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Displaying 1-19 out of 19 total
A Multiparadigm Intelligent Tutoring System for Robotic Arm Training
Found in: IEEE Transactions on Learning Technologies
By Philippe Fournier-Viger,Roger Nkambou,Engelbert Mephu Nguifo,Andre Mayers,Usef Faghihi
Issue Date:October 2013
pp. 364-377
To assist learners during problem-solving activities, an intelligent tutoring system (ITS) has to be equipped with domain knowledge that can support appropriate tutoring services. Providing domain knowledge is usually done by adopting one of the following ...
 
A Multi Scale Cognitive Architecture to Account for the Adaptive and Reflective Nature of Behaviour
Found in: 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Othalia Larue,Pierre Poirier,Roger Nkambou
Issue Date:December 2012
pp. 409-416
We present a multi-agent cognitive architecture in which reactive and sequential processes can dynamically influence each other to insure that behaviour is responsive to current context (behavioural and situational) while sensitive to the longer term behav...
 
Refactoring of Ontologies: Improving the Design of Ontological Models with Concept Analysis
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Mohamed Rouane-Hacene, Schahrazed Fennouh, Roger Nkambou, Petko Valtchev
Issue Date:October 2010
pp. 167-172
It is now widely accepted that in order to optimize both their usage and their design and maintenance ontologies should comply to design quality criteria, e.g., absence of redundancies and appropriate level of abstraction. Yet given the variety and scope o...
 
Improving the Behavior of Intelligent Tutoring Agents with Data Mining
Found in: IEEE Intelligent Systems
By Roger Nkambou, Philippe Fournier-Viger, Engelbert Mephu Nguifo
Issue Date:May 2009
pp. 46-53
This article presents a novel framework for adapting the behavior of intelligent agents. The framework consists of an extended sequential pattern mining algorithm that, in combination with association rule discovery techniques, is used to extract temporal ...
 
Enhancing Learning Objects with an Ontology-Based Memory
Found in: IEEE Transactions on Knowledge and Data Engineering
By Amal Zouaq, Roger Nkambou
Issue Date:June 2009
pp. 881-893
The reusability in learning objects has always been a hot issue. However, we believe that current approaches to e-Learning failed to find a satisfying answer to this concern. This paper presents an approach that enables capitalization of existing learning ...
 
Evaluating the Generation of Domain Ontologies in the Knowledge Puzzle Project
Found in: IEEE Transactions on Knowledge and Data Engineering
By Amal Zouaq, Roger Nkambou
Issue Date:November 2009
pp. 1559-1572
One of the goals of the Knowledge Puzzle Project is to automatically generate a domain ontology from plain text documents and use this ontology as the domain model in computer-based education. This paper describes the generation procedure followed by TEXCO...
 
How Emotional Mechanism Learn and Helps Other Types of Learning in a Cognitive Agent
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Usef Faghihi, Pierre Poirier, Daniel Dubois, Roger Nkambou
Issue Date:December 2008
pp. 606-611
Research in human neurobiology sustains the idea that emotions play a role, sometimes crucial, in most decisions and actions taken. Every input from perceptual mechanism passes through the amygdala before affecting action selection, sometimes temporarily b...
 
Implementation of Emotional Learning for Cognitive Tutoring Agents
Found in: Mexican International Conference on Artificial Intelligence
By Usef Faghihi, Pierre Poirier, Daniel Dubois, Mohamed Gaha, Roger Nkambou
Issue Date:October 2008
pp. 310-316
We here describe some essential and fundamental learning mechanisms, both
 
Evaluating Spatial Representations and Skills in a Simulator-Based Tutoring System
Found in: IEEE Transactions on Learning Technologies
By Philippe Fournier-Viger, Roger Nkambou, André Mayers
Issue Date:January 2008
pp. 63-74
Performing exercises in a simulation-based environment is a convenient and cost-effective way of learning spatial tasks. However, training systems that offer such environments lack models for the assessment of learner's spatial representations and skills, ...
 
