• The Journal of the Convergence on Culture Technology
• /
• v.8 no.5
• /
• pp.59-69
• /
• 2022

The purpose of this study is to suggest improvement directions by analyzing the meaning of the 2022 revised curriculum. Research methods include literature research, surveys, and interviews. The conclusion is as follows. First, The background of the promotion has been revised to cultivate the competencies necessary for the future society and to strengthen the learner-tailored education. Second, what characterizes the 2022 revised curriculum is that it is being created in collaboration with people as a future-oriented curriculum for the first time in history. Third, the implementation of the 2022 revised curriculum is being directed towards individuality and diversity, decentralization and autonomy, digitally based education, and public performance and accountability. Fourth, the principal contents are curriculum innovation in response to future changes, cultivating community values and capacity building for learners, strengthening education for elementary, middle, and high school students to develop digital and AI literacy, and strengthening the curriculum for all.

• Journal of The Korean Association of Information Education
• /
• v.25 no.6
• /
• pp.1005-1013
• /
• 2021

With the prolonged COVID-19, the existing academic gap is widening. The purpose of this study is to provide homeroom teachers with a visual confirmation of the academic achievement gap in grades and classrooms through academic achievement analysis, and to use this to help them design lessons and explore ways to improve the academic achievement gap. The data of students' Korean and math diagnostic evaluation scores at the beginning of the school year were visualized as clusters using the K-means algorithm, and as a result, it was confirmed that a meaningful clusters were formed. In addition, through the results of the teacher interview, it was confirmed that this system was meaningful in improving the academic achievement gap, such as checking the learning level and academic achievement of students, and designing classes such as individual supplementary instruction and level-specific learning. This means that this academic achievement data analysis system helps to improve the academic gap. This study provides practical help to homeroom teachers in exploring ways to improve the academic gap in grades and classes, and is expected to ultimately contribute to improving the academic gap.

• Journal of Practical Engineering Education
• /
• v.14 no.3
• /
• pp.459-469
• /
• 2022

The purpose of this study is to explore the educational effect by developing and applying a decision tree-based artificial intelligence convergence education program. To achieve the purpose of this study, the study was conducted through a three-step process of preparation, development, and improvement. In addition, it consisted of four stages of the creative problem-solving process: 'Understanding the problem', 'Idea search and development', 'realization' and 'evaluation'. In particular, the artificial intelligence convergence education program developed in this study is an unplugged activity that does not include programming. Therefore, it is very noteworthy that artificial intelligence convergence education was implemented in subjects other than technology and home economics education, and information education, which are part of junior engineering education, and practical arts education in elementary education, which is a subject that learns Artificial Intelligence technology including programming during class time. In other words, it shows that AI technology can be integrated and taught in most subjects, not specific subjects and has great significance in that it can utilize the concepts and principles of artificial intelligence technology when teaching the concept of classification, which is included in the curriculum.

• Journal of The Korean Association of Information Education
• /
• v.23 no.6
• /
• pp.583-590
• /
• 2019

The purpose of this study is to develop an educational program for learning deep learning concepts for elementary school students. The model of education program was developed the deep-learning teaching method based on CT element-oriented teaching and learning model. The subject of the developed program is the artificial intelligence image recognition CNN algorithm, and we have developed 9 educational programs. We applied the program over two weeks to sixth graders. Expert validity analysis showed that the minimum CVR value was more than .56. The fitness level of learner level and the level of teacher guidance were less than .80, and the fitness of learning environment and media above .96 was high. The students' satisfaction analysis showed that students gave a positive evaluation of the average of 4.0 or higher on the understanding, benefit, interest, and learning materials of artificial intelligence learning.

• Korean journal of food and cookery science
• /
• v.26 no.6
• /
• pp.699-706
• /
• 2010

Since atopic dermatitis requires continuous care, the role of a patient's parents is important. However, the majority of parents cause even more serious situations by limiting allergy-inducing foods too much, causing an imbalance in nutrition and decline in immunity. Therefore, educating parents systematically and repeatedly via personal computer or smart phone could help to prevent and manage atopic dermatitis. In this study, 126 recipes of 4 seasons were developed for the parents of atophy students by using food with least chemical additives. After developing these recipes, a blog named "Atop" meaning "atophy stop" was made with these recipes and cooking step photos. In this blog, the visitors who used these recipes showed improvement responses of atopic dermatitis management. The results of this study show that further nutrition education programs such as this blog should be developed continuously and an effective evaluation tool must be also developed for the further prevention and management of atopic dermatitis.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.1
• /
• pp.273-285
• /
• 2024

