• The Transactions of the Korean Institute of Electrical Engineers P
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• v.63 no.1
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• pp.50-53
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• 2014

Although there are some calculations of kinetics, dynamics, torque of each joint, size and weight which are used in implementing of humanoid robot, it is too expensive and need much education to make frame of robot body, actuator, and etc. Moreover, since there is lots of differences of operational principle, we need many kinds of experimental and education. However, the real humanoid robot is difficult to propagate because of its prices and other technical problems. Therefore we need small robot platform and control method which can give a enough education effect as similar as real humanoid robot. In this paper, the Kinect Sensor which made by Microsoft will be used for control method of humanoid platform.

• Journal of Practical Engineering Education
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• v.12 no.2
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• pp.339-351
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• 2020

In response to changes in Fourth Industrial Revolution in recent years, the field of education has focused on development of the human resources in the areas of artificial intelligence (AI: Artificial Intelligence) and industrial robot. Due to particular interest in these areas, the importance of developing integrated human resources equipped with artificial intelligence technology is emphasized in higher education and vocational competence development. In regards to rapid changing environment, this study created a program "Fostering personalized AI integrated human resource" and established an operational model correspond to latest personalized education trend. The established operational model was conducted twice using Delphi survey with experts in AI and innovative education in order to verify the suitability of program's basic structure, training process, and the sub-components of the operational strategy. The final training model was applied to the online vocational training platform (STEP) and a plan was proposed to establish a personalized training model to foster an AI integrated competent individual.

• The Journal of Bigdata
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• v.5 no.1
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• pp.11-27
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• 2020

In this paper, we developed a big data platform to store, process, and analyze effectively on such education longitudinal study data. And it was applied to the Seoul Education Longitudinal Study(SELS) to confirm its usefulness. The developed platform consists of data preprocessing unit and data analysis unit. The data preprocessing unit 1) masking, 2) converts each item into a factor 3) normalizes / creates dummy variables 4) data derivation, and 5) data warehousing. The data analysis unit consists of OLAP and data mining(DM). In the multidimensional analysis, OLAP is performed after selecting a measure and designing a schema. The DM process involves variable selection, research model selection, data modification, parameter tuning, model training, model evaluation, and interpretation of the results. The data warehouse created through the preprocessing process on this platform can be shared by various researchers, and the continuous accumulation of data sets makes further analysis easier for subsequent researchers. In addition, policy-makers can access the SELS data warehouse directly and analyze it online through multi-dimensional analysis, enabling scientific decision making. To prove the usefulness of the developed platform, SELS data was built on the platform and OLAP and DM were performed by selecting the mathematics academic achievement as a measure, and various factors affecting the measurements were analyzed using DM techniques. This enabled us to quickly and effectively derive implications for data-based education policies.

• Wind and Structures
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• v.26 no.6
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• pp.343-354
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• 2018

A realistic FEM structural model is developed to predict the behavior, load transfer, force distribution and performance of a riverine platform under earthquake and environmental loads. The interaction between the transfer plate and the piles supporting the platform is investigated. Transfer plate structures have the ability to redistribute the loads from the superstructure above to piles group below, to provide safe transits of loads to piles group and thus to the soil, without failure of soil or structural elements. The distribution of piles affects the distribution of stress on both soil and platform. A materially nonlinear earthquake response spectrum analysis was performed on this riverine platform subjected to earthquake and environmental loads. A fixed connection between the piles and the platform is better in the design of the piles and the prospect of piles collapse is low while a hinged connection makes the prospect of damage high because of the larger displacements. A fixed connection between the piles and the platform is the most demanding case in the design of the platform slab (transfer plate) because of the high stress values developed.

