Developing stealth assessments to assess young Chinese learners' L2 reading comprehension

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29_02_10125-73613.pdf (1.24 MB)

Date

2025-02-01

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University of Hawaii National Foreign Language Resource Center
Center for Language & Technology

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29

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2

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104

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130

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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.

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Stealth Assessment, Bayesian Belief Networks, Reading Comprehension, Dual Language Immersion, Less commonly taught languages

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

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https://hdl.handle.net/10125/73613

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26

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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

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Volume 29 Number 2, February 2025 Special Issue: Indigenous Languages and Less Commonly Taught Languages (LCTLs) with Technology
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