• Title/Summary/Keyword: game-based learning

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Development of Digital Games Based on Historical Material and its Design Components - With History Based Games of 5 Countries (역사소재 기반 디지털게임의 발전과정 및 기획요소 연구 - 동.서양 5개국의 역사소재 게임을 중심으로)

  • Moon, Man-Ki;Kim, Tae-Yong
    • Journal of Broadcast Engineering
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    • v.12 no.5
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    • pp.460-479
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    • 2007
  • When culture took large part in industrial area, every country has tried to utilize own cultural contents for educational or commercial purpose and the various cultures and histories are recognized as a main concept or subject so that a number of scholars who study history increase. In video game field, special characteristics of interface that audiences participate in the game to complete story-telling is considered as efficient material for learning process. As observed above, it is important to analyze the games that every country makes and export to the world in which the video games is understood as a play of human in general. This Paper has firstly analyzed the most favorite historical games developed in Korea, the USA, Japan, Taiwan and Germany from 1980 to 2005 and secondly, compared that wars and historical origin appears in game scenario, a world view and background story and finally after point out the preferable era and genre of the countries then propose the promising way of design for historical video games. In the process of analysis of a view and heroes in historical games, we compared the real persons, the real historical events and novel in which 11.8% only employed the real persons in 8 out of 68 games. Also the real history and background story are appeared in 37 games which is 54.4% of them. We discovered that the main material that is popular for each country is the historical backing rather than real persons where the favorite historical background is chosen at which they are proud of; 3-Throne era with strong ancient Gogurye for Korea, the 1st and 2nd World Wars and the Independence War for the USA, the tide of war around Middle age for Japan, ancient history of Europe for Germany. The favorite age for video games is Ancient times with 37 games for 54.4%, Middle Age with 7 games fer 10.3%, the prehistoric age with 5 games for 7.35%, remote age with 1 for 1.47%, while current historical games favor Ancient or Modern Age.

Efficient Approximation of State Space for Reinforcement Learning Using Complex Network Models (복잡계망 모델을 사용한 강화 학습 상태 공간의 효율적인 근사)

  • Yi, Seung-Joon;Eom, Jae-Hong;Zhang, Byoung-Tak
    • Journal of KIISE:Software and Applications
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    • v.36 no.6
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    • pp.479-490
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    • 2009
  • A number of temporal abstraction approaches have been suggested so far to handle the high computational complexity of Markov decision problems (MDPs). Although the structure of temporal abstraction can significantly affect the efficiency of solving the MDP, to our knowledge none of current temporal abstraction approaches explicitly consider the relationship between topology and efficiency. In this paper, we first show that a topological measurement from complex network literature, mean geodesic distance, can reflect the efficiency of solving MDP. Based on this, we build an incremental method to systematically build temporal abstractions using a network model that guarantees a small mean geodesic distance. We test our algorithm on a realistic 3D game environment, and experimental results show that our model has subpolynomial growth of mean geodesic distance according to problem size, which enables efficient solving of resulting MDP.

A study on the Premarital Sexual Education Program(PSEP) (결혼준비자를 위한 성교육 프로그램 연구)

