• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.289-289
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• 2018

해상교통관제사의 역량기반 교육훈련의 실시를 위해 개인의 역량을 파악하고 조직이 요구하는 수준에 대하여 개인에게 필요한 맞춤형 교육을 실시하는 것은 해상교통안전을 증진시키고 조직 내 전략적 인적자원관리를 위해 중요하다. 본 연구에서는 신임 해상교통관제사의 역량기반 교육훈련 과정 개발을 위한 기초연구로서 국가직무능력표준(NCS, National Conpetency Standards)과 IALA 권고서 V-103/1에서 제시된 해상교통관제사의 직무역량을 통합하여 하나의 역량모델로 구성하고자 하였다.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.41-46
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• 2022

This study analyzed the results and implications of the industry-university cooperation human resource nurturing process based on the I-O model for the Motion Graphics major and the Global Hotelier major in Baek seok University. In this study, based on the analysis of the human resources training performance through industry-university cooperation in the motion graphics and hotelier fields for 5 years, what kind of efforts were made for successful human resource training, and the level of performance was analyzed and improvement points were suggested. In this study, four strategies were set for successful industry-university-tailored human resource nurturing: student-industry matching through industry participation in education, industry-university integrated education, education quality advancement, and customized education infrastructure construction. As a result of the analysis, customized human resource training should first be developed through industry demand survey and a mirror-type practice room should be built to fit the corporate environment. Second, it was found that it is possible to be individual only if there is an active participation of industry experts throughout the curriculum such as subjects and non-subjects.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10b
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• pp.1439-1442
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• 2001

가상교육은 인터넷이 발전함에 따라 확장되고 있는 추세이다. 따라서 인터넷에서의 교육이 하나의 교육의 형태로 자리 잡게 되었다. 인터넷을 통한 가상교육은 방대한 학습 자료를 학습자의 학습정도나 일정에 맞는 맞춤형태의 서비스가 중요하다. 이러한 학습 컨텐츠 기반의 인터넷 가상 학습은 기존의 오프라인에서 사용한 컨텐츠를 유기적으로 통합하여 온라인에서 제공하는 것이 큰 관건이 되어지고 있다. 이를 위해 본 논문은 XML 을 이용하여 기존의 인터넷 학습을 XML 을 기반으로 하여 오프라인에서의 컨텐츠를 온라인에 적응하여 학생들에게 학습 환경을 보다 폭 넓게 제공하였다. 또한 학생 개인의 학습 정도를 유지 할 수 있게 각 학생의 학습 현황정보를 관리해 주는 맞춤형 가상교육 시스템을 개발하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.84-86
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• 2022

Task-oriented chatbots prevail in various filed with the artificial intelligent dialogue system. The need for chatbots in customer services is growing, especially in education businesses given that there are many user inquiries and consultation requests. However, current dialogue systems only function as simple reactions or predetermined and frequently used actions. Meanwhile, the research about customized recommendation systems through artificial intelligence is very active with a wide variety of educational content. Although a dialogue system and a recommendation system is a core element in this domain, it has a limitation in that it is being conducted separately. Therefore, we present a study on a recommendation system that can recommend user-customized lectures combined with a dialogue system. With this combination, our system can respond to additional functions beyond these limitations. Through our research, we expect that work efficiency and user satisfaction will be improved by applying chatbots in education domains that are becoming more diversified and personalized.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.115-119
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• 2024

With the increase in the number of ICT industry workers, there is a demand for research on preventing VDT syndrome. However, existing posture correction products mostly rely heavily on cameras or sensors in wearable devices. In this paper, we have developed a posture correction system that utilizes built-in cameras and circular pressure sensors to collect posture information. Additionally, the system provides a personalized service by capturing the correct posture of the user initially and monitoring the user's posture based on that input. By precisely correcting postures during users' daily tasks, this system aims to prevent and improve VDT syndrome, ultimately enhancing the efficiency of ICT industry workers.

• Journal of Industrial Convergence
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• v.18 no.5
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• pp.102-107
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• 2020

The purpose of this study is conduct development and assessment of the on-site customized education program in college curriculum with utilizing Living Lab. The development process is conducted in Living Lab's mechanism ; idea expression, setting agenda, actual activities, and feedback. The developed early education program is constructed four subjects, sixteen sub themes, and fifty three activities. For the assessment of the program, the satisfaction survey was conducted to sixty eight teachers who work for early education institutes in Busan, S. Korea. In the result, more than 80% of respondents answered that the program was satisfying. The study is meaningful as a basic data to utilize Living Lab in various subjects and majors in college.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.13-20
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• 2019

For customized education, it is essential to search the learning path for the learner. The genetic algorithm makes it possible to find optimal solutions within a practical time when they are difficult to be obtained with deterministic approaches because of the problem's very large search space. In this research, based on genetic algorithm, the learning paths to learn 200 chords in 27 music sheets were optimized to maximize the learning effect by balancing and minimizing learner's burden and learning size for each step in the learning paths. Although the permutation size of the possible learning path for 27 learning contents is more than $10^{28}$, the optimal solution could be obtained within 20 minutes in average by an implemented tool in this research. Experimental results showed that genetic algorithm can be effectively used to design complex learning path for customized education with various purposes. The proposed method is expected to be applied in other educational domains as well.

• Education of Primary School Mathematics
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• v.15 no.2
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• pp.135-145
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• 2012

In this research, we observed how students perform as they followed the teachers' instruction, and consequently perform their realized potential. As the accountability of school education is emphasized, various attempts try to disconnect the vicious cycle of producing low achievers. Efforts are allocated into developing a method to minimize cumulative effect of the lag in educational benefit by focusing on the elementary education. Based on the 2007 revised curriculum, mathematics achievement level and assessment criteria were developed. These criteria were used to standardize the course and assessment objectives for 4th through 6th grade students' mathematics studies, and to assess lower performing students and the lag in their mathematical understanding. The educational materials and assessment criteria can be expected to lead lower performing students by giving them the personalized lesson plans to minimize the lag of mathematical understanding, and eventually expedite their progress and prevent cumulative effect of the lag in the following curriculum.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.605-614
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• 2023

In In the era of digital transition, AI-based personalized services are emerging in the field of education. This research aims to examine the development strategies for implementing AI-based learning services in school. Focusing on AI-based math learning service "Math Cell" developed by i-Scream Edu, this study surveyed the functional requirements from the perspective of an educator. The results were analyzed for importance and suitability using IPA, and expert opinions were surveyed to explore specific development directions for the service. Consequently, importance in all areas such as diagnosis, learning, evaluation, and management averaged 4.82 and performance averaged 4.56, showing excellent results in most questions, and in particular, importance was higher than performance. Among certain detailed functions, concept learning, customized task presentation, evaluation result analysis function, dashboard-related functions, and learning materials in the dashboard were not intuitive for students to understand and had to be supplemented. This study provides meaningful insights by summarizing expert opinions on AI-based personalized mathematics learning services, thereby contributing to the exploration of the development strategies for "Math Cell".

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.26-31
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• 2010

This research does focus on realization of customizing recommendation service that all of formal, or informal learning is accomplished at real time according to worker's current situation or business context corresponding with the individual ability and the learning progress at industry or education field. For this, we designed the customizing intelligent recommendation system based on compound knowledge that workers can listen to coaching advices at real time and to retrieve and recommend multidimensional relation easily. Also, we constructed the repository based on compound knowledge and process engine for efficient management of compound knowledge. In specific industry, expert solution or coaching service will be created using the knowledge which is accumulated in long-term.