• The Korean Journal of Community Living Science
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• v.23 no.4
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• pp.523-535
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• 2012

This study was conducted to investigate and improve experiences regarding breastfeeding education. Questionnaires were distributed to 185 women with children 24 months of age and younger. The period of breastfeeding was about 7.2 months and showed significant differences (p<0.01) according to women's age. About 56% of the respondents participated in breastfeeding education. Women with 3 or more children showed the highest rates of participation compared to the women in other groups(p<0.05). The reason for nonparticipation showed significant differences (p<0.05) according to women's occupation. The biggest reason for nonparticipation was 'lack of time' for housewives and 'no information' for working women. The subjects of education were benefits(20%) and techniques(19%) of breastfeeding, breast care before and after delivery(15%), nutrition care for breastfeeding mothers(11%), etc. The teaching method used most frequently was lecturing(32%). Around 81% of women were not satisfied with their breastfeeding education. The most useful subject was breastfeeding techniques(59%). Thirty percent of women pointed out that 'assessing mother's milk quantity' was the subject which women wanted to learn but were not taught enough about. Around 76% of women wanted more education and preferred personalized education such as home visitation(35%) and personal counselling(27%). Desired education methods showed significant differences(p<0.05) according to women's occupations. 'Home visitation' was the most preferred method for housewives and 'personal counselling' for working women. These results showed breastfeeding education was not helpful for practical life. Therefore, breastfeeding education should reflect women's individual needs to heighten its effectiveness.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.33-39
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• 2019

Edutech, which combines education and information technology, is in the spotlight. Core technologies of the 4th Industrial Revolution have been actively used in education. Students use an AI-based learning platform to self-diagnose their needs. And get personalized training online with a cloud learning platform. Recently, a new educational medium called smart speaker that combines artificial intelligence technology and voice recognition technology has emerged and provides various educational services. The purpose of this study is to suggest a way to use smart speaker educationally to overcome the limitation of existing education. To this end, the concept and characteristics of smart speakers were analyzed, and the implications were derived by analyzing the contents provided by smart speakers. Also, the problem of using smart speaker was considered.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.265-275
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• 2019

The purpose of this study was to explore factors that physical education graduate students in graduate school of education drop out of teacher appointment examination of secondary school by using Ecological Model. The in-depth interview was conducted for 10 physical education graduate students studying in school of education. As an aspect of the intrapersonal component, the effort to apply how participants'current job positively affects their preparation for teacher appointment examination is required and they need to clearly decide academic priorities to prepare for teacher appointment examination. As an aspect of interpersonal component, participants are negatively affected by subjective norm, thereby providing personalized mentoring program is required. As an aspect of organizational component, limited tuition support and inappropriate place to study are emphasized, so practical helps like sports practice instructor or teacher appointment examination preparation class is required. Finally, this study suggests the introduction of integrated system for teacher appointment examination.

• Communications of Mathematical Education
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• v.34 no.4
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• pp.545-561
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• 2020

The purpose of this study is to investigate the applications and possibilities of major programs that provide services using artificial intelligence in mathematics education. For this study, related papers, reports, and materials were collected and analyzed, focusing on materials mostly published within the last five years. The researcher searched the keywords of "artificial intelligence", "artificial intelligence", "AI" and "mathematics education" independently or in combination. As a result of the study, artificial intelligence for mathematics education was mostly supporting learners' personalized mathematics learning, defining it as an auxiliary role to support human mathematics teachers, and upgrading the technology of not only cognitive aspects but also affective aspects. As suggestions, the researcher argued that followings are necessary: Research for the establishment of an elaborate artificial intelligence mathematical system, discovery of artificial intelligence technology for appropriate use to support mathematics education, development of high quality of mathematics contents for artificial intelligence, and the establishment and operation of a cloud-based comprehensive system for mathematics education. The researcher proposed that continuous research to effectively help students study mathematics using artificial intelligence including students' emotional or empathetic abilities, and collaborative learning, which is only possible in offline environments. Also, the researcher suggested that more sophisticated materials should be developed for designing mathematics teaching and learning by using artificial intelligence.

• Journal of The Korean Association of Information Education
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• v.13 no.2
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• pp.127-134
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• 2009

As wireless-internet and mobile computer revitalizes, various teaching and learning strategies are appearing. In this study, we suggest a new integrated teaching method in u-learning environment effectively. First of all, to apply information technique to education effectively, we grasped various educational factors centered on learners. And then, we categorized them into contents, time and space as three vital factors and analyzed. Next, by combining the important factors, we suggested the new integrated teaching and learning strategy. We also operated personalized the integrated teaching for elementary school students and verified the effect. As a result, we learned that the integrated teaching was effective in the area of higher-level thinking presented as an effectiveness index, learning motivation and self-directed learning. That is, this study will promote excellence in education centered on learners in the hereafter u-learning environment and support general integrated education effectively.

• 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.

• The KIPS Transactions:PartA
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• v.13A no.5 s.102
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• pp.473-480
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• 2006

Recently, remote education systems for web-based teaching-studying are rapidly increased. Also, a request for customized courseware suitable for individual learner's level and learning pattern is increasing. But, most remote education systems do not provide customized learning service fit for each learner's level and lots of learners easily lose their interest in studying. Therefore, a lot of researchers have tried to provide personalized customized learning service by analyzing leaner's level and learning pattern automatically with agents. In this paper, we designed and implemented a customized courseware for studying the computer application. There are four agents such as professor, assistant, student, and monitor agent in CCA and they cooperate with each other to provide learning contents suited to each learner's level.

• Journal of Engineering Education Research
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• v.3 no.2
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• pp.24-30
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• 2000

Internet application for education has drawn interests in recent time. Usually the method of communication was unidirectional, which means teachers posted educational material on a server and students received them. Even the usage of WWW can't overcome the restriction of unidirectional communication problem. In order to solve this problem, researchers and commercial vendors began to provide packages for bidirectional solution. WBT(Web Based Test) is important subject in this viewpoint. In this paper, the development and application of the 'Module Study' will be presented. The system realize the powerful personalized tutoring, which is even beyond the capability of conventional WBT, and propose a new direction of Web Based Learning.

• Korean Journal of Community Nutrition
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• v.16 no.6
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• pp.716-729
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• 2011

This study aimed to plan nutrition support programs for the elderly living alone whose nutrition status were seriously concerned, conducted seven stages nutrition intervention program on a trial basis, and evaluated the effectiveness of the program of the Elderly Nutrition Support Project. Subjects were selected for personalized nutrition management based on nutritional risk score and nutrition intervention were tailored to the problems occurred. The elderly nutrition support program targets were 44 senior citizens who lived alone with low income. The 33 (as Type 1) of the subjects with whom milk, tofu, seaweed, eggs, black beans have been supported, and also provide nutrition education, and the rest 11 persons (as Type 2) to whom food was not supported but provide nutrition education programs. As a result, all subjects showed that compared with pre and post program implementation, their daily exercise time and milk and protein consumption level were increased and some improvement was observed regular meals consumption and low-salt diets. Their nutrient intake level such as calories, protein, calcium, iron improved after implementation. In addition, NSL DETERMINE scores significantly improved from 13.21 to 7.24 in Type 1 and 11.27 to 9.91 in Type 2. As positive dietary behavioral changes were observed as in that they purchased more protein and calcium rich foods.

• 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.