• 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 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.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.25-30
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• 2021

With the introduction of AI education in the 2022 Revised Curriculum emphasizing the need for data related education, it is necessary to improve students' data based problem solving skills. This study seeks to study SW education methods to improve students' data based problem solving skills in accordance with these needs. Based on the ADDIE model, the demand analysis survey was conducted on teachers to analyze their needs. Based on the results of the demand analysis, we designed education programs under the theme of data based problem solving skills using microbit. In this study, we raise the importance of data based problem solving and the need for its capabilities. Subsequent studies need to reveal how data based problem solving SW education will demonstrate significant effects on problem solving skills.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.656-666
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• 2022

The purpose of this study is to evaluate the effect on the grit, learning reality, and learning satisfaction for nursing students using the flipped learning teaching method. We developed a flipped learning educational program using ADDIE model for nursing students and evaluated the program effect. As a result of this study, the grit (t=-3.07, p=.003), the learning presence (t=-4.87, p<.001) and the learning satisfaction (t=-5.18, p<.001) significantly increased after flip learning method application. The Grit shown to have a significant positive correlation with learning presence (r = .47, p<.001), and learning satisfaction (r = .26, p<.005). The learning presence shown to have a significant positive correlation with learning satisfaction (r = .548, p<.001). The flipped learning teaching method may improve the grit, learning reality, and learning satisfaction. Various efforts will be needed to lay the foundation for flipped learning teaching methods in the field of nursing education in the future.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.67-78
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• 2024

Amidst the onset of the Fourth Industrial Revolution and the prominence of artificial intelligence, societal structures are undergoing significant changes. There is a heightened global interest in AI education for nurturing future talents. Consequently, this research aims to develop an AI-integrated Korean language curriculum for first-year high school students, utilizing the ADDIE model for instructional program development. To assess the program's effectiveness, pre-post assessments were conducted on future core competencies (Collaboration, Communication, Critical Thinking, Creativity) and knowledge information processing skills. The curriculum, spanning nine sessions and incorporating four small projects, sought to provide students with a new experience of AI-integrated Korean language education. As a result, students who participated in the program demonstrated improvement in future core competencies across all areas, and positive outcomes were observed in satisfaction levels and qualitative analysis. Through these findings, it is suggested that this program successfully integrates artificial intelligence into high school Korean language education, potentially contributing to the cultivation of future talents among students.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.600-621
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• 2016

This study aims to develop and apply the language education program model - based on balanced language education approach - on development of literacy of young children in low-income families, specially participating in Dream Start public welfare service. Development of this languge education program was based on the basic view and characteristis of balanced language education. It was progressed in accordance with Analyze-Design-Develop-implement-Evaluate(ADDIE), which is an widely-used instructional design model. Educational contents including reading skills of picture books based on whole language approach and well-structured reading and writing sequences, teaching and learning method including the principles and the strategies and teaching and learning systematic evaluation method are proposed in viewpoint of balanced language teaching approach. The application of the program was conducted targeting 20 young children participating in Dream Start welfare service from June 2015 until early November. To evaluate the effectiveness of this program, word reading inspection and nonsense word reading inspection developed by Ko, Yeon-Kyung(2002) were performed. The reflective thinking journal of visiting teachers and the satisfaction reported by parents were analysed in the qualitative research method. As a result, reading skills of young children were improved. The superiority of the program - prefernce for the picture book, interests in written languages, effectiveness of individualized language education method - was demonstrated by qualitative analysis of reflective journal. This study has the significance on presenting the executable language education model for literacy development of young children in low-income families based on balanced language education approach.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.24 no.3
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• pp.230-242
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• 2017

Purpose: The purpose of this study was to develop a self triage application for rescue requests by disaster vulnerable populations. Literature was reviewed in order to define application trends and needs. Methods: Development of the self triage application was conducted in six stages as a hybrid model (analysis, design, development, implementation, evaluation, modification) of the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model and Driscoll & Alexander model. Application system function and contents were tried with 6 experts and 4 people with hearing impairments. Results: Expert assessment of the application for self triage showed that reliability at 5 points was the highest, followed by utility at 4.8 points. Scores for quickness and expressiveness were low at 4.6 and 4.2 points respectively. User acceptability assessment of the application was measured at 66.73 points. Conclusion: The results show that the application for self triage is helpful to disaster vulnerable populations by providing relief in disaster situations. It is expected that use of this application as a self rescue ability can be made available for disaster situations. However, it will be necessary to establish policies for communication strategies with rescuers and public relations to improve the access rate of disaster app service.

• Korean Journal of Child Studies
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• v.38 no.1
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• pp.77-93
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• 2017

Objective: The purpose of this study was to develop a text-based media literacy program and to examine its effects on young children's understanding and expression of media text. Methods: The participants were 54 5-year-old kindergarteners assigned to an experimental or a control group, with 27 children per group. The text-based media literacy program was based on the ADDIE model and was administered to the experimental group for 8 weeks. The pre- and post-test instruments measured media text understanding and expression ability and were patterned after those used by British Film Institute (2003) and other major studies. Results: The experimental group showed higher levels of media text understanding and expression than the control group. Conclusion: The results are discussed with respect to their implications for educational practice and future research.