• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.543-550
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• 2019

In 2006, Janet Wing defined computational thinking and operated SW education as a formal curriculum in the UK in 2013. This study collected related research papers by using computational thinking, which has recently increased in importance, and analyzed it using text mining. In the first, CONCOR analysis was conducted with the keyword of computational thinking. In the second, text mining of the components of computational thinking was selected by the repr23esentative academic journals at domestic and foreign. As a result of the two-time analysis, first, abstraction, algorithm, data processing, problem decomposition, and pattern recognition were the core of the study of computational thinking component. Second, research on convergence education centered on computational thinking and science and mathematics subjects was actively conducted. Third, research on computational thinking has been expanding since 2010. Research and development of the classification and definition of computational thinking and components and applying them to education sites should be conducted steadily.

• (The)Study of the Eastern Classic
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• no.36
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• pp.85-104
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• 2009

This study examines a study of communication factor in Lunyu, as a communication text, in terms of communicator, audience, message, communication factor, communication text, interdisciplinary research. In many respects, it is generally accepted that Lunyu have been the generic references of the Oriental culture. Lunyu consider ethics, logic, and practicability as the qualifying requirement of communicator, asserting that communicator should speak true language, like a "chuntzu"(君子) does, and should also put their language into practice. The audience's attitude and method as contained in Lunyu are that hearers should have sharp ears for language, hear selectively the right language, and use the language suitable to the situation. It is also emphasized that the Hearer should actively lead in the situation of transactional communications. In Lunyu, one property of message is that language, which determines the rise and fall of a nation and is also the basis of judgement for other people, should comply with ethics and reasons and sould also be put into practice. In other words, credible message, as the practice of language, is the practical requirement of ethics and the qualification of a "chuntzu"(君子, superior man) in ruling the nation or conducting one's life.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.3 no.2 s.5
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• pp.19-28
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• 2004

This paper shows how to compensate the skew from the traffic sign included in the natural image and extract the text. The research deals with the Process related to the array image. Ail the process comprises four steps. In the first fart we Perform the preprocessing and Canny edge extraction for the edge in the natural image. In the second pan we perform preprocessing and postprocessing for Hough Transform in order to extract the skewed angle. In the third part we remove the noise images and the complex lines, and then extract the candidate region using the features of the text. In the last part after performing the local binarization in the extracted candidate region, we demonstrate the text extraction by using the differences of the features which appeared between the tett and the non-text in order to select the unnecessary non-text. After carrying out an experiment with the natural image of 100 Pieces that includes the traffic sign. The research indicates a 82.54 percent extraction of the text and a 79.69 percent accuracy of the extraction, and this improved more accurate text extraction in comparison with the existing works such as the method using RLS(Run Length Smoothing) or Fourier Transform. Also this research shows a 94.5 percent extraction in respect of the extraction on the skewed angle. That improved a 26 percent, compared with the way used only Hough Transform. The research is applied to giving the information of the location regarding the walking aid system for the blind or the operation of a driverless vehicle

• Korean Journal of Cognitive Science
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• v.4 no.2
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• pp.5-28
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• 1994

In this thesis we attempt to analyze modern Korean poetic texts in the franmeworks of text limgisitics and cognitive pragmatics. Both frameworks describe and explai human verbal communicantion in terms of congnitive information-processing procedures.By utilizing analytical devices provided by seven standards of textuality we can analyze any type of text,especially in terms of the cognitive operations underlying the production and reception processes.It is clamed in cognitive pragmatic framework that human ostensive inforential communication is regulated by the Principle of Relevance.We claim that the relevance-based framework of pragmatics provides evidence and rationale for those cognitive operations identified in the text linguistic framework. poetic texts involve every kind of cognitive strategies and processing procedures underlying human verbal communication.So,if modern Korean poetic texts are satisfactorily analyzed by text linguistics and cognitive pragmatics,it means that both frameworks are very useful tools for analyzing texts and that all the other text types which are less complicated than poetic text will also be analyzed by these frameworks. Researchers of poetry,and poets,are sensitive to poetic effects.They feel more of poeticity while reading poetic texts than ordinary readers do.However,these researchers or poets sometimes give different interpretation of a single poetic text.The interpretation of poetry cannot be anything,because poets write poems with particular intertions and do not just throw them out so as to be interpreted at ramdom.This thesis suggersts that the poeticity felt by the reader can be described and accounted for in a scientific way.In other words,text linguistics and cognitive pragmatics enable the researchers of poetry to become objective in interpreting poetic texts. It will be clearly shown that we have to see poetic texts from a cognitive perspective,since they are by-products of cognitive processing performed by discourse participants.

• 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.