Topic
Intelligent tutoring system
About: Intelligent tutoring system is a research topic. Over the lifetime, 3472 publications have been published within this topic receiving 58217 citations. The topic is also known as: ITS.
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09 Jul 2003
TL;DR: A proposed contribution of affect to student modeling is presented, and the progress made in the development of a facial expression analysis component for intelligent tutoring systems is reported on.
Abstract: Intelligent tutoring systems (ITS) provide individualized instruction. They offer many advantages over the traditional classroom scenario: they are always available, nonjudgmental and provide tailored feedback resulting in increased and effective learning. However, they are still not as effective as one-on-one human tutoring. The next generation of intelligent tutors is expected to be able to take into account the cognitive and emotional state of students. We present a proposed contribution of affect to student modeling, and reports on the progress made in the development of a facial expression analysis component for intelligent tutoring systems.
22 citations
TL;DR: This paper attempts to demonstrate how principles derived from the study of intelligent tutoring systems can be applied to the development of artificial intelligence-based computer-assisted psychotherapy.
22 citations
TL;DR: The architecture of intelligent tutoring system is based on wordnet based ontology with expert knowledge, which has been used for repository resource indexing, and which is a basic component of domain model.
22 citations
01 Jan 2010
TL;DR: This chapter reviews the past and ongoing investigations into conversational interaction during human tutoring and attempts to build intelligent tutoring systems (ITS) to simulate this interaction, and describes how these are being addressed in Guru.
Abstract: This chapter reviews our past and ongoing investigations into conversational interaction during human tutoring and our attempts to build intelligent tutoring systems (ITS) to simulate this interaction. We have previously modeled the strategies, actions, and dialogue of novice tutors in an ITS, called AutoTutor, with learning gains comparable to novice tutors. There is evidence, however, that expert human tutors may foster exceptional learning gains beyond those reported for some categories of human tutors. We have undertaken a rigorous, large scale study of expert human tutors and are using these data to create Guru, an expert ITS for high school biology. Based on our analyses, expert human tutoring has several distinctive features which differ from novice human tutoring. These distinctive features have implications for the development of an expert ITS, and we briefly describe how these are being addressed in Guru.
22 citations
23 Sep 1999
TL;DR: This paper shows how a multi-agent systems (MAS) approach may be used to build an interactive intelligent tutoring system (ITS) designed as a game.
Abstract: This paper shows how a multi-agent systems (MAS) approach may be used to build an interactive intelligent tutoring system (ITS) designed as a game. We model the ITS as a society of both reactive and cognitive agents that interact through a graphical interface. We present an experiment carried out in a school in order to test our hypothesis about the architecture's pedagogical potential, and we present the results obtained.
22 citations