• Korean Educational Research Journal
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• v.43 no.1
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• pp.1-27
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• 2022

As the COVID-19 virus became prevalent worldwide, non-face-to-face contact was implemented in various ways, and the education system also began to draw much attention due to rapid non-face-to-face contact. The purpose of this study is to analyze the direction of non-face-to-face education in line with the continuously changing educational environment to date. In this study, data were visualized using Textom and Ucinet6 analysis tool programs to collect social network big data with various opinions. As a result of the study, keywords related to "COVID-19" were dominant, and keywords with high frequency such as "article" and "news" existed. As a result of the analysis, various issues related to non-face-to-face education, such as network failures and security issues, were identified. After the analysis, the direction of the non-face-to-face education system was studied according to the growth of the education market and changes in the educational environment. In addition, there is a need to strengthen security and feedback on teaching methods in non-face-to-face education analyzed using big data.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.463-471
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• 2020

Humanity faces the fourth industrial revolution, a time of technological revolution by the collaboration of various industries including the fields of artificial intelligence(AI) and big data. Many countries are focused on fostering AI talent to prevail in the coming technological revolution. While Korea also provides some strategies to enhance the cultivation of AI talent, it is still difficult for Korean undergraduate students to get involved in AI studies. Through on the implementation of 'Big data analysis based AI education', which allows an easier approach to AI education, this paper examined the changes in the attitudes of undergraduate students regarding general AI education. 'Big data analysis based AI education' was provided at undergraduate level for 5.5 weeks (15 hours). The attitudes of undergraduate students were analyzed by pre-postmortem. The results showed there was a significant improvement in confidence and self-directed in regard to receiving AI education. With these results, further active research to develop basic AI education that also increases confidence and self-initiative can be expected.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.305-312
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• 2015

In Korea, institutions and universities to educate and train Bigdata manpower are not yet much. There are various causes, but major cause among them is lack of understanding and perception on Bigdata. Therefore, this study investigated the situation regarding the recognition on Bigdata of universities' faculties and presented a direction for educating Bigdata manpower at the university. As a result, it was investigated that their awareness about the impact of Bigdata is not so great, despite of the somewhat understanding for the Bigdata. In particular, it was investigated that their intentions of research and education for Bigdata are not high. So, for a while, it was identified that Bigdata specialist training will not be easy. In conclusion, this study suggested that the government should pay its attention more on policy for Bigdata manpower training policy of the universities according to direction of the government 3.0 policy that considers the Bigdata to the axis of the major policy.

• Journal of The Korean Association of Information Education
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• v.26 no.6
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• pp.543-552
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• 2022

This study tried to analyze the social perception of news coverage on inclusive education by using big data analysis techniques. News articles were collected according to the 5-year policy period for the development of special education, and news big data was analyzed. As a result, the frequency of media reports during the five-year policy period of special education development from 1998 in the first year to 2022 in the fifth year was steadily increased. During this period, the top topic words in news coverage changed from words conceptualizing simple definitions to words expressing the active will of students with disabilities for the actual right to education. In addition, as a result of emotional analysis of the overall keywords in the inclusive education news coverage, it was found that the positive word ratio was high. Through this study, it can be seen that interest in news coverage on inclusive education is increasing quantitatively in accordance with changes in special education policies, and the demand for inclusive education is being concreted in the direction of guaranteeing the actual right to education of students with disabilities.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.7
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• pp.791-797
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• 2014

In order to create an environment for Apache Hadoop for parallel distributed processing system of Bigdata, by connecting a plurality of computers, or to configure the node, using the configuration of the virtual nodes on a single computer it is necessary to build a cloud fading environment. However, be constructed in practice for education in these systems, there are many constraints in terms of cost and complex system configuration. Therefore, it is possible to be used as training for educational institutions and beginners in the field of Bigdata processing, development of learning systems and inexpensive practical is urgent. Based on the Raspberry Pi board, training and analysis of Big data processing, such as Hadoop and NoSQL is now the design and implementation of a learning system of parallel distributed processing of possible Bigdata in this study. It is expected that Bigdata parallel distributed processing system that has been implemented, and be a useful system for beginners who want to start a Bigdata and education.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.51-58
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• 2015

