IOLSs enhance traditional online teaching methods by applying artificial intelligence and cognitive science. This book moves from analyzing OLSs and the role of the teacher, to knowledge modeling and ways of transferring competence in the virtual laboratory.

In presented book the Intelligent Open Learning Systems (IOLS) are proposed, described, discussed, and evaluated. The IOLS is a system in which traditional methods of online teaching are enhanced through the use of artificial intelligence and cognitive science. This is the main topic of the book.

It consists of ten chapters and is divided into three parts. The first part concentrates on the Open Learning System (OLS) analysis, in particular: the social and educational meanings of the OLS, the new role of the teacher and the new requirements regarding the structure of didactic material. Moreover, the cybernetic model of student, teacher and computer collaboration is presented, the teaching-learning process content and its main characteristics are discussed, and the system based approach to the OLS design is proposed. The second part is focused on the problem of knowledge modeling in the OLS based on the ontology and the competence approaches and leading to the learning object concept and competence management in open systems. The third part describes applications of the OLS in the virtual laboratory for competence transfer, the community-built system of distance learning network, and the AGH student city the real-life application of the OLS concept.

The authors' research findings presented in the book should be useful in various applications related to knowledge management, e-learning systems and information systems.

Latest research on Intelligent Open Learning Systems Presents concepts, models and algorithms Written by leading experts in the field

Inhalt
Part I: System Analysis Of The Open Learning Systems.- Part II: The Problem Of Knowledge Modeling In Open And Distance Learning.- Part III: Applications Of Open Learning Systems.