A dynamic model of lexical experience for tracking of oral reading fluency

Beata Beigman Klebanov, Michael Suhan, Zuowei Wang, Tenaha O’reilly


Abstract
We present research aimed at solving a problem in assessment of oral reading fluency using children’s oral reading data from our online book reading app. It is known that properties of the passage being read aloud impact fluency estimates; therefore, passage-based measures are used to remove passage-related variance when estimating growth in oral reading fluency. However, passage-based measures reported in the literature tend to treat passages as independent events, without explicitly modeling accumulation of lexical experience as one reads through a book. We propose such a model and show that it helps explain additional variance in the measurements of children’s fluency as they read through a book, improving over a strong baseline. These results have implications for measuring growth in oral reading fluency.
Anthology ID:
2023.bea-1.48
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:
567–575
Language:
URL:
https://aclanthology.org/2023.bea-1.48
DOI:
10.18653/v1/2023.bea-1.48
Bibkey:
Cite (ACL):
Beata Beigman Klebanov, Michael Suhan, Zuowei Wang, and Tenaha O’reilly. 2023. A dynamic model of lexical experience for tracking of oral reading fluency. In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pages 567–575, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
A dynamic model of lexical experience for tracking of oral reading fluency (Beigman Klebanov et al., BEA 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.bea-1.48.pdf