• Journal of the Korean Society of Earth Science Education
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• v.15 no.1
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• pp.117-131
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• 2022

The purpose of this study is to develop a board game design activity for environmental education and to investigate how it affects high school students' environmental knowledge, environmental literacy, and creative engineering problem solving propensity. Twenty-five freshman and sophomore students belonging to the environmental club participated in this study. The board game activity was designed as 10 class hours lessons based on the engineering design process. The main data source of this study was pre-post students' conceptual maps of the environmental topics (global warming or ecosystem destruction) to measure the background knowledge on the topic. In addition, the environmental literacy measurement questionnaire and the creative engineering problem solving propensity questionnaire were collected before and after the activity. The result shows that the number of environment-related words described by the students on the post-concept map increased compared to the pre-concept map. In addition, the environmental literacy score and the creative engineering problem-solving propensity score increased significantly after performing the board game design activity. The results show that environmental lessons using board game design activities can help student develop various competencies in a good way. As above, research that combines board games and secondary education must be activated, and a new educational method and systemic support for in-service teachers who want to apply it to science classroom is required.

• Journal of Korea Game Society
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• v.12 no.1
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• pp.79-90
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• 2012

This study suggests effects and procedure of G-Learning math class which had implemented toward a class of K-5 for 6 weeks in La Ballona elementary school located in Culver City, LA in USA. For designing G-Learning math class, developing the G-Learning contents, constructing teaching and learning model, publishing the teacher and student's book and conducting teacher training were carried out. As for the results, the achievement score of G-Learning class rose 12 points which marked higher improvement than the compare class. Also in G-Learning class, the score of 1/3 lower achievement group increased 22 points and 1/3 higher achievement group rose 9 points with statistical significance. Moreover, after G-Learning math class, interest and awareness to effectiveness toward G-Learning math was positively increased.

• Journal of Korea Game Society
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• v.18 no.4
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• pp.43-52
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• 2018

This study was developed as a mobile serious game app (Roly Poly 160 App) based on a prototype model and then used in a public health center for diabetes patients. The mobile serious game application upgraded the mobile version of Roly Poly 160, which is a content for diabetes self-management of the existing PC version, by requesting to charge service of G city. The study period was from February 19, 2018 to May 11, 2018, and users were allowed to access the Roly Poly 160 app at least once a day for a total of 8 to 12 weeks after the preliminary investigation. As a result, HbA1C was significantly decreased(p=0.04), and diabetic knowledge was significantly higher than that before the follow-up(p=0.01). After applying Roly Poly 160 App, Satisfaction score was 3.74 out of 5 points

• Journal of Industrial Convergence
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• v.22 no.4
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• pp.21-29
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• 2024

This study analyzed the difficulty of scoring in different match situations in relation to which competitor scored first. The study analyzed the data from the 2022 Guadalajara World Taekwondo Championships. The analysis was performed for two separate weight classes: lightweight and heavyweight. Four game content variables were used: whether the athlete scored first, attack type, attack area, and game situation. Descriptive statistics, the Rasch model, and discrimination function questions were applied for data processing. SPSS and Winsteps were used for the statistical analysis, and the statistical significance level was set at 0.05. Consequently, in the lightweight class, the scoring frequency of the first scorer was high for all the game variables. In the heavyweight class, the scoring frequency for the first scorer was high for the attack type and attack area. By contrast, those who did not score first were more frequently found to be in a loss situation. By analyzing the scoring difficulties in different match situations based on whether the competitor scored first, the athletes who scored first in attack type most easily scored first. In losing situations, the athletes who scored first in attack area scored most easily, whereas those who did not score first scored most easily in body and match situations. For the heavyweight class, those who scored first in terms of attack type, counter-attack, and attack area scored the most easily while winning in body and match situations.

• Smart Media Journal
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• v.11 no.2
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• pp.9-17
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• 2022

The purpose of this study is to implement a predictive model to support decision-making to replace a starting pitcher before a crisis situation in a baseball game. To this end, using the Major League Statcast data provided by Baseball Savant, we implement a predictive model that preemptively replaces starting pitchers before a crisis situation. To this end, first, the crisis situation that the starting pitcher faces in the game was derived through data exploration. Second, if the starting pitcher was replaced before the end of the inning, learning was carried out by composing a label with a replacement in the previous inning. As a result of comparing the trained models, the model based on the ensemble method showed the highest predictive performance with an F1-Score of 65%. The practical significance of this study is that the proposed model can contribute to increasing the team's winning probability by replacing the starting pitcher before a crisis situation, and the coach will be able to receive data-based strategic decision-making support during the game.

