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  • Evgeny Chukharev-Hudilainen (a1), Aysel Saricaoglu (a2), Mark Torrance (a3) and Hui-Hsien Feng (a4)


Although fluency is an important subconstruct of language proficiency, it has not received as much attention in L2 writing research as complexity and accuracy have, in part due to the lack of methodological approaches for the analysis of large datasets of writing-process data. This article presents a method of time-aligned keystroke logging and eye-tracking and reports an empirical study investigating L2 writing fluency through this method. Twenty-four undergraduate students at a private university in Turkey performed two writing tasks delivered through a web text editor with embedded keystroke logging and eye-tracking capabilities. Linear mixed-effects models were fit to predict indices of pausing and reading behaviors based on language status (L1 vs. L2) and linguistic context factors. Findings revealed differences between pausing and eye-fixation behavior in L1 and L2 writing processes. The article concludes by discussing the affordances of the proposed method from the theoretical and practical standpoints.


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*Correspondence concerning this article should be addressed to Evgeny Chukharev-Hudilainen, 203 Ross Hall, Ames, Iowa 50011, USA. E-mail:


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This material is based upon work supported by the National Science Foundation under Grant No. 1550122. The authors are grateful to the anonymous reviewers and the special issue editors, Dr. Andrea Révész and Dr. Marije Michel, for the valuable feedback on the early versions of this manuscript.



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  • Evgeny Chukharev-Hudilainen (a1), Aysel Saricaoglu (a2), Mark Torrance (a3) and Hui-Hsien Feng (a4)


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