Developing Multi-function Software for Recording, Visualizing, and Analyzing Learners’ Writing Process: WritingMaetriX
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- Kusanagi Kunihiro
- Graduate School, Nagoya University JSPS
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- Abe Daisuke
- Graduate School, Nagoya University
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- Fukuta Jun'ya
- Graduate School, Nagoya University JSPS
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- Kawaguchi Yusaku
- Graduate School, Nagoya University
Bibliographic Information
- Other Title
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- 学習者のライティングプロセスを記録・可視化・分析する多機能型ソフトウェアの開発:WritingMaetriX
Description
WritingMaertiX (WMX), which we have developed and will report about in this paper, is a versatile and easy-to-use multi-function software package for recording, visualizing, and analyzing learners’ writing process. WMX applies keystroke logging to gather all information concerning to real-time writing processes of writers, and can literally “replay” the writing process by reusing the recorded keystroke information. Additionally, WMX is endowed with a sophisticated function for analyzing the writing process by automatically calculating the number of words over time and the frequencies of revisions. These time series data can also be visualized using WMX. We have also provided alternative tools for analyzing the writing process data such as (a) a semi-automatic tool for calculation of the number of words over time, (b) an original function for R (a statistical tool), which also automatically calculates the number of words over time. This paper introduces the background and the rationale for developing WMX, and its specifications. We also report the results of some surveys using WMX, demonstrating how it works in reality. We believe that our new tool, WMX, which is freely available to every researcher, teaching practitioner, and even every autonomous learner who is interested in real-time writing processes, will evoke improvements in foreign language writing research, teaching, and learning.
Journal
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- LET Journal of Central Japan
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LET Journal of Central Japan 26 (0), 23-34, 2015
Chubu Chapter, The Japan Association for Language Education & Technology
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Keywords
Details 詳細情報について
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- CRID
- 1390001205828055168
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- NII Article ID
- 130007056003
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- ISSN
- 24241792
- 21894361
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed