Relevance of an intelligent tutorial agent for virtual reality training systems

Lourdeaux, Domitile; Fuchs, Philippe; Burkhardt, Jean‐Marie; Bernard, Franck Tarpin

doi:10.1504/ijceell.2002.000430

Cited by 12 publications

(14 citation statements)

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“…This final category groups together the VEs presenting not only domain and learner models, but also a pedagogical model [9]. Let us examine the example of the educational agent, Hal, from the Fiacre system [4]. The application is designed to instruct individuals in learning to drive TGV high speed trains, using virtual reality (intervention on railways).…”

Section: Vle With Domain Learner and Pedagogical Modelsmentioning

confidence: 99%

“…We worked from the studies by [4] in order to define the sets of pedagogical rules. We obtained the following tables; 3, 4 and 5 corresponding to the three levels; approaches, attitudes and techniques, respectively.…”

Section: Specifying the Sets Of Pedagogical Rulesmentioning

confidence: 99%

“…This work is designed to teach decision-making in VE. Tutoring systems to instruct learners and assist instructors already exist [4,5], but are dedicated to a specific VE. In this paper, we propose an independent VE tutoring system called Pegase, in the field of procedural and collaborative work.…”

Section: Introductionmentioning

confidence: 99%

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PEGASE: A Generic and Adaptable Intelligent System for Virtual Reality Learning Environments

Buche¹,

Bossard²,

Querrec³

et al. 2010

IJVR

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The context of this research is the creation of human learning environments using virtual reality. We propose the integration of a generic and adaptable intelligent tutoring system (Pegase) into a virtual environment. The aim of this environment is to instruct the learner, and to assist the instructor. The proposed system is created using a multi-agent system. This system emits a set of knowledge (actions carried out by the learner, knowledge about the �eld, etc.) which Pegase uses to make informed decisions. Our study focuses on the representation of knowledge about the environment, and on the adaptable pedagogical agent providing instructive assistance

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Section: Vle With Domain Learner and Pedagogical Modelsmentioning

confidence: 99%

Section: Specifying the Sets Of Pedagogical Rulesmentioning

confidence: 99%

See 1 more Smart Citation

PEGASE: A Generic and Adaptable Intelligent System for Virtual Reality Learning Environments

Buche¹,

Bossard²,

Querrec³

et al. 2010

IJVR

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show abstract

“…The VRAction class represents a set of pedagogical actions that can be applied to a virtual environment, given a certain context. The various actions are based on the list of pedagogical assistances defined by (Lourdeaux et al, 2002). Properties, expressions, conditions and pedagogical actions make it possible for the trainer to add run time individualization to the scenario based on learners' actions.…”

Section: Properties Modelmentioning

confidence: 99%

INTEGRATING KNOWLEDGE FROM VIRTUAL REALITY ENVIRONMENTS TO LEARNING SCENARIO MODELS - A Meta-modeling Approach

Marion¹,

Querrec²,

Chevaillier³

2009

Proceedings of the First International Conference on Computer Supported Education

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This paper focuses on learning scenario modeling for Virtual Reality Learning Environments (VRLE). Learning scenario models used in computer-supported learning environments are usually not able to describe educational activities implying interaction of learners with a virtual environment. In this paper, we propose an IMS-LD extension making it possible to describe executable educational activities taking place in virtual worlds. Moreover, the model described in this paper is generic in the sense that it can create scenarios regardless of the nature of virtual environments or application domain.

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“…VR training can be used in various fields such as: technical procedures [15], medicine [2], military strategy [13] or education [5]. Several projects recently demonstrated the efficiency of VR for technical training in industry, e.g.…”

Section: Related Workmentioning

confidence: 99%

Virtual technical trainer: learning how to use milling machines with multi-sensory feedback in virtual reality

Crison¹,

Lecuyer²,

d'Huart³

et al.

IEEE Proceedings. VR 2005. Virtual Reality, 2005.

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This paper describes the use and characteristics of a virtual reality system called the Virtual Technical Trainer (VTT). This system is dedicated to vocational training courses on using and programming numerically-controlled milling machines. It aims at replacing the conventional mechanical milling machines which are currently used in such vocational training courses.VTT proposes an interactive manipulation of a cutter of a virtual milling machine, with visual, audio and haptic (force) feedback. VTT uses a haptic device which was specifically designed for the purpose of our pedagogical application. When the virtual cutter mills a piece of material, a plastic deformation algorithm is used and the material is progressively carved. Trainees can feel the cutting effort thanks to a force feedback which varies as a function of different simulation parameters (rotation speed of the tool, type of material to carve, etc). Realistic audio feedback (which was recorded in real situations) and additional visual assistances may be added, in order to increase the perception and understanding of the milling task.A preliminary evaluation of VTT showed that this simulator could be used by vocational trainers successfully. It could help them to teach the basic principles of machining at the first stages of vocational training courses on numerically-controlled milling machines.

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Relevance of an intelligent tutorial agent for virtual reality training systems

Cited by 12 publications

References 0 publications

PEGASE: A Generic and Adaptable Intelligent System for Virtual Reality Learning Environments

PEGASE: A Generic and Adaptable Intelligent System for Virtual Reality Learning Environments

INTEGRATING KNOWLEDGE FROM VIRTUAL REALITY ENVIRONMENTS TO LEARNING SCENARIO MODELS - A Meta-modeling Approach

Virtual technical trainer: learning how to use milling machines with multi-sensory feedback in virtual reality

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