• Journal of the Korean Society of Environmental Restoration Technology
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• v.5 no.4
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• pp.39-50
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• 2002

The purpose of this study was to evaluate site-based environmental education(EE) programs. For the evaluation, an evaluation chart was developed. The chart was consisted of twenty evaluation items in the following six categories : 'goals & objectives', 'instructional planning', 'instruction', 'learning outcomes & evaluation', 'features of program', and 'program operation'. One hundred sixty five site-based EE programs, funded by the Korean Ministry of Environment in 2000, were evaluated. After the evaluation, the programs were also categorized and analyzed according to regions, organizations, and amount of funds. The results indicated that awareness, participation, and attitude were addressed in the purpose of the programs, while knowledge and skills were not. The diversity of activities and teaching strategies of the programs were insufficient. Cultural aspects, fairness, originality, and accuracy were also insufficiently addressed. Assessment and evaluation of such programs were needed to be considered to a larger degree. From the analysis of programs according to categories, Choongbuk province in the regional aspect and schools in the organizational aspect got higher scores than others. Overall, the more funding the program received, the higher score it got in evaluation. Some improvements and strategies for activating site-based EE were recommended based on the result of the evaluation.

• Journal of Information Technology Applications and Management
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• v.31 no.3
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• pp.149-163
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• 2024

As conversational AI systems such as ChatGPT have become more advanced, researchers are exploring ways to use them in education. However, we need effective ways to evaluate these systems before allowing them to help teach students. This study proposes a detailed framework for testing conversational AI across three important criteria as follow. First, specialized benchmarks that measure skills include giving clear explanations, adapting to context during long dialogues, and maintaining a consistent teaching personality. Second, adaptive standards check whether the systems meet the ethical requirements of privacy, fairness, and transparency. These standards are regularly updated to match societal expectations. Lastly, evaluations were conducted from three perspectives: technical accuracy on test datasets, performance during simulations with groups of virtual students, and feedback from real students and teachers using the system. This framework provides a robust methodology for identifying strengths and weaknesses of conversational AI before its deployment in schools. It emphasizes assessments tailored to the critical qualities of dialogic intelligence, user-centric metrics capturing real-world impact, and ethical alignment through participatory design. Responsible innovation by AI assistants requires evidence that they can enhance accessible, engaging, and personalized education without disrupting teaching effectiveness or student agency.

• Journal of Korea Multimedia Society
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• v.24 no.6
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• pp.805-814
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• 2021

Push-ups are one of the body exercises that can be easily measured anytime, anywhere. As one of the most widely used techniques as a test tool for evaluating physical strength, they are broadly used in various fields, especially in fields that require physical ability to estimate, such as military, police, and firefighters. However, social distancing is currently being implemented, and the issue of fairness has been steadily raised due to subtle differences between measurement. Accordingly, in this paper, the correct posture for each individual was photographed and learned by a high-performance computer, and the result was derived by comparing it with the case of performing the incorrect posture of the individual. If method is introduced into the physical fitness evaluation through the proposed method, the individual takes the correct posture and learns the photographed photo, and measures the posture with several images taken during a given time. Through this, it is possible to measure more objectively because it measures with the merit that can be measured even in the present situation and with one's correct posture.

• Journal of KIISE:Information Networking
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• v.34 no.1
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• pp.27-32
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• 2007

Next-generation wireless networks are expected to support a wide range of services, including high-rate data applications, Various service types request differentiated QoSs(Qualities of Service) such as minimum data rate, accuracy, fairness and so on. Although resources of radio systems are limited, for many applications, it is important that certain QoS targets are required to be met. In this paper, we propose a QoS based scheduling algorithm for next generation systems, based on analyzing previous researches, and we develop the proposed QoS algorithm only for MIMO(multi-Input Multi-Output) systems. Moreover, we subsequently prove that the proposed algorithm optimize throughput relative to prespecified target values and converge to certain throughput.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.19-39
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• 2018

Recently, fake news has attracted worldwide attentions regardless of the fields. The Hyundai Research Institute estimated that the amount of fake news damage reached about 30.9 trillion won per year. The government is making efforts to develop artificial intelligence source technology to detect fake news such as holding "artificial intelligence R&D challenge" competition on the title of "searching for fake news." Fact checking services are also being provided in various private sector fields. Nevertheless, in academic fields, there are also many attempts have been conducted in detecting the fake news. Typically, there are different attempts in detecting fake news such as expert-based, collective intelligence-based, artificial intelligence-based, and semantic-based. However, the more accurate the fake news manipulation is, the more difficult it is to identify the authenticity of the news by analyzing the news itself. Furthermore, the accuracy of most fake news detection models tends to be overestimated. Therefore, in this study, we first propose a method to secure the fairness of false news detection model accuracy. Secondly, we propose a method to identify the authenticity of the news using the social data broadly generated by the reaction to the news as well as the contents of the news.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.1019-1034
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• 2022

