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

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bitstream:

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bitstream_txt:

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collection:

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://doi.org/10.64152/10125/73613

identifier.doi:

https://doi.org/10.64152/10125/73613

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

rights.uri:

https://creativecommons.org/licenses/by-nc-nd/4.0/

site_url:

/item/10125-73613/

startingpage:

104

subject:

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

title:

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

type:

Article

type.dcmi:

Text

volume:

29