• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1615-1622
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• 2022

In order to overcome the limitations of the instructor-centered lecture-style teaching method, recently, flipped learning, a learner-centered teaching method, has been widely introduced. However, despite the many advantages of flipped learning, there is a problem that students cannot solve questions that arise during prior learning in real time. Therefore, in order to solve this problem, we developed DBbot, an assistant chatbot for database design course managed in the flipped learning method. The DBBot is composed of a chatbot app for learners and a chatbot management app for instructors. Also, it's implemented so that questions that instructors can anticipate in advance, such as questions related to class operation and every semester repeated questions related to learning content, can be answered using Google's DialogFlow. It's implemented so that questions that the instructor cannot predict in advance, such as questions related to team projects, can be answered using the question/answer DB and the BM25 algorithm, which is a similarity comparison algorithm.

• Korean Journal of Cognitive Science
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• v.26 no.3
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• pp.263-278
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• 2015

Online Q&A for the National Institute of the Korean Language provides expert's answers for questions about the Korean language, in which many similar questions are repeatedly posted like other Q&A boards. So, if a system automatically finds questions that are similar to a user's question, it can immediately provide users with recommendable answers to their question and prevent experts from wasting time to answer to similar questions repeatedly. In this paper, we set 5 classes of questions based on its topic which are frequently asked, and propose to classify questions to those classes. Our system searches similar questions by combining topic similarity, vector similarity and sequence similarity. Experiment shows that our method improves search correctness with topic classification. In experiment, Mean Reciprocal Rank(MRR) of our system is 0.756, and precision for the first result is 68.31% and precision for top five results is 87.32%.

• 전기의세계
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• v.44 no.6
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• pp.40-45
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• 1995

3일간의 심포지움을 통하여 느낀점을 몇가지 적어보면 다음과 같다. 참서자들이 첫날부터 마지막 날까지 오전, 오후 1회의 coffee break를 제외하고는 하루 종일 강연회장에 앉아서 열심히 경청하며 노트하고, 질문하는 등 열의가 대단했다. 또한 일본인 발표자 및 질문자를 위해 동시 통역을 고용하였는데, 영어 소통능력이 부족하더라도 당당하게 일어로 질의 응답을 함으로써 정보 교류가 가능하도록 배려한 점은 앞으로 우리나라에서 이와 같은 심포지움을 개최하게 될때 검토해야 할 것 같다. 특히 통역이 여성이었는데 전력 반도체 관련 용어에 매우 정통해 있고, 사전에 논문을 검토하여 질의 응답시 전문가 이상으로 능력을 발휘하는 것을 보고 우리도 이와 같은 전문 분야별 통역의 양성이 필요하다는 것을 느꼈다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.238-243
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• 2020

Although students can make their questions to clarify their curiosity, there are variety of reasons why a student cannot ask a lecturer. For example, they are ashamed to ask questions. In particular, in case of the class to attend many students, the situation for the difficulty of the question will be caused even greater. Recently, in order to overcome this problem, the Audience Presentation Program (APS) to share students' questions and comments have been introduced, it has widely used. The APS system enables students to ask questions more easily and comfortably. In this paper, we have analyzed the effect of the APS system on the basis of questionnaires in terms of easy-to-use, preference, engagement, etc. According to the results of this paper, we found that all students were satisfied with the APS system.

• Journal of KIISE
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• v.45 no.1
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• pp.30-35
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• 2018

GuessWhat?! is a game in which two machine players, composed of questioner and answerer, ask and answer yes-no-N/A questions about the object hidden for the answerer in the image, and the questioner chooses the correct object. GuessWhat?! has received much attention in the field of deep learning and artificial intelligence as a testbed for cutting-edge research on the interplay of computer vision and dialogue systems. In this study, we discuss the objective function and characteristics of the GuessWhat?! game. In addition, we propose a simple solver for GuessWhat?! using a simple rule-based algorithm. Although a human needs four or five questions on average to solve this problem, the proposed method outperforms state-of-the-art deep learning methods using only two questions, and exceeds human performance using five questions.

• Journal of the Korean Society for information Management
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• v.13 no.1
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• pp.65-82
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• 1996

The aim of this study is to identify how searchers reflect the search goal requirements associated with search questions in process and outcome. One query which has two different search goal requirements was given to subjects, that is, one is to increase high precision and the other is to increase high recall. Using ERIC ONTAP file through DIALOG online search system, 54 subjects conducted online searches twice for the high precision search and for the high recall search. Subjects employed significantly different search strategies, invested significantly different efforts, and achieved significantly different results between the high precision and the high recall search.

