|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|347733||618058||2015||17 صفحه PDF||سفارش دهید||دانلود رایگان|
• Writing fluency is a multidimensional construct
• Writing fluency should include both product and process measures
• Keystroke logging provides important indicators to measure writing fluency
• Interaction with (re)sources is essential when defining process fragmentation
Some texts are easy to write, others are a real struggle. This article presents a brief review of how fluency has generally been measured in writing research. In addition to these ‘traditional’ measures, we define a wide range of complementary measures that might be diagnostic of fluency, by taking also more process-related characteristics into account. These complementary measures are derived from keystroke logging data, which were collected from an experiment among 68 students who wrote two descriptive texts, one in their mother tongue and the other in their second language. By using correlation and principal component analyses, we have reduced the set of variables and created a new multidimensional model to better address the complexity of fluency in writing. This model consists of four dimensions: (a) production, (b) process variation, (c) revision, and (d) pause behavior. These four components together create a multidimensional perspective on writing, which enables us to differentiate between fluent and less fluent writers.
Journal: Computers and Composition - Volume 38, Part A, December 2015, Pages 79–95