Tracking the Evolution of Written Language Competence in L2 Spanish Learners

Alessio Miaschi, Sam Davidson, Dominique Brunato, Felice Dell’Orletta, Kenji Sagae, Claudia Helena Sanchez-Gutierrez, Giulia Venturi


Abstract
In this paper we present an NLP-based approach for tracking the evolution of written language competence in L2 Spanish learners using a wide range of linguistic features automatically extracted from students’ written productions. Beyond reporting classification results for different scenarios, we explore the connection between the most predictive features and the teaching curriculum, finding that our set of linguistic features often reflect the explicit instructions that students receive during each course.
Anthology ID:
2020.bea-1.9
Volume:
Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications
Month:
July
Year:
2020
Address:
Seattle, WA, USA → Online
Venues:
ACL | BEA | WS
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
92–101
Language:
URL:
https://www.aclweb.org/anthology/2020.bea-1.9
DOI:
10.18653/v1/2020.bea-1.9
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.bea-1.9.pdf