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Dergiler / IOJET / 2019 / Cilt: 6 - Sayı: 4

MEASURING SPOKEN VOCABULARY LOAD ON MEDICAL ENGLISH STUDENTS: A LEARNER CORPUS EVALUATION

Diah KRİSTİNA
Muhammad RUDY
Sri Samiati TARJANA
Dergi
IOJET
Sayfa
774–787
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The analysis of students’ vocabulary can be used as a reference to contemplate thesuccess of language instruction and future betterment, particularly spoken diagnosis explanationat medical English program.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:English for Specific Purposes (ESP) teaching urges the students to have a deep understandingof specific vocabularies.
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Temel Bulgular & Veri:Additionally, the students' spoken corpora were contrasted with 2000 highfrequencywords and other three word lists to assess word distribution.
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Sonuç & Katkı:The analysis of students’ vocabulary can be used as a reference to contemplate thesuccess of language instruction and future betterment, particularly spoken diagnosis explanationat medical English program.
🔬Tür:Araştırma Makalesi
📍Kapsam:2000 Verileri
⚙️Değişkenler:Alan Parametreleri

Abstract

English for Specific Purposes (ESP) teaching urges the students to have a deep understandingof specific vocabularies. Specifically, in medical English class, spoken diagnosis explanationinvolves specific vocabularies. This corpus study was aimed to reflect the students’ achievementof spoken vocabulary during speaking practice on explaining the diagnosis. Computer softwarewas utilized to calculate frequency and range of words. The students’ vocabularies werecompared with listening tapescript corpora from a medical English textbook to evaluatevocabulary pattern. Additionally, the students' spoken corpora were contrasted with 2000 highfrequencywords and other three word lists to assess word distribution. This study revealed thatmedical students used few specialized vocabularies in order to deliver their explicable messageto the patient. The analysis of students’ vocabulary can be used as a reference to contemplate thesuccess of language instruction and future betterment, particularly spoken diagnosis explanationat medical English program.

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Bu Makaleye Atıf Yap

KRİSTİNA, D., RUDY, M., TARJANA, S. S. (2022). MEASURING SPOKEN VOCABULARY LOAD ON MEDICAL ENGLISH STUDENTS: A LEARNER CORPUS EVALUATION. IOJET, Cilt: 6 - Sayı: 4, 774–787. https://ajindex.com/articles/542297

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Kaynakça (11)

  1. Beng, C. O. S., & Keong, Y. C. (2017). Comparing structural and functional lexical bundles in MUET reading test. Pertanika Journal of Social Sciences and Humanities, 25(1), 133–148.
  2. Browne, C. (2013). The new general service list: Celebrating 60 years of vocabulary learning. Language Teacher, 37(4), 13. Coxhead, A. (2000). A new academic word list. TESOL Quarterly, 34(2), 251 – 263. Fauziati, E. (2016). Applied linguistics: Principles of foreign language teaching, learning and researching. Surakarta: Era Pustaka Utama. Gerot, L. & Wignell, P. (1995). Making sense of functional grammar: An introductory workbook. New South Wales: Gerd Stable. Glendinning, Eric. H. & Holmstrom, Beverly, A. S. (2001). English in medicine third edition. Cambridge: Cambridge University Press.
  3. Heatley, A., Nation, I. S. P. & Coxhead, A. (2002). RANGE and FREQUENCY [Computer software]. Retrieved from https://www.victoria.ac.nz/lals/about/staff/paul-nation
  4. Heng, C. S., & Abdullah, A. N. (2013). Norms of language choice and use in relation to listening and speaking?: The realities of the practice in the Malaysian banking sector.” Pertanika Journal of Social Sciences and Humanities, 21, 117–130.
  5. Hsu, W. (2011). The vocabulary tresholds of business textbooks and business research articles for EFL learners. English for Specific Purposes, 30(4), 247-257.
  6. Hsu, W. (2014). Measuring the vocabulary load of engineering textbooks. English for Specific Purposes, 33(2014), 54-65.
  7. Khojasteh, L., Shokrpour, N., & Torabiardakani, N. (2017). EFL advanced adult learners. Use of English modals in narrative composition.” Pertanika Journal of Social Sciences and Humanities, 25(4), 1803–1820.
  8. Knight, S. (1994). Dictionary: The tool of last resort in foreign language reading? A new perspective. The Modern Language Journal, 78, 285-299
  9. Konstantakis, N. (2007). Creating a business word list for teaching business English.” ELIA, 7(1), 79 – 102. Lei, L., & Liu, D. (2016). A new medical academic word list: A corpus-based study with enhanced methodology. Journal of English for Academic Purposes, 22(November), 42–53. https://doi.org/10.1016/j.jeap.2016.01.008
  10. M.Nordin, N.R., Stapa, S. H., & Darus, S. (2013). Developing a specialized vocabulary word list in a composition culinary course through lecture notes.” Advances in Language and Literary Studies, 4(1), 78-88 https://doi.org/10.7575/aiac.alls.v.4n.1p.78
  11. Martinez, I. A., Beck, S. C., & Panza, C. B. (2009). Academic vocabulary in agriculture research articles