• Title/Summary/Keyword: Online Learning

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Desing of VR Contents for Visual Function Enhancement (VR 기반 시기능 강화 콘텐츠 설계 및 제작)

  • Yong-Ju Kim;Sang-Joong Jung
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.2
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    • pp.70-75
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    • 2022
  • With the spread of various digital devices, devices have become commonplace in modern society. Moreover, due to the increase in device usage and online learning while staying indoors during the COVID-19 pandemic, symptoms such as an increase in myopia in children due to eye fatigue, an increase in young presbyopia, and dry eye syndrome are increasing, and now people are paying attention to eye health. This is different from before. There are various prescriptions for eye health, but in this paper, we would like to propose a training method for enhancing visual function using VR contents. The analog methods of the existing teaching aids for visual function reinforcement training were planned and produced as digital contents, and VR-based training contents were selected from among the various methods carried out with teaching aids at the visual function training center, which can be made into contents. was developed with In the training process for each content, it was proposed to apply eye tracking to the VR device in order to give the user feedback on their participation in the training so that the management and concentration of the training process could be analyzed.

Korean Hedge Detection Using Word Usage Information and Neural Networks (단어 쓰임새 정보와 신경망을 활용한 한국어 Hedge 인식)

  • Ren, Mei-Ying;Kang, Sin-jae
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.9
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    • pp.317-325
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    • 2017
  • In this paper, we try to classify Korean hedge sentences, which are regarded as not important since they express uncertainties or personal assumptions. Through previous researches to English language, we found dependency information of words has been one of important features in hedge classification, but not used in Korean researches. Additionally, we found that word embedding vectors include the word usage information. We assume that the word usage information could somehow represent the dependency information. Therefore, we utilized word embedding and neural networks in hedge sentence classification. We used more than one and half million sentences as word embedding dataset and also manually constructed 12,517-sentence hedge classification dataset obtained from online news. We used SVM and CRF as our baseline systems and the proposed system outperformed SVM by 7.2%p and also CRF by 1.2%p. This indicates that word usage information has positive impacts on Korean hedge classification.

Dietary guidelines adherence and changes in eating habits among college students in the post-COVID-19 period: a cross-sectional study (코로나 이후 대학생의 배달음식 간편식 외식 및 식생활 행태 변화와 식생활지침 실천 정도에 대한 단면조사연구)

  • Eunyoung Yoon
    • Korean Journal of Community Nutrition
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    • v.28 no.3
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    • pp.220-234
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    • 2023
  • Objectives: This study aimed to assess the adherence to dietary guidelines among college students in the post-COVID-19 era and examine the changes in their dietary habits as the learning environment transitioned from remote to in-person classes. Methods: We conducted a survey involving 327 college students in Daejeon from March to April 2023. The survey questionnaires included various factors, including age, gender, type of residence, frequency of use of delivery food, convenience food, and eating out. In addition, we investigated the extent of adherence to the dietary guidelines for Koreans and the degree of dietary changes following the post-COVID-19 shift in class format were investigated. For comparative analysis of the level of adherence to dietary guidelines in relation to dietary habit changes, an ANOVA and a post hoc Scheffe test were employed. We also performed a multiple linear regression analysis to identify dietary factors influencing the level of adherence to dietary guidelines. Results: The study revealed a high rate of convenience food consumption and a low rate of homemade food intake among students. There was a marked increase in the consumption of processed foods, convenience foods, dining out, sweet foods, high-fat fried foods, beverages, and alcohol following the transition from online to in-person classes. When examining adherence to Korean dietary guidelines, the highest scored practice was 'Hydration', and the lowest was 'Breakfast habit'. Increased consumption of convenience foods, late-night snacks, and dining out were negatively correlated with adherence levels to dietary guidelines, specifically correlating with 'Healthy weight', 'Hydration', 'Breakfast habit', and the total score of adherence. The adoption of 'regular meals' was positively associated with increased adherence levels to dietary guidelines. Conclusions: The transition from remote to in-person classes post-COVID-19 led to increased intake of convenience foods, dining out, sweet foods, high-fat fried foods, and alcohol. The rise in convenience food and late-night snack consumption negatively influenced several aspects of the dietary guidelines adherence, thereby suggesting the need for strategies to encourage healthy dietary habits among college students.

