Personalized Ontology-Based Adaptive E-Learning System

View Sample PDF

Author(s): Pakkir Mohideen S. (B. S. Abdur Rahman Crescent Institute of Science and Technology, India)
Copyright: 2021
Pages: 32
Source title: Machine Learning Approaches for Improvising Modern Learning Systems
Source Author(s)/Editor(s): Zameer Gulzar (BSAR Crescent Institute of Science and Technology, India)and A. Anny Leema (Vellore Institute of Technology (VIT), Vellore, India)
DOI: 10.4018/978-1-7998-5009-0.ch002

Keywords: Educational Technologies / Information Science Reference / Knowledge Management and Library Science / Machine Learning

Purchase

View Personalized Ontology-Based Adaptive E-Learning System on the publisher's website for pricing and purchasing information.

Abstract

This chapter illustrates novel methods to provide personalized and adaptive content to the learners. This chapter illustrates a new methodology of automatically constructing concept maps using ontology to measure the learners' understanding for a particular topic, thereby teachers can adopt adaptive teaching based on the learners knowledge structures as reflected in the concept maps. The teachers can dynamically revise and deliver instructional materials according to the learners' current progress. In the approach, the authors provide dynamic content to the learners based on neuro fuzzy domain ontology extraction algorithm. This method also provides a personalized ontology model of a learner to learn the ontological user profiles from both world knowledge base and user local instance repositories. The main quality of the innovative work is to mine the personalized ontology of the learners to extract their knowledge through ontology mining using Inc Span+ algorithm.

The IRMA Community

Research IRM

Personalized Ontology-Based Adaptive E-Learning System

Purchase

Abstract

Related Content

IRMA Sponsors