ºÝºÝߣshows by User: marielleleijten / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: marielleleijten / Thu, 21 Feb 2013 08:27:29 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: marielleleijten Analyzing professional writing from multiple sources via keystroke logging with Inputlog /slideshow/inputlog/16671297 2013xprowitecleijtenandvanwaes-ppt-130221082729-phpapp01
Full reference: "Leijten, M., & Van Waes, L. (2013). Workshop: Analyzing professional writing from multiple sources via keystroke logging with Inputlog. Paper presented at the X. Prowitec Symposium: Methods in Writing Process Research, Hamburg. www.inputlog.net ]]>
Full reference: "Leijten, M., & Van Waes, L. (2013). Workshop: Analyzing professional writing from multiple sources via keystroke logging with Inputlog. Paper presented at the X. Prowitec Symposium: Methods in Writing Process Research, Hamburg. www.inputlog.net ]]> Thu, 21 Feb 2013 08:27:29 GMT /slideshow/inputlog/16671297 marielleleijten@slideshare.net(marielleleijten) Analyzing professional writing from multiple sources via keystroke logging with Inputlog marielleleijten Full reference: "Leijten, M., & Van Waes, L. (2013). Workshop: Analyzing professional writing from multiple sources via keystroke logging with Inputlog. Paper presented at the X. Prowitec Symposium: Methods in Writing Process Research, Hamburg. www.inputlog.net <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2013xprowitecleijtenandvanwaes-ppt-130221082729-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Full reference: &quot;Leijten, M., &amp; Van Waes, L. (2013). Workshop: Analyzing professional writing from multiple sources via keystroke logging with Inputlog. Paper presented at the X. Prowitec Symposium: Methods in Writing Process Research, Hamburg. www.inputlog.net
Analyzing professional writing from multiple sources via keystroke logging with Inputlog from Mariè°·lle Leijten
]]> 713 4 https://cdn.slidesharecdn.com/ss_thumbnails/2013xprowitecleijtenandvanwaes-ppt-130221082729-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Professional Writing from Multiple Sources /slideshow/handout-sig-writing-2012-leijten-and-van-waes-multiple-sources/16671106 handoutsigwriting2012-leijtenandvanwaes-multiplesources-130221081758-phpapp02
Introduction Previous writing research has lead to various well-known writing process models. However, these models are primarily based on observations made in educational environments and relate to single texts. Professional writers in the workplace on the other hand often use multiple (digital) sources to succesfully write their business texts. Writing a business text, e.g. a report for a merger, is a very complex activity during which a wide variety of sources are consulted. This project, therefore, addresses the following research question: What characterizes the writing processes of professional writers 'designing' business texts from multiple (digital) sources? Method In this research project (2010-2013) we describe the activities of writing professionals when writing in their organisational setting (via keystroke logging and participative observation). In this stage, we have gathered a variety of writing process data, ranging from proposals to tweets. The writing process data are collected with Inputlog. Inputlog is a keystroke logging program that registers an identification of every activated window environment (e.g. program, document, or web page) which is very important for the source analysis. Results During the presentation we describe the main concepts of this research project via case studies: the use of multiple sources, the implications of sources on the fragmentation and fluency of the writing process, and we will end with an example of a linguistic analysis of the data. To show the complexity of professional writing we have, for instance, transferred the Inputlog data to a network analysis program (Pajek). A network analysis shows the relative time spent reading/writing the different sources and the direction/quantity of the transitions between the sources when producing a text. In one of our cases (a project proposal that took 10 hours to producs), we observed that this writer on average switches 5 times per minute between documents and programs and that he spends about 75% of the time consulting other (re)sources while writing. The conclusions will be related to the excisting writing models. Especially the decision process a writer needs to make to either retrieve information from the long term memory or consult an external (re)source seems to be an important aspect that influences the organisation of the writing process. ]]>
Introduction Previous writing research has lead to various well-known writing process models. However, these models are primarily based on observations made in educational environments and relate to single texts. Professional writers in the workplace on the other hand often use multiple (digital) sources to succesfully write their business texts. Writing a business text, e.g. a report for a merger, is a very complex activity during which a wide variety of sources are consulted. This project, therefore, addresses the following research question: What characterizes the writing processes of professional writers 'designing' business texts from multiple (digital) sources? Method In this research project (2010-2013) we describe the activities of writing professionals when writing in their organisational setting (via keystroke logging and participative observation). In this stage, we have gathered a variety of writing process data, ranging from proposals to tweets. The writing process data are collected with Inputlog. Inputlog is a keystroke logging program that registers an identification of every activated window environment (e.g. program, document, or web page) which is very important for the source analysis. Results During the presentation we describe the main concepts of this research project via case studies: the use of multiple sources, the implications of sources on the fragmentation and fluency of the writing process, and we will end with an example of a linguistic analysis of the data. To show the complexity of professional writing we have, for instance, transferred the Inputlog data to a network analysis program (Pajek). A network analysis shows the relative time spent reading/writing the different sources and the direction/quantity of the transitions between the sources when producing a