Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)

About 80 percent of the world's Muslim populations are non-native speakers of the Arabic language. Since ‎it ‎is ‎‎obligatory for all Muslims to recite the Qur'an in Arabic ‎during regular prayers, ‎an ‎extraordinary ‎‎social phenomenon has taken place ‎in some parts of the ‎Muslim ‎world:...

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Main Authors:	Pathan, Al-Sakib Khan, Abdullah , Matin Saad, Al Shaikhli, Imad Fakhri
Format:	Monograph
Language:	English
Published:	RMC, IIUM 2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/43576/ http://irep.iium.edu.my/43576/1/Report_EDW_B13-084-0969.pdf

id	iium-43576
recordtype	eprints
spelling	iium-435762018-05-21T01:27:23Z http://irep.iium.edu.my/43576/ Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969) Pathan, Al-Sakib Khan Abdullah , Matin Saad Al Shaikhli, Imad Fakhri QA75 Electronic computers. Computer science About 80 percent of the world's Muslim populations are non-native speakers of the Arabic language. Since ‎it ‎is ‎‎obligatory for all Muslims to recite the Qur'an in Arabic ‎during regular prayers, ‎an ‎extraordinary ‎‎social phenomenon has taken place ‎in some parts of the ‎Muslim ‎world: Muslims, men and women, learn the complex phonological rules of the Arabic language in the context of the Qur'an and recite the "sounds" of the Qur'an often understanding very little of what they are reciting. This has given rise to a Muslim demographic segment of adult learners whose main learning goal is to recall an idiomatic translation while reading or listening to the Qur'an. Despite the availability of conventional resources for this purpose, according to our detailed investigation, no empirical research has explored the possibilities of emerging adaptive and intelligent systems for collaborative learning to address this challenge. The goals of this research are: (a) to determine the applicability of learner corpus research through automated pattern extraction from available Qur'anic corpora (b) to investigate declarative memory modeling approaches in order to develop a quantitative algorithm to maximize learning and (c) to explore the possibilities of utilizing existing social networks to enhance learner motivation. RMC, IIUM 2015 Monograph NonPeerReviewed application/pdf en http://irep.iium.edu.my/43576/1/Report_EDW_B13-084-0969.pdf Pathan, Al-Sakib Khan and Abdullah , Matin Saad and Al Shaikhli, Imad Fakhri (2015) Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969). Research Report. RMC, IIUM, IIUM. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Pathan, Al-Sakib Khan Abdullah , Matin Saad Al Shaikhli, Imad Fakhri Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
description	About 80 percent of the world's Muslim populations are non-native speakers of the Arabic language. Since ‎it ‎is ‎‎obligatory for all Muslims to recite the Qur'an in Arabic ‎during regular prayers, ‎an ‎extraordinary ‎‎social phenomenon has taken place ‎in some parts of the ‎Muslim ‎world: Muslims, men and women, learn the complex phonological rules of the Arabic language in the context of the Qur'an and recite the "sounds" of the Qur'an often understanding very little of what they are reciting. This has given rise to a Muslim demographic segment of adult learners whose main learning goal is to recall an idiomatic translation while reading or listening to the Qur'an. Despite the availability of conventional resources for this purpose, according to our detailed investigation, no empirical research has explored the possibilities of emerging adaptive and intelligent systems for collaborative learning to address this challenge. The goals of this research are: (a) to determine the applicability of learner corpus research through automated pattern extraction from available Qur'anic corpora (b) to investigate declarative memory modeling approaches in order to develop a quantitative algorithm to maximize learning and (c) to explore the possibilities of utilizing existing social networks to enhance learner motivation.
format	Monograph
author	Pathan, Al-Sakib Khan Abdullah , Matin Saad Al Shaikhli, Imad Fakhri
author_facet	Pathan, Al-Sakib Khan Abdullah , Matin Saad Al Shaikhli, Imad Fakhri
author_sort	Pathan, Al-Sakib Khan
title	Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
title_short	Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
title_full	Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
title_fullStr	Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
title_full_unstemmed	Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
title_sort	teaching and learning qur'anic arabic utilizing adaptive and intelligent systems for collaborative learning (edw b13-084-0969)
publisher	RMC, IIUM
publishDate	2015
url	http://irep.iium.edu.my/43576/ http://irep.iium.edu.my/43576/1/Report_EDW_B13-084-0969.pdf
first_indexed	2023-09-18T21:02:06Z
last_indexed	2023-09-18T21:02:06Z
_version_	1777410691628531712

Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)

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