• Title/Summary/Keyword: Online Lectures

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A Study on the Operation Plans for Seongnam Public Library Programs in the Post-COVID-19 Era (포스트 코로나 시대 성남시 도서관의 문화프로그램 운영 방안 연구)

  • Song, Min Sun
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.177-186
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    • 2022
  • The purpose of this study is to suggest operation plans for library programs in preparation for the post-COVID-19 by analyzing the current status of library programs before and after the outbreak of COVID-19 based on the data of the Seongnam public libraries on the Public Data Portal. So, based on 1,317 data collected through the data purification process for duplicates and errors in the files uploaded by Seongnam City, ①programs' subject & type, ②program target users, ③program operation types(online or offline), ④program operating time & number of days, ⑤characteristics of programs preferred by users etc. were analyzed. As results of the analysis, online programs were not operated at all before COVID-19, but online programs started to be operated in earnest after August 2020. Also, there were many experiential activity lectures for infants and elementary school students in 2019, but reading activity lectures for adults and elementary school students increased in 2020. There were many types of online lectures, such as real-time lectures using online video conferencing programs, YouTube video viewing & live broadcasting, and the use of Naver Band & Cafe.

Exploring Learning Emotions for Online Lectures of Nursing College Learners: Through diary (일기연구를 통한 간호대학 온라인강의 학습정서 탐색 연구)

  • Lee, Na Kyoung
    • Journal of the Health Care and Life Science
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    • v.9 no.1
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    • pp.27-39
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    • 2021
  • The purpose of this study was to explore the learning emotions of nursing students who have changed their course due to COVID-19 through online lectures through diaries. Data were collected from November to December 2020 from 20 four-year nursing college students according to the purposive sampling method. The collected data were analyzed by the traditional content analysis method. As a result of the study, it was analyzed into 4 themes clusters and 17 sub-themes. Derived themes confirmed that 'anxiety due to confusion about online lectures', 'I blamed myself', 'frustration due to difficulties in creating a stable class environment', and 'feeling of helplessness due to lack of developmental human relationships.'

Education Programs for Disaster Mental Health: Website-Based Review

  • Hyun-Seo Park;Joohee Seo;Sang-Ho Kim
    • Journal of Oriental Neuropsychiatry
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    • v.34 no.1
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    • pp.43-59
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    • 2023
  • Objectives: Although a manual for a disaster medical support using Korean medicine doctors for disaster survivors has been developed, education programs for using the manual in disaster situations need to be developed. Thus, the purpose of this study was to analyze existing online education programs for disaster mental health to develop education programs for Korean medicine doctors. Methods: We conducted website searching for disaster mental health education programs using Google. Compositions, contents, hours, methods, costs, organizers, and targets of included educational programs were analyzed qualitatively. Results: After searching, eight websites among a total of 64 were included for the analysis. Lectures consisted of Psychological First Aid, Skills for Psychological Recovery, Self-Care, and Psychological Education after a disaster experience. Training hours for each program ranged from 30 minutes to 31 hours. All lectures were given only online. They could only be taken online. Free lectures were the most common ones. Most of them were for the general public. Conclusions: Findings of this study provide information regarding trends of online education programs for disaster mental health. Our information could be used for developing disaster trauma response education programs for Korean medicine doctors in the future.

Understanding the Entertainment Values in the Online Educational Videos

  • Jeong, Seong Bin;Lee, Justin Jemin;Kwak, Kyu Tae
    • Journal of Internet Computing and Services
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    • v.19 no.5
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    • pp.77-87
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    • 2018
  • Since the inception of the platform business in educational contents, the prominence of the online educational video has flipped the educational environment. Educational contents have been produced on the internet and allowed learners to access more flexible and student-centered. In fact, the number of people watching the educational content online, such as TED talks and YouTube, has increased during the past decade. The ways of delivering the lecture and the course information in online educational videos are totally different from the traditional lectures. In this paper, we aimed to examine and categorize the online educational videos based on the user's engagement and interest in the course contents. For the study, a negative binomial regression analysis was applied to estimate the effects of the attributes of the traditional lectures by comparatively analyzing the educational videos online. Several values are determined as engaging factors in the online educational videos; hybrid production of education and entertainment, shorter duration, and the number of presenters. From the study, we suggests how to produce engaging educational contents which will appeal the attentions from the users. Moreover, the result of the study may use as a guide to the providers making the productive educational videos.

