• Title/Summary/Keyword: Rights for Online Learning

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A Study on the Current Status and Improvement of Online Classes for Students with Developmental Disabilities during the COVID-19 Pandemic -in chungbuk- (코로나19 상황 속 발달 장애 학생의 온라인 학습 실태와 개선방안 -충북지역을 중심으로-)

  • Kim, Hyun-Jin
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.350-358
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    • 2021
  • The purpose of this study is to analyze the status of rights for online learning of students with developmental disabilities in the COVID-19 situation and suggest plans to promote the rights focusing on parents with children with disabilities. This research conducted the mixed method, which utilizes the survey of 200 parents with children in chungbuk, who have developmental disabilities, and FGI of six parents. The survey analysis shows that 50.5% of the respondents could not support their children due to telecommuting. The most urgent support system for learning assistance was identified as support for assistive personnel. As a result of the analysis of FGI, two categories of "status of online classes in the COVID-19," "improving non-contact learning environment considering the nurturing environment," "diversifying teaching methods such as video classes," "introducing of a contextual assessment," and "enhancing health support." Based on these findings, the study proposed to review legal grounds for online classes for disabled students, expand the dispatch of learning support personnel and prepare plans to promote the online learning environment.

A Study on Similar Trademark Search Model Using Convolutional Neural Networks (합성곱 신경망(Convolutional Neural Network)을 활용한 지능형 유사상표 검색 모형 개발)

  • Yoon, Jae-Woong;Lee, Suk-Jun;Song, Chil-Yong;Kim, Yeon-Sik;Jung, Mi-Young;Jeong, Sang-Il
    • Management & Information Systems Review
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    • v.38 no.3
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    • pp.55-80
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    • 2019
  • Recently, many companies improving their management performance by building a powerful brand value which is recognized for trademark rights. However, as growing up the size of online commerce market, the infringement of trademark rights is increasing. According to various studies and reports, cases of foreign and domestic companies infringing on their trademark rights are increased. As the manpower and the cost required for the protection of trademark are enormous, small and medium enterprises(SMEs) could not conduct preliminary investigations to protect their trademark rights. Besides, due to the trademark image search service does not exist, many domestic companies have a problem that investigating huge amounts of trademarks manually when conducting preliminary investigations to protect their rights of trademark. Therefore, we develop an intelligent similar trademark search model to reduce the manpower and cost for preliminary investigation. To measure the performance of the model which is developed in this study, test data selected by intellectual property experts was used, and the performance of ResNet V1 101 was the highest. The significance of this study is as follows. The experimental results empirically demonstrate that the image classification algorithm shows high performance not only object recognition but also image retrieval. Since the model that developed in this study was learned through actual trademark image data, it is expected that it can be applied in the real industrial environment.

A study on the status of dental technicians' continuing education and licensing reporting status and development (치과기공사의 보수교육 실태와 면허신고 현황 및 발전을 위한 연구)

  • Sun-Kyoung Lee
    • Journal of Technologic Dentistry
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    • v.45 no.4
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    • pp.111-117
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    • 2023
  • Purpose: This study aims to determine the status of dental technician's continuing education and licensing reporting and provide basic data that can aid in improving the operation of progressive continuing education and licensing reporting and development programs. Methods: This study included dental technicians nationwide who attended the 2023 Korea Dental Technology Expo & Scientific Conference and responded to an online survey from July 21 to July 23, 2023. In total, 180 copies were analyzed. The reliability of satisfaction with continuing education demonstrated a Cronbach's α of 0.924. IBM SPSS Statistics version 21.0 (IBM) was used to statistically analyze the collected data. Results: Satisfaction with continuing education for dental technicians was 2.78, 2.81, 3.21, 2.96, and 2.87 for the number of lectures offered, composition of major fields, lecture content, instructor level, and overall satisfaction, respectively. The average satisfaction with continuing education was 2.93, which was lower than the average (3 points). The investigation revealed that overall improvement was required. Conclusion: Measures for those who have not completed continuing education must be implemented within the government's legal influence by actively using the license reporting system. Strengthening verification of completion of continuing education, improving autonomous disciplinary rights, diversifying the content and learning methods of continuing education, linking with the license reporting system, improving institutional postevaluation, and introducing related policies should be conducted when opening a dental laboratory.

Privacy Policy Analysis Techniques Using Deep Learning (딥러닝을 활용한 개인정보 처리방침 분석 기법 연구)

  • Jo, Yong-Hyun;Cha, Young-Kyun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.2
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    • pp.305-312
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    • 2020
  • The Privacy Act stipulates that the privacy policy document, which is a privacy statement, should be disclosed in order to guarantee the rights of the information subjects, and the Fair Trade Commission considers the privacy policy as a condition and conducts an unfair review of the terms and conditions under the Terms and Conditions Control Act. However, the information subjects tend not to read personal information because it is complicated and difficult to understand. Simple and legible information processing policies will increase the probability of participating in online transactions, contributing to the increase in corporate sales and resolving the problem of information asymmetry between operators and information entities. In this study, complex personal information processing policies are analyzed using deep learning, and models are presented for acquiring simplified personal information processing policies that are highly readable by the information subjects. To present the model, the personal information processing policies of 258 domestic companies were established as data sets and analyzed using deep learning technology.

