대구지역 대학교의 글쓰기 교재 분석 － 대구대학교 글쓰기 교재의 개선방안을 중심으로 －

Abstract

The writing process of university is having various changes after the year of 2000 from the title of it. The conversion to the ‘Discourse’ over the ‘Composition’ is actively groping from the title ‘Thinking and Expression’, ‘Logical Thinking and Writing’, ‘Thinking and Writing’ and so on. What the publication of running parallel with the process of this conversion is the teaching material reorganization. By following the compilation of the new writing materials at first on the list by Ewha Woman’s University in 2001, Yonsei University in 2004, Seoul University, Korea University, Hanyang University, Kyunghee University in 2004, University of Seoul in 2006, Sungkyunkwan University in 2007, Kyungpook National University and Daegu University in 2008 are showing the new writing materials. These new reorganization materials of writing material mean that education curriculum is already established once in the universities. Like this, when teaching material reorganization is act as the spokesman of fully reorganization of writing education process, reorganization process of writing material is significantly meaningful. Surprisingly, the discussion about the methodology of writing education is analytically progressed in depth; however, the study of writing material is enumerated fragmentary information and just explained the general features. This paper considers this type of problem and study the refined method of Daegu University material. The teaching materials for analyzing are two books which are the university teaching materials in area of Daegu, Youngnam University teaching material which was the first systematization teaching material in the history of writing materials at university in Korea and two teaching materials which are reorganized and published from Kyungpook National University in 2009. After classifying and analyzing on as formal aspects and semantic aspects, it considers the problems of Daegu University’s teaching materials and the methods for improvement based on the previous data.