• Proceedings of the Korean Society for Information Management Conference
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• 2004.08a
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• pp.31-38
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• 2004

본 연구는 지식검색서비스의 특성과 성능 분석을 근거로 이용자의 정보요구와 이용행태 등 지식검색 서비스 이용과 관련된 제반사항을 조사 · 분석함으로써 이용자들의 요구를 보다 충족시킬 수 있는 지식검색서비스 방안을 제시하기 위한 목적으로 수행되었다. 이론적 연구와 실증적 이용연구에서 분석된 결과를 기초로 한 개선방안은 지식의 효과성과 검색서비스의 효율성을 강화시키는 요소를 중심으로 제시되었다. 지식 자체의 효과를 높이기 위해서는 답변의 전문성, 정확성, 주제의 특성 및 다양성을 향상시켜야 하고, 검색서비스의 효율성을 높이기 위해서는 쌍방향성, 즉시성, 편리성의 측면을 강화시켜야 한다. 이에 대한 구체적 방안으로 답변자나 답변내용의 제한, 지식 자체의 가치결정, 커뮤니케이션 수단의 확대, 질문처리과정 확인 기능, 질문자나 답변자의 로그온 상태 표시, 지능형 검색방식의 확충 등을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.407-408
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• 2021

본 연구의 목적은 Havruta 학습법 적용을 통해 학습자들 스스로 수업방식을 채택해보고 가지고 있는 지식의 공유를 통해 현장실무 교과과정에 적용하고 개선 방안을 모색하고자 하였다. 연구내용으로 첫째, 논쟁 중심 유형에서는 기술적 가치의 종류를 이해하고 그 중 어떠한 가치가 현장실무에 가장 부합하다고 생각하는지에 관한 논쟁, 둘째, 짝가르치기 유형으로 '아젠다 구축모형'중 '외부주도모형'에 대해 짝에게 가르칠 내용을 사전학습을 통해 학습의 효과를 높임과 동시에 다른 학습에서도 적용, 셋째, 질문중심 유형으로 현장실무 체계에 대한 질문중심수업을 적용하여 학습의 심화도를 높이고 질문에 익숙할 수 있도록 가이드와 유형별 질문 및 목표 제시, 넷째, 문제만들기 유형으로 활용 가능한 문제 예시자료를 통해 수업의 효과성을 학습자 스스로 체감하면서 다른 수업에서도 자발적으로 적용해 볼 수 있도록 하였다.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.4
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• pp.401-417
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• 2015

Question taxonomy is one of main approaches to understand the questioner's information need so that we can assign relevant answerers to the question submitted by the user. The goal of this study is to investigate question taxonomy of question and answering services, which are available online and in libraries and understand the characteristics of question answering services by type. In order to achieve the goal, this study examines the types of questions appeared in literature, specifically focusing on social reference, question answering systems, and reference services, and then provides a summary of question taxonomy found in question answering services.

• Journal of Korean Home Economics Education Association
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• v.31 no.1
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• pp.39-58
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• 2019

The purpose of this study was to investigate the home economics pre-service teachers' verbal interactions during their teaching practicum. For this purpose, the class interactions of four pre-service teachers were recorded, and the data were analyzed using advanced Flanders' verbal interaction analysis. The major findings are as follows: First, the item with the highest proportion of occurrences consisted of the pre-service teachers' 'lectures', 'nonverbal conditions' and 'asks questions'. 'forms a positive learning atmosphere' and 'praises or encourages' exhibited fewer occurrences, and there was little 'giving direction', 'criticizing students or justifying authority'. Second, the instances of class interactions appeared in the form of 'asks questions-student talk response' or 'lecture-asks questions', and in the last class were 'ask questions-student talk initiation' and 'accepts or uses ideas of students'. Third, trends of verbal interactions tend to be generally indirect, and students' remarks have appeared acceptable and compassionate. Fourth, according to expert analysis, 'class management questions' and 'diffusion questions' have increased. Pre-service teachers can guide students through their learning activities, and students can expand their thinking through the teachers' questions. As these results demonstrate, self-study analyses of pre-service teachers and active support in field are needed.