  • Jeoung, Min-Ja
    • Korean Journal of Human Ecology
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    • v.5 no.2
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    • pp.17-35
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    • 1996
  • The purpose of this study was to develope Premarial Sexual Education Program. This program was based on survey(466 data used) for the need of PSEP. The result were as followings: 1. The need of sex education was higher(92.9%) and the participation of this PSEP was 80.4%, so this program was systemic structure. 2. Their premarital sexual values were more permissive(52.2%) than the past. But women thought tha female would be vergin(27.1%) their inter course experience rate was 33.4% and Age of experience was under 23 year olds. 3. The unmarried persns wanted that PSEP was consisted of 10 sub themes : (1) pregnancy and child-birth(mean=4.4/5) (2) contraception and family planning(m=4.3) (3) sexual morality and sexual value(m=4.2) (4) sexual healthy family (m=4.1) (5) sexual open communication(m=4.1) (6) venereal disease and coping stratiges(m=4.0) (7) sex role learning(m=3.9) (8) sexual physiology(m=3.8) (9) premarital sex and unwed mother(m=3.7) (10) adultery and society(m=3.6) 4. They want that group meeting would be every Wensday or Friday evening and the required time is two hours. The instruction methods are expected lecture, discussion or seminar and viewing video tapes. 5. So PSEP was consist of 10 sub-themes: (1) orientation and self-disclosure(test, lecture, game) (2) sexual physiology(video tape, lecture) (3) pregnancy and child birth(lecture, video tape) (4) contraceptive methods and family planning(lecture, video tape, test, discussion) (5) sex role learning(test, lecture, role-play) (6) venereal disease and coping stratiges(lecture, video tape) (7) premarital sex and incest(cause study, lecture) (8) sex morality and sex value(seminars, lecture) (9) sexual open communication(seminars) (10) sexual healthy family(lecture, seminars)

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A Study on an Inductive Motion Edit Methodology using a Uniform Posture Map (균등 자세 지도를 이용한 귀납적 동작 편집 기법에 관한 연구)

  • 이범로;정진현
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.2C
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    • pp.162-171
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    • 2003
  • It is difficult to reuse the captured motion data, because the data has a difficulty in editing it. In this paper, a uniform posture mar (UPM) algorithm, one of unsupervised learning neural network is proposed to edit the captured motion data. Because it needs much less computational cost than other motion editing algorithms, it is adequate to apply in teal-time applications. The UPM algorithm prevents from generating an unreal posture in learning phase. It not only makes more realistic motion curves, but also contributes to making more natural motions. Above of all, it complements the weakness of the existing algorithm where the calculation quantity increases in proportion to increase the number of restricted condition to solve the problems of high order articulated body. In this paper, it is shown two applications as a visible the application instance of UPM algorithm. One is a motion transition editing system, the other is a inductive inverse kinematics system. This method could be applied to produce 3D character animation based on key frame method, 3D game, and virtual reality, etc.

Overfitting Reduction of Intelligence Web Search based on Enforcement Learning (강화학습에 기초한 지능형 웹 검색의 과잉적합 감소방안)

  • Han, Song-Yi;Jung, Yong-Gyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.3
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    • pp.25-30
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    • 2009
  • Recent days intellectual systems using reinforcement learning are being researched at various fields of game and web searching applications. A good training models are called to be fitted with trainning data and also classified with new records accurately. A overfitted model with training data may possibly bring the unfavored fallacy of hasty generalization. But it would be unavoidable in actual world. The entropy and mutation model are suggested to reduce the overfitting problems on this paper. It explains variation of entropy and artificial development of entropy in datamining, which can tell development of mutation to survive in nature world. Periodical generation of maximum entropy are introduced in this paper to reduce overfitting. Maximum entropy model can be considered as a periodical generalization in intensified process of intellectual web searching.

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Hakeem: An Arabic Application Aimed to Teaching Children First Aid using Augmented Reality

  • Al-ajlan, Monirah;Altukhays, Wujud;Alyousef, Deema;Almansour, Aljawharah;Alsukayt, Layan;Alajlan, Halah
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.368-374
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    • 2022
  • Children are by nature curious and enthusiastic about learning and love to explore and search for everything they see around them, but as a result of this exploration they may sometimes be exposed to dangerous situations ranging from falls to poisoning and suffocation. That is why when supporting a child's natural desire to explore the world and supporting his awareness of dangerous situations and good handling of them, helps him build a conscious scientific mind and enhance his curiosity in the natural world. It is not easy to imagine a difficult situation in which we or one of our family is in danger, unable to help ourselves or to help them in time, due to our complete ignorance of the rules of first aid. Hence the importance of learning first aid not only for the child but for the community and the world at large. "Hakeem" is an Arabic E-health educational application that aims to teach children from the age of six to eleven years first aid, in our belief that the seed of renaissance lies in the care and education of children, and the lack of Arabic content that aims to teach children first aid skills. The idea is to create a scenario in which the child is responsible for saving the person who will be in a dangerous situation using Augmented Reality (AR) technology, to increase engagement and interaction and provides a rich user experience, and according to the child's performance, he will get reward points. The game will have several levels: Beginner, Intermediate, and Hakeem, and based on the player's points he will get a title and move to the next level, and when he reaches the end, he will get the certificate.

