Web assisted language learning system for enhancing Arabic language learning using cognates

This paper aims to study the use of the WWW in the learning and teaching of Arabic as a second language. Moreover, it aims to study the combination of Web Assisted Language Learning (WALL) and cognate (words similar in meaning and pronunciation) transfer for Arabic language. In addition, the main go...

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Main Authors: Shehab, Roaya, Zeki, Akram M.
Format: Article
Language:English
English
English
Published: Universiti Teknologi Malaysia 2015
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Online Access:http://irep.iium.edu.my/46741/1/6538-18046-1-SM.pdf
http://irep.iium.edu.my/46741/4/46741_Web%20assisted%20language%20learning%20system%20for%20enhancing_Scopus.pdf
http://irep.iium.edu.my/46741/5/46741_Web%20assisted%20language%20learning%20system%20for%20enhancing_WOS.pdf
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http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/6538
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spelling my.iium.irep.467412017-09-25T08:15:04Z http://irep.iium.edu.my/46741/ Web assisted language learning system for enhancing Arabic language learning using cognates Shehab, Roaya Zeki, Akram M. T Technology (General) This paper aims to study the use of the WWW in the learning and teaching of Arabic as a second language. Moreover, it aims to study the combination of Web Assisted Language Learning (WALL) and cognate (words similar in meaning and pronunciation) transfer for Arabic language. In addition, the main goal of this paper is to enhance learning of the Arabic language with the approach of WALL. Therefore, the authors built an Arabic WALL system that automatically identifies cognates in Arabic and any other language. The WALL system displays the cognates in a list and as lessons. However, for evaluating the system, Malay language was chosen to be stored in the database. To evaluate the system, a quantitative method was used in the study. A survey was conducted among two groups of respondents. The respondents of the first group were five (5) Malay-speaking learners. The respondents of the second group were five (5) teachers who teach Arabic to Malaysian students. The questionnaire consisted of 14 closed questions (five-point Likert scale). It was found that the majority of participants were satisfied using the system and that they preferred it over traditional learning. They also found the system to be an effective learning tool. Overall, the findings showed that the goals of the study had been achieved. Universiti Teknologi Malaysia 2015 Article REM application/pdf en http://irep.iium.edu.my/46741/1/6538-18046-1-SM.pdf application/pdf en http://irep.iium.edu.my/46741/4/46741_Web%20assisted%20language%20learning%20system%20for%20enhancing_Scopus.pdf application/pdf en http://irep.iium.edu.my/46741/5/46741_Web%20assisted%20language%20learning%20system%20for%20enhancing_WOS.pdf Shehab, Roaya and Zeki, Akram M. (2015) Web assisted language learning system for enhancing Arabic language learning using cognates. Jurnal Teknologi, 77 (19). pp. 107-112. ISSN 2180–3722 (O), 0127–9696 (P) http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/6538 10.11113/jt.v77.6538
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
English
topic T Technology (General)
spellingShingle T Technology (General)
Shehab, Roaya
Zeki, Akram M.
Web assisted language learning system for enhancing Arabic language learning using cognates
description This paper aims to study the use of the WWW in the learning and teaching of Arabic as a second language. Moreover, it aims to study the combination of Web Assisted Language Learning (WALL) and cognate (words similar in meaning and pronunciation) transfer for Arabic language. In addition, the main goal of this paper is to enhance learning of the Arabic language with the approach of WALL. Therefore, the authors built an Arabic WALL system that automatically identifies cognates in Arabic and any other language. The WALL system displays the cognates in a list and as lessons. However, for evaluating the system, Malay language was chosen to be stored in the database. To evaluate the system, a quantitative method was used in the study. A survey was conducted among two groups of respondents. The respondents of the first group were five (5) Malay-speaking learners. The respondents of the second group were five (5) teachers who teach Arabic to Malaysian students. The questionnaire consisted of 14 closed questions (five-point Likert scale). It was found that the majority of participants were satisfied using the system and that they preferred it over traditional learning. They also found the system to be an effective learning tool. Overall, the findings showed that the goals of the study had been achieved.
format Article
author Shehab, Roaya
Zeki, Akram M.
author_facet Shehab, Roaya
Zeki, Akram M.
author_sort Shehab, Roaya
title Web assisted language learning system for enhancing Arabic language learning using cognates
title_short Web assisted language learning system for enhancing Arabic language learning using cognates
title_full Web assisted language learning system for enhancing Arabic language learning using cognates
title_fullStr Web assisted language learning system for enhancing Arabic language learning using cognates
title_full_unstemmed Web assisted language learning system for enhancing Arabic language learning using cognates
title_sort web assisted language learning system for enhancing arabic language learning using cognates
publisher Universiti Teknologi Malaysia
publishDate 2015
url http://irep.iium.edu.my/46741/1/6538-18046-1-SM.pdf
http://irep.iium.edu.my/46741/4/46741_Web%20assisted%20language%20learning%20system%20for%20enhancing_Scopus.pdf
http://irep.iium.edu.my/46741/5/46741_Web%20assisted%20language%20learning%20system%20for%20enhancing_WOS.pdf
http://irep.iium.edu.my/46741/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/6538
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score 13.160551