Building Domain Ontologies from Text for Educational Purposes
Found in: IEEE Transactions on Learning Technologies
By Amal Zouaq, Roger Nkambou
Issue Date:January 2008
pp. 49-62
This paper presents a semi-automatic framework that aims to produce domain concept maps from text and then to derive domain ontologies from these concept maps. This methodology particularly targets the eLearning and AIED (Artificial Intelligence in Educati...
 
Learning Mechanisms for a Tutoring Cognitive Agent
Found in: Advanced Learning Technologies, IEEE International Conference on
By Usef Faghihi, Daniel Dubois, Roger Nkambou
Issue Date:July 2007
pp. 546-547
We describe two fundamental learning mechanisms implemented in a cognitive autonomous agent, CTS (Conscious Tutoring System). They are meant to allow the ITS discover regularities (frequent situations and contexts), and improve its reaction time.
   
Automatic Evaluation of Spatial Representations for Complex Robotic Arms Manipulations
Found in: Advanced Learning Technologies, IEEE International Conference on
By Philippe Fournier-Viger, Roger Nkambou, André Mayers, Daniel Dubois
Issue Date:July 2007
pp. 279-281
This paper describes how a knowledge model allows training software to evaluate spatial cognitive maps and provide tailored assistance.
 
The adaptive and intelligent testing framework: PersonFit
Found in: Advanced Learning Technologies, IEEE International Conference on
By Komi Sodoké, Gilles Raîche, Roger Nkambou
Issue Date:July 2007
pp. 715-717
E-learning has advanced considerably in the last decades allowing the interoperability of different systems and different kinds of adaptation to the student profile or learning objectives. However, some of its aspects, such as E-testing are still in their ...
 
Using a Competence Model to Aggregate Learning Knowledge Objects
Found in: Advanced Learning Technologies, IEEE International Conference on
By Amal Zouaq, Roger Nkambou, Claude Frasson
Issue Date:July 2007
pp. 836-840
Competence-based learning models have great importance for learning resources: they constitute a meaningful structure for just-in-time and just-enough learning. In this paper, we present an ontology-based competence model that allows the on-the-fly generat...
 
Enhancing Tutoring Intelligence Using Knowledge Discovery Techniques
Found in: Web Intelligence and Intelligent Agent Technology, International Conference on
By Engelbert Mephu Nguifo, Roger Nkambou
Issue Date:December 2006
pp. 7-10
In this paper, we present an approach to enhance tutoring knowledge using a promising approach of data and knowledge discovery based on pattern sequence recognition. We show how the approach is used to discover new meta knowledge and rules in a given domai...
 
The Knowledge Puzzle: An Integrated Approach of Intelligent Tutoring Systems and Knowledge Management
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Amal Zouaq, Roger Nkambou, Claude Frasson
Issue Date:November 2006
pp. 575-582
In this paper, we present The Knowledge Puzzle, an ontology-based platform designed to facilitate domain knowledge acquisition for knowledge-based systems and especially for intelligent tutoring systems. We present a new content model, the Knowledge Puzzle...
 
Supporting Simulation-Based Training Using a ?Conscious? Tutoring Agent
Found in: Advanced Learning Technologies, IEEE International Conference on
By Daniel Dubois, Roger Nkambou, Patrick Hohmeyer
Issue Date:July 2006
pp. 936-938
Learning with Tutoring Systems implies large amounts and varied types of information that the Tutor should take into account in order to better adapt the learning session to student?s needs. Managing all this information to optimize learning is not an easy...
 
Managing Inference Process in Student Modeling for Intelligent Tutoring Systems
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Roger Nkambou
Issue Date:November 1999
pp. 19
In this paper, we present an approach to managing side effect of information updates in the student model (SM). The approach is based on fuzzy logic and fuzzy reasoning on knowledge structure in the SM. The SM includes three parts: cognitive model, behavio...
 
RuleGrowth: mining sequential rules common to several sequences by pattern-growth
Found in: Proceedings of the 2011 ACM Symposium on Applied Computing (SAC '11)
By Philippe Fournier-Viger, Roger Nkambou, Vincent Shin-Mu Tseng
Issue Date:March 2011
pp. 956-961
Mining sequential rules from large databases is an important topic in data mining fields with wide applications. Most of the relevant studies focused on finding sequential rules appearing in a single sequence of events and the mining task dealing with mult...
     
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