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Problems and Development of Police Officials' Physical Fitness Tests (경찰공무원 체력검정의 문제점 및 발전방안)

  • Kim, Sang-Woon
    • The Journal of the Korea Contents Association
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    • v.19 no.8
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    • pp.609-619
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    • 2019
  • The study aims to present a solution to the problem of police physical fitness tests as police officers, who tried to subdue the drunk in a video clip titled "Darim-dong female police officer Assault" in May in Seoul, showed a rather lethargic figure, such as being pushed out of a physical fight with the suspect. The police physical fitness test is subject to criticism as it consists of items that are difficult to apply in real life despite having to be linked to job performance. The problem is that the physical fitness test events are not realistic, the physical fitness test standards are set too low, and their credibility is not reliable due to the imbalance of standards between men and women and the vision culture of physical fitness testing methods. First of all, we hope that the Republic of Korea will become a world-class security powerhouse by upgrading its physical fitness standards and establishing a scientific fitness test system for preventing injuries and effectively measuring physical strength.

The Knowledge and Education Needs of Nurses in Charge of Adequacy Evaluation in Small and Medium-Sized Hospitals (중소병원 적정성 평가를 담당하는 간호사의 지식 및 교육 요구도)

  • Nam, Sohee;Jeon, Jaehee;Heo, Yeon Jeong;Cho, Sumin
    • Journal of muscle and joint health
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    • v.28 no.1
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    • pp.18-29
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    • 2021
  • Purpose: This study examined the knowledge and education needs of nurses in charge of adequacy evaluation in small and medium-sized hospitals. Methods: Study participants included 198 nurses in charge of adequacy evaluation in small and medium-sized hospitals. Data were collected from November 19 to 28, 2020 through an online survey. The data were analyzed by independent t-test and one way ANOVA analysis using the SPSS. Results: The knowledge score for the adequacy evaluation of small and medium-sized hospitals was 11.61±4.10 (total of 20 points), and the educational demand was 3.87±0.88 points on a 5-point scale. Regarding the necessity of education for adequacy evaluation of small and medium-sized hospitals, 80.3% of the participants claimed education as being necessary. "Online video lectures" were the most preferred (22.7%) education method, and "2 times" was the most frequent education (47.0%); "1 hour" was the usual duration of class (48.5%). Conclusion: It is necessary to develop and apply an educational program reflecting the measure of educational needs to improve the knowledge level of nurses in charge of adequacy evaluation in small and medium-sized hospitals.

The Chronological Stages of Advanced Online Education (온라인 고등교육의 변화에 대한 단계별 고찰)

  • Kim, Hyunkyung
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.105-112
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    • 2020
  • This study categorized the developments of advanced online education in Korea, which have achieved rapid growth for past 20 years, and analyzed the characteristics of each stage. Starting from the introduction stage, which focused on video content and basic LMS, it went through a growth stage in which the transition from lifelong to advanced education institute, and the first online graduate program accreditation were achieved. In the maturity stage, the expansion of online graduate programs led to the spread of online real-time classes and seminars, and the introduction and proliferation of smart-phone also paved the way for smart learning. However, as the non-face-to-face teaching method was suddenly implemented as a whole due to the COVID-19 pandemic, online education has rapidly developed and also faced various problems to improve the quality of education. By analyzing and reviewing the trend, this study discussed the problems facing the current revolutionary period and what needs to be solved for future development.

Analysis of Emotions in Broadcast News Using Convolutional Neural Networks (CNN을 활용한 방송 뉴스의 감정 분석)

  • Nam, Youngja
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.8
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    • pp.1064-1070
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    • 2020
  • In Korea, video-based news broadcasters are primarily classified into terrestrial broadcasters, general programming cable broadcasters and YouTube broadcasters. Recently, news broadcasters get subjective while targeting the desired specific audience. This violates normative expectations of impartiality and neutrality on journalism from its audience. This phenomenon may have a negative impact on audience perceptions of issues. This study examined whether broadcast news reporting conveys emotions and if so, how news broadcasters differ according to emotion type. Emotion types were classified into neutrality, happiness, sadness and anger using a convolutional neural network which is a class of deep neural networks. Results showed that news anchors or reporters tend to express their emotions during TV broadcasts regardless of broadcast systems. This study provides the first quantative investigation of emotions in broadcasting news. In addition, this study is the first deep learning-based approach to emotion analysis of broadcasting news.

Satisfaction with Online Classes Due to COVID-19 Pandemic (COVID-19로 인한 전면 온라인 수업에 대한 만족도)

  • Kim, Soo-Jin
    • Journal of Convergence for Information Technology
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    • v.11 no.7
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    • pp.118-127
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    • 2021
  • This study aims to examine satisfaction of nursing students with online classes during first semester of 2020 after COVID-19 pandemic and the difference in satisfaction according to general and online-related characteristics. An online survey was conducted for all nursing students, and subsequently 627 responses were analyzed by t-test and ANOVA with SPSS WIN. Result reveals that students ability to use IT devices was above average, and most of them used laptop computers. Pre-recorded video lecture format was used the most, and improvement of online content was demanded the highest. Overall satisfaction with online classes was scored 3.0/5.0, with the highest satisfaction for anytime and anywhere learning, and the lowest satisfaction in recommending online classes to others. There were significant differences between self-evaluation on own grade, ability to use IT devices, format of online classes, and satisfaction about online classes. Through this study, it would be possible to suggest a plan to increase satisfaction of online class and basic data to establish university policy for online classes after COVID-19.