• Journal of muscle and joint health
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• v.19 no.1
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• pp.46-56
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• 2012

Purpose: This study was to evaluate the effects of rehabilitation training using video game on improvement range of motion for upper -extremity, shoulder pain and stress in stroke patients with hemiplegia. Methods: The study utilized nonequivalent control group non-synchronized design. Participants are sampled from a group of people who are hospitalized in rehabilitation medicine ward at 'K' university hospital in 'S' city from January 1st 2011 to October 31th. Each 28members of control group and experimental group, total 56members were participated. One task is for 10minutes, and the video game for total 30minutes performed 5 times a week, for 3weeks. Data were analyzed by SPSS WIN 17.0. Results: The range of motion for upper-extremity in experimental group was significantly different from that in control group(shoulder flexion t=7.70, $p$ <.001, extension t=7.80, p<.001, abduction t=6.95, $p$ <.001, elbow flexion t=6.47, $p$ <.001). The shoulder pain score in experimental group was significantly different from that in control group(t=-14.58, $p$ <.001). The level of stress in experimental group was significantly different from that in control group(t=-4.89, $p$ <.001). Conclusion: The result proved that rehabilitation training using video game was an effective stroke patients to increase in range of motion for upper-extremity and decrease in the shoulder pain, stress.

• Journal of Korean society of Dental Hygiene
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• v.19 no.4
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• pp.493-502
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• 2019

Objectives: This study aimed to investigate the current status of oral health applications developed for smartphones because they can be used as a new educational medium to manage and improve oral health. Methods: This study examined 60 basic oral health applications provided by Google Play Store and Apple App Store as of May 2019 and examined delivery contents, delivery methods, application types, and other information. Results: Apple included 65.4% of oral apps in the game category whereas Android included 64.3% in the education category (p>0.05). All Apple's apps and 71.4% of Android apps were developed overseas (p<0.01). The delivery contents were 61.5% for Brushing + tooth decay in Apple, and 78.6% for others (oral care products and gum diseases) in Android (p>0.05). For the delivery method, game + video was 65.4% in Apple, and game and other methods (text, image, augmented reality) was 42.9% in Android (p>0.05). In the case of application type, play type was the most common with 88.5% in Apple, and 46.4% play type and 39.3% other type (text, appreciation, problem-solving types) in Android (p<0.01). In addition, play type was high in both education (53.8%) and game (90.0%) categories (p>0.05). The average review score was 4.30 in the education category, 4.34 in the case of brushing and care (delivery contents), 4.37 in the case of using game + video (delivery methods), and 4.57 in the case of Play + other types (application type) (p>0.05). Conclusions: The use of healthcare apps is expected to increase owing to improved lifestyles, an increase in the elderly population, cost-effectiveness, and convenience that is not affected by time and place. Effective use of oral health apps will require the participation of dental professionals in the development process to identify the exact status, expand subjects, and provide appropriate information.

• Proceedings of the Korea Association of Information Systems Conference
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• 2005.12a
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• pp.326-333
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• 2005

The purpose of this paper is to provide a decision support method to a rational buyer, who wants to pay the least price for the product with the highest quality and service. We suggest a minimum efficiency game model and DEA game model to valuate many vendors whose qualifies of outputs are measured by percentage. Our results gave a decision maker (buyer) the upper bound and lower bound of the true efficiency score of a decision making unit (vendor) with respect to the benchmark (target) set by the buyer. As a result, a buyer can choose the best vendor in terms of his/her preference.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.1112-1114
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• 2020

일상 속에서 발생하는 화학 반응과 실제로 실험하기에는 위험한 화학 반응을 안전하게 체험해보며 게임을 하면서 부가적으로 화학 반응에 대한 지식을 얻어갈 수 있는 가상현실(VR) 게임 콘텐츠를 구현하고자 하였다. VR 이라는 장르를 적극적으로 활용하여 기존 PC 및 모바일 등의 게임 장르에서는 부족할 수 있는 공간감과 임장감을 채움으로써 현장감을 극대화할 수 있을 것으로 기대한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.3 s.303
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• pp.17-28
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• 2005

Recently intelligent characters in computer games have been an important element more and more because they continually stimulate gamers' interests. As a typical method for implementing such intelligent characters, neural networks have been used for training action patterns of opponent's characters and game rules. However, some of the game rules can be abruptly changed and action properties of garners in on-line game environments are quite different according to gamers. In this paper, we address how a neural network adapts to those environmental changes. Our adaptation solution includes two components: an individual adaptation mechanism and a group adaptation mechanism. With the individual adaptation algorithm, an intelligent character steadily checks its game score, assesses the environmental change with taking into consideration of the lastly earned scores, and initiates a new learning process when a change is detected. In multi-user games, including massively multiple on-line games, intelligent characters confront diverse opponents that have various action patterns and strategies depending on the gamers controlling the opponents. The group adaptation algorithm controls the birth of intelligent characters to conserve an equilibrium state of a game world by using a genetic algorithm. To show the performance of the proposed schemes, we implement a simple fighting action game and experiment on it with changing game rules and opponent characters' action patterns. The experimental results show that the proposed algorithms are able to make intelligent characters adapt themselves to the change.