A Research on the Audio Utilization Method for Generating Movie Genre Metadata (영화 장르 메타데이터 생성을 위한 오디오 활용 방법에 대한 연구)

  • Yong, Sung-Jung;Park, Hyo-Gyeong;You, Yeon-Hwi;Moon, Il-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.284-286
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    • 2021
  • With the continuous development of the Internet and digital, platforms are emerging to store large amounts of media data and provide customized services to individuals through online. Companies that provide these services recommend movies that suit their personal tastes to promote media consumption. Each company is doing a lot of research on various algorithms to recommend media that users prefer. Movies are divided into genres such as action, melodrama, horror, and drama, and the film's audio (music, sound effect, voice) is an important production element that makes up the film. In this research, based on movie trailers, we extract audio for each genre, check the commonalities of audio for each genre, distinguish movie genres through supervised learning of artificial intelligence, and propose a utilization method for generating metadata in the future.

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A Design and Demonstration of Future Technology IT Humanities Convergence Education Model (미래기술 IT인문학 융복합 교육모델 설계 및 실증)

  • Eunsun Choi;Namje Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.159-166
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    • 2023
  • Humanities are as crucial as the technology itself in the intelligent information society. Human-centered convergence information technology (IT), which reflects emotional and human nature, can be considered a unique technology with an optimistic outlook in the unpredictable future. Based on this research background, this paper proposed an education model that can improve the IT humanities capabilities of various learners, including elementary and secondary students, prospective teachers, incumbent teachers, school managers, and the general public, through analysis of previous studies on convergence education models. Furthermore, the practical aspects of the proposed model were closely examined so that the proposed education model could be stably incorporated and utilized in the educational field. There are seven strategies for implementing the education model proposed in this paper, including research on textbooks, teaching and learning materials, activation of research results, maker space creation, global joint research, online education operation, developing living lab governance, and diversification of self-sustaining platforms for sustainable and practical education. In the future, validity verification through expert Delphi is required as a follow-up study.

Supporting Resilience and the Management of Grief and Loss among Nurses: Qualitative Themes from a Continuing Education Program

  • Esplen, Mary Jane;Wong, Jiahui;Vachon, Mary L.S.
    • Journal of Hospice and Palliative Care
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    • v.25 no.2
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    • pp.55-65
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    • 2022
  • Caring for patients with cancer is highly stimulating and rewarding, attracting health professionals to the field who enjoy the challenge of managing a complex illness. Health professionals often form close bonds with their patients as they confront ongoing disease or treatment impacts, which may be associated with multiple losses involving function and/or eventual loss of life. Ongoing exposure to patient loss, along with a challenging work setting, may pose significant stress and impact health professionals' well-being. The prevalence rates of burnout and compassion fatigue (CF) are significant, yet health professionals have little knowledge on these topics. A 6-week continuing education program consisting of weekly small-group video-conferencing sessions, case-based learning, and an online community of practice was delivered to health care providers providing oncology care. Program content included personal, organization and team-related risk and protective factors associated with CF, grief models, and strategies to mitigate against CF. Content analysis was completed as part of the program evaluation. In total, 189 participants (93% nurses) completed the program, which was associated with significant improvements in confidence and knowledge of CF and strategies to support self and team resilience. Qualitative themes and vignettes from experiences with the program are presented. Key themes included knowledge gaps, a lack of support related to CF and strategies to support resilience, organization-and team-based factors that can inhibit expression about the impacts of clinical work, the health professional as a "person" in caregiving, and the role of personal variables, self-skill practices, and recommendations for education and support for self and teams.

Development of the motivating efficacy scale for mathematics teachers (수학교사의 수학 학습동기 유발 효능감 측정 도구 개발 연구)

  • Somin Kim;Hee-jeong Kim
    • Journal of the Korean School Mathematics Society
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    • v.26 no.2
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    • pp.159-184
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    • 2023
  • In this study, after defining motivating efficacy operationally, we developed a draft of the Motivating Efficacy Scale for Mathematics Teachers (MESMT), a measure of mathematics teachers' motivating efficacy, through the literature review and an expert Delphi survey, and conducted the exploratory factor analysis using online survey responses from 347 elementary and secondary mathematics teachers across the country to explore the factor structure of the measure and to test its validity and reliability. The exploratory factor analysis resulted in the deletion of 17 items from the initial 42 items developed through the literature review and expert Delphi survey and the identification of four factors (Providing successful experiences, Eliciting attention and engagement, Creating mathematics case-based relevance, and Providing extrinsic rewards), resulting in a final MESMT of 25 items. The MESMT developed in this study is a valid and reliable measure of mathematics teachers' motivating efficacy, and is expected to serve as a starting point for many subsequent studies to understand mathematics teachers' motivating efficacy and improve mathematics teachers' ability to motivate students' mathematics learning.

