• Journal of the Korea Society for Simulation
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• v.27 no.3
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• pp.37-44
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• 2018

In applying modeling and simulation (M&S) techniques to analyze complex discrete event dynamic systems, conventionally users had to use different simulation environments depending on the user-level. To solve the inconvenience, this paper proposes an integrated development environment for M&S depending on user-level and a formalized interface to manage the model in the development environment efficiently. The interface consists of an extended DEVS formalism and model making rules. The development environment is divided into a modeling environment and a simulation environment. In the modeling environment, three modeling methods are provided for each level of the users. Users inputs several parameters to the model generated as a result of the modeling process, and experiments in various cases by using the simulation environment. The case study shows the implementation of the proposed M&S environment, and using the implemented environment, it shows the M&S process of the complex defense combat system.

• Proceedings of The KACE
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• 2017.08a
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• pp.221-224
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• 2017

본 논문은 사용자 수준에 적합한 맞춤형 학습코스를 추천하여 학습효과를 향상시킬 수 있는 추천모델을 개발하고, 효과분석을 위한 방안을 제시한다. 학습자 개개인의 학습수준이나 학습내용 등에 따라 적합한 학습주제를 선정하여 제공하는 것은 중요하나, 일반적인 추천은 전문가 그룹을 활용한 사람중심의 추천으로 시간이 오래 걸리는 등 자원의 비효율적 한계점[1]을 가지고 있다. 이를 극복하기 위해, TF-IDF를 이용해 단어별 가중치를 계산하여 고빈도 단어를 추출하여 벡터 공간에 배치시키고, Cosine Similarity 기법을 이용해 벡터간의 유사도를 측정하였다. 학습자 프로파일을 분석하고, 학습스킬간의 연관성을 고려하여 맞춤형 학습코스를 추천하기 위해, 워드 임베딩 기법을 적용하였고, 이를 위해 오픈소스 Gensim[2]을 이용하였다. 맞춤형 학습코스 추천 모델의 효과를 분석하기 위한 실험을 설계하고 평가 문항지를 개발하였다.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.55-65
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• 2022

As Internet and mobile technology is developing, the educational environment is changing from the traditional passive way into an active one driven by learners. It is important to construct the proper learner's profile for personalized education where learners are able to study according to their learning levels. The existing studies on ICT-based personalized education have mostly focused on vocabulary and learning contents. In this paper, learning profile is constructed with not only vocabulary but grammar to define a learner's learning status in more detailed way. A proficiency metric is defined which shows how a learner is accustomed to the learning contents. The simulational results present the suggested approach is effective to the evaluation essay data with each learner's proficiency that is determined after pre-learning process. Additionally, the proposed analysis technique enables to provide statistics or graphs of the learner's status and necessary data for the learner's learning contents.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.259-268
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• 2018

The purpose of this study is to propose a training method customized to the level of cognitive abilities to increase users' interest and engagement while using cognitive function training contents. The level of cognitive ability of the users was based on the clustering based on the users' information and Mini-Mental Statue Examination-Korea Child test score using the K-means algorithm applied collaborative filtering. The results were applied to the integrated cognitive function training system, and the contents order and difficulty level of the cognitive function training area were recommended to the user's cognitive ability level. Particularly, the contents difficulty control was designed to give a high immersion feeling by applying the 'flow theory' method that users can repeatedly feel tension and comfort. In conclusion, the user-customized cognitive function training method proposed in this paper can be expected to be more effective and rehabilitative results than existing therapists' subjective setting of contents order and difficulty level.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.21-28
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• 2018

To help users who are experiencing difficulties finding the right learning course corresponding to their level of proficiency, we developed a recommendation model for personalized learning course for Intelligence Tutoring System(ITS). The Personalized Learning Course Recommendation model for ITS analyzes the learner profile and extracts the keyword by calculating the weight of each word. The similarity of vector between extracted words is measured through the cosine similarity method. Finally, the three courses of top similarity are recommended for learners. To analyze the effects of the recommendation model, we applied the recommendation model to the Women's ability development center. And mean, standard deviation, skewness, and kurtosis values of question items were calculated through the satisfaction survey. The results of the experiment showed high satisfaction levels in accuracy, novelty, self-reference and usefulness, which proved the effectiveness of the recommendation model. This study is meaningful in the sense that it suggested a learner-centered recommendation system based on machine learning, which has not been researched enough both in domestic, foreign domains.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.137-153
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• 2015

Technostress- a term coined by Craig Brod- refers to a modern disease of adaptation caused by an inability to cope with new technologies. Stress is a person's adaptive response to a stimulus that places excessive psychological or physical demands on that person. In a similar vein, technostress can affect a variety of side effect such as low work productivity and resistance against new technology. The purpose of this study is thus to investigate of differences of technostressors using demographic informations such as gender, age, computer use skill, and industrial types. To do this, we conducted independence t-test and analysis of variance. We found that demographic characteristics can affect the differences of technostressors. Conclusions and implications are discussed in the last section of this paper.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.71-77
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• 2021

Screen Golf provides a more realistic interface to users by implementing sophisticated sensors and 3D graphics so that they can play golf in an environment almost identical to the actual golf course, to provide a sense of reality that goes beyond simply enjoying golf indoors. In addition, users who experienced this interface environment showed a tendency to feel the fun of golf more and become more immersed in golf. Therefore, it is most important to provide an effective realistic interface in screen golf. In this study, the meaning of screen golf as a tangible sport and various interface elements embodied in screen golf were summarized. Also the factors that enable users to feel reality and fun of actual golf to make users more immersed in screen golf were identified. For this, interface elements based on sensory elements were arranged in terms of visual, auditory, and tactile sense, and improvement plans and directions for providing effective sensory interfaces for screen golf were suggested through user FGI, targeting regular customers of Golfzone and KakaoVX screen golf, and in-depth interviews with experts. As a result of the analysis, it was confirmed that the course information including the yardage and the play situation-directed graphic are elements that make immersion in the visual aspect. In terms of tactile aspect, the fact that users actually use golf equipment, as well as the sense of existence of a physical interface that embodies various course environments and course setting appeared to be an important factor. In particular, in the auditory aspect, it was confirmed that providing customized services for each user through AI caddy implemented to resemble a actual caddy is the most effective way to immerse users in screen golf with greater fun and realism.