Computer-assisted Language Learning takes into account Individual Differences

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Abstract. Technology has surely influenced human activities and education is not an exception. Applying technology to the learning is becoming an important educational issue today.  The use of Computer Assisted Language Learning (CALL) in the field of education has increased remarkably in recent years due to the swift and modern changes in language software.   This study examined whether computer-assisted language learning (CALL) takes into account individual factors?  A course ware of CALL which was available in the market was chosen as an example of CALL. It is called Rosetta Stone (version 4). The overall program was considered. A CALL questionnaire was designed and was piloted. After that, its reliability was estimated. This questionnaire certainly was reliable, since α =0.91. The questionnaire was administrated among different language institutes.50 in-service teachers, who had MA in TESOL and have worked with this software, were asked to answer to this questionnaire in Esfahan, Iran. After a mouth, the questionnaires were collected. The statistical result indicated that computer-assisted language learning significantly grant individual variables.


Computer, Language Learning

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Bagheri,E.,Roohani, A.,Nejad Ansari, D., Effect of CALL-based and Non-CALL Based Methods of Teaching on L2 Vocabulary Learning, ISSN 1798-4769 Journal of Language

Teaching and Research, Vol. 3, No. 4, pp. 744-752, July 2012 © 2012 ACADEMY

PUBLISHER Manufactured in Finland. doi:10.4304/jltr.3.4.744-752

Bangs, P. & Cantos, P., What can Computer Assisted Language Learning Contribute to Foreign Language Pedagogy? IJES, vol. 4 (l), 2004, pp. 221-239

Botha J., Communicative approaches in computer-assisted language instruction (CALl), PER LINGUAM VOL. 4 NO. I 1988

Chastain, K., Developing second-language skills Theory and Practice Third edition Dornyei, Z.,& Skehan P., Individual Differences in Second Language Learning, chapter 18,pp. 589-630

Gan, Z., L2 Learner Individual Differences: An Integrative and Contextualist Perspective, Reflections on English Language Teaching, Vol. 10, No. 1, pp. 67–88 Gineno Sanz A., Principles in Cal1 Software Design and lmplementationl, IJES, vol. 2 ( l ) , 2002, pp. 109- 128

Gündüz, Z., “Computer Assisted Language Learning” Journal of Language and Linguistic Studies, Vol.1, No.2, October 2005

Kumaravadivelu, B., understanding language teaching from method to postmethod, ESL& Applied linguistics Professional Series, 2006

LoCastro, V., Individual differences in second language acquisition: attitudes, learner subjectivity, Prathibha,J., Computer Assisted Language Learning :Benefits And Barriers, Research Scholar, Dept. of English Manonmaniam Sundarnar University, Vol.-II 3 Jan-June (Summer) 2010

Ravichandran, T., Computer Assisted Language Learning (Call) In The Perspective Of Interactive Approach: Advantages And Apprehensions, National Seminar on CALL, Anna University, Chennai, 10-12 Feb. 2000, pp. 82-89

Simpson, J., The Routledge handbook of applied linguistic, 2011

Van Han, N., & van Ransburg, H., The Effect of Computer Assisted Language Learning (CALL) on Performance in the Test of English for International Communication (TOEIC) Listening Module, English Language Teaching; Vol. 7, No. 2; 2014 ISSN 1916-4742 E-ISSN 1916-4750 Published by Canadian Center of Science and Education

Wyatt, D., The microcomputer: A tool for personal language learning, PER LINGUAM VOL. 2 NO. 2 1986,

Yang, Y., Computer-assisted Foreign Language Teaching: Theory and Practice, ISSN 1798-4769 L2 pragmatic norms, System 29 (2001) 69±89,