The core of adaptive system is user model containing personal information such as knowledge, learning styles, goalsâ?¦ which is requisite for learning personalized process. There are many modeling approaches, for example: stereotype, overlay, plan recognitionâ?¦ but they donâ??t bring out the solid method for reasoning from user model. This paper introduces the statistical method that combines Bayesian network and overlay modeling so that it is able to infer userâ??s knowledge from evidences collected during userâ??s learning process
Bayesian networks are tools that were developed by the Artificial Intelligence and Statistic communi...
Bayesian reasoning and decision making is widely considered normative because it minimizes predictio...
Students have different characteristics of learning, in terms of knowledge, interest, learning style...
The core of adaptive system is user model containing personal information such as knowledge, learnin...
In this paper, a Bayesian-Network-based model isproposed to optimize the Global Adaptive e-LearningP...
Abstract—First of all, and to clarify our purpose, it seems important to say that the work we are pr...
Models of computer users that are learned on the basis of data can make use of two types of informat...
This paper represents a new approach to manage learner modeling in an adaptive learning system frame...
In this paper, a Bayesian-Network-based model is proposed to optimize the Global Adaptive e-Learning...
User modeling is an important component of dialog systems. Most previous approaches are rulebased me...
Intelligent Tutoring Systems must make use of student models to represent the knowledge of their use...
Acquiring a reliable student model is the principal task of an Intelligent Tutoring System (ITS). A...
When using Learning Object Repositories, it is interesting to have mechanisms to select the more ade...
The World Wide Web is a popular platform for providing eLearning applications to a wide spectrum of ...
A personal information filtering system monitors an incoming document stream to find the documents t...
Bayesian networks are tools that were developed by the Artificial Intelligence and Statistic communi...
Bayesian reasoning and decision making is widely considered normative because it minimizes predictio...
Students have different characteristics of learning, in terms of knowledge, interest, learning style...
The core of adaptive system is user model containing personal information such as knowledge, learnin...
In this paper, a Bayesian-Network-based model isproposed to optimize the Global Adaptive e-LearningP...
Abstract—First of all, and to clarify our purpose, it seems important to say that the work we are pr...
Models of computer users that are learned on the basis of data can make use of two types of informat...
This paper represents a new approach to manage learner modeling in an adaptive learning system frame...
In this paper, a Bayesian-Network-based model is proposed to optimize the Global Adaptive e-Learning...
User modeling is an important component of dialog systems. Most previous approaches are rulebased me...
Intelligent Tutoring Systems must make use of student models to represent the knowledge of their use...
Acquiring a reliable student model is the principal task of an Intelligent Tutoring System (ITS). A...
When using Learning Object Repositories, it is interesting to have mechanisms to select the more ade...
The World Wide Web is a popular platform for providing eLearning applications to a wide spectrum of ...
A personal information filtering system monitors an incoming document stream to find the documents t...
Bayesian networks are tools that were developed by the Artificial Intelligence and Statistic communi...
Bayesian reasoning and decision making is widely considered normative because it minimizes predictio...
Students have different characteristics of learning, in terms of knowledge, interest, learning style...