• Journal of Digital Convergence
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• v.18 no.11
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• pp.19-29
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• 2020

The study aims to examine the effectiveness of flipped learning teaching methods by using learning analytics to enable effective programming learning for non-major students. After designing a flipped learning programming class model applied with the ADDIE model, learning-related data of the lecture support system operated by the school was processed with crawling. By providing data processed with crawling through a dashboard so that the instructor can understand it easily, the instructor can design classes more efficiently and provide individually tailored learning based on this. As a result of analysis based on the learning-related data collected through one semester class, it was found that the department, academic year, attendance, assignment submission, and preliminary/review attendance had an effect on academic achievement. As a result of survey analysis, they responded that the individualized feedback of instructors through learning analysis was very helpful in self-directed learning. It is expected that it will serve as an opportunity for instructors to provide a foundation for enhancing teaching activities. In the future, the contents of social network services related to learners' learning will be processed with crawling to analyze learners' learning situations.

• Journal of The Korean Association of Information Education
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• v.19 no.4
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• pp.499-508
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• 2015

As society evolves into the information society, major countries strengthen software education. Especially, the curriculums of school to enlarge software education are made in major countries. Therefore, Korea Association of Information Education (KAIE) have studied a standard model for software education and revised the standard model that was published in 2014. The KAIE suggested a new plan that contents of software education classify by 'Software', 'Computer System' and 'Convergence Activities.' Therefore, I studied on a curriculum for 'Information' topic in elementary school. In this paper, I suggested the achievement goals for education of 'Information' topic. I nextly suggested teaching-learning and evaluation methods to meet the achievement goals. And I expect that the achievement goals, teaching-learning and evaluation methods I suggested about 'Information' topic will contribute to develop the curriculum for software education.

• Smart Media Journal
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• v.6 no.4
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• pp.72-78
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• 2017

The purpose of this study is to enhance the creative activity of youth through coding programs on the subject of Arduino. In order to achieve the purpose of the research, it studies the development of coding education based on Arduino, which is cheaper and generally available for universal use. In addition, in order to verify the program, it applies to the 12 schools in Gwangju Jeonnam and produces the improvements. The results of the study are as follows : first, the coding education program centered on Arduino was developed from a fusion perspective through a procedural model(plan - design - action - evaluation - improvement) and applied to a pilot class. Second, the effectiveness of the student satisfaction survey and the interviews of teachers were analyzed. Third, the improvement of the coding education program is accepted and applied to the next program.

• Journal of Engineering Education Research
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• v.24 no.3
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• pp.50-57
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• 2021

Although the mathematics education process in AI education is a very important issue, little cases are reported in developing effective methods on AI and mathematics education at the university level. The universities cover all fields of mathematics in their curriculums, but they lack in connecting and applying the math knowledge to AI in an efficient manner. Students are hardly interested in taking many math courses and it gets worse for the students in humanities, social sciences and arts. But university education is very slow in adapting to rapidly changing new technologies in the real world. AI is a technology that is changing the paradigm of the century, so every one should be familiar with this technology but it requires fundamental math knowledge. It is not fair for the students to study all math subjects and ride on the AI train. We recognize that three key elements, SW knowledge, mathematical knowledge, and domain knowledge, are required in applying AI technology to the real world problems. This study proposes a modular approach of studying mathematics knowledge while connecting the math to different domain problems using AI techniques. We also show a modular curriculum that is developed for using math for AI-driven autonomous driving.

• The Journal of Korean Institute of Information Technology
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• v.17 no.7
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• pp.123-131
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• 2019

In this paper, related studies were investigated by dividing them into cost-benefit analysis, security continuity services, and SW-centric calculations. The case analysis was conducted on A institutions in the United States, Japan and South Korea. Based on this, an improvement model was prepared through comparison with the current system. The SCS(Security Continuity Service) performance evaluation system-based information protection service cost calculation model is proposed. This method applies a service level agreement(SLA) and NIST Cybersecurity framework that are highly effective through cost-effectiveness analysis and calculates consideration based on characteristics, performance criteria, and weights by information protection service. This model can be used as a tool to objectively calculate the cost of information protection services at public institutions. It is also expected that this system can be established by strengthening the current recommended statutory level to the enforceability level, improving the evaluation system of state agencies and public institutions, introducing a verification system of information protection services by national certification bodies, and expanding its scope to all systems.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.49-57
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• 2020

The society we are living in has being changed to the age of the intelligent information society after passing through the knowledge-based information society in the early 21st century. In this study, we have developed the instructional model for software education based on the machine learning which is a field of artificial intelligence(AI) to enhance the core competencies of learners required in the intelligent information society. This model is focusing on enhancing the core competencies through the process of problem-solving as well as reducing the burden of learning about AI itself. The specific stages of the developed model are consisted of seven levels which are 'Problem Recognition and Analysis', 'Data Collection', 'Data Processing and Feature Extraction', 'ML Model Training and Evaluation', 'ML Programming', 'Application and Problem Solving', and 'Share and Feedback'. As a result of applying the developed model in this study, we were able to observe the positive response about learning from the students and parents. We hope that this research could suggest the future direction of not only the instructional design but also operation of software education program based on machine learning.

• 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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.101-102
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• 2018

본 논문에서는 교과개정 개편으로 저학년부터 코딩교육의 의무화가 됨에 따라 현시점에서 코딩교육의 대표적인 교육사이트에 대한 현황 및 장단점을 살펴보고, 교육을 받은 S/W 인재들이 대학교에 진학하여 배우는 S/W 교육에 대해 살펴보고자 했다. 현재 미래 창조과학부에서 운영하는 S/W 중심대학에 관하여 적절한 운영 방향에 따라 각 대학교가 운영되고 있는지 조사해보고 이에 따른 개선 방향을 제시하고자 하고 대학교별로 K-ICT(Korea-Information&Communication Techonology) 전략에 부합하는 목표성을 가졌는지 그룹핑해서 나열하고 이에 따른 문제점을 분석하여 S/W 교육 추진 방향과 정책설계를 통한 미래 발전 방안을 K-ICT 중심의 목표와 S/W 중심학교가 NCS(National Competency Standards)에 부합하는 시스템 개발을 위한 연구의 필요성을 제시한다.

• Journal of Internet of Things and Convergence
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• v.9 no.1
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• pp.49-55
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• 2023

The evolution of new digital technologies is progressing rapidly. In particular, many changes in software and artificial intelligence are progressing rapidly in the field of education. The Ministry of Education is planning an educational program by linking software and artificial intelligence regular curriculum. Before applying it to regular subjects, various software and artificial intelligence related experience camps are being promoted. This study aims to construct an educational model for software and artificial intelligence education programs for high school students based on new digital technology. By expanding and distributing software and artificial intelligence education, we aim to enhance the basic capabilities of software and artificial intelligence for high school students. I would like to define the concept of software and artificial intelligence in high school and propose a model that links software and artificial intelligence learning factors to the regular curriculum.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.9
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• pp.3924-3940
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• 2020

Dynamic hand gesture recognition(d-HGR) plays an important role in human-computer interaction(HCI) system. With the growth of hand-pose estimation as well as 3D depth sensors, depth, and the hand-skeleton dataset is proposed to bring much research in depth and 3D hand skeleton approaches. However, it is still a challenging problem due to the low resolution, higher complexity, and self-occlusion. In this paper, we propose a hand-shape feature extraction(HSFE) network to produce robust hand-shapes. We build a hand-shape model, and hand-skeleton based on LSTM to exploit the temporal information from hand-shape and motion changes. Fusion between two models brings the best accuracy in dynamic hand gesture (DHG) dataset.