Development of the Cyber University's Admission Quota Policy Model (사이버대학 학생정원 관리모형 개발)

  • Lee, In-Sook;Suh, Soon-Shik
    • Journal of The Korean Association of Information Education
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    • v.15 no.3
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    • pp.493-503
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    • 2011
  • The Korea Ministry of Education, Science and Technology (MEST) determines admission quota of cyber universities. MEST's decision is made based on each university's physical and administrative capacity for handling admission numbers. However, the unique characteristics of cyber universities (e.g., online teaching and learning environments) are not considered in MEST's current decision process. MEST also lacks specifics in their policies that are required to ensure university's autonomous control for admission number as well as learners' rights and quality assurance. This study intended to improve decision making process on admission quota of cyber universities so as to increase quality assurance of education. The alternative admission quota decision frameworks have been formulated based on (a) the analysis of the current practices of cyber universities, (b) focus group interviews, and (c) recommendations of the expert.

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Digital Barrier-Free and Psychosocial Support for Students with Disabilities in Distance Learning Environments

  • Kravchenko, Oksana;Koliada, Natalia;Berezivska, Larysa;Dikhtyarenko, Svitlana;Baida, Svitlana;Danylevych, Larysa
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.15-24
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    • 2022
  • The article clarifies the conditions for information, digital and educational accessibility for higher education seekers with disabilities in terms of distance learning caused by quarantine restrictions. It is established that such conditions are regulated by international and Ukrainian legal documents (The Standard Rules on the Equalization of Opportunities for Persons with Disabilities, Convention on the Rights of Persons with Disabilities, Sustainable Development Goals, Law of Ukraine "On Education", Law of Ukraine "On Higher Education", Strategy for the Development of Higher Education in Ukraine 2021-2031, Development Strategy areas of innovation for the period up to 2030, Development strategy of the sphere of innovation activity for the period up to 2030). As a part of information barrierlessness, Higher Education Institutions (HEI) should provide access to information in various formats and using technologies, in particular Braille script, large-type printing, audio description (audio descriptive commenting), sign language interpretation, subtitling, a format suitable for reading by screen access programs, formats of simple speech, easy-to-read formats, means of alternative communication. The experience of Pavlo Tychyna Uman State Pedagogical University is described. In particular, special attention is paid to the study of sign language: in view of this, the initiative group implemented the project "Learning to hear and overcome social isolation together" with the financial support of the British Council in Ukraine. Within the framework of digital accessibility, the official website of the Faculty of Social and Psychological Education has been adapted for the visually impaired in accordance with WCAG 2.0 World Standards. In 2021, Pavlo Tychyna Uman State Pedagogical University implemented the project "Cultural, Recreational and Tourist Cherkasy Region: Inclusive Social 3D Map" funded by the Ukrainian Cultural Foundation; a site with available content for online travel in the region to provide barrier-free access to the historical and cultural heritage of Cherkasy region was created. Educational accessibility is achieved by increasing the number of people with special educational needs, receiving education in inclusive groups; activities of the Center for Social and Educational Integration and Inclusive Rehabilitation Social Tourism "Bez barieriv" ("Without barriers"); implementation of a research topic for financing the Ministry of Education and Science of Ukraine: "Social and psychological rehabilitation of children and youth with special educational needs by means of inclusive tourism"; implementation of the project "Social inclusion of distance educational process"; development of information campaigns to popularize the ideas of accessibility, the need for its implementation, ongoing training programs and competitions, etc.

Research on the development of automated tools to de-identify personal information of data for AI learning - Based on video data - (인공지능 학습용 데이터의 개인정보 비식별화 자동화 도구 개발 연구 - 영상데이터기반 -)

  • Hyunju Lee;Seungyeob Lee;Byunghoon Jeon
    • Journal of Platform Technology
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    • v.11 no.3
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    • pp.56-67
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    • 2023
  • Recently, de-identification of personal information, which has been a long-cherished desire of the data-based industry, was revised and specified in August 2020. It became the foundation for activating data called crude oil[2] in the fourth industrial era in the industrial field. However, some people are concerned about the infringement of the basic rights of the data subject[3]. Accordingly, a development study was conducted on the Batch De-Identification Tool, a personal information de-identification automation tool. In this study, first, we developed an image labeling tool to label human faces (eyes, nose, mouth) and car license plates of various resolutions to build data for training. Second, an object recognition model was trained to run the object recognition module to perform de-identification of personal information. The automated personal information de-identification tool developed as a result of this research shows the possibility of proactively eliminating privacy violations through online services. These results suggest possibilities for data-based industries to maximize the value of data while balancing privacy and utilization.

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