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th
The 4 Educational Science International Conference
Towards a Sustainable Future of Education: Preparing Teachers and Prospective Teachers for the Digital Age

LANG-03

Clustering Academic Word List for ESL Undergraduate Program

Weningtyas Parama Iswari, Bibit Suhatmady, Yuni Utami Asih, Ida Wardani, ,
Mulawarman University, Indonesia
weningtyaspiswari@fkip.unmul.ac.id

Abstract

Academic word lists (AWL) are generally intended to be used by teachers who prepare their
students for tertiary study or by university students in their independent study. The words in
the AWL are essential for academic reading and comprehension, writing and presentation.
Therefore, field-specific academic word lists are needed, not to mention for undergraduate
students of the English Department. This study aimed at: first, generating the academic word
list for undergraduate English Language Education program, second, clustering the academic
word list into four levels, and third, specifying the academic word list into sequence and word
families. This research employed corpus linguistic research or, to be more specific, corpus-
based analysis category. The sources of data were from approximately 1000 articles from
credible journals of applied linguistics published from 2008 to 2021. The collected data were
processed to generate corpus using Antconc software. The corpus analysis followed some
stages that include coding, classifying, describing/integrating, and categorizing into four
divisions based on the targeted academic semesters. This research yielded the academic word
list for undergraduate English Language Education program, which is divided into four
divisions based on the frequency of occurance and completed with their sequence and word
families. Exposure to these academic words will equip students having academic goals to be
aware of which words are most worth studying. The list can also be used as a useful basis for
further research related to academic vocabulary in the field of applied linguistics.

Keywords: academic word list, academic vocabulary, corpus, corpus linguistics

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