E-textbook enrichment using graph based e-content recommendation

Abstract

This paper presents a novel computational technique for the enrichment of E-textbook using the recommendation of the open courseware, YouTube Videos, Wikipedia articles, Slideshare, Geogebra Applets and other relevant web contents. The research work is based on NCERT secondary class mathematics E-Textbook to improve the learning deficiency by enrichment of the book using augmentation of the relevant web contents. The text mining tool is used for the enrichment of the E-textbook using the relevant E-resources available from the web. A phrase graph based algorithmic framework has been developed to extract the mathematical concepts from the E-textbook and recommend the E-contents to the enrichment of the E-textbook. The proposed method provides more precise and relevant recommendations in comparison to the available methods. © 2020 American Scientific Publishers.