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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Utilizing Adaptive and Intelligent Systems for Collaborative Online Learning

Utilizing Adaptive and Intelligent Systems for Collaborative Online Learning
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Author(s): Matin Saad Abdullah (International Islamic University Malaysia (IIUM), Malaysia)and Al-Sakib Khan Pathan (International Islamic University Malaysia (IIUM), Malaysia)
Copyright: 2016
Pages: 22
Source title: Handbook of Research on Applied Learning Theory and Design in Modern Education
Source Author(s)/Editor(s): Elena A. Railean (European University of Moldova, Moldova), Gabriela Walker (University of South Dakota, USA), Atilla Elçi (Hasan Kalyoncu University, Turkey)and Liz Jackson (University of Hong Kong, Hong Kong)
DOI: 10.4018/978-1-4666-9634-1.ch008

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Abstract

The purpose of this chapter is to present an Adaptive and Intelligent model for online Qur'anic Arabic learning. The goal of this model is to make the learning process easier by extracting frequently used words and collocation in Qur'an with different contextual connotations and then applying a periodic reminding system via online. The target is to make occasional learning easier for the subscribers. The work focuses on non-native speakers of Arabic among the Muslims because it is an obligation for them to memorize and recite a part of the Qur'an during the five daily prayers. While for native Arabic speakers, it is relatively easy to understand, this approach of ours aims at achieving a level of understanding of the recited Arabic words even for the non-native users. The power of Social Media, thus Information and Communications Technology (ICT) has been effectively used in this domain. A part of this project has already been implemented. Alongside the description of our base learning model, we also present the technical details and obtained results from our implemented prototype.

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