• 한국데이터정보과학회:학술대회논문집
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• 2003.05a
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• pp.57-63
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• 2003

시대적으로 요구되는 수요자(학습자) 중심 교육의 구현과 교육 공급자(학교)는 학습자의 적성, 능력, 흥미, 진로에 부합하는 교육과정을 개방하고 이에 적합한 교육환경을 제공하여 학습 주체인 학습자가 교육을 통해 생활에 필요한 능력과 적성에 맞는 진로를 찾을 수 있도록 교육과정을 운영하는 것이 제7차 교육 과정의 핵심이다. 1997년부터 시행되어 2002년 고등학교에서 처음 실시한 수학과교육과정 속의 초등 및 중등학교 통계교육과정의 개요와 특성을 살펴보고 문제점을 제시한다.

• Journal of Convergence for Information Technology
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• v.8 no.5
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• pp.145-152
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• 2018

The paper aims to present the direction in which accounting education should proceed to enhance the expertise of accounting works in the new era in which big data is the center. This paper examines the definition and analysis of big data, and reviews the effectiveness through big data development in accounting expertise with specific references. Also, this paper presents some of the plans selected by professional accounting bodies and universities to address the topic of big data in the accounting curriculum. According to the plan, big data could provide a blueprint for the future role of accounting and financial experts. Therefore, what this study suggests is to improve educational content by adding big data topics to current accounting curricula in order to help accounting professionals of future generations prepare for technologies related to big data analysis in advance.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.23-29
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• 2020

Data generated by the development of ICT, the diversification of ICT devices and services and the expansion of social media are categorized as big data characterized by the amount, variety and speed of the data. The spread of the use of big data is expected to have the effects of identifying the status quo by analyzing data in all industries, predicting the future, and creating opportunities to apply it. However, while it is imperative for these things to be done, the nation still lacks professional training institutions or curricula. In this case study, we will investigate and compare the state of education for the training of big data personnel in Korea, find out what level and level of education is being trained to nurture balanced professionals, and prepare an opportunity to think about how it can help students create value at a time when the need for education is growing in the wake of awareness of big data.

• Journal of Creative Information Culture
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• v.5 no.3
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• pp.215-223
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• 2019

The wave of the information age gradually accelerates, and fusion analysis solutions that can utilize these knowledge data according to accumulation of various forms of big data such as large capacity texts, sounds, movies and the like are increasing, Reduction in the cost of storing data accordingly, development of social network service (SNS), etc. resulted in quantitative qualitative expansion of data. Such a situation makes possible utilization of data which was not trying to be existing, and the potential value and influence of the data are increasing. Research is being actively made to present future-oriented education systems by applying these fusion analysis systems to the improvement of the educational system. In this research, we conducted a big data analysis on Twitter, analyzed the natural language of the data and frequency analysis of the word, quantitative measure of how domestic windows education problems and outcomes were done in it as a solution.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.289-300
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• 2021

SNS data was collected and analyzed by topic modeling techniques to examine recent trends in information education. By deriving keywords and topics for SW education and AI education, we not only attempted to discover insights ahead of the next revised curriculum but also suggested directions. According to the SNS data analysis, the contents of human resource development for software and the instructional method in schools are indicated as a high requirement. Meanwhile, SW education should be conducted through a separate curriculum from elementary school, and this was consistent with the opinion that it is necessary to be organized as a required subject. There was an opinion to support the schools since AI education is newly introduced in next revised national curriculum. The trends in SW education and AI education which are observed through SNS data analysis could be concluded to conduct the substantial operation of information education and curriculum organization.

• Journal of The Korean Association of Information Education
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• v.23 no.2
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• pp.131-139
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• 2019

From 2019, software education has become a required subject for all elementary school students. However, many teachers are still unfamiliar with how the classes should be instructed. So this paper presented the meaning, detailed competencies and achievement standard in order to help in the collection, analysis and representation of data among the computational thinking that are key to software education. And it also suggested the applicability of the classes. The full course of the paper is summarized as follows. First, existing studies have summarized the meaning, detail and achievement standard of data related competencies. Based on this, a preliminary investigation was instructed. Pilot study carried out both FGI and closed questions at the same time. This was done in response to the survey's questionnaire reflecting the opinions of experts. Second, the results of the questionnaire generated as a result of the above were verified for validity, stability, and reliability among the PhD, PhD courses, software education teachers, and software education workers. Third, I developed and applied the five lessons as a class objective as 'Choosing collection method-Select the collection method according to the problem situation.', 'Searching for meaning of data-Understand what the analyzed data mean..', 'Using various expression methods-Use a variety of expression tools.' using the backward design model to integrate education, class, and assessment. As a result, the detailed competencies of data collection, analysis, and representation and achievement standard were presented. This may help in setting specific and specific criteria for what direction classes are recommended when planning data-related classes in elementary schools.