Case Study on the Implementation of the Department of Early Childhood Education in a Cyber University (사이버대학교 유아교육학과의 강의 운영에 관한 사례연구 - H 사이버 대학교 '유아창의성교육' 수업 운영을 중심으로 -)

  • Kwon, Young-Ihm
    • Journal of the Korean Home Economics Association
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    • v.45 no.3
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    • pp.87-96
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    • 2007
  • In order to efficiently improve teaching and learning methods of the department of Early Childhood Education in cyber universities, this research analysed and assessed the problems of the current situation of lectures of the department of early childhood education. Firstly, this research examined the characteristics of cyber-education and the lecturer's role in it. Secondly, the types and status of management of online-lectures were investigated. Finally, the student management and the variety of interaction taking place online were examined. The plan to vitalize the cyber-education of early childhood education that was suggested in this study was mainly focused on developing excellent educational contents and continual research of cyber-education's method of teaching and learning. Then for the activation of online interaction, technological support and teaching strategies are needed to activate online interaction.

The Effect of Online Blended Learning Application on Occupational Therapy Students' Satisfaction and Academic Achievement in Non-Face-to-Face Classes (비대면 수업에서 온라인 블렌디드 러닝 적용이 작업치료과 대학생의 수업만족도와 학업성취도에 미치는 영향)

  • Park, Ju-Young;Kim, Hun-Ju
    • Journal of The Korean Society of Integrative Medicine
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    • v.9 no.2
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    • pp.53-61
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    • 2021
  • Purpose : The purpose of this study is to explore the effectiveness of online blended learning(asynchronous online learning class 1+synchronous online learning class 2) method and discuss the applicability of online blended learning. In this study, we will analyze the differences in class satisfaction and academic achievement between asynchronous online learning and online blended learning classes, and discuss the strengths, weaknesses, and satisfactions of online blended learning. Methods : The subjects of this study were 39 of the occupational therapy students who took the 'child development' course. Asynchronous online learning class was applied for 1-6 weeks and online blended learning was applied for 9~14 weeks. The online blended learning class consisted of 1 hours synchronous online learning and 2 hours asynchronous online learning. For the asynchronous online learning, the screen recording program of OBS Studio was used, and for the synchronous online learning, the Zoom program was used. The results of course evaluation and academic achievement of students according to the type of lecture were compared, and a survey was conducted on the satisfaction of online blended learning. Results : The results of this study are as follows. First, satisfaction(A class: t=-4.19, p=.001, B class: t=-7.94, p=.00) with online blended learning classes was significantly higher than asynchronous online learning. Second, when applying online blended learning class, academic achievement(t=-10.58, p=.00) was significantly higher. Third, the online blended learning class showed the highest satisfaction in improving the interest in the subject, and it was found to be helpful in online class management, professor-student interaction, and class content understanding. Conclusion : We have found that online blended learning can compensate for the shortcomings of online lectures and increase the quality of the lectures and the satisfaction of students. The application of online blended learning should be supplemented according to the characteristics of each class, and I hope that blended online teaching methods can be developed based on new ideas in the future.

Analysis of Understanding Using Deep Learning Facial Expression Recognition for Real Time Online Lectures (딥러닝 표정 인식을 활용한 실시간 온라인 강의 이해도 분석)

