Potential of Using Virtual Environment for Aircraft Maintenance Learning System in Making Tacit Knowledge Explicit

Author(s):  
N. S. Jamain ◽  
Z. M. Kasirun
Author(s):  
Jacquelyne Forgette ◽  
Michael Katchabaw

A key challenge in programming virtual environments is to produce virtual characters that are autonomous and capable of action selections that appear believable. In this chapter, motivations are used as a basis for learning using reinforcements. With motives driving the decisions of characters, their actions will appear less structured and repetitious, and more human in nature. This will also allow developers to easily create virtual characters with specific motivations, based mostly on their narrative purposes or roles in the virtual world. With minimum and maximum desirable motive values, the characters use reinforcement learning to drive action selection to maximize their rewards across all motives. Experimental results show that a character can learn to satisfy as many as four motives, even with significantly delayed rewards, and motive changes that are caused by other characters in the world. While the actions tested are simple in nature, they show the potential of a more complicated motivation driven reinforcement learning system. The developer need only define a character's motivations, and the character will learn to act realistically over time in the virtual environment.


Author(s):  
Keiichi Watanuki

This paper proposes a new virtual reality mediated skill transfer and human resource development system for manufacturing technology and skill, which are composed of the explicit and tacit knowledge transfer systems using synchronized multimedia and the knowledge internalization system using portable virtual environment. In our proposed system, the education content is displayed in the immersive virtual environment, whereby a trainee may experience work in the virtual site operation. Provided that the trainee has gained explicit and tacit knowledge of casting through the multimedia-based knowledge transfer system, the immersive virtual environment catalyzes the internalization of knowledge and also enables the trainee to gain tacit knowledge before undergoing on-the-job training at a real-time operation site.


2010 ◽  
Vol 3 (2) ◽  
pp. 211
Author(s):  
Qingping Lin ◽  
Liang Zhang ◽  
Sun Ding ◽  
Weihua Wang ◽  
Ker Sin Neo ◽  
...  

2014 ◽  
Vol 623 ◽  
pp. 241-244
Author(s):  
Wei Ying Li

There is a clear lack of respect about traditional network adaptive learning system teaching on individualized assessment knowledge and building tacit knowledge, and this paper presents a knowledge model that supports personalized knowledge assessment, knowledge stored in the cloud computing environment, and construct tacit knowledge for learning body, to provide a personalized learning services for learners to achieve user to adapt the system to adapt to the user's system and two-way adaptation, this paper has guiding significance for further studies of adaptive learning systems.


2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Sansan Li ◽  
Dongxian Zhou

Objective. To explore the construction of immersive learning system based on virtual reality (VR) and test its learning effect. Methods. 20 qualified subjects were divided into two groups, each tending to agree, each with 5 boys and 5 girls. Experimental group 1 is in the real operating environment, and experimental group 2 is in the VR virtual disassembly experimental environment. The task process errors, knowledge questionnaire scores and user subjective satisfaction were analyzed statistically. Results. The significance probability P of knowledge questionnaire in the Levene test was 0.777, greater than 0.05, and the variance homogeneous, so the final P of independent sample t -test was subject to “assumed variance equal”; the significance probability was 0.613, greater than 0.05; the questionnaire scores of two groups showed no significant difference, so VR virtual environment can achieve the learning effect of the real environment. The number of errors in a VR virtual situation is significantly lower than the number of errors in the real environment, the VR virtual environment can achieve the learning effect of the real environment, and the VR virtual environment can achieve more interaction, with good interaction. Conclusion. The immersive learning system based on VR detection technology can realize the cognition of three-dimensional model structure and has a certain learning effect.


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