• Title/Summary/Keyword: 발견학습

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Research on Mining Technology for Explainable Decision Making (설명가능한 의사결정을 위한 마이닝 기술)

  • Kyungyong Chung
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.4
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    • pp.186-191
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    • 2023
  • Data processing techniques play a critical role in decision-making, including handling missing and outlier data, prediction, and recommendation models. This requires a clear explanation of the validity, reliability, and accuracy of all processes and results. In addition, it is necessary to solve data problems through explainable models using decision trees, inference, etc., and proceed with model lightweight by considering various types of learning. The multi-layer mining classification method that applies the sixth principle is a method that discovers multidimensional relationships between variables and attributes that occur frequently in transactions after data preprocessing. This explains how to discover significant relationships using mining on transactions and model the data through regression analysis. It develops scalable models and logistic regression models and proposes mining techniques to generate class labels through data cleansing, relevance analysis, data transformation, and data augmentation to make explanatory decisions.

Mapping Categories of Heterogeneous Sources Using Text Analytics (텍스트 분석을 통한 이종 매체 카테고리 다중 매핑 방법론)

  • Kim, Dasom;Kim, Namgyu
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.193-215
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    • 2016
  • In recent years, the proliferation of diverse social networking services has led users to use many mediums simultaneously depending on their individual purpose and taste. Besides, while collecting information about particular themes, they usually employ various mediums such as social networking services, Internet news, and blogs. However, in terms of management, each document circulated through diverse mediums is placed in different categories on the basis of each source's policy and standards, hindering any attempt to conduct research on a specific category across different kinds of sources. For example, documents containing content on "Application for a foreign travel" can be classified into "Information Technology," "Travel," or "Life and Culture" according to the peculiar standard of each source. Likewise, with different viewpoints of definition and levels of specification for each source, similar categories can be named and structured differently in accordance with each source. To overcome these limitations, this study proposes a plan for conducting category mapping between different sources with various mediums while maintaining the existing category system of the medium as it is. Specifically, by re-classifying individual documents from the viewpoint of diverse sources and storing the result of such a classification as extra attributes, this study proposes a logical layer by which users can search for a specific document from multiple heterogeneous sources with different category names as if they belong to the same source. Besides, by collecting 6,000 articles of news from two Internet news portals, experiments were conducted to compare accuracy among sources, supervised learning and semi-supervised learning, and homogeneous and heterogeneous learning data. It is particularly interesting that in some categories, classifying accuracy of semi-supervised learning using heterogeneous learning data proved to be higher than that of supervised learning and semi-supervised learning, which used homogeneous learning data. This study has the following significances. First, it proposes a logical plan for establishing a system to integrate and manage all the heterogeneous mediums in different classifying systems while maintaining the existing physical classifying system as it is. This study's results particularly exhibit very different classifying accuracies in accordance with the heterogeneity of learning data; this is expected to spur further studies for enhancing the performance of the proposed methodology through the analysis of characteristics by category. In addition, with an increasing demand for search, collection, and analysis of documents from diverse mediums, the scope of the Internet search is not restricted to one medium. However, since each medium has a different categorical structure and name, it is actually very difficult to search for a specific category insofar as encompassing heterogeneous mediums. The proposed methodology is also significant for presenting a plan that enquires into all the documents regarding the standards of the relevant sites' categorical classification when the users select the desired site, while maintaining the existing site's characteristics and structure as it is. This study's proposed methodology needs to be further complemented in the following aspects. First, though only an indirect comparison and evaluation was made on the performance of this proposed methodology, future studies would need to conduct more direct tests on its accuracy. That is, after re-classifying documents of the object source on the basis of the categorical system of the existing source, the extent to which the classification was accurate needs to be verified through evaluation by actual users. In addition, the accuracy in classification needs to be increased by making the methodology more sophisticated. Furthermore, an understanding is required that the characteristics of some categories that showed a rather higher classifying accuracy of heterogeneous semi-supervised learning than that of supervised learning might assist in obtaining heterogeneous documents from diverse mediums and seeking plans that enhance the accuracy of document classification through its usage.

Exploring the Possibilities of Character Education in Various Interaction-based Mentor Program: Focusing on "Becoming a Science Teacher" Activity (다양한 상호작용 기반의 멘토멘티 프로그램에서 나타난 인성 교육 가능성 탐색 -"과학 선생님 되어보기" 활동을 중심으로-)

