Actionability in CALL: linking proficiency prediction models to interpretable indicators

Authors

Institutions

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-03-13
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Actionability in CALL: linking proficiency prediction models to interpretable indicators

Cyrielle Mallart, Rémi Venant, Andrew J. Simpkin, Thomas Gaillat et al.
SPIRE - Sciences Po Institutional REpository
Psychometric Methodologies and Testing
article

Actionability in CALL: linking proficiency prediction models to interpretable indicators

Cyrielle Mallart, Rémi Venant, Andrew J. Simpkin, Thomas Gaillat, Jen-Yu Li, Bernardo Stearns, Nicolas Ballier, Paula Lissón
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Universidad de Las Palmas de Gran Canaria (ES), Ollscoil na Gaillimhe – University of Galway (IE), Université Rennes 2 (FR), Le Mans Université (FR), Universidad Internacional De La Rioja (ES), Université de Rennes (FR)
Openalex Percentile: Top 55%
Psychometric Methodologies and Testing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.