• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.383-388
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• 2020

본 연구에서는 AI 어시스턴트의 음악청취 도메인 내 요청문을 인식 및 처리하기 위해 한국어와 중국어를 중심으로 도메인 사전 및 패턴문법 언어자원을 구축하고 그 결과를 비교분석 하였다. 이를 통해 향후 다국어 언어자원 구축의 접근 방법을 모색할 수 있으며, 궁극적으로 패턴 기반 문법으로 기술한 언어자원을 요청문 인식에 직접 활용하고 또한 주석코퍼스 생성을 통해 기계학습 성능 향상에 도움을 줄 수 있을 것으로 기대된다. 본 연구에서는 우선 패턴문법의 구체적인 양상을 살펴보기에 앞서, 해당 도메인의 요청문 유형의 카테고리를 결정하는 과정을 거쳤다. 이를 기반으로 한국어와 중국어 요청문의 실현 양상과 패턴유형을 LGG 프레임으로 구조화한 후, 한국어와 중국어 패턴문법 간의 통사적, 형태적, 어휘적 차이점을 비교분석 하여 음악청취 도메인 요청문의 언어별 생성 구조 차이점을 관찰할 수 있었다. 구축한 패턴문법은 개체명을 변수(X)로 설정하는 경우, 한국어에서는 약 2,600,600개, 중국어에서는 약 11,195,600개의 표현을 인식할 수 있었다. 결과적으로 본 연구에서 제안한 언어자원의 언어별 차이에 대한 통찰을 통해 다국어 차원의 요청문 인식 자원과 기계학습 데이터로서의 효용을 확인하였다.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.419-427
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• 2021

The purpose of this study is to identify the recognition and utilization of health information by acquisition channels for preliminary and elderly people. For the survey data of 200 people aged 55 to 64 and 200 seniors aged 65 or older, the chi-square test and Fisher's precision test were performed using MINITAB17. Although the two age groups were similar in obtaining health information through health professionals, preliminary elderly were more likely to obtain health information through mass media and Internet sites. In particular, the collection of health information through internet sites was more than four times higher than that of the elderly. While the preliminary people focused on searching the information on the health care and prevention, older people explored comprehensive information on health, including disease prevention and treatment, through each channel. Both groups showed positive recognition about the acquired health information. The results of this study confirmed that all channels, including internet sites, can be usefully used in the delivery of health-related information to the elderly in the future. In addition, it is suggested to consider age characteristics and health information utilized by each channel in the development of various contents for the improvement of self-health management of the elderly.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.511-523
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• 2022

This study was conducted using non-face-to-face care technology for the elderly with mild dementia and the physically weak living in the community, as various methods of care for the elderly have been raised due to the prolonged COVID-19. The purpose of this study is a similar experimental study before and after the inequality control group to compare cognitive function, daily living activities, and the degree of depression by applying an AI robot integrated management program using. The data was collected from June 4 to September 17, 2021, and the survey results of 17 people in the experimental group and 18 in the control group were analyzed using the SPSS 25.0 program. As a result of the study, the experimental group was significant in language function, activities of daily living, and depression. In particular, the results showed a decrease in moderate to severe depression and mild depression. Cognitive function was significant with long-term care grade and daily living activity with family living together. Therefore, if such non-face-to-face care technology is introduced to the elderly care field in the 'With Corona era', it is thought that it will contribute to cognitive function training and depression reduction of the elderly.

• Journal for History of Mathematics
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• v.33 no.5
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• pp.289-299
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• 2020

In this paper, we investigate the causes and the characteristics of transformations of mathematics education in modern China, focusing on the contents of mathematics education in the Ming and Qing dynasties. In this process, mathematics education was investigated from the overall educational view of each dynasty, so the educational situation of each dynasty was also considered.

• Therapeutic Science for Rehabilitation
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• v.12 no.1
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• pp.23-35
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• 2023

Objective : This study is to examine the practical use of clinical observational evaluation of sensory integration therapy and the difficulty and importance of measuring results for each sub-item, and through this, to confirm the usefulness of the application of Artificial Intelligence measurement technology in clinical observational measurement and the need for application. Methods : The questionnaire consisted of the actual use of the sensory integration evaluation tool, the difficulty of measurement for each detailed item of clinical observation, the usefulness of AI measurement technology, the importance of evaluation for each detailed item, and the need for developing AI measurement technology. Results : The detailed items that were difficult to measure during clinical observation were the Finger-to-Nose Test and Postural control (71.0%), followed by Eye movement and Protective Extension Test (67.7%). 83.9% of the study subjects answered that it would be useful to apply AI measurement technology when observing images. Postural control (on the ball) (90.3%) was the highest item that answered that AI measurement technology was needed, followed by Eye movement (83.9%), and Prone Extension and Protective Extension Test (77.4%). Conclusion : The results confirmed the desire of therapists that clinical observation is an important evaluation tool in the field of child occupational therapy in Korea.

