• 한국융합학회논문지
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• 제10권11호
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• pp.275-282
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• 2019

미래 사회를 살아가야 하는 청소년들에게 사회성은 매우 중요한 역량 중 하나이다. 이 연구는 학생들의 사회성 향상을 위한 대안적 교육방법의 하나로 스마트 기기를 활용한 포럼연극 수업을 제안하고, 이 수업이 사회성 향상에 미치는 효과를 확인하는 것을 목적으로 한다. 연구의 목적을 달성하기 위하여 '디지털 매체 활용 포럼연극 수업설계'를 위한 절차적 모형에 기반하여 수업을 설계 실행한 후 사회적 기술 척도를 활용하여 수업의 효과를 확인하였다. 연구결과, 스마트 기기를 활용한 포럼연극 수업은 총 6차시로 구성('주제 공유하기', '팀빌딩하기, 운영 계획서 작성하기', '문제상황극 시나리오 작성하기', '콘티 작성하기', '문제상황극 상영: 촬영하기', '문제상황극 재상연 및 개입하기') 할 수 있으며, 학생들의 사회적 기술 향상에 긍정적인 영향을 미칠 수 있는 것으로 확인(대응표본 t-test 결과 사회적 기술의 하위 7가지 전 영역에서 모두 유의수준 .05에서 유의미한 차이 발생) 되었다. 참여 학생들의 면담결과를 반영하여 향후 수업의 개선 및 효율적 활용을 위한 필요사항을 제안하였다.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.59-66
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• 2022

Students can successfully connect with one another thanks to the introduction of Web 2.0 and the tools and technology linked with it. The fact that rising digital tools are systematically influencing the education system is not a secret. The purpose of the research article efficiently evaluates the influence of incorporation of media in the activities of the scientific library of the higher education institution. The research Methodology is the Concepts, techniques, and procedures to effectively inculcate primary and secondary data to conduct the research effortlessly. It's worth noting that in this case, quantitative primary research was provided in the form of a survey. The researchers have proposed a survey in order to successfully instil a comprehensive view on the "incorporation of media in the operations of the scientific library of higher education institutions." As a result, fifty-one higher education institution principals were asked to attend this session. This is necessary to understand that they are both well-educated and cognizant of the impact of technology innovation on schooling. As a result, the researchers were able to gain a comprehensive view of this situation thanks to this survey. The results effectively showed that most of the participants believe that social media plays a vital role in shaping up higher education and at the same time they believe that the libraries of famous educational institutions must adapt as per the new educational trend so that teachers and students both can tap into its benefit.The practical significance of the result is manoeuvred by the efficient survey analysis and at the same time, peer-reviewed journals have been employed to put forward authentic information. Therefore, efficient insight regarding this topic has been gathered by the researchers.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2014년도 제49차 동계학술대회논문집 22권1호
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• pp.307-308
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• 2014

본 논문은 대학에서의 팀 프로젝트 학습이 어떻게 수행되고 있는지를 고찰한 것이다. 논의된 결과, 학생들은 조별 활동을 함에 있어서 SNS를 적극 활용함을 알 수 있었다. 이는 주제의 선정이라든지 각자의 역할을 수행하기 위해서는 시공간의 제약을 극복해야 하기 때문이다. 또한 팀 프로젝트를 발표하는 과정에서 학생들은 주제에 맞는 다양한 시청각 자료들을 활용함을 알 수 있었다. 이는 팀 프로젝트를 수행하는 과정에서 요청되는 커뮤니케이션의 극대화를 위한 최선의 전략이기 때문이다.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2019년도 춘계종합학술대회
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• pp.179-180
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• 2019

Nowadays, clustering algorithm is considered as a promising solution for lacking human-labeled and massive data of social media sites in numerous machine learning tasks. Many researchers propose disaster event detection systems have ability to determine special local events, such as missing people, public transport damage by clustering similar tweets and hashtags together. In this paper, we try to extend tweet hashtag feature definition by applying word embedding. The experimental results are described that word embedding achieve better performance than the reference method.

