Assessing Chinese EFL learners’ speaking proficiency levels

Abstract This study elicits 120 recordings as research data from the Test for English Majors Band 4 (TEM-4) Oral Test. We investigate the distinguishing cohesive devices across and between four pairs of speaking proficiency levels and the predictive cohesive devices for L2 speaking proficiency by examining all cohesion indices in TAACO for an independent speaking task. Results show that 15 local, 3 global, and 6 text cohesion indices distinguish across speaking proficiency levels. Besides, cohesion indices vary in differentiating powers at certain levels. In addition, 7 local, 5 global, and 1 text cohesion indices significantly correlate to L2 speaking proficiency levels. The regression model containing 2 local and 3 text cohesion indices explains 63.8% of the variance in predicting L2 speaking proficiency levels. These findings hold some implications for L2 speaking pedagogy and test assessment.

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Publication Details

Journal
Journal of Second Language Studies
Published
2025-03-11
DOI
https://doi.org/10.1075/jsls.00044.xu
Primary Topic
Second Language Acquisition and Learning
Type
article
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article

Assessing Chinese EFL learners’ speaking proficiency levels

Qi Xu, D. Zhou
Journal of Second Language Studies
Second Language Acquisition and Learning
article

Assessing Chinese EFL learners’ speaking proficiency levels

Qi Xu, D. Zhou
article en

Abstract

Abstract This study elicits 120 recordings as research data from the Test for English Majors Band 4 (TEM-4) Oral Test. We investigate the distinguishing cohesive devices across and between four pairs of speaking proficiency levels and the predictive cohesive devices for L2 speaking proficiency by examining all cohesion indices in TAACO for an independent speaking task. Results show that 15 local, 3 global, and 6 text cohesion indices distinguish across speaking proficiency levels. Besides, cohesion indices vary in differentiating powers at certain levels. In addition, 7 local, 5 global, and 1 text cohesion indices significantly correlate to L2 speaking proficiency levels. The regression model containing 2 local and 3 text cohesion indices explains 63.8% of the variance in predicting L2 speaking proficiency levels. These findings hold some implications for L2 speaking pedagogy and test assessment.

Journal of Second Language StudiesVol. 8(1)
Université Ibn Zohr (MA), Nanjing University (CN)
Openalex Percentile: Top 96%
Second Language Acquisition and Learning
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