• Title/Summary/Keyword: 질문의 유형

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Analysis of Digital Reference Services in Korean Academic Libraries (대학도서관의 디지털참고봉사 제공 및 이용 분석)

  • Chang, Hye-Rhan
    • Journal of the Korean Society for information Management
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    • v.20 no.4 s.50
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    • pp.49-66
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    • 2003
  • To understand current state of the digital reference services in Korean academic libraries. a comprehensive examination and analysis was performed. Data was collected from July 8, 2003 to July 22, 2003, through direct site examination and recording the question and answer transcripts. The analysis focused on the provision characteristics and use of the digital reference services. Results revealed interesting findings and related problems. Suggestions for future development are provided.

Using the Library Mailing List for Reference/Information Services (정보 서비스를 위한 도서관 메일링 리스트의 이용에 관한 연구 - 동의대학교 도서관 메일링 리스트를 중심으로 -)

  • 이숙희
    • Journal of the Korean Society for Library and Information Science
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    • v.35 no.4
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    • pp.123-139
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    • 2001
  • Describes the impact of electronic communication media on communications among reference librarians and explores the usabilities of the mailing list as an efficient means of reference services. Out of messages made to the library mailing list over the one-year period of the study, 594 postings dealing with reference questions were examined. The types of questions and the rate of responses were analyzed and some limitations to the implementation of the malling list on answering the reference questions were discussed.

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Performance Evaluation of the Question and Answer Services in Internet Portals (인터넷포털 지식검색의 질문응답서비스 성능평가)

  • Chang, Hye-Rhan;Lee, Eun-Tae
    • Journal of Information Management
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    • v.37 no.2
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    • pp.137-156
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    • 2006
  • To evaluate the performance of the question and answer services provided through the internet portals in Korea, question and answer transcript of four major services were sampled systematically. Using the digital reference evaluation framework, number and types of questions, response rate, timeliness, accuracy for information questions and user satisfaction were measured and analyzed. The level of the service performance is identified and compared. The conclusion includes suggestions for service improvement.

Development and Application of Student's Pre-question Framework for Analysisin Elementary Science Class (초등학교 과학수업에서 학생의 사전질문 분석틀 개발 및 적용)

  • Kang, Hountae;Noh, Sukgoo
    • Journal of The Korean Association For Science Education
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    • v.38 no.2
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    • pp.235-247
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    • 2018
  • The student's pre-questions (pre-class questions related to the learning contents) not only provide the teacher a gauge of the interest and level of the student, but also provide a useful means of providing clues to proceed with the teaching-learning process. The purpose of this study is to develop an analytical framework for effectively analyzing students' pre-questions and to analyze students' pre-questions related to elementary science learning unit of the 2009 revised curriculum by applying this framework. The developed framework is composed of three major categories: knowledge type, extended type, and curious type, each of which is then subdivided into several sub-categories. Using the developed analysis framework, 914 pre-questions from the students presented in the $5^{th}$ and $6^{th}$ grades of elementary science in the 2009 revised curriculum were analyzed, and the types of questions distributed by grade. The percentage of questions by type was also different. Based on the results of this study, students' needs for learning can be grasped through the pre-questions analysis framework and reflected in the teaching-learning process, and student-centered learning contents and methods could be presented. It is expected to make a meaningful contribution to the analysis framework.

An Analysis of Change in Beginner Science Teacher's Classroom Interaction through Mentoring Program (멘토링을 통한 초임중등과학교사의 수업에서의 교사.학생 상호작용 변화 분석)

  • Nam, Jeong-Hee;Lee, Sun-Duck;Lim, Jai-Hang;Moon, Seong-Bae
    • Journal of The Korean Association For Science Education
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    • v.30 no.8
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    • pp.953-970
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    • 2010
  • The purpose of this study was to investigate the change of teacher-student interaction in a beginner secondary science teachers' class through collaborative mentoring program. Three experienced science teachers as mentors and three beginner science teachers as mentees were participated in this study. Mentors have been teaching science secondary school for more than 13 years with specialty in science education, and mentees have been teaching less than three years in secondary schools. They were matched one-toone on grounded characteristics that were revealed from pre-interview. Data collection consisted of lesson plans of mentees' classes, videotaped lessons of mentees, consultation meetings between mentors and mentees, and interviews with mentees as well as mentors. The consultation meetings and interviews were audiotaped and then transcribed with the videotaped lessons. To examine the change in teacher-student interactions, the lesson observed after four sessions of mentoring was compared to the lesson before mentoring on the basis of the analytical framework that was developed based on the interpretative approach. The analytical framework addresses the four aspects of teacher-student interaction, which include beginner of interaction (initiation), the types of the question, the student response and the feedback. After four sessions of collaborative mentoring, the beginner science teacher's classroom interactions were initiated by students more often. Teachers' questions increasingly turned into thought-provoking queries that required higherorder thinking. The students responded in the form of statements instead of asking question more frequently. Also, teachers provided more delayed feedback than immediate feedback. These changes of interaction patterns showed that students took a leading role in classroom interaction and they were encouraged to think. From this result, we argue that the beginner science teachers developed the ability to make students think and to support them in coming to an understanding of knowledge through a collaborative mentoring program.

