• Proceedings of the Korea Information Processing Society Conference
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• 2001.04b
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• pp.1041-1044
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• 2001

현재 웹 상에서 이루어지는 교육은 개별 학습자의 학습 기대 수준에 따라 주문형(customization)과 맞춤형(personalization)교육이 요구되고 있으나 대부분 웹을 통한 교육이 획일적 커리큘럼에 따라 진행되고, 동일한 형태의 피드백을 제공하고 있어 학습자 개개인의 수준에 맞는 컨텐츠의 제공과 적절한 피드백이 이루어지지 못하고 있다. 따라서 학습 효과를 높이기 위해서는 학습자 수준에 맞는 차별화된 컨텐츠를 구성하여 제공하여야 한다. 본 연구에서는 수준별 학습, 맞춤형 교육 서비스를 제공하기 위한 컨텐츠 구성방법에 관하여 논의한다. 양질의 맞춤형 컨텐츠를 구성하기 위해 컨텐츠를 영역별로 분류하여 모듈화하고, 맞춤형 컨텐츠를 효율적으로 관리하여 학습자의 지식영역별 습득정도를 파악하고, 학습자의 수준에 맞게 융통성이 있으며 동적으로 컨텐츠를 재구성함으로써 학습자에게 가장 적절한 컨텐츠를 추출하여, 반복 학습을 통한 교육의 질적 제고를 기대한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.652-654
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• 2001

웹 기반 교육(WBI)이 많은 장점을 가지고 있으나 한편으로는 웹 기반 수업 혹은 웹 기반 교육의 초기에는 교수자의 개인적인 수준에서 교육 시스템이 개발 운영되어 체계적으로 개발 관리되지 못하였고 교수-학습자의 요구사항을 충분히 반영하지 못하였다. 그리고 분산되어 있는 자료의 적절한 활용과 검색이 용이하지 못하여 중복 개발되고 신뢰성이 떨어지는 문제점등을 내포한다. 이 논문에서는 WBSE(Web Based Software Engineering)개념을 웹 기반 교육시스템에 도입하여 요구사항을 반영하고 기존에 개발되어 사용되고 있는 소프트웨어를 컴포넌트화 하는 작업을 시도하여 이를 재사용 통합함으로써 새로운 교육 소프트웨어 개발에 사용되는 일련의 과정에 대하여 연구 기술하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.92-96
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• 2006

WBES(Web-Based Education System for Programming Language)는 웹을 기반으로 한 프로그래밍 학습 시스템이다. 학습자와 교수자가 시스템적 공간적 제약에 구애 받지 않도록 하여 학습자에게는 자율적이고 효율적인 학습이 가능하도록 하고 교수자에게는 과제제출이나 성적부여에 편의성을 극대화 한다는 장점이 있다. 본 논문에서 제안하는 WBES의 구현으로 가상학습시스템의 실습교육환경 미 구축 문제를 해결하여 이론교육과 그에 따른 실습이 병행되도록 한다. 또한 교수자 일인당 많은 학습자가 존재하는 현재의 교육환경에서 과제제출과 채점, 성적부여에서 학습자를 개인단위로 관리해야 하는 어려움을 별도의 과정이나 번거로움 없이 해결한다. 향후 본 시스템은 사이버대학, 방송대학, IT교육기관 등의 가상교육 학습시스템의 컨텐츠로 활용 가능할 뿐만 아니라 점차 확대되고 있는 공학인증시스템에 도입되어 발전가능하다.

• Journal of Engineering Education Research
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• v.13 no.1
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• pp.78-86
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• 2010

Training Curriculum Integrated Information Network is allowed to searching the all curriculums and courses related with training but also is a one stop handling integrated learning system to cover a course registration, learning and analysis of learning performance. Through developing and managing the Training Curriculum Integrated Information Network, it is available to get the various curriculum thus it is for trainers able to enforce the self oriented course choice and then high quality of training could be proposed by the diverse training curriculums and competitions. To manage Training Curriculum Integrated Information Network more effectively, active public relations marketing activities, high reliable correct information service and rich contents are required. It is essential to manage the learner and learning contents supplier, stable financial resources, personal security issue and protecting a copyright of training curriculum to be a successful network system.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.691-693
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• 2002

현대 사회에서 수요자를 고려하지 않은 산업 형태는 거의 찾아볼 수 없다. 우리 교육 또한 학생 개개인의 능력을 출발점으로 하여 학생의 눈높이에 맞춘 교육을 바람직하게 여기는 추세로 변화하고 있다. 이렇게 볼 때 가장 이상적인 학습형태는 개별화 수업이다. 최근 데이터 압축 기술과 통신 기술의 발달로 동영상 데이터(video data)를 이용한 다양한 서비스가 가능하게 되면서 교육에서도 그 사용의 폭이 넓어지고 있다. 이에 따라 동영상 데이터를 효율적으로 저장, 관리할 수 있는 검색에 대한 연구가 활발하게 이루어져오고 있다. 본 논문에서는 동영상 데이터 검색방법의 하나인 주석기반 방식(text-based retrieval)을 이용하여 하나의 교육용 비디오를 장면분할(scene segmentation)하여 학습내용의 수준에 따라 상.중.하 색인을 한다. 이 색인된 비디오에서 수준별 개별학습이 가능한 가상의 비디오 시퀸스(video sequence)를 만들어낸다.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.427-441
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• 2017

