• The Journal of Korean Association of Computer Education
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• v.23 no.4
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• pp.23-33
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• 2020

Online judge provides compilation, execution, and immediate feedback on the source submitted by the learner, and ensures the accuracy and reliability of the evaluation, but it's difficult to select the language according to the level of the learner because most of them provide only textual language. In this study, a block language for online judge was developed and applied to high school classes, and the difference in self-efficacy between the block language and the textual language group was confirmed. It was found that Block language group have more ability expectation to overcome disgust experience than textual language group and Textual language group have significant decrease in ability expectation to start activity and to continue activity. It implies that Block language has an effect on self-efficacy for afterward programming activities, and methods of teaching, learning and evaluation should be devised in the case of textual language so that student's self-efficacy does not deteriorate at the initial and ongoing stage of activity. The results of this study are meaningful in that it provide various implications of methods for enhancing self-efficacy in high school class of programming.

• Information Systems Review
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• v.21 no.2
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• pp.117-137
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• 2019

In the Big Data era, data science has become popular with the production of numerous data in various domains, and the power of data has become a competitive power. There is a growing interest in unstructured data, which accounts for more than 80% of the world's data. Along with the everyday use of social media, most of the unstructured data is in the form of text data and plays an important role in various areas such as marketing, finance, and distribution. However, text mining using social media is difficult to access and difficult to use compared to data mining using numerical data. Thus, this study aims to develop Korean Natural Language Application (KoALA) as an integrated application for easy and handy social media text mining without relying on programming language or high-level hardware or solution. KoALA is a specialized application for social media text mining. It is an integrated application that can analyze both Korean and English. KoALA handles the entire process from data collection to preprocessing, analysis and visualization. This paper describes the process of designing, implementing, and applying KoALA applications using the design science methodology. Lastly, we will discuss practical use of KoALA through a block-chain business case. Through this paper, we hope to popularize social media text mining and utilize it for practical and academic use in various domains.

• Journal of the Korean Society for information Management
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• v.28 no.4
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• pp.65-83
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• 2011

In this study, Network Text Analysis was performed on 1,752 articles which had been published in recent 7 years and drew the subject concept distribution and their relations in Library and Information Science research areas. Furthermore, for analyzing more recent trends and changing aspects, this study performed secondary analysis based on 482 articles published in recent 2 years. Results show that "public library", and "academic library" concepts were most frequently studied in the field and "evaluation", "education", and "web" concepts showed the highest-degree centrality during the recent 7 years. In the result of recent two years analysis, "web", and "classification" concepts showed high frequency and "user", and "public library" showed an improvement in high degree centrality.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.302-310
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• 2022

This study examined the results obtained using the text mining method for research trends related to learning counseling among adolescents and suggested subsequent research directions. The top 1 and 2 of Korean youth concerns are learning and career paths. Topic modeling analysis was conducted using text mining techniques that can minimize researcher's subjectivity and prejudice for 201 academic papers above KCI registration candidates through RISS with keywords such as Learning Counseling and Academic Counseling. Learning counseling topic results showed counseling experience [topic 1], group counseling research [topic 2], parent counseling [topic 3], and learning technology program development [topic 4]. Research related to learning counseling is developing counseling for emotional stability. Group counseling, parent counseling, and learning technology programs. Learning counseling to solve adolescents' concerns is expected to continue research on integrated support through psychological emotion, parent counseling, and collaboration with learning technology experts.

• Journal of Popular Narrative
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• v.27 no.3
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• pp.195-228
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• 2021

The purpose of this study is to review the mobility-based textual research methods raised in Mobility and Foucault and apply them to textual analysis. This book contains seven articles applying Foucault's terms to mobility studies, giving intellectual stimulation to both studies. Since Foucault examined discipline power operated through the technology of distinguishing between rational/irrational and normal/abnormal, his works seem to a study of closed spaces like prisons. However, the authors of this book note that Foucault's works already had sufficient insight on mobility, and them actively incorporated it into mobility study. When we concentrate Foucault's works on mobility as a governmentality and a dispositif, the tension and dynamics between mobility and immobility are emphasized. And then it is possible to cross the simple dichotomy in mobility studies. This paper analyzes Kim Joong-hyuk's short story 1F/B1 by applying this method. This story describes a building manager who seems to be fixed in a building, but the mobility of him in the story goes through stereotypes and creates new spaces. Kim Hye-jin's short stories also represent mobility that cannot move and hesitates. These stories are important in that they show the mobility as a dispositif that constitutes the subject. When referring to the achievements of Mobility and Foucault, we read this narrative again by paying attention to the dynamics of mobility and immobility in the text. The significance of this paper is that it expands mobility-based textual research anew. While text analysis applying mobility study was usually focused on clearly mobile narratives such as travel statements and diaspora narratives, Mobility and Foucault drives new textual research by paying attention to the relationship between power and mobility, mobility and immobility dynamics. Therefore, this paper is significant in confirming the new meaning of the text revealed when paying attention to the representation of mobility in the narrative that no one seems to be mobile, and seeking to expand the mobility-based textual research method.

