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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02 Jun 2002
TL;DR: The architecture and functionality of a Web-based Intelligent Tutoring System (ITS), which uses neurules for knowledge representation, is presented, which focuses on teaching Internet technologies.
Abstract: In this paper, we present the architecture and describe the functionality of a Web-based Intelligent Tutoring System (ITS), which uses neurules for knowledge representation. Neurules are a type of hybrid rules integrating symbolic rules with neurocomputing. The use of neurules as the knowledge representation basis of the ITS results in a number of advantages. Part of the functionality of the ITS is controlled by a neurule-based inference engine. Apart from that, the system consists of four other components: the domain knowledge, containing the structure of the domain and the educational content, the user modeling component, which records information concerning the user, the pedagogical model, which encompasses knowledge regarding the various pedagogical decisions, and the supervisor unit that controls the functionality of the whole system. The system focuses on teaching Internet technologies.
44 citations
Patent•
05 Oct 2010
TL;DR: In this article, an Intelligent Tutoring System (ITS) is provided that is able to identify and respond adaptively to the learner's or student's affective states (i.e., frustration, boredom, and flow/engagement) during a typical learning experience.
Abstract: An Intelligent Tutoring System (ITS) system is provided that is able to identify and respond adaptively to the learner's or student's affective states (i.e., emotional states such as confusion. frustration, boredom, and flow/engagement) during a typical learning experience, in addition to adapting to the learner's cognitive states. The system comprises a new signal processing model and algorithm, as well as several non-intrusive sensing devices, and identifies and assesses affective states through dialog assessment techniques, video capture and analysis of the student's face, determination of the body posture of the student, pressure on a pressure sensitive mouse, and pressure on a pressure sensitive keyboard. By synthesizing the output from these measures, the system responds with appropriate conversational and pedagogical dialog that helps the learner regulate negative emotions in order to promote learning and engagement.
44 citations
08 Nov 1996
TL;DR: An overview of what constitutes the objectives and the content of a comprehensive course in discrete event simulation and the architecture of an intelligent tutoring system is presented and it is discussed how these sophisticated learning aids offer individualised student guidance and support within a learning environment.
Abstract: The demand for education in the area of simulation is in the increase. This paper describes how education in the field of simulation can take advantage of the virtues of intelligent tutoring with respect to enhancing the educational process. For this purpose, this paper gives an overview of what constitutes the objectives and the content of a comprehensive course in discrete event simulation. The architecture of an intelligent tutoring system is presented and it is discussed how these sophisticated learning aids offer individualised student guidance and support within a learning environment. The paper then introduces a prototype intelligent tutoring system, the simulation tutor, and suggests how the system might be developed to enhance education in simulation.
44 citations
TL;DR: This paper describes the ELDIT system, the needs and challenges of language content authoring by teachers, and the two authoring support components that have developed for two essential kinds of language learning content: illustrative examples and educational texts.
Abstract: Intelligent Educational Systems (IESs) need large amounts of educational content that is typically not provided by the creators of these systems. In this paper we discuss a new approach for authoring practical IESs where core authoring is done by professional design teams, while the educational content is mainly developed by teachers who use the system in their classes. The major bottleneck of this approach is the lack of intelligent authoring support tools that allow regular teachers to author intelligent content that an IES needs in order to perform its functions. As a contribution to solving this problem, we present our recent work on authoring support for an adaptive vocabulary acquisition system, ELDIT. The paper describes the ELDIT system, the needs and challenges of language content authoring by teachers, and the two authoring support components that we have developed for two essential kinds of language learning content: illustrative examples and educational texts.
44 citations
TL;DR: In this paper, an electronic tutoring system, developed using principles of artificial intelligence (AI), was used to help students learn the accounting cycle and provide instruction and feedback that is tailored to each individual student.
44 citations