text. In one of our cases (a project proposal that took 10 hours to producs), we observed that this writer on average switches 5 times per minute between documents and programs and that he spends about 75% of the time consulting other (re)sources while writing. The conclusions will be related to the excisting writing models. Especially the decision process a writer needs to make to either retrieve information from the long term memory or consult an external (re)source seems to be an important aspect that influences the organisation of the writing process. ]]> Thu, 21 Feb 2013 08:17:58 GMT /slideshow/handout-sig-writing-2012-leijten-and-van-waes-multiple-sources/16671106 marielleleijten@slideshare.net(marielleleijten) Professional Writing from Multiple Sources marielleleijten Introduction Previous writing research has lead to various well-known writing process models. However, these models are primarily based on observations made in educational environments and relate to single texts. Professional writers in the workplace on the other hand often use multiple (digital) sources to succesfully write their business texts. Writing a business text, e.g. a report for a merger, is a very complex activity during which a wide variety of sources are consulted. This project, therefore, addresses the following research question: What characterizes the writing processes of professional writers 'designing' business texts from multiple (digital) sources? Method In this research project (2010-2013) we describe the activities of writing professionals when writing in their organisational setting (via keystroke logging and participative observation). In this stage, we have gathered a variety of writing process data, ranging from proposals to tweets. The writing process data are collected with Inputlog. Inputlog is a keystroke logging program that registers an identification of every activated window environment (e.g. program, document, or web page) which is very important for the source analysis. Results During the presentation we describe the main concepts of this research project via case studies: the use of multiple sources, the implications of sources on the fragmentation and fluency of the writing process, and we will end with an example of a linguistic analysis of the data. To show the complexity of professional writing we have, for instance, transferred the Inputlog data to a network analysis program (Pajek). A network analysis shows the relative time spent reading/writing the different sources and the direction/quantity of the transitions between the sources when producing a text. In one of our cases (a project proposal that took 10 hours to producs), we observed that this writer on average switches 5 times per minute between documents and programs and that he spends about 75% of the time consulting other (re)sources while writing. The conclusions will be related to the excisting writing models. Especially the decision process a writer needs to make to either retrieve information from the long term memory or consult an external (re)source seems to be an important aspect that influences the organisation of the writing process. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/handoutsigwriting2012-leijtenandvanwaes-multiplesources-130221081758-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Introduction Previous writing research has lead to various well-known writing process models. However, these models are primarily based on observations made in educational environments and relate to single texts. Professional writers in the workplace on the other hand often use multiple (digital) sources to succesfully write their business texts. Writing a business text, e.g. a report for a merger, is a very complex activity during which a wide variety of sources are consulted. This project, therefore, addresses the following research question: What characterizes the writing processes of professional writers &#39;designing&#39; business texts from multiple (digital) sources? Method In this research project (2010-2013) we describe the activities of writing professionals when writing in their organisational setting (via keystroke logging and participative observation). In this stage, we have gathered a variety of writing process data, ranging from proposals to tweets. The writing process data are collected with Inputlog. Inputlog is a keystroke logging program that registers an identification of every activated window environment (e.g. program, document, or web page) which is very important for the source analysis. Results During the presentation we describe the main concepts of this research project via case studies: the use of multiple sources, the implications of sources on the fragmentation and fluency of the writing process, and we will end with an example of a linguistic analysis of the data. To show the complexity of professional writing we have, for instance, transferred the Inputlog data to a network analysis program (Pajek). A network analysis shows the relative time spent reading/writing the different sources and the direction/quantity of the transitions between the sources when producing a text. In one of our cases (a project proposal that took 10 hours to producs), we observed that this writer on average switches 5 times per minute between documents and programs and that he spends about 75% of the time consulting other (re)sources while writing. The conclusions will be related to the excisting writing models. Especially the decision process a writer needs to make to either retrieve information from the long term memory or consult an external (re)source seems to be an important aspect that influences the organisation of the writing process.
Professional Writing from Multiple Sources from Mariè°·lle Leijten
]]> 547 5 https://cdn.slidesharecdn.com/ss_thumbnails/handoutsigwriting2012-leijtenandvanwaes-multiplesources-130221081758-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-marielleleijten-48x48.jpg?cb=1530391703 www.ua.ac.be/marielle.leijten https://cdn.slidesharecdn.com/ss_thumbnails/2013xprowitecleijtenandvanwaes-ppt-130221082729-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/inputlog/16671297 Analyzing professional... https://cdn.slidesharecdn.com/ss_thumbnails/handoutsigwriting2012-leijtenandvanwaes-multiplesources-130221081758-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/handout-sig-writing-2012-leijten-and-van-waes-multiple-sources/16671106 Professional Writing f...