Volume 29 Number 2, February 2025 Special Issue: Indigenous Languages and Less Commonly Taught Languages (LCTLs) with Technology
contributor.author:
Poole, Frederick J. Coss, Matthew D. Clarke-Midura, Jody
date.accessioned:
2025-01-29T01:59:42Z
date.available:
2025-01-29T01:59:42Z
date.issued:
2025-02-01
description.abstract:
This study explored the use of stealth assessments within a digital game to assess second language (L2) Chinese learners’ reading comprehension. Log data tracking learners’ in-game behaviors from a game designed for Chinese dual language immersion classrooms (Poole et al., 2022) were used to construct Bayesian Belief Networks to model reading comprehension. Variables included the use of an in-game glossary for word lookups, time spent reading texts, vocabulary knowledge, text length, response requirements, and the number of repetitions. Networks were first built using class-level gameplay data and subsequently applied to individual students. Results showed significant correlations between students' modeled comprehension and their performance on an external reading comprehension assessment (r = .52) as well as teachers’ informal reading evaluations (r = .66), demonstrating stealth assessments’ potential for unobtrusive reading comprehension measurement. The findings contribute to the understanding of digital game-based learning and assessment in language education, particularly in the context of reading comprehension for non-alphabetic languages like Mandarin Chinese.
endingpage:
130
format.extent:
26
identifier.citation:
Poole, F. J., Coss, M. D., & Clarke-Midura, J. (2025). Developing stealth assessments to assess young Chinese learners' L2 reading comprehension. Language Learning & Technology, 29(2), 104–131. https://hdl.handle.net/10125/73613
identifier.issn:
1094-3501
identifier.uri:
https://hdl.handle.net/10125/73613
number:
2
publicationname:
Language Learning & Technology
publisher:
University of Hawaii National Foreign Language Resource Center Center for Language & Technology
rights:
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License