A way of supporting non-arabic speakers in identifying arabic letters and reading arabic script in an E-learning system

Ahmed Mosa, Kakehi Katsuhiko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper reports how a new e-learning system for Arabic language supports the beginners of non-Arabic speakers in identifying each Arabic letter in a word and reading/pronouncing Arabic script. In Arabic, letters forming a word are connected to each other. Each Arabic letter has three different figures according to its position in a word (beginning, middle or end). Users’ studies were conducted with 77 examinees in Japan to find which one is preferable for identifying letters of two alternatives: coloring letters or separating letters with spaces. Results showed that colored alternative is preferable. We are developing an e-learning system that incorporates the coloring way and our right-to-left phonetic to support learners in identifying and reading/pronouncing Arabic script by themselves.

Original languageEnglish
Title of host publicationLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
PublisherSpringer Verlag
Pages123-129
Number of pages7
Volume138
ISBN (Print)9783319132921
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event1st International Conference on e-Learning, e-Education and Online Training, eLEOT 2014 - Bethesda
Duration: 2014 Aug 182014 Aug 20

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume138
ISSN (Print)18678211

Other

Other1st International Conference on e-Learning, e-Education and Online Training, eLEOT 2014
CityBethesda
Period14/8/1814/8/20

Keywords

  • Arabic learning
  • E-Learning
  • Mirrored form
  • Multimedia
  • Roman phonetics

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'A way of supporting non-arabic speakers in identifying arabic letters and reading arabic script in an E-learning system'. Together they form a unique fingerprint.

  • Cite this

    Mosa, A., & Katsuhiko, K. (2014). A way of supporting non-arabic speakers in identifying arabic letters and reading arabic script in an E-learning system. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 138, pp. 123-129). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 138). Springer Verlag. https://doi.org/10.1007/978-3-319-13293-8_15