• Journal of the Korean Society for information Management
• /
• v.30 no.3
• /
• pp.157-181
• /
• 2013

Using user satisfaction surveys and LibQUAL+ instruments, libraries are increasingly gathering qualitative data such as verbatim user comments as well as quantitative data. Such qualitative data can be utilized as clues in establishing library service strategies: to better understand user issues, to identify areas for service improvement, and to prioritize user needs. For this, it is necessary to analyze user comments data and to apply results to the delivery of service and the library policies. This study is an attempt to investigate ways in which user comments data can be made useful in libraries. It identifies different methods of analyzing user comments data from LibQUAL+ surveys and compares qualitative data analysis software programs and taxonomies. It also presents the results of applying these tools to a subset of actual user comments data gathered from a recent LibQUAL+ survey at a major university library in Korea.

• Korean Journal of Childcare and Education
• /
• v.9 no.6
• /
• pp.243-265
• /
• 2013

The purpose of this study is to figure out how a child, as an active responder, responds to the characters of fantastic picture books by analyzing the child's questions and comments through the reading aloud approach. The subjects of this study are fifty-four children under five years old. Nine fantastic picture books are used as the study materials. The contents of the analysis are the frequency of children's questions and comments, the types of responses and the reasons of preferences to the characters. The results of the analysis are as follows: Firstly, the frequency of comments is three times higher than the frequency of questions. Secondly, the frequency of "evaluative questions" is the highest and "imaginative questions" is the next highest. The frequency of "transparent questions" and "personal questions" are comparatively low. Thirdly, most of the children answered that the reason of preference of the characters was "the character's appearance" and then "their subjective feeling to the character", "the character's role" and "the character's characteristics" in that order. Only one child answered that it was "the character's gender." This study will contribute to the planning and implementation of the strategies of reading picture books and to the strategic study to improve children's responses as well.

• Korean Journal of Cognitive Science
• /
• v.23 no.1
• /
• pp.47-71
• /
• 2012

This study examined how students revised their writing after reciprocal peer review and how their revision activities were influenced by the review. Undergraduates in physics class wrote a laboratory reports, exchanged comments with peers, and revised their reports afterward based on the comments they received from their peers. The comparison between the original and the revised drafts showed that students were mainly concerned with micro-meaning revisions, focusing on making changes on individual words, clauses, and sentences. Revisions that dealt with macro-meaning of the texts were not as frequent. Giving and receiving comments influenced later revision activities. Receiving comments on micro-meaning of the texts led to a significant increase in both micro- and macro-meaning revisions. Receiving comments on macro-meaning of the texts, however, did not prompt relevant revision activities. Even when students engaged in macro revision, it was negatively related to writing performance gains in one subgroup, suggesting that even after peers point out macro-problems in their writing, students are not competent to solve the problems yet. The results of the study suggest that more efforts are needed to help them to understand and manipulate the macro-meaning structure of the texts.

• Annual Conference on Human and Language Technology
• /
• 2001.10d
• /
• pp.503-508
• /
• 2001

본 논문은 자연언어생성 기술을 이용하여 질병에 대한 기술문을 생성해 내는 시스템에서 사용되는 표층 생성기에 대해서 다루고 있다. 표층 생성기는 문장의 추상적인 표현으로부터 통사적으로, 형태론적으로 올바른 텍스트로 생성하여 내는 것을 목표로 한다. 질병에 관한 기술문에 있는 문장들은 두가지 특징을 가지고 있다. 첫번째로, 질병 기술문의 문장들은 토픽-코멘트 구조로 나타내어질 수 있다. 두번째로, 같은 의미 범주에 속하는 문장들은 같은 토픽을 가진다. 따라서, 토픽은 의미범주로부터 유추될 수 있으므로 표층 생성기의 입력인 구 명세 (phrase specification)에 표현될 필요가 없다. 본 논문에서는 이런 특징을 이용하여 효율적인 표층 생성기를 만들기 위하여 표층 생성의 단계를 내부 표현 생성과 외부 문장 생성의 두 단계로 나누었다. 내부 표현 생성 단계에서는 코멘트에 해당하는 부분을 생성하고 외부 문장 생성 단계에서 의미범주 태그에 따라 토픽을 첨가하여 최종 문장으로 생성하였다. 이런 방법으로 실험한 결과, 본 표층 생성기는 문법에 맞으면서 자연스러운 텍스트를 생성해 낸다는 것을 알 수 있었다.

• The Science & Technology
• /
• v.35 no.8 s.399
• /
• pp.12-13
• /
• 2002

• The Science & Technology
• /
• v.35 no.12 s.403
• /
• pp.14-15
• /
• 2002

• The Science & Technology
• /
• v.35 no.9 s.400
• /
• pp.14-15
• /
• 2002

• Corrugated packaging logistics
• /
• s.91
• /
• pp.58-58
• /
• 2010

• Corrugated packaging logistics
• /
• s.92
• /
• pp.48-51
• /
• 2010

• The Science & Technology
• /
• v.35 no.6 s.397
• /
• pp.14-15
• /
• 2002

[세계 10위의 빛과 그림자] 특허부문 평가 '논란' 과학문화는 여전히 하위/[李祥羲 의원의 '고군분투'] 선거사상 처음 '과학' 이슈, 네티즌 지지 미래 밝혀