• Journal of The Korean Association of Information Education
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• v.22 no.2
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• pp.285-295
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• 2018

The purpose of this study is to develop a software education program using micro:bit based on the ADDIE development model and to analyze the effects of the development of creativity of elementary school students. The education program was developed based on the results of the pre-demand analysis conducted on 40 elementary school teachers in Jeju. In order to verify the effectiveness of the developed education program, 42 students who participated in the education donation program conducted by ${\bigcirc}{\bigcirc}$ University were enrolled in 24 hours for 7 days for 6 days. The results of the analysis show that the software education program developed in this study has positive effects on the creativity factors by improving the programming ability of elementary school students.

• Journal of Convergence for Information Technology
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• v.7 no.3
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• pp.55-64
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• 2017

This study was to develop a dementia prevention integration program and apply to elderly women living alone to evaluate the applicability of the program. Fifty-six participants who enrolled at local public health centers were assigned. The control and experimental groups were assigned to 28 subjects. As a result of the study, the integrated program for prevention of dementia showed that the experimental group was more effective as the self-practice program than the control group. Therefore, This program is considered to be a self-practice integrated dementia prevention program. In the future, this program should be revised and supplemented and extended to the local community, So it is necessary to seek a nursing intervention strategy that subjects can continuously practice.

• Journal of The Korean Association of Information Education
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• v.25 no.4
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• pp.621-632
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• 2021

This study is about development and application of a curriculum to implement physical computing education in an online environment for pre-service teachers. First, a 15-week software and physical computing curriculum was designed according to the ADDIE instructional design model. As a tool that can be used online, education was conducted on a program using various sensors using Pocket Code, an EPL based on a smartphone. As a result of the application of the program, Personal efficacy, Pedagogical knowledge, Technology teaching content knowledge, Result expectation, and Student belief were all significantly improved. In the software attitude part, Software interest and Software value part increased significantly, and the Perception of software engineers did not change. In general, in the case of physical computing, it is difficult to execute in an online environment because it involves a lot of manipulation activity. Through various studies that can continue education in a non-face-to-face environment or a blended environment in the post-corona era, it is hoped that it will be possible to provide a high-quality curriculum to pre-service teachers in charge of future education.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.705-712
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• 2021

This study aims to develop artificial intelligence education programs that can be easily applied in elementary schools according to the trend of the times called artificial intelligence. The training program designed the purpose and direction based on the analysis results of the needs of 70 elementary school teachers according to the steps of the ADDIE model. According to the survey, elementary school students developed a machine learning education program to set sound data as the theme of the most accessible in their daily lives and to learn the principles of artificial intelligence in solving problems using sound data in real life. These days, when the need for artificial intelligence education emerges, elementary machine learning education programs that solve daily life problems based on sound data developed in this study will lay the foundation for elementary artificial intelligence education.

• Journal of The Korean Association of Information Education
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• v.23 no.1
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• pp.19-27
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• 2019

This study analyzed the effect of an unplugged educational program which focuses on the algorithm execution time analysis on enhancing the computational thinking of the third grade students. An unplugged educational program was developed by following the procedures of the ADDIE model based on the result of the demand analysis conducted with 70 incumbent elementary school teachers and 120 third grade students. The developed program was applied to 24 third grade students for 36 classes in six days and a comparison was made through pre-post comparison tests with 24 students who were taught with a board game program for the same period of time. As a result, the unplugged education program which focuses on the algorithm execution time analysis is deemed to have positive effect on the computational thinking of the third grade students.

• Journal of The Korean Association of Information Education
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• v.23 no.2
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• pp.179-188
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• 2019

The purpose of this study is to develop a Python search algorithm educational program based on execution time to improve the logical thinking of elementary school students. This educational program was developed based on the process of ADDIE model, utilizing the results of pre-demand analysis conducted for 133students in elementary school in ${\bigcirc}{\bigcirc}$. In order to verify the effectiveness of the developed education program, 25 students who participated in the education donation program at ${\bigcirc}{\bigcirc}$ University conducted 42 hours of classes during 6 days. The GALT test was used to analyze the educational effects of the pre- and post-test. The results of the analysis show that the SW education program developed in this study can positively affect the logic of elementary school students.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.47-56
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• 2021

The purpose of this research was to develop an augmented reality-based surgical nursing practice education application. The research proceeded in ADDIE order of analysis, design, development, implementation, and evaluation stages. In the analysis phase, we analyzed the surgical nursing learning needs of the expert group and nursing student group. As a result of the analysis, the demand for surgical instruments was generally high. We selected 51 surgical instruments of the 7 categories most frequently used in the operating room based on the needs, and produced them as AR Book. The augmented reality application was created based on the Unity 3D engine, and the application was built with Android OS so that the target person could use it. Expert assessment of application for augmented reality-based surgical nursing practice education application showed 73.4±4.3 out of 80. This study is significant in the part that first developed a new method of learning tools for surgical instruments. We determined that an augmented reality-based application has reality, portability, accessibility and simplicity.

• Journal of The Korean Association of Information Education
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• v.24 no.6
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• pp.563-572
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• 2020

In this study, through a total of 73 lectures and practice for 14 days, preliminary coding instructors developed teaching materials for elementary and junior high school students and verified the effectiveness of the coding instructor training course. The coding instructor training course was hosted by the "◯◯ Creative Economy Innovation Center" for 25 preliminary coding instructors, and was conducted at the "◯◯ University", and 15 elementary and junior high school students who participated in the class were openly recruited. The teaching materials were developed according to the procedure of the ADDIE model based on the results of the pre-requirement analysis conducted with 20 incumbent elementary school teachers majoring in computer education. As a result of running a training course for coding instructors focusing on classroom practice, it was found that the creativity of pre-coding instructors improved.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.367-375
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• 2021

This study developed and applied an artificial intelligence education program as an educational method for increasing computational thinking of elementary school students and verified its effectiveness. The educational program was designed based on the results of a demand analysis conducted using Google survey of 100 elementary school teachers in advance according to the ADDIE(Analysis-Design-Development-Implementation-Evaluation) model. Among Machine Learning for Kids, we use scratch for block-based programming and develop and apply textbooks to improve computational thinking in the programming process of learning the principles of artificial intelligence and solving problems directly by utilizing numerical data. The degree of change in computational thinking was analyzed through pre- and post-test results using beaver challenge, and the analysis showed that this study had a positive impact on improving computational thinking of elementary school students.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.75-83
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• 2022

Most of the courses that teach the Python programming language are liberal arts courses that all students in general universities must complete. Through this, non-major students who have learned the basic programming process based on computational thinking are strengthening their convergence capabilities to apply SW in various major fields. In the previous research results, various evaluation methods for understanding the concept of computational thinking and writing code were suggested. However, there are no examples of evaluation problems, so it is difficult to apply them in actual course operation. Accordingly, in this paper, a Python basic programming curriculum that can be applied as a liberal arts subject for non-majors is proposed according to the ADDIE model. In addition, the case of evaluation problems for each Python element according to the proposed detailed curriculum was divided into 1st and 2nd phases and suggested. Finally, the validity of the proposed evaluation problem was analyzed based on the evaluation scores of non-major students calculated in the course to which this evaluation problem case was applied. It was confirmed that the proposed evaluation problem case was applied as a real-time online non-face-to-face evaluation method to effectively evaluate the programming competency of non-major students.