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As research into intelligent tutoring systems (ITS) passes the 25 year mark, it leaves behind a history full of technical accomplishments, yet unfulfilled expectations. Researchers have demonstrated that it is possible to build intelligent representations of domain, instructional, and student knowledge for a wide variety of domains. In addition, those representations can be used in concert with one...
New information technology (IT) is a major challenge to human adaptability. A crucial issue for the integration of new IT in the education system is the enhancement of its role of preserving cultural heritage, improving knowledge transferal and social integration. Software agents are computer programs that can be used to improve learning. Learning is described by five attributes: pleasure, learning...
Coached problem solving is known to be effective for teaching cognitive skills. Simple forms of coached problem solving are used in many ITS. This paper first considers how university physics can be taught via coached problem solving. It then discusses how coached problem solving can be extended to support two other forms of learning: conceptual learning and meta learning.
Résumé La définition d'outils informatiques pour concevoir des ITS constitue un des apports des informaticiens dans un travail pluridisciplinaire de conception. Notre propos est de présenter une architecture logicielle pour gérer l'interaction dans un ITS. Cette architecture fondée sur les concepts d'événement-logiciel et de plan d'intervention repose sur deux principes définit au sein d'une équipe...
The evolution of intelligent tutoring systems (ITS) toward the use of multiple learning strategies calls on a multi-agent architecture. We designed an ITS where several agents assume different pedagogical roles; consequently, we called them actors. We first describe the conceptual architecture of an actor which allows it to be reactive, instructable, adaptive and cognitive. We then provide a detailed...
We propose a domain independent framework for computer based instruction systems capable of generating custom courses. A salient property of our framework is that the corpus content, pedagogical course structure, and course delivery are independent. The system does not use a student model. We believe that the student is the best model of himself and provide him with the power to dynamically change...
This paper present a generic architecture for Intelligent Tutoring Systems. First, learning is described with three hierarchic level: curriculum, lesson and problem. We describe an agent model to represent knowledge at problem level. This agent model contain a definition of intern archictecture and a description of the different algorithms for collaboration between agents. After we see that this model...
Intelligent Tutoring Systems (ITSs) have become increasingly important for enabling students to understand and solve specific problems. It is realised that today's state-of-the-art ITSs still lack the collaboration and co-operation aspects in a real life classroom. This paper describes the LearnMedia, a co-operative ITS for learning multimedia. The architecture of LearnMedia consists of three layers,...
While intelligent tutoring systems are becoming more common and proving to be increasingly effective, each one must still be built from scratch at a significant cost. ITS Authoring tools, developed to address this issue, have a variety of purposes and intended users, and their design must account for tradeoffs among four overall goals: scope, depth, learnability, and productivity. We discussed how...
We present software tools with which a language teacher can specify exercises for the Fluent-2 two-medium conversational language learning environment. The tools permit creation of tutorial schemas, language usage structures and graphical properties of objects. These data structures play major roles in guiding the execution of an exercise on a particular grammatical topic. The tools support our goal...
Résumé Notre étude porte sur la collecte, la formalisation et la comparaison des modèles mentaux d'étudiants en thermodynamique. Elle s'appuie sur des résultats provenant de la psychologie cognitive et des outils développés en intelligence artificielle. Elle rapporte les observations sur des entretiens que nous avons menés auprès de Novices et d'Experts afin de saisir leurs modèles mentaux, et propose...
This paper examines a plan scaffolding interface in the ACT Programming Tutor. This interface is derived from a cognitive analysis of the task structure and has been shown to accelerate the acquisition of skill. This study examines the impact of the planning interface on the learning process and on the structure of the knowledge that results. Several measures of students' declarative knowledge of...
Research has shown that tutoring by humans provide the most effective method of instruction. One school of thought in the Intelligent Tutoring Systems (ITS) community believes that studying human tutors is the best way to discover how to build effective machine tutors. This paper describes a conceptual model of tutoring that is based on a study of skilled human tutors in the domain of cardiovascular...
In this paper, we focus on the student's “motivation level” in his learning situation, and we propose the ergonomic design of ITS framework as the motivation system. The aim of this system is motivating the student for his/her learning process to give the appropriate encouragement, praise or reproach messages. It is important to represent the student's internal psychological state. Therefore, we propose...
Résumé Miace est une architecture cognitive dont un aspect original est l'intégration de l'environnement dans lequel le tuteur et Miace communiquent. Cette intégration permet de tenir compte des limites de la mémoire de travail et de créer, ainsi, une simulation plus réaliste. Dans le but d'avoir une meilleure estimation des difficultés cognitives que pose la résolution d'un exercice par un élève,...
In this paper we present our approach in learner modelling for CSCL environments. Learner models provide the information needed in order to support awareness and promote opportunities of effective collaboration and learning in a networked community of practice. The learner model is proposed as a set of beliefs hold by a software agent about the capabilities, commitments and learning goals of the learner...
This paper describes the interaction model within a computer-based intelligent learning environment based on a multi-agent architecture called MATHEMA. In MATHEMA, we have a micro-society of artificial tutoring agents that interacts with the human learner, aiming to involve him in a cooperative learning situation. We are interested in the modeling of two types of interaction: among the agents of the...
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