Title: An agent-based intelligent tutoring systems review

Authors: Ines Šarić-Grgić; Ani Grubišić; Slavomir Stankov; Maja Štula

Addresses: Faculty of Science, University of Split, Split, Croatia ' Faculty of Science, University of Split, Split, Croatia ' Split, Croatia ' Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia

Abstract: This paper presents the current state of research in the fields of intelligent tutoring systems and intelligent agents. The architecture of intelligent tutoring systems typically consists of four major components: the domain knowledge module, the learner diagnosis module, the tutoring module, and the communication module. An agent-based approach to intelligent tutoring systems research and development is applied as the set of agents that constitute the general architecture, and as animated characters - pedagogical agents. Therefore, the paper focuses on the components of intelligent tutoring systems that can be implemented as agents, as well as on functions that these intelligent agents can perform in each intelligent tutoring system component. Also, we present the recent endeavours in the intelligent tutoring systems community that moves from standalone systems focused on a single instructional domain to adaptive instructional systems that comprise learners, intelligent tutoring systems, and external (non-adaptive) environment.

Keywords: intelligent agents; intelligent tutoring systems; pedagogical agents; adaptive instructional systems.

DOI: 10.1504/IJLT.2019.101847

International Journal of Learning Technology, 2019 Vol.14 No.2, pp.125 - 140

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 23 Aug 2019 *

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