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Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments

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arxiv 1812.09628 v1 pith:C2ICIGFS submitted 2018-12-23 cs.HC cs.CY

classification cs.HCcs.CY
keywords systemsintelligentitsstutoringalongcomputerfieldprovides
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This paper provides interested beginners with an updated and detailed introduction to the field of Intelligent Tutoring Systems (ITS). ITSs are computer programs that use artificial intelligence techniques to enhance and personalize automation in teaching. This paper is a literature review that provides the following: First, a review of the history of ITS along with a discussion on the interface between human learning and computer tutors and how effective ITSs are in contemporary education. Second, the traditional architectural components of an ITS and their functions are discussed along with approaches taken by various ITSs. Finally, recent innovative ideas in ITS systems are presented. This paper concludes with some of the author's views regarding future work in the field of intelligent tutoring systems.

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Cited by 1 Pith paper

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  1. LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System

    cs.AI 2025-01 conditional novelty 5.0 of 10

    An LLM-powered multi-agent framework, GenMentor, maps learner goals to skills, schedules adaptive paths, and generates personalized content, outperforming prompting and RAG baselines in its reported evaluations.

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