A Study on Characteristics of Questions Presented in Chemistry Parts of Middle School Science Textbooks (중학교 과학 교과서의 화학분야 단원에 제시된 질문의 특성에 관한 연구)

  • Huh, Man-Kyu;Oh, Yung-Hee
    • Journal of the Korean Chemical Society
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    • v.55 no.1
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    • pp.124-131
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    • 2011
  • This study is conducted to analyze the questioning styles of the parts of chemistry in 17 middle school science textbooks in terms of frequency, types, and placement of questions. The instrument was the Textbook Questioning Strategies Assessment Instrument (TQSAI) developed by the Cooperative Teacher Preparation Program, University of California in 1975. An averaged ratio of questionings/sentences (Q/S) of seventeen textbooks was 13.6% varying from 6.8% to 19.7%. Various question types were used in titles, early and middle steps in the sections except late steps. The comprehending questions were most frequent in the types of inquiry courses and the focusing questions were most frequent in the characteristics of instructional courses. The percentages of empirical questions for the total numbers of questions were slightly larger than nonempirical questions with values of 54.2% and 45.8%, respectively.

Development of Question Cards for Fossil Exhibition and Comparison of Communication Depending on Whether to Use the Cards in a Fossil Gallery (화석 전시물에 대한 질문카드 개발 및 활용 여부에 따른 관람 중 소통의 특징 비교)

  • Park, Eun-Ji;Lee, Sun-Kyung;Kim, Chan-Jong;Kim, Ki-Sang
    • Journal of The Korean Association For Science Education
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    • v.30 no.6
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    • pp.799-814
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    • 2010
  • This study aimed at developing a set of question cards for fostering deep understanding and encouraging reasoning about fossils and analyze the characteristics of visitors' communication depending on whether to use the question cards in a fossil gallery. Through several steps, a card set consisted of nine generic questions about fossil exhibitions and guidance for using question cards were developed. Data related to visitors' communications were collected from 18 peer groups (from 5th to 9th grade) visiting the fossil gallery of Gwacheon National Science Museum. Visiting groups' interactions were videotape recorded and transcribed. 'Holding time,' the types of 'actions,' and the types of 'conversation' were analysed. Visitors' actions were divided into three categories: ‘look’, 'speech', and 'motion.' Furthermore, visitors' conversations categorized as 'speech' were subdivided into four patterns: 'enumerative,' 'consensual,' 'responsive,' and 'argumentative.' Using the question cards contributes to increase holding time and most of the visiting actions. Most of the conversation patterns also increased except the responsive pattern. In conclusion, using question cards in a fossil gallery could facilitate concentrated and meaningful visits by enhancing active verbal and non-verbal communications between exhibit and visitor or among visitors, encouraging visitors' reasoning about exhibits, and guiding visitors what and how to focus on exhibits.

Hierarchical Graph Reasoning for Multi-hop, Multi-task Question Answering (다중 홉 다중 작업 질문 응답을 위한 계층적 그래프 추론)

  • Lee, Sangui;Lee, Giho;Kim, Incheol
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.984-987
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    • 2020
  • 최근 오픈 도메인 자연어 질문 응답 분야에서는 폭넓은 다중 문서들을 토대로 다중 홉 추론과 동시에 서로 다른 수준의 여러 문제들을 한꺼번에 해결해야 하는 다중 작업 질문 응답에 관한 관심이 높다. 본 논문에서는 이러한 다중 홉 추론과 다중 작업을 요구하는 복잡 질문들에 효과적으로 응답하기 위해, 계층적 그래프 기반의 새로운 심층 신경망 모델을 제안한다. 제안 모델에서는 계층적 그래프와 그래프 신경망을 이용해 다중 문서들로부터 서로 다른 수준의 맥락 정보를 얻어낸 후, 이들을 활용하여 뒷받침 문장들, 답변 영역, 응답 유형 등을 동시에 구해야 하는 다중 작업 문제에 관한 답들을 예측해낸다. 본 논문에서는 오픈 도메인 자연어 질문 응답 데이터 집합인 HotpotQA를 이용한 실험들을 통해, 제안 모델의 긍정적 효과를 입증한다.

Recognition of Answer Type for WiseQA (WiseQA를 위한 정답유형 인식)

  • Heo, Jeong;Ryu, Pum Mo;Kim, Hyun Ki;Ock, Cheol Young
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.7
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    • pp.283-290
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    • 2015
  • In this paper, we propose a hybrid method for the recognition of answer types in the WiseQA system. The answer types are classified into two categories: the lexical answer type (LAT) and the semantic answer type (SAT). This paper proposes two models for the LAT detection. One is a rule-based model using question focuses. The other is a machine learning model based on sequence labeling. We also propose two models for the SAT classification. They are a machine learning model based on multiclass classification and a filtering-rule model based on the lexical answer type. The performance of the LAT detection and the SAT classification shows F1-score of 82.47% and precision of 77.13%, respectively. Compared with IBM Watson for the performance of the LAT, the precision is 1.0% lower and the recall is 7.4% higher.