Malware attacks become more prevalent in the hyper-connected society of the 4th industrial revolution. To respond to such malware, automation of malware detection using artificial intelligence technology is attracting attention as a new alternative. However, using artificial intelligence without collateral for its reliability poses greater risks and side effects. The EU and the United States are seeking ways to secure the reliability of artificial intelligence, and the government announced a reliable strategy for realizing artificial intelligence in 2021. The government's AI reliability has five attributes: Safety, Explainability, Transparency, Robustness and Fairness. We develop four elements of safety, explainable, transparent, and fairness, excluding robustness in the malware detection model. In particular, we demonstrated stable generalization performance, which is model accuracy, through the verification of external agencies, and developed focusing on explainability including transparency. The artificial intelligence model, of which learning is determined by changing data, requires life cycle management. As a result, demand for the MLops framework is increasing, which integrates data, model development, and service operations. EXE-executable malware and documented malware response services become data collector as well as service operation at the same time, and connect with data pipelines which obtain information for labeling and purification through external APIs. We have facilitated other security service associations or infrastructure scaling using cloud SaaS and standard APIs.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.1
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• pp.107-129
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• 2014

Providing reliable and high quality information sources will be one of the basic skills of librarians in the future. Therefore, this study proposed evaluation criteria for health-related information sources based on a survey of public and medical librarians. As a result, a total of 21 items were selected as evaluation items, in three groups. The first, the health information content group, had 13 evaluation items, including accuracy, recency, medical expertise, regular updates, consideration of audience, objectivity, ease of understanding, plain (non-scientific or technical) language, completeness, relevance to the topic, verifiability, citation of information sources, and specification of precautions or warnings. The second group, the health-information sources group, had 5 evaluation items including clarity of health information for achieving its purpose, clarification of the responsibility of health information, compliance to the privacy policy, fairness of health information providers, and ethics of health information providers. The third group was the health-information website design group, and featured 4 evaluation criteria: ease of access, search capabilities, website ease of use, and query-response services.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.627-635
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• 2016

The study analyzed what programs local broadcasting stations should produce to secure competitiveness in contents. As a result, in order to make more local people watch news programs, providing accurate local and general news and information and a forum for discussion on major issues is required. Moreover, it was revealed that providing a forum for discussion on local issues and representing the voice of local people based on accuracy, fairness and reliability is important to improve satisfaction with news. For increasing general program ratings of local broadcasts, it is required to provide interesting programs and encourage local people to participate in the programs. Additionally, in order to raise satisfaction with general programs, it is necessary to offer interesting and high quality programs, deal with local issues and information and provide local residents with a platform for participation.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.676-686
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• 2016

This study explored the development and applicability of a classics book reading program in the nursing curriculum as a character education program in order to enhance nursing students' holistic growth and development. An increasing number of universities in Seoul have introduced a classics book reading program as part of the curriculum and some have even designated it as an essential subject. Various such programs have been developed in addition to the regular education curriculum. The following aspects are important to consider in a classics book reading program for nursing students: trust, respect, responsibility, fairness, caring, citizenship, endurance, healthy self-concept, and self-sustained growth performance. Classics book selections need to take into account the level of the students, and the efforts should be made to ensure the accuracy of the translation and the level of students' understanding. It is difficult to form character through short-term education. Despite difficulties, character formation requires continued interest and systemic education that will lead nursing students to show inbuilt positive characteristics. Inclusion of character education in the nursing curriculum should be considered with the agreement of the university, based on political decision-making.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.85-93
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• 2014

The Press related Energy including nuclear energy has social responsibility that it should pass the scientific factors to the right. It is essential to ensure the accuracy and fairness. The general public, such as press releases and information obtained through indirect communication affects social acceptance of nuclear power, which is used to determine the direction of energy policy, the most important factor to be taken into account. Recent rapid increase coverage of NPP lose in balance of nuclear power plants. In this study the qualitative interviews were performed with the workers who stand directly in obtaining information about nuclear related organizations. By E-mail and FGI the data were collected from the workers' perception about domestic nuclear news. They perceived the NPP news that the negative aspects of nuclear power plants were too much dealt in nuclear news coverage, and risk of NPP is only exaggerated and distorted, the lack of expertise knowledge on nuclear power and recognize that the cause was a lack of understanding. 'Nuclear mah' for the event were aware that should dig more thoroughly. The Journal of Digital Policy & Management.