Insights from Data-driven Learning on Vocabulary Use in the TEM-8 and Students’ Compositions

DOI

10.2991/ssemse-15.2015.334How to use a DOI?

Keywords

data-driven learning; TEM-8 compositions; Jukupigai automated scoring system

Abstract

This paper analyzes the features of vocabulary use of TEM-8 compositions (Test of English for English Majors Band 8) and third-year English majors’ compositions at Guangxi University based on the calculations of RANGE, SPSS 19, and the Jukupigai automated scoring system. This research aims to identify weaknesses, problems, and confusions in the writing of English majors and to provide strategies for correcting these. The results indicate that TEM-8 compositions display a variety of vocabulary use; most topics in the TEM-8 are debatable issues in social and cultural areas; most third-year English majors use fixed adverbs, conjunctions, and adjectives in their writing; the accuracy and appropriateness of personal pronouns and modal auxiliary verbs is problematic in students’ writing; and the numbers of conjunctions and verb phrases in students’ compositions have a moderate influence on their English-language writing scores.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Y. Sheng
AU  - M.Z. Xiao
PY  - 2015/11
DA  - 2015/11
TI  - Insights from Data-driven Learning on Vocabulary Use in the TEM-8 and Students’ Compositions
BT  - Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education
PB  - Atlantis Press
SP  - 1297
EP  - 1300
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssemse-15.2015.334
DO  - 10.2991/ssemse-15.2015.334
ID  - Sheng2015/11
ER  -