• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.469-476
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• 2020

This study is a qualitative study to grasp the meaning of the effective role of tutors of college students experiencing problem-based learning through focus group interviews. The subjects of this study were 4th grade students in the Department of Nursing who had experienced PBL, and a total of 21 people were divided into 3 groups and interviewed. Data were analyzed in content to find meaningful topics. The results of this study were analyzed into two subjects and eight categories. Based on the research results, if we summarize the role of effective tutors recognized by students in PBL. 1) Create a permissive atmosphere so that students can express their ideas freely and interact. 2) Give praise and encouragement. 3) Encourage all learners to participate. In particular, learners with low participation should be asked questions to promote active discussion. 4) Avoid unnecessary intervention and participate in the discussion together. 5) Adjust the learning speed and manage the time well. 6) Develop a scenario that meets the goals. 7) Classes are run around questions that can promote learners' thinking. 8) It plays a role of helping to form knowledge by providing positive feedback to learners' responses.

• Annual Conference on Human and Language Technology
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• 2019.10a
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• pp.12-17
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• 2019

FAQ(Frequently Asked Questions) 질의 응답 시스템은 자주 묻는 질문과 답변을 정의하고, 사용자 질의에 대해 정의된 답변 중 가장 알맞는 답변을 추론하여 제공하는 시스템이다. 정의된 대표 질문 및 대응하는 답변을 클래스(Class)라고 했을 때, FAQ 질의 응답 시스템은 분류(Classification) 문제라고 할 수 있다. 종래의 FAQ 분류는 동일 클래스 내 동의 문장(Paraphrase)에서 나타나는 공통적인 특징을 통해 분류 문제를 학습하였으나, 이는 비슷한 단어 구성을 가지면서 한 두 개의 단어에 의해 의미가 다른 문장의 차이를 구분하지 못하며, 특히 서로 다른 클래스에 속한 학습 데이터 간에 비슷한 의미를 가지는 문장이 존재할 때 클래스 분류에 오류가 발생하기 쉬운 문제점을 가지고 있다. 본 논문에서는 이 문제점을 해결하고자 서로 다른 클래스 내의 학습 데이터 문장들이 상이한 클래스임을 구분할 수 있도록 클래스 일치 여부(Class coincidence classification) 문제를 결합 학습(Jointly learning)하는 기법을 제안한다. 동일 클래스 내 학습 문장의 무작위 쌍(Pair)을 생성 및 학습하여 해당 쌍이 같은 클래스에 속한다는 것을 학습하게 하면서, 동시에 서로 다른 클래스 간 학습 문장의 무작위 쌍을 생성 및 학습하여 해당 쌍은 상이한 클래스임을 구분해 내는 능력을 함께 학습하도록 유도하였다. 실험을 위해서는 최근 발표되어 자연어 처리 분야에서 가장 좋은 성능을 보이고 있는 BERT 의 텍스트 분류 모델을 이용했으며, 제안한 기법을 적용한 모델과의 성능 비교를 위해 한국어 FAQ 데이터를 기반으로 실험을 진행했다. 실험 결과, 분류 문제만 단독으로 학습한 BERT 기본 모델보다 본 연구에서 제안한 클래스 일치 여부 결합 학습 모델이 유사한 문장들 간의 차이를 구분하며 유의미한 성능 향상을 보인다는 것을 확인할 수 있었다.

• Communications of Mathematical Education
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• v.27 no.3
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• pp.249-266
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• 2013

The purpose of this research is to investigate the principles for the development of mathematics textbook based on storytelling through literature review, textbook development, and classroom implementation. Mathematics textbook based on storytelling has been developed to help students learn mathematics interesting and meaningful. The principle for the development principles include as the principle of context, process-oriented, communication, and diversity. The developed mathematics textbooks was implemented in high school mathematics classes in order to investigate the effectiveness of the textbooks. We analyzed the data collected by the survey and the interview to find that the mathematics textbook based on storytelling had positive effect on teaching and learning of mathematics. We discussed the implication for the future development and implementation of mathematics textbook based on storytelling.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2006.06a
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• pp.1-7
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• 2006