The purpose of this research is to examine the effect EVE about culture & art education and social tendencies have on adult educatees eliminating controlled mechanisms. Quantitative research on those in their 40s and 50s was executed. The results show that there is a high correlation between GEVE and individualism, REVE and collectivism. GEVE has a higher influence on actualization of self-efficiency, FEVE on reignition of retained desires, REVE on substantialization of non-isolation, individualism on actualization of self-efficiency, and collectivism on substantialization of non-isolation. This research evokes the importance of an interdisciplinary and integrated understanding of EVE in culture & art education, educatees' social tendencies, and their psychological mechanisms. Also, it suggests the necessity of following research and practical adaptation related to developing programs, securing quantitative and qualitative appropriateness reflecting social requirements, and operation, evaluation, and management considering reciprocality.

• Journal of the Korean Society for information Management
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• v.23 no.4 s.62
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• pp.277-294
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• 2006

This paper examines a level of categorization performance in a real-life collection of abstract articles in the fields of science and technology, and tests the optimal size of documents per category in a training set using a kNN classifier. The corpus is built by choosing categories that hold more than 2,556 documents first, and then 2,556 documents per category are randomly selected. It is further divided into eight subsets of different size of training documents : each set is randomly selected to build training documents ranging from 20 documents (Tr-20) to 2,000 documents (Tr-2000) per category. The categorization performances of the 8 subsets are compared. The average performance of the eight subsets is 30% in $F_1$ measure which is relatively poor compared to the findings of previous studies. The experimental results suggest that among the eight subsets the Tr-100 appears to be the most optimal size for training a km classifier In addition, the correctness of subject categories assigned to the training sets is probed by manually reclassifying the training sets in order to support the above conclusion by establishing a relation between and the correctness and categorization performance.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.285-301
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• 2023

Due to the increasing demand and importance of non-face-to-face education, open online learning platforms are getting interests both domestically and internationally. These platforms exhibit different characteristics from online courses by universities and other educational institutions. In particular, students engaged in these platforms can receive more learner autonomy, and the development of tools to assist learning is required. From the past, researchers have attempted to utilize process mining to understand realistic study behaviors and derive learning patterns. However, it has a deficiency to employ it to the open online learning platforms. Moreover, existing research has primarily focused on the process model perspective, including process model discovery, but lacks a method for the process pattern and instance perspectives. In this study, we propose a method to identify learning patterns within an open online learning platform using process mining techniques. To achieve this, we suggest three different viewpoints, e.g., model-level, variant-level, and instance-level, to comprehend the learning patterns, and various techniques are employed, such as process discovery, conformance checking, autoencoder-based clustering, and predictive approaches. To validate this method, we collected a learning log of machine learning-related courses on a domestic open education platform. The results unveiled a spaghetti-like process model that can be differentiated into a standard learning pattern and three abnormal patterns. Furthermore, as a result of deriving a pattern classification model, our model achieved a high accuracy of 0.86 when predicting the pattern of instances based on the initial 30% of the entire flow. This study contributes to systematically analyze learners' patterns using process mining.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.1
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• pp.51-71
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• 2017

Approximately 10 million electronic approval documents have been released online since the commencement of the original information disclosure service. However, it is practically impossible to carry out an original information disclosure service by confirming a large amount of electronic approval documents to all persons in charge of information disclosure. Recently, some public organizations have been using private information filtering tools to filter personal information at the stage of document production, but the management of different sensitive information has not been managed using solutions. In this study, we set up the advanced direction of the filtering tool by analyzing the filtering tool in use to support the original information disclosure, and redesigned the text of the approval document and the original information disclosure process with the use of the filtering tool.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.11
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• pp.351-356
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• 2020

With the spread of COVID-19 infections, the need for next-generation learning management system for undact education is rapidly increasing, and the Ministry of Education is planning future education through the establishment of fourth-generation NEIS. If the fourth-generation NEIS System is well utilized, there are advantages such as providing personalized education services and activating the use of educational data, but a solution to the illegal access problem in an access control environment where strict authorization is difficult due to various user rights. In this paper, we propose a blockchain-based access control audit system for next-generation learning management. Sensitive personal information is encrypted and stored using the proposed system, and when the auditor performs an audit later, a secret key for decryption is issued to ensure auditing. In addition, in order to prevent modification and deletion of stored log information, log information was stored in the blockchain to ensure stability. In this paper, a hierarchical ID-based encryption and a private blockchain are used so that higher-level institutions such as the Ministry of Education can hierarchically manage the access rights of each institution.