Intelligent library and tutoring system for e-learning

Abstract

Search engine rankings have been adopted in most advanced intelligent libraries and tutoring systems, However, intelligent libraries and intelligent tutoring systems with search engine rankings cannot select chapters (sections, paragraphs) of a specific text, which are the most relevant to a student, cannot integrate them into learner-specific alternatives of teaching material and cannot select the most rational alternative, i.e. cannot develop alternatives of training materials, perform multiple criteria analysis and automatically select the most effective variant. In order to increase the efficiency and quality of e-learning, an Intelligent Library and Tutoring System for e-learning (ILTS-EL) was developed. ILTS-EL have the ability to personalize, maximum-reuse, index, analyze and integrate valuable information and knowledge from a wide selection of existing sources. ILTS-EL, is briefly analyzed in the paper.