A Concept Analysis Scheme of Simple Stories for Learning Resources through Extraction of Domain-based Multimedia Elements
Dublin Core
Title
A Concept Analysis Scheme of Simple Stories for Learning Resources through Extraction of Domain-based Multimedia Elements
Subject
Keywords Extraction
Multimedia
Ontology
Special Education.
Description
Children with special needs face major difficulties to understand the script of stories. They cannot comprehend the words’ meaning properly. Instructors use different techniques to explain them. They read the script several times, use glossy images, symbols, and short clips. The instructors spend a lot of time searching for these elements. The preparation of every tutorial requires several hours of hard work. The objective of this work is to build a system to assist the instructor finding multimedia elements in real time that can be used during the learning sessions. The proposed system is based on a domain-oriented architecture focusing on animals and food. We use different techniques for text processing including concept analysis, key words extraction and sentence ranking. We can then determine the most significant words and sentences and generate the corresponding multimedia elements. Instructors and children can use smart devices in learning inside and outside the classroom.
Creator
Mwinyi, Masoud U.
Alja'am, Jihad M.
Abou El-Seoud, Samir
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 53-65
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2017-04-11
Rights
Copyright (c) 2017 Masoud U. Mwinyi, Jihad M. Alja'am, Samir Abou El-Seoud
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Masoud Mwinyi U., Alja'am, Jihad M. and Abou El-Seoud, Samir, A Concept Analysis Scheme of Simple Stories for Learning Resources through Extraction of Domain-based Multimedia Elements, International Association of Online Engineering (IAOE), Vienna, Austria, 2017, accessed November 15, 2024, https://igi.indrastra.com/items/show/1228