With the active utilization of Online Judge (OJ) systems in the field of education, various studies utilizing learner data have emerged. This research proposes a problem recommendation based on a user-based collaborative filtering approach with learner data to support learners in their problem selection. Assistance in learners' problem selection within the OJ system is crucial for enhancing the effectiveness of education as it impacts the learning path. To achieve this, this system identifies learners with similar problem-solving tendencies and utilizes their problem-solving history. The proposed technique has been implemented on an OJ site in the fields of algorithms and programming, operated by the Chungbuk Education Research and Information Institute. The technique's service utility and usability were assessed through expert reviews using the Delphi technique. Additionally, it was piloted with site users, and an analysis of the ratio of correctness revealed approximately a 16% higher submission rate for recommended problems compared to the overall submissions. A survey targeting users who used the recommended problems yielded a 78% response rate, with the majority indicating that the feature was helpful. However, low selection rates of recommended problems and low response rates within the subset of users who used recommended problems highlight the need for future research focusing on improving accessibility, enhancing user feedback collection, and diversifying learner data analysis.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.85-91
• /
• 2021

School violence has long been recognized as a social problem, and various efforts have been made to prevent it. In this study, we propose a system that can prevent school violence by analyzing data on the frequency of conversations between students, and identify peer relationships. The frequency of conversations between students in the class was quantified using a rating scale questionnaire, and this data was grouped into the appropriate number of clusters using the K-means algorithm. Additionally, the homeroom teacher observed the frequency and nature of conversations between students, and targeted specific individuals or groups for counseling and intervention, with the aim of reducing school violence. Data analysis revealed that the teachers' qualitative observations were consistent with the quantified data based on student questionnaires, and therefore applicable as quantitative data towards the identification and understanding of student relationships within the classroom. The study has potential limitations. The data used is subjective and based on peer evaluations which can be inconsistent as the students may use different criteria to evaluate one another. It is expected that this study will help homeroom teachers in their efforts to prevent school violence by understanding the relationships between students within the classroom.

• Journal of The Korean Association of Information Education
• /
• v.25 no.2
• /
• pp.309-315
• /
• 2021

This study is about the direction of how to compose the information domain curriculum in the domestic subject matter centered curriculum system. To this end, subject-centered and competency-centered curriculum were compared and analyzed, and how the information domain was organized in two types was suggested. In spite of emphasizing competency, the domestic curriculum was judged to be inclined to the subject-centered curriculum because it emphasized the presentation of national-level educational goals, a subject learning model, and textbooks. As examples of the information domain subject-centered curriculum, the information domain of the elementary practical subject and the middle school information curriculum were presented, and the SW convergence curriculum was presented as an example of a progressive curriculum. Under such circumstances, it was emphasized that in order for the learner to lead a life in an intelligent society in the future through the information domain including SWAI content, it must be explicitly described in a subject-centered perspective with computer science as the parent study.

• Communications of Mathematical Education
• /
• v.37 no.3
• /
• pp.497-516
• /
• 2023

The purpose of this study is to explore the possibility of enhancing teachers' pedagogical design capacity using ChatGPT. For this purpose, a survey was conducted to investigate preservice teachers' perceptions of ChatGPT, and lesson plans created using ChatGPT were analyzed from the perspectives of design elements, conversations with ChatGPT, and information transforming. The results showed that pre-service teachers have a rather passive attitude toward the use of ChatGPT, and that teacher moderation and ChatGPT characteristics affect pre-service teachers' perceptions of the use of ChatGPT. In addition, pre-service teachers mainly used ChatGPT for motivational activities and play activities, and there were significant differences in the level of utilization of ChatGPT among individuals, i.e., how they interacted with ChatGPT and how they transformed information. Based on these findings, we explored the possibility of using ChatGPT for teacher professional development and teacher education.

• Korean Journal of Community Nutrition
• /
• v.15 no.6
• /
• pp.717-726
• /
• 2010

This study was conducted to investigate health status and nutrient intakes among 5th grade elementary students at Korea Centers for Disease Control and Prevention 2010. This study was cross-sectional study on 1,384 children (687 boys, 697 girls) from nine elementary schools located in Seoul and Gyeonggi province. The average height, weight and BMI were 145 cm, 40.6 kg $19.2\;kg/m^2$ for boys and 145.4 cm, 38.2 kg, $18.0\;kg/m^2$ for girls. The prevalence of overweight and obesity were 11.3%, 5.2%, respectively. Serum AST, ALT, glucose, HDL-Cholesterol and RBC levels were significantly higher, while TG levels was significantly lower for boys than for girls. The average energy intake was 1772.4 kcal, which was 98.7% of Estimated Energy Requirement (EER). The boys consumed more energy intake (1800.4 kcal) than the girls (1744.7 kcal). Also, they took insufficient calcium and folate (69.1% and 83.3% of Recommended Intake (RI)) and excess sodium (297.6% of Adequate Intake (AI)) and 85.1% of the subjects had breakfast everyday. In general, the proportion of the children who consumed fruits and vegetables at least once or more a day was low. There was a higher proportion of children in boys who had ramyun and milk with sufficient physical activity than those in girls. As a result of this study, we can find risk factors on obesity and metabolic disorders, and the results can be used for an evidence of nutrition education program and the intervention program.