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Jens Roeser; Sven De Maeyer; Mariëlle Leijten; Luuk Van Waes – Reading and Writing: An Interdisciplinary Journal, 2024
To writing anything on a keyboard at all requires us to know first what to type, then to activate motor programmes for finger movements, and execute these. An interruption in the information flow at any of these stages leads to disfluencies. To capture this combination of fluent typing and typing hesitations, researchers calculate different…
Descriptors: Keyboarding (Data Entry), Bayesian Statistics, Writing (Composition), Writing Evaluation
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Conijn, Rianne; Speltz, Emily Dux; Zaanen, Menno van; Waes, Luuk Van; Chukharev-Hudilainen, Evgeny – Written Communication, 2022
The study of revision has been a topic of interest in writing research over the past decades. Numerous studies have, for instance, shown that learning-to-revise is one of the key competences in writing development. Moreover, several models of revision have been developed, and a variety of taxonomies have been used to measure revision in empirical…
Descriptors: Writing (Composition), Revision (Written Composition), Writing Evaluation, Evaluation Methods
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Talebinamvar, Mobina; Zarrabi, Forooq – Language Testing in Asia, 2022
Feedback is an essential component of learning environments. However, providing feedback in populated classes can be challenging for teachers. On the one hand, it is unlikely that a single kind of feedback works for all students considering the heterogeneous nature of their needs. On the other hand, delivering personalized feedback is infeasible…
Descriptors: Feedback (Response), Writing Evaluation, Writing (Composition), Learning Analytics
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Malekian, Donia; Bailey, James; Kennedy, Gregor; de Barba, Paula; Nawaz, Sadia – International Educational Data Mining Society, 2019
This work aims to characterize students' writing processes using keystroke logs and understand how the extracted characteristics influence the text quality at specific moments of writing. Earlier works have proposed predictive models characterizing students' writing processes and mainly rely on distribution-based measures of pauses obtained from…
Descriptors: Writing Processes, Keyboarding (Data Entry), Writing (Composition), Writing Evaluation
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Allen, Laura K.; Jacovina, Matthew E.; Dascalu, Mihai; Roscoe, Rod D.; Kent, Kevin M.; Likens, Aaron D.; McNamara, Danielle S. – International Educational Data Mining Society, 2016
This study investigates how and whether information about students' writing can be recovered from basic behavioral data extracted during their sessions in an intelligent tutoring system for writing. We calculate basic and time-sensitive keystroke indices based on log files of keys pressed during students' writing sessions. A corpus of prompt-based…
Descriptors: Writing Processes, Intelligent Tutoring Systems, Natural Language Processing, Feedback (Response)
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Van Der Steen, Steffie; Samuelson, Dianne; Thomson, Jennifer M. – Written Communication, 2017
This study addresses the current debate about the beneficial effects of text processing software on students with different working memory (WM) during the process of academic writing, especially with regard to the ability to display higher-level conceptual thinking. A total of 54 graduate students (15 male, 39 female) wrote one essay by hand and…
Descriptors: Word Processing, Keyboarding (Data Entry), Writing (Composition), Educational Benefits