• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.316-324
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• 2020

It has experienced how difficult People with foreign language learning, it is to pronounce a new language different from the native language. The goal of various foreigners who want to learn Korean is to speak Korean as well as their native language to communicate smoothly. However, each native language's vocal habits also appear in Korean pronunciation, which prevents accurate information transmission. In this paper, the pronunciation of Chinese learners was compared with that of Korean. For comparison, the fundamental frequency and its variation of the speech signal were examined and the spectrogram was analyzed. The Formant frequencies known as the resonant frequency of the vocal tract were calculated. Based on these characteristics parameters, the classifier of the Supporting Vector Machine was found to classify the pronunciation of Koreans and the pronunciation of Chinese learners. In particular, the linguistic proposition was scientifically proved by examining the Korean pronunciation of /ㄹ/ that the Chinese people were not good at pronouncing.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.2
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• pp.143-153
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• 2009

This paper identifies some natural habits and patterns of children's and adolescents' information seeking and use by drawing a wide range of studies conducted with children and adolescents as study participants. The patterns reported here indicate that children's and adolescents' information seeking and use are affected by the nature of information tasks, the qualities of access tools, their cognitive ability to seek and use information, and their prior knowledge and experience about the tasks and topics given. The findings should provide insights for identifying future research issues as well as for programming the information environments particularly conducive to learning.

• Korean Journal of Food Science and Technology
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• v.44 no.1
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• pp.121-134
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• 2012

This study was conducted to investigate the acceptance of vegetable menus by high school students and the factors that influence the acceptability. Second-grade high school students (n=389) in Seoul were asked to assess their acceptability of vegetable menus and plate waste, and answered survey questions concerning their demographic characteristics, health-related attitudes, dietary attitudes, dietary habits, and nutritional knowledge. Overall, the menus containing items that were sweet or familiar to the subjects were preferred. Acceptability was significantly associated with the amount of consumption. The acceptability was correlated with dietary habits, dietary attitudes, nutritional knowledge, and several health-related variables. The vegetable-liking groups showed significantly higher scores concerning dietary habits, dietary attitudes, and nutritional knowledge, but did not exhibit a specific pattern of association with the health-related variables. This result implies that intervention strategies focusing on changes in cognitive and/or hedonic factors, such as nutritional education or flavor-flavor learning, would be beneficial for increasing students' acceptance of vegetable menus.

• Journal of Korean Home Economics Education Association
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• v.34 no.3
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• pp.149-167
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• 2022

The purpose of this study was to identify learning topics linked to Sustainable Development Goals(SDGs) in the dietary life unit of middle school technology and home economics textbooks and to develop teaching-learning plans and learning materials to verify the feasibility and field suitability. This study was carried out through analysis, design, development, and evaluation stages, and the results are as follows. First, in the analysis stage, the dietary life contents of the five home economics textbooks written based on the 2015 revised curriculum were analyzed, and dietary life-related goals were extracted from the 169 SDG targets to reorganize the learning topics linked to the contents of the textbooks. Second, in the design stage, the overall goal of the entire class was set and each session was designed by selecting the learning goals, learning topics, and learning contents, reflecting the SDGs related to the session to be developed. Based on the analyses of textbooks and the SDGs related to dietary life, the themes of 'desirable eating habits of adolescents', 'food production', 'food distribution', and 'food consumption and disposal' were extracted. Third, in the development stage, a total of 11 teaching-learning plans and student worksheets were developed, and an evaluation sheet was developed for expert verification. Fourth, in the evaluation stage, the feasibility and field suitability of the teaching-learning plans were verified by 5 home economics teachers. Learning goals, learning contents, connectivity to related SDGs, and feasibility of teaching-learning plan were evaluated, and based on the assessment results, teaching-learning plans were revised.

• Education of Primary School Mathematics
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• v.26 no.4
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• pp.333-348
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• 2023

Clear analysis and diagnosis of various characteristic factors of individual students is the most important in order to realize individual customized teaching and learning, which is considered the most essential function of math artificial intelligence-based digital textbooks. In this study, analysis factors and tools for individual customized learning diagnosis and construction models for data collection and analysis were derived from mathematical AI digital textbooks. To this end, according to the Ministry of Education's recent plan to apply AI digital textbooks, the demand for AI digital textbooks in mathematics, personalized learning and prior research on data for it, and factors for learner analysis in mathematics digital platforms were reviewed. As a result of the study, the researcher summarized the factors for learning analysis as factors for learning readiness, process and performance, achievement, weakness, and propensity analysis as factors for learning duration, problem solving time, concentration, math learning habits, and emotional analysis as factors for confidence, interest, anxiety, learning motivation, value perception, and attitude analysis as factors for learning analysis. In addition, the researcher proposed noon data on the problem, learning progress rate, screen recording data on student activities, event data, eye tracking device, and self-response questionnaires as data collection tools for these factors. Finally, a data collection model was proposed that time-series these factors before, during, and after learning.

