Volume 5 Number 2 (Mar. 2016)
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IJCCE 2016 Vol.5(2): 158-164 ISSN: 2010-3743
DOI: 10.17706/IJCCE.2016.5.2.158-164

Language Learning Generators — From Traditional Language Learning Methodologies to Future Computer Assisted Technologies

Eva Zanuy
Abstract—Textbooks should are tools that generate learning, and if we improved them taking into account the different learning styles, we would be creating a real Learning Generator for all the students. But the piece of the larger problem I am breaking off to work on is how to choose a Learning Generator or perfect textbook. The scope of my research includes the bestseller publishing houses in teaching English as a second language (Cambridge, Oxford, Longman, Macmillan and Richmond) and each single exercise in these textbooks will be classified on the basis of Learning Styles. The higher representation of exercises that could help the Reflector Style shows that all the publishing houses, without exception, follow the natural method. The natural method fails because it has an excess of a single Learning Style. Consequently, the publishing houses have to pay greater attention to the theories on Learning Styles and use learning systems platforms that benefit all the students. This can be accomplished through multimedia education. The future of education is in a virtual world. We should change a system based on books which just benefits a small group of students, to an e-learning system. The application of technology should become normalized moving from classrooms to language labs. Could we imagine a learning system where all students learned at their best?

Index Terms—Computer application, learning styles, second language, teaching methodologies.

The author is with Escoles Betlem, Ramal 1, Premia de Dalt, Barcelona, Spain.

Cite:Eva Zanuy, "Language Learning Generators — From Traditional Language Learning Methodologies to Future Computer Assisted Technologies," International Journal of Computer and Communication Engineering vol. 5, no. 2, pp. 158-164, 2016.

General Information

ISSN: 2010-3743 (Online)
Abbreviated Title: Int. J. Comput. Commun. Eng.
Frequency: Quarterly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: INSPEC, CNKI, Google Scholar, Crossref, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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