A Case of Engineering Team Project Execution in Uncontacted Classes (비대면 수업에서 공학 팀 프로젝트 수행 사례)

  • Kim, Eun-Gyung
    • Journal of Practical Engineering Education
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    • v.12 no.2
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    • pp.255-264
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    • 2020
  • In the database design course, the team project is a very important process to develop students' database design competencies. In order to carry out team projects smoothly, active interaction between students and the professor as well as collaboration among team members are very important. However, a full uncontacted class was suddenly decides in the first semester of 2020, it was questionable whether it would be possible to effectively manage this course, where team projects to construct database take up a big portion. However team projects were able to proceed without major problems through interaction using real-time video media such as zoom, and discussions, quizzes, and Q&A supported by the online education support system (LMS), and online presentations, mutual evaluations, and so on. This paper shares the experience of managing engineering team projects in uncontacted classes and based on three surveys introduces desirable improving directions of this instruction and some suggestions to improve uncontacted classes overall.

Assessment of Emergency Remote Teaching for Clinical Interview Skills due to COVID-19: Its Implication for Future Online Medical Education (코로나19로 인한 일개 의과 대학의 비대면 의료 면담 실습수업 사례 분석)

  • Lee, Sang-ok;Kim, Yoo-Ri;Kim, Sung-Soo
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.431-443
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    • 2022
  • The purpose of this study is to share and assess the experiences of the emergency remote teaching method adopted for the medical communication course at a medical school due to the COVID-19 pandemic. The standardized patients hired for this 'Emergency Remote Teaching (hereafter ERT)' course said that students' interactions with them were less enthusiastic and less realistic, However, in the one-on-one virtual practice, the students seemed to be more focused than in the existing face to face practice. There were no differences in the unit practice test scores between ERT and the face-to-face course while in the face-to-face final exam, the test scores of FTF students were statistically higher than those of the ERT students, which might have resulted from the different methodologies of teaching. Further research on the virtual medical communication course is necessary to prepare medical students for the adoption of the telemedicine which could be accelerated in the near future.

Characteristics of Pre-service Science Teachers' Reflection of Questions Considering the Context of Discourse (담화 맥락을 고려한 예비과학교사의 발문 반성 과정에서 나타나는 특징)

  • Sunghoon, Kim;Yousun, Jeon;Hunsik, Kang;Taehee, Noh
    • Journal of the Korean Chemical Society
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    • v.66 no.6
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    • pp.459-471
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    • 2022
  • The purpose of this study is to develop the workshop to improve teachers' questions considering the context of discourse. Four pre-service science teachers in the fourth grade participated in the study. Pre-service science teachers participated in the workshop. The characteristics of their reflection on the question considering the context of discourse were analyzed. Pre-service science teachers considered the types of questions they learned in the workshop during the reflection. But the affective domains of students were rarely considered. Whether the students respond was considered as an important factor of reflection. The questions were evaluated based on the frequencies. A single question without context was reflected on. Various PCK elements were not considered comprehensively. Based on the results, the practical implications to develop a program for improving teacher expertise related to the questions considering the context of discourse were discussed.

A Case Study about the Effects of Online PBL on Students' 4C Competencies (온라인 PBL이 학습자의 4C 역량에 미치는 영향에 관한 사례 연구)

  • Tami Im
    • Journal of Practical Engineering Education
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    • v.15 no.1
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    • pp.13-22
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    • 2023
  • The purpose of this paper is to explore the impact of online problem-based learning (PBL) on learners' 4C competencies and learning experience. The results of the study showed that, first, online PBL had a statistically significant effect on learners' problem-solving skills, communication skills, and pre-service teacher efficacy. Second, learners were very satisfied with the online PBL experience and perceived it to be very beneficial to their learning and to themselves as preservice teachers. Third, learners perceived that the real-time video conferencing system and instant messenger were very helpful for successful online PBL. Fourth, regarding the important factors for successful online PBL, the participants in this study perceived that communication and sincerity are very important, and the role of the leader is also important, but personal intimacy among team members is relatively less important. Fifth, learners perceive that instructor feedback is very important for successful online PBL. Finally, the implications of this study are discussed along with suggestions for future research.

Wild Bird Sound Classification Scheme using Focal Loss and Ensemble Learning (Focal Loss와 앙상블 학습을 이용한 야생조류 소리 분류 기법)

  • Jaeseung Lee;Jehyeok Rew
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.2
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    • pp.15-25
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    • 2024
  • For effective analysis of animal ecosystems, technology that can automatically identify the current status of animal habitats is crucial. Specifically, animal sound classification, which identifies species based on their sounds, is gaining great attention where video-based discrimination is impractical. Traditional studies have relied on a single deep learning model to classify animal sounds. However, sounds collected in outdoor settings often include substantial background noise, complicating the task for a single model. In addition, data imbalance among species may lead to biased model training. To address these challenges, in this paper, we propose an animal sound classification scheme that combines predictions from multiple models using Focal Loss, which adjusts penalties based on class data volume. Experiments on public datasets have demonstrated that our scheme can improve recall by up to 22.6% compared to an average of single models.