Topic-oriented Liberal English Class Plan for Foreign Learners at University (대학생 외국인 학습자를 위한 주제 중심의 교양 영어 수업방안)

  • Kim Hye-Jeong
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.111-117
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    • 2023
  • The aim of this study is to present a practical teaching plan for liberal arts English classes that target foreign students. Foreign learners who do not have Korean language proficiency at the university level may struggle to understand the contents of liberal arts classes conducted by Korean language professors. In this study, six topics were selected (K-culture, Online game, Harry Potter, Disney, Marvel, DC) and topic-centered participatory class activities using various media were developed. A questionnaire was conducted to analyze learners' attitudes toward and perceptions regarding topic-oriented classes. It showed that learners' satisfaction with topic-based classes was high (75%), and the reasons for this high level of satisfaction were the instructors' caring attitudes, the comfortable class atmosphere, and the fun learners had in class. Learners also reported high satisfaction with various participatory class activities (81.9%), citing the learning benefits, their increased interest and motivation, and the efficiency of participatory classes. As globalization continues to increase the number of foreign students in South Korea, the need to develop realistic class plans and various class activities that are suitable for them is becoming more and more urgent.

The influence of calling and self esteem on nursing professionals of nursing students (간호대학생의 소명의식과 자아존중감이 간호전문직관에 미치는 영향)

  • Hyea-Kyung Lee;Yun-Soo Choi;Ji-Seon Kim;Myeong-Seo Kim;Chan-Young Jeon;Chae-Yoon Cho;Yeon-Jin Heo
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.563-571
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    • 2023
  • The purpose of the study is to understand the impact of nursing college students' awareness and self-esteem on nursing professionals. The research design of this study is a descriptive investigative study using convenient samples. The data collection collected structured questionnaires and Google's online survey methods for first- to fourth-year nursing college students at three universities in North Chungcheong Province. The collected data were analyzed using the SPSS window 25.0 program as frequency, percentage, mean and standard deviation, t-test and one-way ANOVA, and post-test as Scheffétest, Pearson correlation coefficient, and multiple regression. The study found that 21.7% (==-.181, p<.001), 2.8% major satisfaction, and 24.5% (β=.420, p<.001), so it is recommended to use it as basic data to establish a curriculum and teaching learning strategy to improve major satisfaction.

Convolutional neural networks for automated tooth numbering on panoramic radiographs: A scoping review

  • Ramadhan Hardani Putra;Eha Renwi Astuti;Aga Satria Nurrachman;Dina Karimah Putri;Ahmad Badruddin Ghazali;Tjio Andrinanti Pradini;Dhinda Tiara Prabaningtyas
    • Imaging Science in Dentistry
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    • v.53 no.4
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    • pp.271-281
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    • 2023
  • Purpose: The objective of this scoping review was to investigate the applicability and performance of various convolutional neural network (CNN) models in tooth numbering on panoramic radiographs, achieved through classification, detection, and segmentation tasks. Materials and Methods: An online search was performed of the PubMed, Science Direct, and Scopus databases. Based on the selection process, 12 studies were included in this review. Results: Eleven studies utilized a CNN model for detection tasks, 5 for classification tasks, and 3 for segmentation tasks in the context of tooth numbering on panoramic radiographs. Most of these studies revealed high performance of various CNN models in automating tooth numbering. However, several studies also highlighted limitations of CNNs, such as the presence of false positives and false negatives in identifying decayed teeth, teeth with crown prosthetics, teeth adjacent to edentulous areas, dental implants, root remnants, wisdom teeth, and root canal-treated teeth. These limitations can be overcome by ensuring both the quality and quantity of datasets, as well as optimizing the CNN architecture. Conclusion: CNNs have demonstrated high performance in automated tooth numbering on panoramic radiographs. Future development of CNN-based models for this purpose should also consider different stages of dentition, such as the primary and mixed dentition stages, as well as the presence of various tooth conditions. Ultimately, an optimized CNN architecture can serve as the foundation for an automated tooth numbering system and for further artificial intelligence research on panoramic radiographs for a variety of purposes.