• The Korean Journal of Applied Statistics
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• v.29 no.5
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• pp.935-947
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• 2016

This paper considers the analysis of patterns in meteorological research and development using a text-mining algorithm as the method of analyzing unstructured data. To analyze text data, we define a list of terms related to meteorological research and development, construct times series of a term-document matrix through data preprocessing, and identify terms that have upward or downward patterns over time. The proposed methodology is applied to multi-year plans funded by Korea Meteorological Administration research and development programs from 2011 to 2015.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.619-621
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• 2004

유비쿼터스 컴퓨팅에 대한 연구가 활발하게 전개되고 있는 지금, PC에서뿐만 아니라 언제 어디서나 가능한 모바일 환경에서 다양한 사용자 인터랙션에 중점을 두고 떨러 가지 기하객체들과 이미지, 텍스트 객체 등을 지원함으로써 PDA의 고유의 특성을 이용하고 또 이에 알맞은 PDA환경에서 전문적인 저작도구를 개발하는 것이 필요하다. 따라서 PDA와 같은 제한된 스크린 사이즈와 메모리 공간에서 작은 메모리를 사용하여 얼마나 풍부한 컨텐츠가 저작가능한가 하는 것이 아주 중요하다 본 논문은 PDA환경에서 기하객체와 텍스트, 이미지 등 객체들을 이용하여 MPEG-4 컨텐츠 저작함에 있어서 기존의 저작도구의 기초 위에서 PDA환경의 고유 특성을 고려하여 BIFS 텍스트 생성 모듈, BIFS 인코더 모듈. 멀티플렉서 모듈에 대한 최적화 기법을 연구하며 더 나아가서 PDA환경에 보다 적합하면서도 직접적이고도 시각적인 저작이 가능한 MPEG-4 컨텐츠 저작시스템을 제안하고 그 개발 결과를 보인다.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.692-695
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• 2010

본 논문에서는 정보교과에서 알고리즘 및 프로그래밍 관련 학습을 진행하는데 있어서, 기존의 텍스트 기반 프로그래밍과 로보틱스 프로그래밍으로 프로그래밍 학습을 하였을 때의 학습 효과에 대해서 분석하였다. 연구는 초등학교 고학년 학생들을 대상으로 하였고, 학습에 필요한 학습 프로그램은 기존 텍스트기반 프로그래밍 학습 도구로는 Visual C를, 로보틱스 프로그래밍 학습도구로는 MSRDS(Microsoft Robotics Developer Studio)에서 제공하는 Visual Programming Language를 이용하였다. 그 결과 학생들의 흥미도와 몰입도가 상승하였고, 알고리즘 이해도와 과제 수행 능력이 증가하였음을 확인할 수 있었다. 본 연구에서 제안하는 로보틱스 프로그래밍 학습은 개정 교육과정에서 제안하는 알고리즘을 통한 문제해결능력 신장에 도움이 될 것으로 기대한다.

• Annual Conference on Human and Language Technology
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• 1996.10a
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• pp.424-429
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• 1996

본 논문에는 일반문서를 대상으로 하여 그 문사를 하이퍼텍스트(hypertext)로 자동변환하는 기법을 제안하고자 한다. 자동변환의 과정은 대상 문서에서 키워드(keyword)의 인식, 문서를 노드(node) 단위로 분리, 키워드로부터 노드로의 링크(ink) 생성의 3 단계로 이루어 진다. 기존의 연구에서는 문서에서 노드를 분리하는데 구문적 유사도만을 이용하는데, 본 논문에서는 양질의 하이퍼텍스트를 생성하기 위하여 구문적 유사도(syntactic similarity)뿐만 아니라 의미적 유사도(semantic similarity)를 사용한다. 구문적 유사도는 tf*idf와 벡터 곱(vector product)을 이용하고, 의미적 유사도는 시소러스(thesaurus)와 부분부합(partial match)을 이용하여 계산되어 진다. 또 링크 생성시 잘못된 링크의 생성을 막기 위하여 시소러스를 이용하여 시소러스에 존재하는 용어에 한해서 링크를 생성한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.259-261
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• 2016

본 연구는 교양교육에 대한 학습 수요자의 요구와 현재 편성되어 있는 교양교육 교과목들에 대한 차이를 알아본다. 학습 수요자의 다양한 생각들을 SNS를 통해 데이터를 수집하고, 텍스트 마이닝 기법을 이용하여 유용한 정보를 발견하고 시각화 분석을 통해 학습자의 요구를 제시한다. 분석 결과로는 학습자는 교수자와 상호작용 잘되는 수업 방식, 학습자가 참여할 수 있는 수업, 자기주도 학습을 선호하였다. 또한 교양교육 교과목 개설로서는 취업에 필요한 외국어, 자격증 취득이 가능한 과목, 실생활에 적용할 수 있는 실용적인 과목들을 요구하여 실제 균형에 맞게 개설된 교과목과는 차이를 보임을 알 수 있었다.