• Journal of the Korean School Mathematics Society
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• v.19 no.3
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• pp.277-289
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• 2016

This study is to figure out the activity of individual education with the note-taking in math class and correction and supportive explanations on attitudes toward learning of underachievers in mathematics in the second-year class of high school. This study has begun on the basis of the judgement that the note-taking especially correction and supportive explanations could help the underachievers in mathematics focus in class and develop good learning habits, and besides, students make a good relationship with teacher. According to this result, Many researches and exertions need to inform every student that mathematics is open and doing mathematics is a happy object. if the students who are underachievers were given the chance to organize their learning by themselves in the class with note-taking and correction and supportive explanations in the long-term, it should be effective enough to change their attitudes toward learning.

• The KIPS Transactions:PartB
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• v.18B no.3
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• pp.165-172
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• 2011

In this paper, we propose Ant-Q learning Algorithm[1], which uses the habits of biological ants, to find a new way to solve Stable Marriage Problem(SMP)[3] presented by Gale-Shapley[2]. The issue of SMP is to find optimum matching for a stable marriage based on their preference lists (PL). The problem of Gale-Shapley algorithm is to get a stable matching for only male (or female). We propose other way to satisfy various requirements for SMP. ACS(Ant colony system) is an swarm intelligence method to find optimal solution by using phermone of ants. We try to improve ACS technique by adding Q learning[9] concept. This Ant-Q method can solve SMP problem for various requirements. The experiment results shows the proposed method is good for the problem.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.199-208
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• 2023

The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.

• Journal of Korean society of Dental Hygiene
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• v.20 no.2
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• pp.119-128
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• 2020

Objectives: This study aimed to analyze the textbook content, specifically that of the oral health units, of Korean elementary health textbooks in order to discuss oral health education in elementary schools through textbooks. Methods: The study analyzed the "oral health" units of six health textbooks for students in the fifth and sixth grades of elementary school in Korea. It identified the number of pictures, practice contents, and summaries in the textbooks, calculating the proportion of oral health units relative to the total number of pages in the textbook and comparing the learning goals provided by the WHO with the education contents. In addition, the study also analyzed several keywords from the textbooks in terms of whether they relate to oral health. Results: The comprehensive analysis on the oral health units within the three health textbooks analyzed revealed that all three were similar, except that the textbook from publisher A did not include an introduction. The three textbooks also had differences in terms of the organization of the contents. In terms of the learning goals of the oral health units, there were differences between the WHO standards and the learning goals from the textbooks, with the WHO standards only partially reflected. The analysis also showed that there were more keywords on oral diseases than those related to oral health management and prevention. Conclusions: Improvements should be made regarding the learning goals and education topics of health education in order to ensure that children receive a more systematic oral health education in their earlier years, which will help to develop and correct oral health management habits among elementary school students.

• Korean Journal of Human Ecology
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• v.19 no.1
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• pp.63-74
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• 2010

The purpose of the study was to examine the actual conditions of caregiver-infant ratios, group-room activity areas, evaluations of infant programs and caregiver-infant interactions based on structural and process indicators which are major factors of infant care. The subjects were 20 caregivers and 91 infants from 14 infant classes of 13 day care centers in Daejeon. An actual survey was conducted on caregiver-infant ratios and group-room activity areas, and teaching-learning plans for infants and daily schedules were gathered for the evaluation of infant programs. The caregiver-infant interactions were observed every one minute for a total of 20 minutes using Lee Wan Jeong's "Evaluation Measure of Caregiver-infant Interactions"(1999). The results of this study were as follows: First, caregiver-infant ratios ranged from 2.5 to 7 infants per caregiver, resulting in the difference of the number of infants. Second, the 14 classes for one-year-old infants were arranged in three different ways; 5 classrooms with distinctive activity areas, 2 without any divided areas and 7 containing a mix of partial activity areas. Third, in teaching-learning plans for infants, there were a large number of topics related to seasonal features and experiences while the fewest were about basic life habits. Fourth, in the caregiver-infant interactions, caregivers used more positive interactions and linguistic modeling than sensitive responses to infants and social interactions.