Knowledge Representation Intelligent Educational Systems

نویسندگان

  • Ioannis Hatzilygeroudis
  • Jim Prentzas
چکیده

In this chapter, we deal with knowledge representation in intelligent educational systems (IESs). We make an effort to define requirements for knowledge representation (KR) in an IES. The requirements concern all stages of an IES’s life cycle (construction, operation and maintenance), all types of users (experts, engineers, learners) and all its modules (domain knowledge, user model, pedagogical model). We also briefly present and compare various KR schemes as far as the specified KR requirements are concerned. It appears that various hybrid approaches to knowledge representation can satisfy the requirements in a greater degree than that of single representations. Another finding is that there is not a hybrid scheme that can satisfy the requirements of all the modules of an IES. So, multiple representations or a multi-paradigm representation environment could provide a solution to requirements satisfaction.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Knowledge Representation in Intelligent Collaborative Educational Systems

In this paper, the concept of collaborative intelligent educational system is presented. Different knowledge representation models are compared in the context of their use in collaborative intelligent educational systems. Advantages of semantic networks for knowledge representation in such systems are described. Main advantages of extended semantic networks are shown and a set of basic operatio...

متن کامل

Reasoning Method on Knowledge about Functions and Operators

In artificial intelligence, there are many methods for knowledge representation. One of the effective models is the Computational Object Knowledge Base model (COKB model), which can be used to represent the total knowledge and to design the knowledge base component of practical intelligent systems. Besides, reasoning methods also play an important role in knowledge base systems. In fact, a popu...

متن کامل

Intelligent student systems : an application of viewpoints to intelligent learning environments

Intelligent Student Systems are a class of Intelligent Learning Environments that place the learner in the role of a tutor rather than a student. In an analogy with the educational practice of peer tutoring users learn by teaching the computer – inverting the predominant ‘computer as tutor’ metaphor. Intelligent Student Systems emphasize the learner’s viewpoint in educational interactions in pr...

متن کامل

Sw-el'05: Applications of Semantic Web Technologies for E-learning in Conjunction with 12th International Conference on Artificial Intelligence in Education (aied'05) Special Session on Semantic Web for Adaptive Learning Environments Session Co-chairs: Special Session on Semantic Web-based Educational Information Systems

ii Preface The AIED'05 session of the SW-EL'05 workshop focuses on Semantic Web-based knowledge representation and engineering approaches and methods for the needs of intelligent learning systems and discusses issues related to their use for content and knowledge components specification, effective intelligent courseware construction and modelling the learner. The following topics are addressed...

متن کامل

Hierarchical Functional Concepts for Knowledge Transfer among Reinforcement Learning Agents

This article introduces the notions of functional space and concept as a way of knowledge representation and abstraction for Reinforcement Learning agents. These definitions are used as a tool of knowledge transfer among agents. The agents are assumed to be heterogeneous; they have different state spaces but share a same dynamic, reward and action space. In other words, the agents are assumed t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005