• 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.

• Journal of Information Technology Services
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• v.19 no.6
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• pp.131-144
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• 2020

As the blockchain technology attracts attention, interest in cryptocurrency that is received as a reward is also increasing. Currently, investments and transactions are continuing with the expectation and increasing value of cryptocurrency. Accordingly, prediction for cryptocurrency price has been attempted through artificial intelligence technology and social sentiment analysis. The purpose of this paper is to develop a deep learning ensemble model for predicting the price fluctuations and one-day lag price of cryptocurrency based on the design science research method. This paper intends to perform predictive modeling on Ethereum among cryptocurrencies to make predictions more efficiently and accurately than existing models. Therefore, it collects data for five years related to Ethereum price and performs pre-processing through customized functions. In the model development stage, four LSTM models, which are efficient for time series data processing, are utilized to build an ensemble model with the optimal combination of hyperparameters found in the experimental process. Then, based on the performance evaluation scale, the superiority of the model is evaluated through comparison with other deep learning models. The results of this paper have a practical contribution that can be used as a model that shows high performance and predictive rate for cryptocurrency price prediction and price fluctuations. Besides, it shows academic contribution in that it improves the quality of research by following scientific design research procedures that solve scientific problems and create and evaluate new and innovative products in the field of information systems.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.3
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• pp.339-345
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• 2021

With the development of online education due to COVID-19, the EduTech market, which combines new technologies such as AI and AR/VR in education is rapidly growing. In addition, the children's industry is steadily growing despite the decreasing birth rate every year as more and more families with one child per household are investing in their children. However, supply of contents to EduTech market is slow compared to demands that are increasing. Therefore, the purpose of this paper is to help solve these problems by developing and supporting AR kids contents with convenience, practicality, and efficiency using AR technology. AR content for supporting vocabulary learning for infants is not just an end to watching and listening, but an observation-driven model that can manipulate content directly, which attracts children's interest and helps children learn words. This paper is intended for infants from 15 months to 36 months old when full-fledged language development occurs.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.307-312
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• 2022

In line with the 4th industrial revolution and the innovative changes of the 21st century knowledge and information society, the education field where the 2015 revised curriculum is applied is facing a situation where it is necessary to consider various teaching and learning methods. Among them, interest in instructional design applying flipped learning suitable for future education is growing, but studies on classes using flipped learning in actual music and education are rare. In general music classes currently conducted in the elementary education field, it is insufficient to learn the musical function targeted in the class. Therefore, this study developed and validated an instructional design model for elementary school music and classes that applied flipped learning based on the ADDIE model, which is a systematic instructional design model, using the design and development research methodology. Based on the developed instructional design model, major issues for each stage were presented, and major educational implications in the development process were discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.881-889
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• 2022

As interest in environmental pollution caused by ship emissions is increasing worldwide, many studies are being conducted on the development of systems that increase energy efficiency to reduce ship emissions. In order to test the energy management system controller driven in real time on a large ship, it is necessary to perform the test through the simulator. In this study, addresses were set for each signal according to Modbus TCP/IP so that each control system and energy management system could be linked, and the algorithm was configured according to the signal flow. In addition, the signal generator was designed and manufactured so that each controller could artificially generate the signal collected from the vessel. As a result of the simulator production and interlocking, it was confirmed that each controller operated in real time performed its role appropriately, and that the algorithm of the ship energy management system was properly applied.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.45-51
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• 2022

Due to the spread of COVID-19, many local governments are burdened with the influx of large-scale tourists. As a climate that values Work-Life-Balance has emerged, interest in individual life and satisfaction is rapidly increasing. In addition, due to the popularity of the metaverse field, many people are increasingly interested in related content. In particular, "Animal Crossing: New Horizons" sold more than 15 million copies in 2020, and is enjoying exchanges of interior design, fishing, and collecting insects here. In line with this trend, this study introduces the development of online fishing games based on Jeju infrastructure. This paper focuses on implementation and development, and in particular, it introduces differentiated games through character animation optimized for developing a topographic model that maximizes the beauty of Jeju Island's topography based on the Unity 3D engine.

• Journal of Industrial Convergence
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• v.19 no.6
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• pp.139-144
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• 2021

Since the human act to pursue beauty is the most natural desire and instinct, the demand for a new beauty trend in line with the 4th industrial revolution era, in which aesthetic interest in human appearance management along with the importance of appearance is increasing day by day is very necessary at this time. In order to derive the source from art, which is closely related to beauty studies, the shape and texture of women's hair design appearing in 'Chinoiserie' style Western paintings that were popular in Europe and France in the 18th century. As a result of the study, the hair design of women appearing in four Western paintings showed characteristics of each individual shape, texture, and color. Through this study, the foundation stone for the development of a new mode hairstyle for modern people living in a rapidly changing era while quarreling with the village, and the foundation stone for the development of various beauty contents.

• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.153-160
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• 2021

In recent universities, the new-normal era. There is a growing interest in nurturing creative thinking learners who have converged thinking necessary for the AI era based on big data. This study intends to propose the expansion of science liberal arts education necessary to meet the education needs of these universities. To this end, first the status of convergence education in universities and the elements necessary for the learners' creative ideas were examined. Second, learners who took a convergence lecture at a university will look at the development case of in which convergence thinking, creative thinking, and gaming are implemented. Based on this, we would like to propose an expanded organization and operation of science liberal arts education as a way to enhance the creative thinking of learners and their competencies through convergence classes at universities.

• Journal of the Korea Institute of Building Construction
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• v.22 no.2
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• pp.219-228
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• 2022

In this study, to improve educational motivation and learning outcomes, a mobile app using game elements was developed, and the effect of its application in rebar work education was analyzed. Using the 4F(Figure out-Focus-Fun design-Finalize) process, which is a game development model, a mobile learning app for rebar work was developed that considers the characteristics of college students familiar with smartphone use, and the app was developed in a manner that utilizes game mechanics such as learning missions and points to stimulate a learner's interest and improve educational motivation. The results show that the proposed app for rebar work is positively evaluated in terms of interface style, perceived usefulness, perceived ease of use, perceived enjoyment, attitude toward using, and intention to use. Therefore, it can be concluded that using the learning game app for rebar work in classes can contribute to improving a learner's performance in various aspects.

• Journal of The Korean Association of Information Education
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• v.26 no.1
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• pp.45-53
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• 2022

The need for artificial intelligence education has emerged, and countries around the world are announcing artificial intelligence strategies. Artificial intelligence education is reflected in the main points of the 2022 revised curriculum general published in Korea. Along with this interest, programs related to artificial intelligence education are being developed, but it is difficult to find artificial intelligence programs for lower grades of elementary school. This study aims to develop a data collection education program for the lower grades of elementary school through a series of analysis-design-development-application-evaluation processes and apply it to first-grade elementary school students to verify its effectiveness. Through the developed program, it is expected that students will be able to understand and feel interested in artificial intelligence, and develop an attitude of collecting data in their daily lives through the process of searching for various types of data in their daily lives.