and is analogous to that of a decent human tutor; and developing and testing models of intelligent processes associated with instruction. ITS is a subfield of artificial intelligence. ITS consists of four interacting components: the student model which embodies the student's present knowledge state, the pedagogical module which comprises appropriate instructional measures which are depending on the content of the student model, the knowledge model which contains the domain knowledge, and the user interface model which permits an effective dialog among ITS and the user. Usually, the knowledge model is the central part in the instructional process but there is a diversity of approaches that also put the stress on the other components. In this paper we survey the existing intelligent tutoring system found in the literature prior to publishing it. There might be other intelligent tutoring systems that we have missed; but when found, they will be added to the next release of the intelligent tutoring systems survey.
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Archival date: 2019-04-22
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2019-04-22

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