Title: The design and implementation of a context-aware mobile hadith learning system

Authors: Aise Zulal Sevkli; Luvai Motiwalla; Hamdy Fadl Abdulkarem

Addresses: Faculty of Engineering, Department of Computer Engineering, Fatih University, Buyukcekmece, Istanbul, 34500, Turkey ' Department of Operation and Information Systems, Manning School of Business, University of Massachusetts Lowell, Lowell, Massachusetts 01854, USA ' Faculty of Engineering, Department of Computer Engineering, Fatih University, Buyukcekmece, Istanbul, 34500, Turkey

Abstract: The rapid development of emerging technologies for mobile devices has enabled them to contribute strongly to the creation of new paths for learning. In this paper, a novel context-aware mobile learning application is proposed to encourage and promote hadith learning. Prophetic narrations texts or hadith are considered as a very important source of Islamic culture. This hadith learning system (HLS) uses prophetic narration texts as hadith learning resources. Three dimensions (location, time and profile) of user context are implemented. To match appropriate hadith on three context dimensions of users, context-filtering based regular expression and ontology matching-recommending techniques are used. HLS has been tested on 20 users. Two questionnaires were completed by test users. The results of both questionnaires show that our application has no serious usability problems and that the proposed system can be used to promote hadith learning along with increasing the progress of users.

Keywords: context-aware; mobile learning system; mobile application; hadith learning; ontology matching.

DOI: 10.1504/IJMLO.2017.087064

International Journal of Mobile Learning and Organisation, 2017 Vol.11 No.4, pp.295 - 313

Received: 26 Dec 2016
Accepted: 25 Feb 2017
Published online: 05 Oct 2017 *

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