  • Kim, Sunhee;Shin, Donghee
    • Journal of The Korean Association For Science Education
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    • v.39 no.1
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    • pp.13-33
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    • 2019
  • The purpose of this study is to clarify the possibility of the character education and the concrete implementation process in the field of science education in accordance with the social demand for character education. Based on this purpose, the researchers tried to understand the specific character elements appearing in various science learning situations and to understand the qualities of each specific character elements that can be emphasized through science learning and the aspect of expression process in related learning situations. The researchers selected 11 students from the 7th and 8th graders in Seoul and developed and applied the 'Become a Science Teacher' mentor program in 2014 and 2015. Data collection was conducted through class recordings, mentor teachers' and assistant teacher's journal, artifacts, student journals, student portfolios, class listeners' essays for science class and analyzed qualitative data collected through constant comparison method. According to the result, we extracted 11 character elements and reorganized them into 16 specific character elements revealed in various learning situations based on the relationship between each character elements. The results of the study are eight specific character elements that can be emphasized through science learning and related learning situations. The eight specific character elements are 'responsibility for teaching behavior due to hierarchy of scientific knowledge structure, communication for forming scientific concept, empathic concern based on science learning experience, cooperation for promoting rationality of inquiry method, positive perception of scientific endeavor, respect for scientists' attitudes toward research, confidence in future scientific research, persistence in trial and error'. Based on the results of this study, we proposed the research methods of character in the field of science education in the future.

Application of Long-term Slow Thinking(Flow) to Improve Mathematical Thinking Ability in the Process of Solving a Basic Calculus Problem (미적분 문제해결 과정에서 수학적 사고력 향상을 위한 몰입적 사고의 적용)

  • Lee, Dong-Kwon;ChoiKoh, Sang-Sook;Hwang, Nong-Moon
    • Journal of the Korean School Mathematics Society
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    • v.11 no.1
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    • pp.31-54
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    • 2008
  • The discovery method is known to be the most effective in improving students' mathematical thinking. Recently, the long-term slow thinking(LST) is suggested as a possible method to implement the discovery method into the real classroom. In this concept, we examined whether students can solve such a problem, as appears to be beyond their ability, by themselves(LST) or not. 10 middle school students of the ninth grade were selected for the study, who had no previous experience on the infinite concept of calculus of the high school course. They had tried to solve a problem about the calculus by their LST for three days. Two of students solved the problem by themselves and seven of students solved it with help of hints. This result shows that if students are given the opportunity of LST for rather difficult mathematical problem with appropriate guidance of a teacher, they might solve it by themselves. That is, LST could be a possible method for implementation of the discovery method.

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Cancer subtype's classifier based on Hybrid Samples Balanced Genetic Algorithm and Extreme Learning Machine (하이브리드 균형 표본 유전 알고리즘과 극한 기계학습에 기반한 암 아류형 분류기)

  • Sachnev, Vasily;Suresh, Sundaram;Choi, Yong Soo
    • Journal of Digital Contents Society
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    • v.17 no.6
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    • pp.565-579
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    • 2016
  • In this paper a novel cancer subtype's classifier based on Hybrid Samples Balanced Genetic Algorithm with Extreme Learning Machine (hSBGA-ELM) is presented. Proposed cancer subtype's classifier uses genes' expression data of 16063 genes from open Global Cancer Map (GCM) data base for accurate cancer subtype's classification. Proposed method efficiently classifies 14 subtypes of cancer (breast, prostate, lung, colorectal, lymphoma, bladder, melanoma, uterus, leukemia, renal, pancreas, ovary, mesothelioma and CNS). Proposed hSBGA-ELM unifies genes' selection procedure and cancer subtype's classification into one framework. Proposed Hybrid Samples Balanced Genetic Algorithm searches a reduced robust set of genes responsible for cancer subtype's classification from 16063 genes available in GCM data base. Selected reduced set of genes is used to build cancer subtype's classifier using Extreme Learning Machine (ELM). As a result, reduced set of robust genes guarantees stable generalization performance of the proposed cancer subtype's classifier. Proposed hSBGA-ELM discovers 95 genes probably responsible for cancer. Comparison with existing cancer subtype's classifiers clear indicates efficiency of the proposed method.

A communicational approach to mathematical process appeared in a peer mentoring teaching method (학생 중심 동료 멘토링 교수법에서 수학적 과정에 대한 의사소통학적 접근)

  • Choi, Sang-Ho;Ha, Jeong-Mi;Kim, Dong-Joong
    • Communications of Mathematical Education
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    • v.30 no.3
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    • pp.375-392
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    • 2016
  • The purpose of this study is to provide a philosophical reflection on mathematical process consistently emphasized in our curriculum and to stress the importance of sharing creativity and its applicability to the mathematical process with the value of sharing and participation. For this purpose, we describe five stages of changing process in a peer mentoring teaching method conducted by a teacher who taught this method for 17 years with the goal of sharing creativity and examine components of mathematical process and their impact on it in each stage based on learning environment, learning process, and assessment. Results suggest that six principles should be underlined and considered for students to be actively involved in mathematical process. After analyzing changes in the five stages of the peer mentoring teaching method, the five principles scrutinized in mathematical process are the principles of continuous interactivity, contextual dependence, bidirectional development, teacher capability, and student participation. On the basis of these five principles, the principle of cooperative creativity is extracted from effective changes of mathematical process as a guiding force.

