Comprehensive Computational Support for Collaborative Learning from Writing

نویسندگان

  • Peter REIMANN
  • Rafael CALVO
  • Kalina YACEF
  • Vilaythong SOUTHAVILAY
چکیده

Learning about subject matter and about writing by collaboratively authoring an electronic document is an important variant of computer-supported collaborative learning. Collaborative writing is particularly often practiced in Higher Education. Our research has the goal to develop comprehensive software support tools for collaborative discipline-based writing, and to study how the team writing process is affected by the use of these tools. This paper describes initial tool developments that integrate computational document analysis methods with process mining methods into a comprehensive writing environment and reports first experiences gained in a undergraduate engineering course.

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تاریخ انتشار 2010