최근 수년간 한국어를 위한 어휘의미망에 대한 관심은 꾸준히 높아지고 있지만, 그 결과물을 어떻게 평가하고 활용할 것인가에 대한 방안은 이루어지지 않고 있다. 본 논문에서는 단어클러스터링 시스템 개발을 통하여, 어휘의미망에 의해 확장되기 전후의 클러스터링을 수행하여 데이터를 서로 비교하였다. 단어클러스터링 시스템 개발을 위해 사용된 학습 데이터는 신문 말뭉치 기사로 총 68,455,856 어절 규모이며, 특성벡터와 벡터공간모델을 이용하여 시스템A를 완성하였다. 시스템B는 구축된 '[-하]동사류' 3,656개의 어휘의미를 포함하는 동사어휘의미망을 포함하여 확장된 것으로 확장대상정보를 선택하여 특성벡터를 재구성한다. 대상이 되는 실험 데이터는 '다국어 어휘의미망-코어넷'으로 클러스터링 결과 나타난 어휘들의 세 번째 층위까지의 노드 동일성 여부로 정확률 검수를 하였다. 같은 환경에서 시스템A와 시스템B를 비교한 결과 단어클러스터링의 정확률이 45.3%에서 46.6%로의 향상을 보였다. 향후 연구는 어휘의미망을 활용하여 좀 더 다양한 시스템에 체계적이고 폭넓은 평가를 통해 전산시스템의 향상은 물론, 연구되고 있는 많은 어휘의미망에 의미 있는 평가 방안을 확대시켜 나가야 할 것이다.

• Journal of the Korea Computer Industry Society
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• v.5 no.4
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• pp.481-490
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• 2004

Today, most education activities in the junior or senior schools are connected with evaluation. In fact, the evaluation to be accomplished is not the practice of college or university entrance examination but the evaluation analysis of studies accomplishment. In this program, students process their teaming contents according to their level, and they evaluate the accomplishment of learning by themselves. Through the various analysis of evaluation, students who are not in the appropriate level get into the learning plan of low level course. This study makes them notice the lack of teaming ability in time and proposes proper evaluation system which offers right feedbacks and various analysis information for themselves.

• Annual Conference on Human and Language Technology
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• 2009.10a
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• pp.155-159
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• 2009

본 논문은 한국어 문서 감정분류를 위한 중요한 어휘 자원인 감정자질(Sentiment Feature)의 의미지향성(Semantic Orientation) 추정을 위해 일반적인 특성과 영역(Domain) 의존적인 특성을 반영하여 한국어 문서 감정분류(Sentiment Classification)의 성능 향상을 얻을 수 있는 기법을 제안한다. 감정자질의 의미지 향성은 검색 엔진을 통해 추출한 각 감정 자질의 스니핏(Snippet)과 실험 말뭉치를 이용하여 추정할 수 있다. 검색 엔진을 통해 추출된 스니핏은 감정자질의 일반적인 특성을 반영하며, 실험 말뭉치는 분류하고자 하는 영역 의존적인 특성을 반영한다. 이렇게 얻어진 감정자질의 의미지향성 수치는 각 문장의 감정강도를 추정하기 위해 이용되며, 문장의 감정 강도의 값을 TF-IDF 가중치 기법에 접목하여 감정자질의 가중치를 책정한다. 최종적으로 학습 과정에서 긍정 문서에서는 긍정 감정자질, 부정 문서에서는 부정 감정자질을 대상으로 추가 가중치를 부여하여 학습하였다. 본 논문에서는 문서 분류에 뛰어난 성능을 보여주는 지지 벡터 기계(Support Vector Machine)를 사용하여 제안한 방법의 성능을 평가한다. 평가 결과, 일반적인 정보 검색에서 사용하는 내용어(Content Word) 기반의 자질을 사용한 경우보다 3.1%의 성능향상을 보였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.1211-1214
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• 2002

인터넷에 의한 학습은 인터넷 활용 중 가장 증가 추세가 높은 분야이며, 장래성이 밝은 사업 분야로 주목받고 있다. 인터넷에 의한 교육은 시간 및 공간적 제약 해소, 반복 학습가능, 정보제공 및 공유 등이 용이하여 그 의미가 점차 증대되고 있다. 본 논문은 기존의 전통적 학습체제의 강의, 자율학습 및 교재 분야 등 각기 부분적 분야로 되어 있는 학습 업무 처리 체계를 통합시스템 구현을 목표로 한 웹 기반 학습 통합체계를 제시한다. 본 논문에서는 강의 및 학습 공간을 공유하고, 기존의 전통적 학습과 달리 사용자 중심의 학습을 효과적으로 진행시키는 통합 시스템(WBICSE:WBI Course or Software Engineering)을 제시하고, 설계와 구현 방법에 관해 논한다.