A Qualitative Analysis on the Characteristics of "Best Practice" in Mathematics (수학과 좋은 수업 사례에 대한 질적 분석)

  • Lee, Dae-Hyun;Choe, Seung-Hyun
    • Journal of the Korean School Mathematics Society
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    • v.9 no.3
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    • pp.249-263
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    • 2006
  • The purpose of this study is to investigate the characteristics of 'best practire' in mathematics and suggest some solutions to several problems emerging in mathematics classes of secondary schools. The study was carried out by using qualitative research methods such as class observations and in-depth interviews with six teachers. Based on the collected data, we could sort out the major patterns which characterize 'the good mathematics teaching' at schools in Korea. The common characteristics of best practice in mathematics are drawn out from the six cases. The common characteristics include revising the curriculum and text books, realistic mathematics education, using ICT and meta-cognition, introduction with motivation and interest, performance assessment and managing differentiated small group. Results implied that six teachers used a variety of instructional methods and strategies which is related with the common characteristics of good mathematics teaching. Also these teachers not only improved their own classroom practices but also participated in various professional community of mathematics education and shared their practical knowledge. In conclusion assorted efforts from the government and the school principals as well as the teachers are prerequisite for practicing and spreading good mathematics teaching across the classrooms.

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A prospective study on early English education and Korean children's English proficiency: When cognitive, personality and parental factors are controlled (조기영어학습이 유아의 영어능력에 미치는 영향: 인지, 성격, 부모요인을 통제한 전향적 연구)

  • Kim, Geunyoung;Kim, Yoo Ree;Park, Hyekyung;Kim, Gahee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.552-562
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    • 2016
  • Although a number of studies have been conducted in Korea since 2000 on the impact of early English education, their interpretation is still not conclusive, due to their lack of control groups and failure to control for third factors and use valid measurements. The present study was designed to examine the effect of an English education program on young children's English proficiency after 8 months using the most well-known official English proficiency measure, the WIDA for kindergarteners. In addition, the children's Korean language proficiency, cognitive abilities, personality, parents' SES, and parents' attitudinal variables before the education were measured and controlled. The results indicated that the intervention group performed better than the control group in both listening and speaking skills, even when all relevant factors were considered. This effect, however, was only found in the item-level analyses.

A Comparative Study of Actuality of Elementary and Middle School Teachers' Perception on Cyber Home Learning System (사이버 가정학습체제에 대한 초중등 교사의 인식실태 비교연구)

  • Jung, Ju-Young;Kim, Hyang-Sook
    • Journal of The Korean Association of Information Education
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    • v.11 no.3
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    • pp.339-347
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    • 2007
  • Along with developments of information and communication technologies, internet has spread not only all over the society, but also our everyday life deeply. Recently, requirements for e-learning using internet in the educational aspect have a great influence on the changes of school educations. Cyber Home Learning System, in particular, has been implemented throughout the nation for the purpose of reducing private expenditure for education and promoting substantial improvements in quality of public education. However, there have been exposed many problems with respect to quality of operations and managements of the system comparing to its quantitative growth, and so, at this point in time, researcher conducted analysis of actuality of perceptions of both elementary and middle school teachers with a focus on the case of S System in K province. To test this, total 278 participants were sampled from the elementary schools (139 teachers) and the middle schools (139 teachers) located in K province and were asked to complete a survey and the results therefrom were analyzed accordingly. Results from the analyses revealed that elementary school teachers responded more positively than other respondents in the most areas, including supply of a variety of learning contents of S System, quality of contents, and providing for helps insomuch as to complement school works, etcetera. In addition, researcher has found out that, to make the system become all the more efficient, it shall be required to establish a strategy in order to induce students' interest in the system, as well as to construct infrastructure for facilitating the use of computer. And that there are also needs for continuous supports from both the school and the education authority concerned, and for method of flexible operation of curriculum.

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The Effect of Using Analogies in High School Earth Science Classes (고등학교 10학년 과학 '지구의 변동' 단원에서 비유물 활용의 효과)

  • Kim, Sang-Dal;Kim, Jong-Hee;Lee, Ji-Eun
    • Journal of the Korean earth science society
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    • v.24 no.5
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    • pp.393-401
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    • 2003
  • The purpose of this study is to research the effect of using analogies in high school earth science classes. According to the usage of TWA model, three types of teaching strategies were developed: text developer-generated, teacher-generated, and student-generated analogies. The model described in this paper began with a task analysis of highschool science textbooks for grade 10 to identify how the textbook authors used analogies to explain plate tectonics concepts. In this study, 210 students were sampled from first graders of high school. After 7 classes, the consciousness of students was investigated with questionnaires. The results are as follows: 1. Many plate-tectonics analogies are used in high school science textbooks (total 25). Teachers and authors construct effective analogies to help students build on their relevant knowledge by applying it to new knowledge acquired from textbooks. 2. Analysis of the data indicate that instruction using student-generated analogies was more effective than others. But in the class in conveying complicated concepts (ex. transform fault), teacher-generated instruction was effective. Teachers need to be aware of the weakness of using analogies in order to select the most appropriate analogies. 3. Making analogies in general, as well as using analogies have systematic steps. Analogies should be used after considering student's preconception, teacher's consciousness and text author's intention to use analogies as powerful instructional tools.