STEAM (Science, Technology, Engineering, Arts, and Math) is to educate the people who take convergent thinking and divergent creativity. The current society is the knowledge network society. It requires these people. The alternative educational policy is focused on the learner centered based on learners' interests or concerns. The educational game is one of the best teaching and learning strategies. With taking notice of this point, this paper has studied about how amount the educational game was able to support the possibilities of STEAM support. Ten teachers who were evaluators for three educational games which were different genre's game evaluated them using a sheet for evaluating the possibilities of STEAM support using the educational game. Based on the results of this evaluation, we leaded 5 conclusions as follows: the educational game is able to support STEAM's goals, the step for presenting the situations, the step for the creative design, the step for taking an emotional experiences, and it has STEAM's elements in itself.

Recently the creative education is being discoursed actively for the primary and the secondary school in Korea. It makes students get the creativity and the alternative knowledge which is merged in the new solution for solving some problems that they can meet in their life. On the other hand, Game Based Learning (G-Learning) has been approved it's educational effects not only in Korea but also all over the world. This study tried to consider G-Learning as educational methods for improving the creativity. To put it concretely, the purpose of this study is inquiry useful strategies for designing the G-Learning considering factors for the creativity. There are many scholars who has been researching about the creativity factors such as Guilford, Torrance, Anderson or Clark and so on. This study inquired some strategies into the G-Learning considering creativity factors by Guilford and Torrance who had researched creativity factors for the primary and the secondary school students. For the game design theory, this study examined Whitton's one because he had reported one of the most comprehensive game design strategies. Finally, this study inquired game design strategies based on merging the creativity factors by Guilford with the game design strategies by Whitton. It suggests useful strategies for the game designer who are willing to develop some games for improving students' creativity directly or creativity strategies as necessary factors for the G-Learning.

Education and Game are the main keyword for the future society. Many countries are taking notice of these to improve the competitive power of their countries. Educational Game is not Education for Game but Game for Education. By the way, there are many definitions for the Educational Game and many discourse about the relations between Education and Game. It is necessary and meaningful to discourse about setting of relations between Education and Game in this point of the time. Generally, some former studies are focused on functions of Education using Game but this study tried to back to the basic with discoursing about the definition of Education and Game itself. Finally, this study drove the definition of Pedagogical from discourses among Education, Game and Educational Game. Educational Games are going to be developed plenty but we get some problems for adjusting the balance between the goal for the Game and the goal for the Education or blending game elements for the fun with cognitive knowledges which are learned during game play. Pedagogical Game can give some suggestions to solve these kind of problems or to make you back to the basic discourse between Education and Game.

Visual odometry is a popular approach to estimating robot motion using a monocular or stereo camera. This paper proposes a novel visual odometry scheme using a stereo camera for robust estimation of a 6 DOF motion in the dynamic environment. The false results of feature matching and the uncertainty of depth information provided by the camera can generate the outliers which deteriorate the estimation. The outliers are removed by analyzing the magnitude histogram of the motion vector of the corresponding features and the RANSAC algorithm. The features extracted from a dynamic object such as a human also makes the motion estimation inaccurate. To eliminate the effect of a dynamic object, several candidates of dynamic objects are generated by clustering the 3D position of features and each candidate is checked based on the standard deviation of features on whether it is a real dynamic object or not. The accuracy and practicality of the proposed scheme are verified by several experiments and comparisons with both IMU and wheel-based odometry. It is shown that the proposed scheme works well when wheel slip occurs or dynamic objects exist.