Descriptive Statistics for Human Raters and AESs.

<div><p>Automated evaluation systems (AESs) for spoken language assessment are increasingly adopted in global educational settings, yet their validity in non-Western contexts remains underexplored. This study addresses this gap by examining three widely used Chinese-developed AES tools i...

Full description

Saved in:

Bibliographic Details
Main Author:	Tianhui Chen (3044838) (author)
Other Authors:	Sanjun Sun (20957288) (author)
Published:	2025
Subjects:	Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified scoring alignment analyzed developed aes tools class correlation coefficients adapted speaking test nuanced language features exploratory comparative study spoken english proficiency spoken language assessment global educational settings foreign language educational contexts study employed study addresses valuable complements validation procedures significant implications results revealed pearson correlations linear regression limited consideration likely due increasingly adopted human ratings human raters findings suggest enhance efficiency assessed simultaneously algorithmic discrepancies
Tags:	Add Tag No Tags, Be the first to tag this record!

Descriptive Statistics for Human Raters and AESs.

Similar Items