• 한국컴퓨터정보학회논문지
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• 제28권3호
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• pp.67-73
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• 2023

COVID-19의 영향으로 약 2년 1개월에 걸친 사회적 거리두기의 조치로 ICT 요소기술을 활용한 비대면 서비스들이 교육 분야뿐만 아니라 전분야로 확대되고 있다. 특히 메타버스(Metaverse) 플랫폼을 활용한 교육 프로그램들이 여러 분야로 확산되면서 교육자와 학습자가 에듀테크(Edutech)를 활용한 학습 경험이 많아지고 있지만 교육에 대한 몰입도나 집중력 저하 등 비대면 학습을 통한 문제점을 제기하고 있다. 본 논문에서는 비대면 학습을 통해 제기되고 있는 문제점을 극복하고 메타버스 기반 실감미디어 디지털 콘텐츠를 개발하여 교육 환경을 개선하고자 몰입형 메타버스 기반으로 VR(Virtual Reality)을 활용하여 군에서 필요로 하는 교육/훈련 콘텐츠와 교육환경을 구축하였다. 본 논문에서는 실제로 군 교육/ 훈련에 투입되는 학습자에게 HMD(Head Mounted Display)를 활용하여 가상환경에서 몰입도와 집중도를 높일 수 있도록 교육콘텐츠에 대한 시스템을 제시했으며, 교육훈련에 필요한 장비들을 실사화하여 몰입도를 더욱 향상시켰다.

• 한국환경교육학회지:환경교육
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• 제9권1호
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• pp.39-57
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• 1996

All kinds of environmental problems are related to each local and geographical environment. For this reason, it is necessary for schools in each region to provide environmental education which suits the geographical character of their particular region. In order to provide solutions to the environmental problems of each school's geographic region, the goal of this research is as follows: 1. We can make students realize the relationship between the human race and the environment by teaching according to the environmental conditions in each local area. 2. By teaching students about the problems in their own local environment, we can increase their concern about the state of their local surroundings. 3. When teaching about the environment, it is useful to use educational material which suits the character of each local region. 4. Students' interest in environmental preservation can be aroused through extracurricular environmental activities. The ares concerned are Chonnam and Kwangju City, which are divided into urban, industrial, rural, coastal, and mountainous areas. The conclusion about considering environmental education in environmental school social studies is as follows: 1. Kwangju and Chonnam should be divided into five sections, each with similar geographical environments. This will be an improvement over the old uniform approach to environmental studies in which all regions were treated as being the same each region will now receive special attention. 2. It is necessary to maximize the efficient use of the Environmental Education Building. When Media, environmental data and special materials for environmental education are used effectively, teachers can lead class effectively and students will be more interested in the class. 3. We can detect the cause of pollution, increase interest in the environment and easily solve environmental problems by collecting and displaying environmental educational materials. 4. An environmental education corner could boost students' interest in environmental problems and could act as a kind of bridge between theoretical and practical education. 5. Media and environmental data must be specialized according to the geographic character of each region. In this way, we can expect to improve the quality of environmental education over the simplistic environmental education of previous years. 6. Students will become interested in the problems of the region in which they live through social studies, and primarily through the environmental curriculum. 7. We can prevent learning deficiencies by making a consistent teaching plan. The teaching and learning methods will be improved and the teachers will be proud of what they teach. 8. The purpose of the Education Procedure Content Analysis is to make teaching and learning concise and easy by systematizing environmental and related subjects. This can be done by adding an environmental unit to the geographic section of social studies. 9. Citizens' interest in their own residential environment can be increased through action by sustaining environmental preservation movements to local region people.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.294-300
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• 2021

The current society relies upon social media on an everyday basis, which contributes to finding which of the following supervised machine learning algorithms used in sentiment analysis have higher accuracy in detecting Malay internet slang and short forms which can be offensive to a person. This paper is to determine which of the algorithms chosen in supervised machine learning with higher accuracy in detecting internet slang and short forms. To analyze the results of the supervised machine learning classifiers, we have chosen two types of datasets, one is political topic-based, and another same set but is mixed with 50 tweets per targeted keyword. The datasets are then manually labelled positive and negative, before separating the 275 tweets into training and testing sets. Naïve Bayes and Random Forest classifiers are then analyzed and evaluated from their performances. Our experiment results show that Random Forest is a better classifier compared to Naïve Bayes.