• Journal of Fisheries and Marine Sciences Education
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• v.12 no.2
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• pp.176-190
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• 2000

It is possible to construct the more improved communication network quality due to practical use of data network using the redundant frequency bandwidth of CATV network. And the multimedia remote educations under the CATV network environment are being tried in the secondary schools. In general, CATV network is able to support not only the remote education using multimedia contents but also real-time responses because the network of CATV has capability to have transmission speed from 256Kbps to l0Mbps. In this paper, we design a new model of the efficient remote education by analysis of the multimedia data transmission capability using CATV network and suggest a method which can be applied specifically.

• Proceedings of The KACE
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• 2017.08a
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• pp.143-145
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• 2017

최근 IT 기술이 발전함에 따라 교육형태도 많이 발전되고 있다. 특히 IT 기기를 활용할 수 있는 온라인 교육에 집중되고 있다. 온라인 교육 시스템 중 하나인 MOOT(Massive Open Online Textbook)이 주목받고 있다. MOOT는 텍스트 중심의 교육 기반이며, 온라인 교재 내에 실습환경이 있어 언제 어디서나 학습자가 자기주도적인 학습을 할 수 있도록 도와준다. 온라인을 통해 학습하기 때문에 수많은 학습자의 학습현황을 쉽게 파악할 수 없는 문제점이 제기되었다. 따라서 본 논문에서는 데이터 결과를 한 눈에 파악할 수 있도록 시각화를 제안하여, MOOT시스템 내에서 학습한 고려대학교 343명의 학생 데이터를 기반으로 학습자 데이터 시각화를 설계하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.250-252
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• 2006

본 논문에서는 근래에 폭발적인 성장을 하고 있는 1인 미디어의 대량의 데이터 가운데서 양질의 정보를 집중적으로 관리하고 효과적인 검색기능을 지원하는 그룹형 커뮤니티 시스템을 구축하기 위하여 메타데이터를 활용하는 것을 제안한다. 이를 위해 특별히 교육정보 만을 대상으로 하여 여기에 사용될 메타데이터 기술 요소를 개발하고 교육용 데이터에 적용 가능한 적정 카테고리를 개발하였으며 이를 검증하기 위하여 그룹형 교육 커뮤니티 EduLOG(Educational blog) 서비스를 구축하였다. 이 시스템은 새로운 교육용 커뮤니티를 개설하는 것이 아니라 기존의 많은 사용자층을 가지고 있는 1인 미디어를 활용하여 유용한 정보를 생성해 내고 공급하는 것이 가능하다는 것과 나아가 메타데이터 요소의 활용에 의해 인터넷 상에서 정확성과 신속성을 지원하는 검색 시스템 구축이 가능하다는 것을 보여준다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1234-1237
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• 2013

빅데이터의 중요성이 부각되고 있는 빅데이터의 시대에 교육서비스시장은 스마트 교육이라는 새로운 변화에 따라 많은 변화가 일어나고 있다. 자기 주도적이며 개인화되고 쌍방향커뮤니케이션 등의 특징을 가진 스마트러닝 환경에서는 LMS와 LCMS의 역할이 점점 중요해지고 있다. 현재 콘텐츠의 중요성이 부각되는 정보홍수 시대이므로 LCMS가 해야 할 역할이 크다. 그러나 아직까지는 교육서비스에서 빅데이터의 아키텍쳐와 대용량 데이터 처리 기술을 활용하고 있는 사례는 그다지 많지 않다. 이에 본 논문에서는 빅데이터 기술을 활용한 LCMS에 대해 분석하고 새로운 방안을 제시하고자 한다.