• The Mathematical Education
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• v.63 no.2
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• pp.335-350
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• 2024

This study explored the factors that influence elementary school teachers' intention to use an artificial intelligence (AI) math learning system and analyzed the interactions and relationships among these factors. Based on the technology acceptance model, perceived usefulness for math learning, perceived ease of use of AI, and attitude toward using AI were analyzed as the main variables. Data collected from a survey of 215 elementary school teachers was used to analyze the relationships between the variables using structural equation modeling. The results of the study showed that perceived usefulness for math learning and perceived ease of use of AI significantly influenced teachers' positive attitudes toward AI math learning systems, and positive attitudes significantly influenced their intention to use AI. These results suggest that it is important to positively change teachers' perceptions of the effectiveness of using AI technology in mathematics instruction and their attitudes toward AI technology in order to effectively adopt and utilize AI-based mathematics education tools in the future.

• The Journal of Bigdata
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• v.9 no.1
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• pp.169-186
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• 2024

This study aims to analyze the acceptance factors for expanding the adoption of AI by SMEs and draw practical and policy implications. To this, we conducted an empirical analysis of AI acceptance factors among 315 SMEs in various industries such as manufacturing, service, and information and communication sectors located in Korea. Based on the UTAUT, we examined the influence of decision-making reliability, perceived awareness, policy support, education and training, perceived cost, perceived risk, and system complexity, and found that decision-making reliability positively affects performance expectancy and social influence, perceived awareness positively affects performance expectancy and effort expectancy, policy support positively affects social influence and facilitating conditions, and education and training positively affects effort expectancy and facilitating conditions. Perceived cost had a negative effect on social influence and facilitating conditions, and perceived risk had a negative effect on performance expectancy and social influence. System complexity had a negative effect on effort expectancy but no effect on facilitating conditions. These results are expected to be widely utilized as basic research for the diffusion of AI in industry and provide practical and policy implications for promoting the adoption of AI in SMEs.

• Journal of The Korean Association of Information Education
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• v.22 no.3
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• pp.317-324
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• 2018

This study analyzes elementary school teachers' perception of Artificial Intelligence, educational effect, and necessity in education. To analyze teachers' perceptions, we developed questionnaires with expert advice. We collected questionnaires for 151 elementary school teachers. The collected data were analyzed by t-test and one-way ANOVA. As a result, AI' perceptions of female teachers were lower than those of male teachers and the necessity of education was less. Teachers with experience in leading schools recognized that AI education would help to improve creativity. Teachers who have a lot of teaching experience, many experience in SW education, the experience in SW education have a high interest in AI and understand the relevance of the subject. We expect that this study will help the direction of SW education.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.47-56
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• 2020

The purpose of this study is to comprehensively analyze elementary school teachers' perceptions of the use of artificial intelligence in education. Recently, interest in the use of artificial intelligence has increased in the field of education. However, there is a lack of research on the perceptions of elementary school teachers using AI in education. Using descriptive statistics, multiple linear regression analysis, and semantic differential meaning scale, 69 elementary school teachers' perceptions of using AI in education were analyzed. As a results, artificial intelligence technology was perceived as most suitable method for assisting activities in class and for problem-based learning. Factors which influence the use of AI in education were learning contents, learning materials, and AI tools. AI in education had the features of personalized learning, promoting students' participation, and provoking students' interest. Further, instructional strategies or models that enable optimized educational operation should be developed.

• Journal of agricultural medicine and community health
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• v.34 no.1
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• pp.58-66
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• 2009

Objectives: Active participation of poultry breeder in surveillance system of Avian Influenza (AI) is very important. Therefore this study was conducted to present basis data for active report of AI that is affected by media's coverage in poultry breeder. Methods: Subjects were 88 persons, 28 who were poultry breeder at epidemic area of AI and 60 who were general person at non-epidemic area. Data were collected by the trained investigator from Jul. 1 to Aug. 31, 2008. Respondents were interviewed by means of a structured questionnaire. Results: The third-person effect among perceptions of influence in media's report on the AI was higher in breeder (32.1%) than in non-breeder (10.0%). However, Confidence to media report on the AI was lower in breeder than in non-breeder. Intention to report of the AI was 71.4% in breeder respectively, was 90.0% in non-breeder. There was statistically significant lower in breeder than non-breeder. The cause of avoidance of report was 'economic damage' for 87.5%, which acocounted for the majority of cases. Confidence to media report on the AI were positively correlated with concern on the AI and perception on seriousness of the AI, but negatively correlated with the third-person effect. Conclusions: These results showed that intention to report of the AI of breeder was susceptible to influenced by the third person effect and confidence in media's report on the AI. Therefore we should give a special attention to increase active report of poultry breeder during epidemic period of AI which is consideration of reasonable strategy of media's coverage, including mind and emotion state of poultry breeder.