The utilization of Big data in the field of education has spread around the developed countries. However, in Korea, there are only experimental approaches related to Bigdata, yet for the related researches and services to appear. Therefore, it is the situation that needs to understand the reason for poor use of big data in the e-Learning industry, study and seek out alternatives to solve these problems. The result of this study shows that it was investigated that the high level of understanding of Bigdata has recognized large impact on e-Learning of Big Data and the more large-scale sales companies have recognized large impact on e-Learning of Big Data in the e-Learning industry. In conclusion, this study makes a proposal to expand the training and utilization policies of Bigdata relating to different sales scales.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.25-33
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• 2015

In Korea, despite the increase in demand for Bigdata manpower, institutions and universities to educate and train Bigdata manpower are not yet much. Therefore, this study investigated the status regarding the recognition on Bigdata of universities students and presented a direction for educating Bigdata manpower at the university. In order to accomplish this purpose, this study surveyed and analyzed the students' understanding of Bigdata, the awareness of the students about the social impact of Bigdata, the learning intention of the students on Bigdata and presented Implications for Bigdata workforce development. As a result, despite of the somewhat difference in understanding for the Bigdata, it was found that their awareness about the impact of Bigdata is very positive. And this study showed the need of universities' and government' political effort for Bigdata workforce development, because it was investigated that students' intentions of learning for Bigdata is proportional to students' understanding levels and learning experience for Bigdata.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.473-481
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• 2020

Data science starts with small data analysis and includes machine learning and deep learning for big data analysis. Data science is a core area of artificial intelligence technology and should be systematically reflected in the school curriculum. For data science education, The Entry also provides a data analysis tool for elementary education. In a big data analysis, data samples are extracted and analysis results are interpreted through statistical guesses and judgments. In this paper, the big data analysis area that requires statistical knowledge is excluded from the elementary area, and data science education examples focusing on the elementary area are proposed. To this end, the general data science education stage was explained first, and the elementary data science education stage was newly proposed. After that, an example of comparing values of data variables and an example of analyzing correlations between data variables were proposed with public small data provided by Entry, according to the elementary data science education stage. By using these Entry data-analysis examples proposed in this paper, it is possible to provide data science convergence education in elementary school, with given data generated from various subjects. In addition, data science educational materials combined with text, audio and video recognition AI tools can be developed by using the Entry.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.644-647
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• 2020

최근 교육분야에서는 IT 기술을 활용하여 교육을 혁신하는 것을 의미하는 에듀테크에 대한 관심이 높아지고 있다. 단순한 지식의 전달이 아닌 사용자의 수준에 맞춰진 학습을 하고 자신의 학습 내용을 스스로 모니터링할 수 있는 새로운 교육시스템이 필요하다. 이에 본 논문에서는 빅데이터를 활용한 영어학습 애플리케이션를 제안한다. 제안하는 애플리케이션은 영어뉴스 기사에서 추출한 빅데이터를 활용하여 사용자 수준에 맞춘 유용한 문장을 분석해 자동으로 문제를 생성하고 사용자의 음성데이터를 강세 분석 알고리즘으로 원어민 발음과 비교분석 하여 발음 및 강세를 교정할 수 있도록 설계 및 구현하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1272-1275
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• 2015

최근 관심이 증대되고 있는 빅데이터 분석 및 처리를 위한 병렬분산처리 시스템은 대용량 서버가 필요하고 인프라 구축을 위해 고비용을 지불해야 한다. 이를 해결하기 위해 본 연구에서는 저렴한 라즈베리 파이로 클러스터를 구성하고, 하둡보다 빠른 속도의 처리를 제공하는 아파치 스파크를 분석 솔루션으로 하는 빅데이터 분석 플랫폼을 구축하였다. 구축한 플랫폼이 빅데이터 활용을 위해 적절한 성능을 보이는지 확인하기 위해 텍스트 마이닝을 수행하였고, 분석 결과 유효한 성능을 보였다. 적절한 비용으로 빅데이터 분석이 가능해지면서 중소기업과 개인, 교육 기관에서도 빅데이터 활용이 가능해지면서 활용 분야가 크게 확대될 것으로 보인다.