• Journal of the Korea Convergence Society
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• v.7 no.5
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• pp.155-160
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• 2016

The education applications for English learning have been developing consistently by utilizing the smart-phone owing to the development of internet and ICT. Smart technology based study platform, the mobile learning which enables for the students to study beyond the time and space is expected to bring forth new paradigm of education in tune with the environment change and trends. But it is found that the current applications are mostly the contents patterned for English study institution information with single channel or made for thinking study concept with only the simple language learning once they were checked. Therefore, the understanding on the English study process shall be changed and the study on the platform service is required by accessing in the viewpoint of thinking exercise learning. This study is purposed to explore the scope and strategy of mobile learning UX platform development and suggest the service model via prototype for English study.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.223-232
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• 2016

This study focuses on the new teaching assistance robot platform and the cloud-based education service model to support the server. In the client area we would like to use the teacher assistant robot in elementary school classrooms to utilize the language education service platform. Emerging IoT technology will be adopted to provide a comfortable classroom environment and various media interfaces. Extensive precedent review and case study have been conducted to identify basic requirements of proposed service platform. Embedded system and technology for image recognition, speech recognition, autonomous movement, display, touch screen, IR sensor, GPS, and temperature-humidity sensor were extensively investigated to complete the service. Key findings of this paper are optimized service platform with cloud server system and possibilities of potential smart classroom with intelligent robot by adopting IoT and BIM technology.

• Journal of Korea Multimedia Society
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• v.25 no.3
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• pp.476-492
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• 2022

This study explored at the potentials of exhibition appreciation classes using the metaverse platform, and identified what types of interactions could occur when elementary students participate in the exhibition appreciation education using metaverse platform. We had a user observation research and FGI through implementation of actual elementary class and we analyzed problematic experiences from the viewpoint of user to content and user to user interaction. As a result, fifteen UX improvements were derived by Delphi technique for solving the problematic experiences and improving learner's interactivity.

• East Asian mathematical journal
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• v.38 no.4
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• pp.415-437
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• 2022

Recently, various platforms of education technology (Edu-Tech) that use artificial intelligence have been developed in the field of mathematics education. The case study in this paper reports the learning experience of a high school student who was directed to learn mathematics through the self-directed learning process provided by a mathematics learning platform using Edu-Tech with the intervention of mentoring provided by his teacher. The study found that the mentoring intervention could make an effective contribution to student's mathematics learning by playing the role of an auxiliary tool for the self-directed learning over time. In this paper, we explain the nature of the challenges that the student encountered in the process of self-directed learning and the roles that the teacher mentoring has played in this process.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.537-542
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• 2021

This study aimed to understand and analyze the instructors' class satisfaction and the effectiveness of online general education classes perceived by instructors after inevitable COVID-19. A total of 54 instructors participated in the survey conducted at the end of the spring semester 2021 at C University located Gyeongsangnam-do. Findings revealed that instructors' satisfaction with their online classes was relatively low(2.80), and they negatively perceived their online classes. Also they show negative perception of the variable, interaction with learners(2.87). However, they show higher satisfaction with the next variables than the overall satisfaction; class management, online learning platform, and asynchronous online learning. Plus, a statistically significant result is that online learning platform have the biggest effect on the instructors' class satisfaction. Therefore, we need to know that instructors have to get familiar with the online learning platform and universities help them provide a variety of training sessions regarding online learning platforms. This study has limitations in that it was conducted only at one college and the limited number of variables was measured.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.272-275
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• 2022

Large-scale online platforms such as MOOCs-Massive Open Online Courses, which provide a variety of educational contents, have provided a learning environment that allows students to freely access and learn anytime and anywhere. Currently, the proportion of online lectures and home-based learning is increasing, and portfolio or experience-based learning such as bootcamp, field activities, and team project-based group learning are also being actively carried out for educational outcomes. At present, interest in nano or microdegree focused on core technology in units of hours or credits is increasing significantly because such strategic intensive education enables effective learning in terms of continuity and efficiency of education. In an era of large changes in job market due to the reorganization of the industrial structure by new technologies, intensive education in specialized new technology fields such as smart mobility, big data, and artificial intelligence is much more conducive to finding a job. With this reason it is attracting attention as an alternative to lifelong learning are receiving In this paper we propose an educational platform that can efficiently and effectively support the purpose learning for the personalized microdegree education in the online learning era.