A SURVEY OF THE USE OF MOBILE TECHNOLOGY AND TRANSLATION TOOLS BY STUDENTS AT SECONDARY SCHOOL IN THAILAND
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Published:
Jul 27, 2016
Keywords:
mobile technology translation tools
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Abstract
This quantitative research aimed to study the use of technology by students for their translation needs and investigate what tools the students use for the translation. The study was based on a survey of 1707 students in four secondary schools based in Chiang Mai. This included a representative sample of each year of study, known as Mattayom levels, to ascertain any trends or variations between students at different level of education. This paper analyses the results of the closed questions of a short questionnaire written in Thai. The findings showed that students extensively used mobile technology (90.6%) and prefer to use a phone for Thai-English translation (74.5%). Tools using Google Translate were voted most used by students (72.5%) then phone apps using LEXiTRON (14.4%). The preference of phone over computer use increases after the first year of study and in the last year. Students in the initial years also indicated a significant preference for Google Translate (over 80%) as their most used tool but this preference decreases to only 58.1% for final year students.
Article Details
How to Cite
Lyons, S. (2016). A SURVEY OF THE USE OF MOBILE TECHNOLOGY AND TRANSLATION TOOLS BY STUDENTS AT SECONDARY SCHOOL IN THAILAND. PAYAP UNIVERSITY JOURNAL, 26(1), 35–57. https://doi.org/10.14456/pyuj.2016.1
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Research Articles
References
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Bing .(2015.) Bing Translator available from https://www.bing.com/translator/
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Bonnington C. .(Feb 2015). In Less Than Two Years, a Smartphone Could Be Your Only Computer [Online] Available from:http://www.wired.com/2015/02/smartphone-only-computer/ [Accessed 9th July 2015]
Chiriac P. (June 2014) EAS Survey Shows That Over 50% of Students Would Buy an App Recommended by Their Institution! [Online] Available from: http://www.educationalappstore.com/blog/eas-survey-shows-50-students-buy-app-recommended-institution/ [Accessed 14th July 2015]
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Davies Boren Z. (Oct 2014) There are officially more mobile devices than people in the world [Online] Available from: http://www.independent.co.uk/life-style/gadgets-and-tech/news/there-are-officially-more-mobile-devices-than-people-in-the-world-9780518.html [Accessed 9th July 2015]
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Kats R. (April 2013) Google exec: Mobile is biggest revolution in computing since emergence of Internet [Online] Available from: http://www.mobilemarketer.com/cms/news/advertising/15133.html [Accessed 9th July 2015]
Kessler (May 2011) 38% of College Students Can't Go 10 Minutes Without Tech, [Online] Available on http://mashable.com/2011/05/31/college-tech-device-stats/ [Accessed 8th July 2015]
Krejcie R. and Morgan D. .(1970). Determining Sample Size for Research Activities, in the Educational and Psychological Measurement, issue 30, pp 607-610. [Online] Available from http://research-advisors.com/tools/SampleSize.htm [Accessed 9 Nov 2014]
Kukulska-Hulme, A. and Shield, L. (2008). An overview of mobile assisted language learning: From content delivery to supported collaboration and interaction. ReCALL, 20(3), pp. 271–289.
Lexitron .(2015). LEXiTRON Thai-English Electronic dictionary, available from http://suparsit.com/index1.php
Line .(2015). Line Dict Translate avaiable from http://translate.linedict.com/#linedict_web/th/en
Merschel, L., Munné, J. and Clifford, J. .(June 2013). Surveying the Landscape: What is theRole of Machine Translation in Language Learning? Published in @tic. revista d’innovació educativa. (nº 10).
Modhiran, T., Kosawat K., Klaithin S., Boriboon M. and Supnithi T. .(2005). “PARSITTE: Online Thai-English Machine Translation”. In Proceedings of the MT Summit X. 13-15 September 2005, Phuket, Thailand. Pages 404-411.
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Munpru S. and Wuttikrikunlaya P. .(2013). A Survey of Online Tools Used in English-Thai and Thai-English Translation by Thai Students, 3rd International conference on Foreign Language Learning and Teaching (FLLT), Bangkok, Thailand.
Murtagh R. .(Jul 2014). Mobile Now Exceeds PC: The Biggest Shift Since the Internet Began [Online] Available from: http://searchenginewatch.com/sew/ opinion/2353616/mobile-now-exceeds-pc-the-biggest-shift-since-the-internet-began [Accessed 9th July 2015]
Nielson L. .(Feb 2013). Finally! Research-based proof that students use cell phones for LEARNING. [Accessed 31 Oct 2014] [Online] Available from http://theinnovativeeducator.blogspot.com/2013/02/finally-research-based-proof-that.html
Scheafler R., Mendenhall W., Ott R. and Gerow K .(2012). Survey Sampling, 7th edition, International edition, Cengage Learning, Canada.
Shen E. .(2010). Comparison of online machine translation tools [Online] Available from: http://www.tcworld.info/e-magazine/translation-and localization/article/comparison-of-online-machine-translation-tools/ [Accessed 20th May 2015]
Somers, H., Gaspari F. and Niño A. .(2006). Detecting inappropriate use of free online machine translation by language students – A special case of plagiarism detection. In 11th Annual Conference of the European Association for Machine Translation – Proceedings, Oslo, 41–48.
Translate .(2015). Dictionary.com available from http://translate.reference.com/
Trochim W. .(2006). Probability Sampling [Online] Available from: http://www.socialresearchmethods.net/kb/sampprob.php [Accessed 9 Dec 2014]
Wilkinson R. and Lancaster T. .(2014). Improving student motivation using technology within the STEM disciplines 2014. Report from the Higher Education Academy, HEA STEM Conference 2014.