• International Journal of Computer Science & Network Security
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• 제22권12호
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• pp.160-170
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• 2022

COVID pandemic has reshaped the world as it has been known to us and the education system is one of the most affected by it. Due to social distancing, quarantines and isolations have made it impossible for the knowledge transition to the masses using conventional methods. For cope with pandemic, the only other way available for some of the fortunate countries is the use of E-learning having somewhat the same traditional teaching method. This paper is concerned with the study of the preparedness of the learning system in some Sudanese universities due to the impact of the COVID-19 pandemic. Critical analysis has been performed to evaluate the current developing scenario, usage of the facilities available in open-source platforms, and the interaction of the universities folks with e-learning systems. The impact of such measures has been thoroughly investigated in this paper for Sudan which is already deprived of a proper education system. The investigation shows that the interact of the staff and the students with the system was acceptable where more than 85% of those enrolled to the system were interact properly and efficiently. The lecturers conducted through the platform were attended with more than 75% of the students. We also found that most of the lecturer were avoid to exam students by utilize the platform; where only 45% of the uploaded courses were conducted exams over Moodle platform. As Moodle is an open source and still need to be improved to be used for high examination credibility.

• 디지털융복합연구
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• 제15권9호
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• pp.87-97
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• 2017

본 연구는 언론보도에 따라 소비자들의 이동통신비에 대한 인식에 어떤 변화가 발생하는지를 실험 연구를 통해 검증하고 이에 대한 정책적 시사점을 제시하였다. 무작위로 선발된 대상자를 4개의 집단(통제집단, 고비용 언론보도 노출 집단, 저비용 언론보도 노출 집단, 동시 노출 집단)에 배정한 후 언론보도에 대한 신뢰성 및 중립성, 자신의 생각과의 일치정도, 이동통신비에 대한 인식을 측정하였다. 분산분석 결과, 소비자들은 저비용 언론보도보다 고비용 언론보도를 더 신뢰하고 중립적이라고 평가하였다. 그러나 공변량 분석으로 통해 언론보도와 자신의 생각과의 일치 정도를 제거할 경우, 분산분석에서 나타났던 신뢰성과 중립성의 차이는 사라짐을 확인하였다. 또한 소비자들은 언론보도와 무관하게 이동통신비가 비싸다는 인식을 가지고 있었으며, 이동통신비가 비싸다는 기존의 인식이 새로운 정보를 받아들이지 못하게 방해하고 있음을 확인할 수 있었다. 따라서 가계통신비 인하에 대한 사회적 압력을 해소하기 위해서는 이동통신비가 비싸다는 소비자들의 고정관념을 변화시켜야 할 것이며, 프레이밍을 활용한 향후 연구도 고려할 수 있다.

• International Journal of Computer Science & Network Security
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• 제23권10호
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• pp.97-106
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• 2023

Sentiment analysis using social network platforms such as Twitter has achieved tremendous results. Twitter is an online social networking site that contains a rich amount of data. The platform is known as an information channel corresponding to different sites and categories. Tweets are most often publicly accessible with very few limitations and security options available. Twitter also has powerful tools to enhance the utility of Twitter and a powerful search system to make publicly accessible the recently posted tweets by keyword. As popular social media, Twitter has the potential for interconnectivity of information, reviews, updates, and all of which is important to engage the targeted population. In this work, numerous methods that perform a classification of tweet sentiment in Twitter is discussed. There has been a lot of work in the field of sentiment analysis of Twitter data. This study provides a comprehensive analysis of the most standard and widely applicable techniques for opinion mining that are based on machine learning and lexicon-based along with their metrics. The proposed work is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous, and polarized positive, negative or neutral. In order to validate the performance of the proposed framework, an extensive series of experiments has been performed on the real world twitter dataset that alter to show the effectiveness of the proposed framework. This research effort also highlighted the recent challenges in the field of sentiment analysis along with the future scope of the proposed work.