Skip to content

SOPI dataset of L2 Filipino English monologue responses with CEFR-aligned SLTI rubric

Product or Programme · All products and programmes
Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A dataset of recorded L2 English monologue responses collected through Simulated Oral Proficiency Interviews and scored with a CEFR-aligned SLTI rubric by expert raters.

Components

Claims

-

Key Sources

  • Pakhi Bamdev, Manraj Singh Grover, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah. (2023). Automated Speech Scoring System Under The Lens Evaluating and interpreting the linguistic cues for language proficiency. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00291-5
Page metadata
Field Value
type product
id sopi-dataset-of-l2-filipino-english-monologue-responses-with-cefr-aligned-slti-rubric
title SOPI dataset of L2 Filipino English monologue responses with CEFR-aligned SLTI rubric
description A dataset of recorded L2 English monologue responses collected through Simulated Oral Proficiency Interviews and scored with a CEFR-aligned SLTI rubric by expert raters.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-27
trust unverified — no one has confirmed this page's content

Frontmatter is the page's machine-readable record — see the Schema & Guide.