Evidence-Based Statistical Evaluation of Japanese L2-Learners’ Proficiency using Principal Component Analysis

Evidence-Based Statistical Evaluation of Japanese L2-Learners’ Proficiency using Principal Component Analysis

This paper aims at an automatic evaluation of second language (L2) learners’ proficiencies and tries to analyze English conversation data having 94 statistics and Global Scale scores of the Common European Framework of Reference (CEFR) given to each participant. The CEFR defines Range, Accuracy, Flu...

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Bibliographic Details
Main Authors: Arai Masafumi, Tsubaki Hajime, Sagisaka Yoshinori
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:SHS Web of Conferences
Subjects:
principal component analysis
multiple regression analysis
cefr
l2
evaluation
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2021/13/shsconf_etltc2021_01005.pdf

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