A Knowledge Structure for Physical Education Application of Ecological Marine Sports; Focusing on Volleyball Games and Swimming (생태형 해양스포츠의 체육교육 적용을 위한 지식구조; 배구형 게임과 수영을 중심으로)

  • Byung-Kweon Chang
    • Journal of the Korean Applied Science and Technology
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    • v.39 no.6
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    • pp.738-747
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    • 2022
  • The purpose of this study is to construct a knowledge structure for the application of physical education in ecological marine sports. As specific exercises, a volleyball game (beach volleyball) and open water swimming were set, and a knowledge structure analysis framework was used for the study. Expert consultation was conducted to secure the validity of the study. The study results are as follows. First, a knowledge structure based on the 2022 revised physical education curriculum was prepared. Second, the basis for the application of physical education classes for ecological marine sports was prepared. Third, learning contents in the knowledge·understanding domain, process·functional domain, and value·attitude domain of beach volleyball were proposed. Fourth, learning contents of knowledge·understanding domain, process·function domain, and value·attitude domain of sea swimming were proposed. This study is meaningful in that it prepared in advance for the realization of the 2022 revised physical education curriculum to be introduced in the future.

Performance Experiment of Upstream Digital Signal Transmission over Cable TV Networks in Korea (국내 케이블 TV 전송망의 상향 디지털신호 전송 성능실험)

  • 김형준;노상영;최규태;신민영;박종헌;박승권
    • Journal of Broadcast Engineering
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    • v.2 no.2
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    • pp.182-193
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    • 1997
  • In this paper, we propose technical and structural solutions for various problems in two-way digital communication services in CATV networks by actual field tests. The two-way digital communication services include VOD, video conferencing, distance learning, interactive game and internet service. We investigate the quality of T -1 level 0.544 Mbps) upstream digital signal while varying the number of subscribers in three different cells in accordance with ITU-T G.821. Based on this investigation, several ways to cope with the problems identified are suggested.

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A comparative study of digital contents industries (디지털 콘텐츠 산업의 유망분야 비교분석 연구)

  • Kim, Eun-Sun;Park, Dong-Un;Park, Young-Seo
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.737-740
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    • 2006
  • With the development of internet diffusion, digital contents industries has been growing with various forms such as game, animation, e-learning etc.. Considering that digital contents industry is the part of national growth engine, it is very important to make decision over technology development direction based on commercialization premises. This paper tries to give practical help over industries and academia through details industry analysis and assessment. The part of assessment tools which was originated from Standford Research Institute has been applied to compare and analyze the details industries.

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LSTM Hyperparameter Optimization for an EEG-Based Efficient Emotion Classification in BCI (BCI에서 EEG 기반 효율적인 감정 분류를 위한 LSTM 하이퍼파라미터 최적화)

  • Aliyu, Ibrahim;Mahmood, Raja Majid;Lim, Chang-Gyoon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.6
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    • pp.1171-1180
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    • 2019
  • Emotion is a psycho-physiological process that plays an important role in human interactions. Affective computing is centered on the development of human-aware artificial intelligence that can understand and regulate emotions. This field of study is also critical as mental diseases such as depression, autism, attention deficit hyperactivity disorder, and game addiction are associated with emotion. Despite the efforts in emotions recognition and emotion detection from nonstationary, detecting emotions from abnormal EEG signals requires sophisticated learning algorithms because they require a high level of abstraction. In this paper, we investigated LSTM hyperparameters for an optimal emotion EEG classification. Results of several experiments are hereby presented. From the results, optimal LSTM hyperparameter configuration was achieved.