• Journal of KIISE:Software and Applications
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• v.35 no.5
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• pp.306-312
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• 2008

In a goal-oriented dialogue, speaker's intention can be approximated by a semantic structure that consists of a pair of a speech act and a concept sequence. Therefore, it is very important to correctly identify the semantic structure of an utterance for implementing an intelligent dialogue system. In this paper, we propose a model to efficiently analyze the semantic structures based on an active teaming method. To reduce the burdens of high-level linguistic analysis, the proposed model only uses morphological features and previous semantic structures as input features. To improve the precisions of semantic structure analysis, the proposed model adopts CRFs(Conditional Random Fields), which show high performances in natural language processing, as an underlying statistical model. In the experiments in a schedule arrangement domain, we found that the proposed model shows similar performances(92.4% in speech act analysis and 89.8% in concept sequence analysis) to the previous models although it uses about a third of training data.

• The Journal of Korean Philosophical History
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• no.31
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• pp.87-111
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• 2011

In moral instruction, one of the important purposes is cultivate students' meaningful moral knowing. To obtain this purpose, generally systems approach has been adopted and used in moral instruction. Systems approach has emphasized efficient designs which do not occur incidental learning that does not contribute to obtain learning objectives. However, moral meaning may occur to the subject of knowing, then occurrence of coincidence can not be excluded. If we approach to moral instruction with operative and engineering ways, we may convey the learning object but it won't be received meaningfully. Because of such problem, moral instruction has been required an alternative perspective contrary to the systems approach. Above all we need to reconsider the logic of explanation based on the systems approach. Because the moral instruction is understood that it is a systematic and operative act according to the logic of explanation. According to the logic of explanation, education is an act that conveys the teachers' knowledge to students who have inferior knowledge to teachers'. During this process, students' interpretation has been overlooked. In moral instruction, the teachers' interpretation of moral meaning can occur and extend by students' interpretation. When we understand moral instruction as the course of alliance between interpretation, it could be stood out that teaching as a symbol, constitution of teaching text as a vacuum, learning as a coincidence. When we stand out these aspects, the moral instruction could be understand as a poetic act. And based on such understanding, we can abstract specific resemblances between the poetic act and the moral instruction. There are semantic invariants and semantic variants in the teaching text of moral instruction. The semantic variants premise uncertainty. The limitation, that is, semantic invariants and the openness which is possible within semantic variants are changed to the moral instruction by students' response. It is essential that a selective attention as esthetic transaction that could be changed from text to poet. Like this, we need to take notice of instructive aspects not to means for reaching learning objectives but to act for being possible disinterested experiential learning.

• Communications of Mathematical Education
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• v.20 no.1 s.25
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• pp.33-59
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• 2006

This study is intended to reconsider the meaning of the education for gifted/talented children, the foundation object of science high school by examining the behavior characteristics between gifted students and talented students in open-end mathematical problem solving and to provide the basis for realization of 'meaningful teaming' tailored to the learner's level, the essential of school education. For the study, 8 students (4 gifted students and 4 talented students) were selected out of the 1 st grade students in science high school through the distinction procedure of 3 steps and the behavior characteristics between these two groups were analyzed according to the basis established through the literature survey. As the results of this study, the following were founded. (1) It must be recognized that the constituent members of science high school were not the same excellent group and divided into the two groups, gifted students who showed excellence in overall field of mathematical behavior characteristics and talented students who had excellence in learning ability of mathematics. (2) The behavior characteristics between gifted students and talented students, members of science high school is understood and a curriculum of science high school must include a lesson for improving the creativity as the educational institutions for gifted/talented students, unlike general high school. Based on these results, it is necessary to try to find a support plan that it reduces the case which gifted students are generalized with common talented students by the same curriculum and induces the meaningful loaming to learners, the essential of school education.