• Journal of People, Plants, and Environment
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• v.23 no.2
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• pp.149-158
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• 2020

The purpose of this study was to establish the role of master gardener coordinators and develop an education program to enhance their job competencies. To analyze and develop the new job of master gardener coordinator, we used the CBC method for curriculum development. The research findings can be summarized as follows. The analysis result of need and importance of education based on the performance level and demand level revealed 20 core competencies, which were classified into organizational education, learning by experience, individual learning, low-priority competencies for program development, with focus on the importance and need for education. The 17 courses are comprised of Eastern and Western Garden History, Understanding of Community Garden, Garden Aesthetics and Environmental Design, Master Gardener's Mission & Management, Garden Plants, and Garden Design and Practice etc. and the curriculum is 33 hours in total. The master gardener coordinator education program was conducted on 73 rural extension workers and the curriculum was evaluated by those who completed the program. The overall satisfaction was 4.29 and 97.1% of the trainees decided that the program would help them perform their duties. The analysis result discovered that all 20 core competencies increased after the program. As a result of conducting contingent valuation to determine the value of the program, willingness to pay (WTP) per hour was KRW 33,223 and the total WTP was KRW 1.096 million, which, when multiplied by 73 participants, is approximately KRW 80.008 million. This is relatively higher than the budget used (KRW 22.943 million), indicating that the program is worth it.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.155-164
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• 2022

Considerable interest has been directed toward utilizing virtual environment-based simulations for teacher education which provide authentic experience of classroom environment and repetitive training. Emotional Interaction should be considered for more advanced simulation learning performance. Since emotion is important factors in creative thinking, inspiration, concentration, and learning motivation, identifying learners' emotional interactions and applying these results to teaching simulation is essential activities. In this context, this study aims to identify the objective data for the empathetic response through the movement of the learner's EEG (Electroencephalogram) and eye-tracking, and to provide clues for designing emotional teaching simulation. The results of this study indicated that intended empathetic response was provided and in terms of valence (positive and negative) states and situational interest played an important role in determining areas of interest. The results of this study are expected to provide guidelines for the design of emotional interactions in simulations for teacher education as follow; (a) the development of avatars capable of expressing sophisticated emotions and (b) the development of scenarios suitable for situations that cause emotional reactions.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.368-374
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• 2022

Children are by nature curious and enthusiastic about learning and love to explore and search for everything they see around them, but as a result of this exploration they may sometimes be exposed to dangerous situations ranging from falls to poisoning and suffocation. That is why when supporting a child's natural desire to explore the world and supporting his awareness of dangerous situations and good handling of them, helps him build a conscious scientific mind and enhance his curiosity in the natural world. It is not easy to imagine a difficult situation in which we or one of our family is in danger, unable to help ourselves or to help them in time, due to our complete ignorance of the rules of first aid. Hence the importance of learning first aid not only for the child but for the community and the world at large. "Hakeem" is an Arabic E-health educational application that aims to teach children from the age of six to eleven years first aid, in our belief that the seed of renaissance lies in the care and education of children, and the lack of Arabic content that aims to teach children first aid skills. The idea is to create a scenario in which the child is responsible for saving the person who will be in a dangerous situation using Augmented Reality (AR) technology, to increase engagement and interaction and provides a rich user experience, and according to the child's performance, he will get reward points. The game will have several levels: Beginner, Intermediate, and Hakeem, and based on the player's points he will get a title and move to the next level, and when he reaches the end, he will get the certificate.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.279-286
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• 2022

The purpose of this study is to present a case of the development and application of a one-time special lecture program that requires the use of computers in frontline elementary and secondary schools. For this purpose, the researcher developed an Arduino-based special lecture program that works as a teaching tool to help with the functions of a student PC with a Raspberry Pi. This special lecture program was applied at three elementary and middle schools near K-University, and then the program was evaluated. The results of this study are as follows. First, the researcher developed a teaching aid for PC functions to be used in special lectures. Second, teaching and learning materials for visiting special lecture education programs using Arduino were developed. Third, in the special lecture, a teaching-learning method was used to guide a small number of students individually. Fourth, the special lecture program resulted in high satisfaction. The results of this study can be a useful reference for teachers who plan one-time special lecture programs requiring computers or for those who want to apply physical computing-related devices in an educational field.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.369-376
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• 2021

With the development of artificial intelligence (AI) technology, discussions on the use of artificial intelligence are actively taking place in many fields, and various policies for nurturing artificial intelligence talents are being promoted in the field of education. In this study, we propose a robot programming framework using artificial intelligence technology, and based on this, we use Python, which is used frequently in the machine learning field, and an educational robot that is highly utilized in the field of education to provide artificial intelligence. (AI) education program was proposed. The level of autonomous driving (levels 0-5) suggested by the International Society of Automotive Engineers (SAE) is simplified to four levels, and based on this, the camera attached to the robot recognizes and detects lines (objects). The goal was to make a line detector that can move by itself. The developed program is not a standardized form of solving a given problem by simply using a specific programming language, but has the experience of defining complex and unstructured problems in life autonomously and solving them based on artificial intelligence (AI) technology. It is meaningful.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.2
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• pp.70-77
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• 2019

