SHS Web Conf.
Volume 102, 2021The 3rd ETLTC International Conference on Information and Communications Technology (ETLTC2021)
|Number of page(s)||10|
|Section||Technology Assisted Language Learning|
|Published online||03 May 2021|
Prediction of General ESL Proficiency Considering Learners’ Dictation Performance
Kansai Gaidai University, College of International Professional Development, Osaka, Japan
2 Ryukoku University, Faculty of Advanced Science and Technology, Shiga, Japan
* Corresponding author: firstname.lastname@example.org
This study analyzes the extent to which dictation performance and linguistic features (linguistic difficulty of sentences during dictation) can predict general proficiency in English as a second language (ESL) learners. To this end, this study constructed a multiple linear and a non-linear regression models that predict general ESL proficiency (in which independent variables were the dictation performance scores and the linguistic features of sentences) and verified the correlation between the predicted and observed general ESL proficiencies. The results showed that general ESL proficiency could be predicted by dictation performance and linguistic features. Furthermore, the results indicated significant effects on dictation accuracy, sentence length, and mean word length.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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