Using learners' annotations to produce feedbacks for selecting and editing learning contents in e-learning systems

Abstract

Nowadays e-learning has an important role in learning and education. Obviously one of the most important challenges in e-learning is to produce appropriate learning contents for learners. One solution might be using annotations of learners to select and edit learning contents. Due to the possibility of adding annotations to a specific learning content, exploiting learners' annotations can help author to improve learning content. Regarding to concepts' ontology and contents' annotations, it is possible to edit certain content in contents hierarchy. In addition it is possible to create learning contents by selecting high rated learners' annotations and presenting them to new learners. The benefits of the method using annotations for editing contents, is that it is implicit and having each annotation the related content can be found and if necessary it can be edited or improved . In this paper we try to present a framework for using learners' annotations in order to selecting and editing learning contents in e-learning systems. We describe details of annotations classification and method of rating annotations. In addition, the proposed solution has been tested and benefits of annotations analyze to produce feedbacks for authors have been shown. © 2009 IEEE.