• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.401-408
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• 2023

In this study, a career exploration program was developed for athletic students. Therefore, existing research on career exploration for athletics was analyzed, requirements were identified, and a learning plan was designed. Based on this, a step-by-step educational program was developed. In addition, since research on career exploration for athletic students was not active in previous studies, 'problem definition' - 'data collection' - 'data preprocessing' - 'data analysis' by referring to existing career exploration studies that were studied in the school field. - 'Data visualization' - 'Simulation analysis' were divided into stages to conduct the study. Through this study, it is expected that research on vocational education for athletic students will be more active.

• Journal of Korean Elementary Science Education
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• v.43 no.1
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• pp.148-157
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• 2024

The purpose of this study was to develop an artificial intelligence-based marine ecological education program to improve the ecological sensitivity of elementary school students. The program was taught 11 times within 4 weeks, and an ecological sensitivity test was conducted before and after the program. The statistical results of the tests showed that the developed program improved the ecological sensitivity of elementary school students. Through in-depth interviews, improvements were found in all the areas, such as empathy for the living things, interest in nature, enjoyment of nature, and wonder about nature. Through the marine ecological classes, which used artificial intelligence and virtual reality, the students were able to get closer to nature, and the student participation activities showed a positive effect on their ecological sensitivity. This indicates that experience-oriented education methods are more effective than simple explanatory classes to improve the students' ecological sensitivity, and artificial intelligence technology proved effective in increasing the students' immersion in the class.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.209-214
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• 2024

This is an extended research paper focusing on the applications of Machine Learing and Artificial Intelligence in virtual learning environment. The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices. Also, researchers have focused on the future of ML and AI in any academic program. This research is descriptive in nature; results are based on qualitative analysis done through tools and techniques of EL applied in KKU as an example but the same modus operandi can be implemented by any institution in its EL platform. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources, therefore these tools are considered by the researchers for explaining the results of ML and AI.

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

• Journal of Korean Academy of Nursing Administration
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• v.9 no.2
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• pp.283-295
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• 2003

This study describes the development of nursing education program on web-based instruction for Nursing Management Practice of nursing school. The program has been developed based on five steps of the teaching-learning design model developed by Chung, In-Sung which is widely used in Web-Based Instruction(WBI). The objective of this study was to develop nursing education program on WEI and to evaluate its effectiveness. The subjects consisted of twenty-four senior nursing students taking the Nursing Management Practice course. Two sets of questionnaires were used for this study. They were asked to evaluate the program in terms of appropriateness of the teaching strategy, precision of the contents, easiness of use, easiness of approaching system, interface design, system management, enhancement of communication, and effectiveness of learning. The program was developed in five steps, analysis of the student, design of the contents, production of the system, implementation of the system, and evaluation of the effectiveness. It is concluded that this program was very useful in increasing the effectiveness of learning and motivation in the students. In addition to this, the web-based learning system would be one of the best qualified educational method for nursing students. Therefore, I would suggest that it can be used for other nursing courses which is available on the Web.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.1-6
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• 2020

In this paper, we propose a new program for university student's IT leadership renovation. Automation and Artificial Intelligence(AI) are changing the nature of work. According to MGI report, they will change the skills needed in the workforce. Leadership is one of the skills needed more of in the future at workplace including IT industry. Leadership could be defined as having 5 level leadership. According to the 5 level leadership, a program was formulated to renovate university student's self-leadership, teamwork, team leadership and finally global leadership. We named the program as Stepping-Stone Platform for Student's IT Leadership Renovation(SSP-SLR). Each level of four stepping stones consists of one semester. Student can raise their leadership skills by the program step by step. Various instruction learning methodologies are adopted to the program, including Flipped learning which has been proved effective in many ways in the field of education recently.

• Journal of Nutrition and Health
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• v.42 no.8
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• pp.759-769
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• 2009

This study investigated the effects of the nutrition education and exercise program on body composition, dietary intakes and physical fitness in obese women. The subjects were 44 obese women (BMI${\geq}$ 25 kg/$m^2$) who had been participating in nutrition education (1 time/week) and exercise program (3 time/week) for 12 weeks. Nutrition education was focused on low energy, high protein and low carbohydrate diet to reduce the body weight and improve the diet quality. To evaluate the effectiveness of the program, daily nutrient intakes were assessed by 24-hour recall method. Body composition, blood lipid profiles and physical fitness test were assessed before and after the intervention. After the intervention, body weight, BMI, percent body fat, soft lean mass and waist/hip ratio were significantly decreased (p < 0.001). Fasting blood sucrose, total cholesterol, LDL-cholesterol and atherogenic index (AI) were significantly decreased (p < 0.001), while HDLcholesterol was significantly increased (p < 0.001). Energy adjusted protein, fiber, vitamin A, vitamin $B_2$, vitamin $B_6$, vitamin C, vitamin E, niacin and folate were significantly increased. After the intervention, the muscle endurance, muscle strength, agility, balance were significantly increased. The changes in obesity indices (body weight, BMI, percent body fat, waist-hip ratio) were correlated with the changes of the nutrient intakes, serum lipid profiles, physical fitness. These results show that nutrition education and exercise program was effective not only for weight reduction but also for the improvement of physical strength and cardiovascular disease risk factors in obese women.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.751-759
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• 2021

This study developed an artificial intelligence education program using localized public data as an educational method for improving computing thinking skills of elementary school students. According to the ADDIE model, the program design was carried out based on the results of pre-requisite analysis for elementary school students, and textbooks and education programs were developed. Based on localized public data, the training program was constructed to learn the principles of artificial intelligence using machine learning for kids and scratches and to solve problems and improve computational thinking through abstracting public data for purpose. It is necessary to put this training program into the field through further research and verify the change in students' computational thinking as a result.

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

• Communications of Mathematical Education
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• v.37 no.1
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• pp.21-45
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• 2023

This study presents a machine learning program designed to identify impactful papers in the field of mathematics education. To achieve this objective, we examined the impact of papers from a scientific econometrics perspective, developed a mathematics education research network, and defined the impact of mathematics education research using PageRank, a network centrality index. We developed a machine learning model to determine the impact of mathematics education research and identified the journals with the highest percentage of impactful articles to be the Journal for Research in Mathematics Education (25.66%), Educational Studies in Mathematics (22.12%), Zentralblatt für Didaktik der Mathematik (8.46%), Journal of Mathematics Teacher Education (5.8%), and Journal of Mathematical Behaviour (5.51%). The results of the machine learning program were similar to the findings of previous studies that were read and evaluated qualitatively by experts in mathematics education. Significantly, the AI-assisted impact evaluation of mathematics education research, which typically requires significant human resources and time, was carried out efficiently in this study.