Breast ultrasound readings are very important to diagnose early breast cancer. In Ultrasonic inspection, it shows a significant difference in image quality depending on the ultrasonic equipment, and there is a large difference in diagnosis depending on the experience and skill of the inspector. Therefore, objective criteria are needed for accurate diagnosis and treatment. In this study, we analyzed texture characteristics by applying GLCM (Gray Level Co-occurrence Matrix) algorithm and extracted characteristic parameters and diagnosed breast cancer using neural network classifier. Breast ultrasound images were classified into normal, benign and malignant tumors and six texture parameters were extracted. Fourteen cases of normal, malignant and benign tumor diagnosed by mammography were studied by using the extracted six parameters and learning by multi - layer perceptron neural network back propagation learning method. As a result of classification using 51 normal images, 62 benign tumor images, and 74 malignant tumor images of the learned model, the classification rate was 95.2%.

• Journal of the Korean Chemical Society
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• v.58 no.1
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• pp.126-129
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• 2014

Concerning the difficulty of learning science and reduced interest in science, the authors of this study searched for potential threshold concepts which are portals or gateways in the field of science (particularly chemistry). The nature of these concepts and how to overcome their troublesomeness were further questioned. For this study, 239 high school students completed chemistry II provided information about what difficult concepts and potential threshold concepts in high school chemistry are and how they affect learning chemistry. In particular, the mastery experience of the threshold concepts was explored in detail. Two, "mole and atomic structure" were selected as threshold concepts in chemistry. Not only as important but also as threshold, this study emphasized the importance of the two concepts in terms of features characterizing them as threshold concepts. In particular, the features objectify subjective experiences of students and provide information describing the scientific meaning and distinctive nature of threshold concepts in science. Along with the data from teachers, this study shows the integrative feature as key criteria for students to make meaningful understanding of the two threshold concepts.

• Korean Journal of Comparative Education
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• v.28 no.3
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• pp.309-331
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• 2018

The purpose of this study was to examine the academic achievement and college life experience of students in Cambodia and to analyze the effects of college life experiences on academic achievement of college students in Cambodia. The questionnaire survey was conducted using the 'College Student Experiences Questionnaire (CSEQ)' questionnaire of 524 students from five universities in the city of Phnom Penh, Cambodia. The data were analyzed using hierarchical regression analysis. The results of this study showed that the experiences of college students 'Computer and Information Technology', 'Course Learning', 'Club and Organization' had positive effects on academic achievement. The implications of this study are as follows: First, colleges have to install more infrastructure for students to easily use computers and the Internet inside the school, and to provide programs to develop ICT skills to all students. Second, college-based efforts are needed to improve the quality of lectures for providing the students' knowledge and skills. Third, students' club and organization participation should be set up in college to find ways to improve students' academic achievement.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.137-147
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• 2022

Universities should provide experiential learning in subject and non-course subjects so that students can graduate with job competency related to their major and the experiential learning includes capstone design implemented on campus and field training conducted by companies. In particular, the decrease in industry participation in short-term (4 weeks) and mid-term field training (8 weeks) due to the implementation of standard field training introduced from the second half of 2021 is making it more difficult for students to gain practical experience. To solve this problem, in this paper, we propose an industry-participatory capstone design & field practice linkage model that combines capstone design and professional practice to solve the technical difficulties of companies. Participating students find solutions to corporate difficulties in the capstone design process and produce prototypes for solutions during the field practice period, focusing on the case of the department of electronic engineering at Gyeongbuk Y University. We believe that it is one of the good models of industry-university cooperation education in which universities and industries win-win.

• Journal of The Korean Association of Information Education
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• v.24 no.3
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• pp.243-254
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• 2020

In order to cultivate AI(artificial intelligence) manpower, major countries are making efforts to apply AI education from elementary school. In order to introduce AI education in elementary school, it is necessary to have a curriculum and educational content for elementary school level. This study developed educational contents to experience the principle of AI learning at the unplugged level for the purpose of AI education for elementary school students. The educational content developed was selected as an AI that evaluates the emotion of sentences. In addition, to solve the problem, data attributes were derived and collected, and the process of AI learning was simulated to solve the problem. As a result of the study, the attitude of elementary school students to AI increased post than before. In addition, the task performance rate was averaged at 85%, showing that the proposed AI education content has educational significance.