Evaluating Classroom Potential for Card-it: Digital Flashcards for Studying and Learning Italian Morphology

Mariana Shimabukuro, Jessica Zipf, Shawn Yama, Christopher Collins

Abstract
This paper presents Card-it, a web-based application for learning Italian verb conjugation. Card-it integrates a large-scale finite-state morphological~(FSM) analyzer and a flashcard application as a user-friendly way for learners to utilize the analyzer. While Card-it can be used by individual learners, to support classroom adoption, we implemented simple classroom management functionalities such as sharing flashcards to a class and tracking students’ progression. We evaluated Card-it with teachers of Italian. Card-it was reported as engaging and supportive, especially by featuring two different quiz types combined with a verb form look-up feature. Teachers were optimistic about the potential of Card-it as a classroom supplementary tool for learners of Italian as L2. Future work includes sample sentences and a complete learners evaluation.
Anthology ID:
2023.bea-1.11
Volume:
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Ekaterina Kochmar, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Nitin Madnani, Anaïs Tack, Victoria Yaneva, Zheng Yuan, Torsten Zesch
Venue:
BEA
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
130–136
Language:
URL:
https://aclanthology.org/2023.bea-1.11
DOI:
10.18653/v1/2023.bea-1.11
Bibkey:
Cite (ACL):
Mariana Shimabukuro, Jessica Zipf, Shawn Yama, and Christopher Collins. 2023. Evaluating Classroom Potential for Card-it: Digital Flashcards for Studying and Learning Italian Morphology. In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pages 130–136, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Evaluating Classroom Potential for Card-it: Digital Flashcards for Studying and Learning Italian Morphology (Shimabukuro et al., BEA 2023)
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