  • Lee, Jaayeon;Jeong, Sohyun;Shin, You Won;Lee, Eunhye;Ha, Yubin;Choi, Jang-Hwan
    • Journal of Korea Multimedia Society
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    • v.23 no.12
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    • pp.1464-1475
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    • 2020
  • Due to the spread of COVID-19, the online lecture has become more prevalent. However, it was found that a lot of students and professors are experiencing lack of communication. This study is therefore designed to improve interactive communication between professors and students in real-time online lectures. To do so, we explore deep learning approaches for automatic recognition of students' facial expressions and classification of their understanding into 3 classes (Understand / Neutral / Not Understand). We use 'BlazeFace' model for face detection and 'ResNet-GRU' model for facial expression recognition (FER). We name this entire process 'Degree of Understanding (DoU)' algorithm. DoU algorithm can analyze a multitude of students collectively and present the result in visualized statistics. To our knowledge, this study has great significance in that this is the first study offers the statistics of understanding in lectures using FER. As a result, the algorithm achieved rapid speed of 0.098sec/frame with high accuracy of 94.3% in CPU environment, demonstrating the potential to be applied to real-time online lectures. DoU Algorithm can be extended to various fields where facial expressions play important roles in communications such as interactions with hearing impaired people.

Status of non-face-to-face learning at selected regional universities for paramedicine since the coronavirus infectious disease 2019 outbreak: a cross-sectional survey on undergraduates (코로나19 발생 이후 일부 지역대학 응급구조학과의 비대면 교육 현황)

  • Kim, Sa-Rah;Kim, Chul-Tae
    • The Korean Journal of Emergency Medical Services
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    • v.26 no.1
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    • pp.71-85
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    • 2022
  • Purpose: This study aimed to investigate the current status of non-face-to-face education at universities for paramedicine and measure students' education satisfaction after the coronavirus infectious disease 2019 (COVID-19) outbreak. Methods: A cross-sectional survey was conducted for paramedic students at the Chungcheong and Honam areas using Google Forms. Convenience sampling was used. A structured questionnaire was created and modified according to Park and Choi's test tool developed to review online lectures and practical courses. Results: A total of 202 students responded to the survey. The satisfaction level of online lectures was 3.06±1.12 (n=202) out of 5. Students experiencing online lectures responded that it was difficult to focus on the class, and the overall quality and lecture delivery should be improved. They also experienced technical difficulties. The satisfaction level of practical course lectures was 3.24±1.04 (n=133) out of 5. It was higher than those of other types of classes because it was conducted by the more familiar face-to-face lecture. Conclusion: This study has shown that the universities and instructors have examined a variety of methods in paramedic education after the COVID-19 pandemic. However, further research and consideration are required to improve paramedic education during the COVID-19 pandemic.

Implementation of Lighting Technique and Music Therapy for Improving Degree of Students Concentration During Lectures

  • Han, ChangPyoung;Hong, YouSik
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.116-124
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    • 2020
  • The advantage of the distance learning universities based on the 4th Industrial Revolution is that anyone can conveniently take lectures anytime, anywhere on the web. In addition, research has been actively conducted on the effect of light color and temperature control upon student performance during online classes. However, research on how the conditions of subjects, lighting colors, and music selection improve the degree of a student's concentration during online lectures has not been completed. To solve these problems in this paper, we have developed automatic analysis system SW for the weak subjects of learners by applying intelligent analysis algorithm, have proposed and simulated music therapy and art therapy. Moreover, It proposed in this paper an algorithm for an automatic analysis system, which shows the weak subjects of learners by adopting intelligence analysis algorithms. We also have presented and simulated a music therapy and art therapy algorithms, based on the blended learning, in order to increase students concentration during lecture.

Restructure Recommendation Framework for Online Learning Content using Student Feedback Analysis (온라인 학습을 위한 학생 피드백 분석 기반 콘텐츠 재구성 추천 프레임워크)

  • Choi, Ja-Ryoung;Kim, Suin;Lim, Soon-Bum
    • Journal of Korea Multimedia Society
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    • v.21 no.11
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    • pp.1353-1361
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    • 2018
  • With the availability of real-time educational data collection and analysis techniques, the education paradigm is shifting from educator-centric to data-driven lectures. However, most offline and online education frameworks collect students' feedback from question-answering data that can summarize their understanding but requires instructor's attention when students need additional help during lectures. This paper proposes a content restructure recommendation framework based on collected student feedback. We list the types of student feedback and implement a web-based framework that collects both implicit and explicit feedback for content restructuring. With a case study of four-week lectures with 50 students, we analyze the pattern of student feedback and quantitatively validate the effect of the proposed content restructuring measured by the level of student engagement.