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The paper has the aim of describing a particular framework for implementing the concept of critical thinking through serious games. In a world where thinking is based on distorted and uninformed judgements, we sketch a critique to the philosophical approaches of reasoning and thinking, concluding that the Paulian framework is one of the most performant approach proposed thus far. We started this paper form the new characteristic of critical thinking which R. Paul identified it: metacognition. The researcher is arguing that through metacognition the subject is constantly improving the quality of its proper thinking by controlling the inner structures of thinking. By embracing this definition, we were able to blueprint the fact that there is a possibility to amplify and to enhance critical thinking through serious games. Being given this opportunity, we conducted an experiment in order to see if critical thinking can really be better taught by means of serious games. In particular manner, we tracked the constantly improvement of thinking and the overcoming of the thinking errors. The results of this experiment were very nourishing to the idea that the Internet of Things (IOT) could be a nursery for the development of critical thinking. In a particularly manner the military educational system has to be by definition the driving stimulus for achieving critical thinking in the military system. Over all, this paper wants to be an advocacy for the systematically cultivated excellence in thinking in the military educational system as a milestone in training the forces for the new battlefield necessities.

Delivering some tendencies regarding the future of eLearning represents a strong and effective tool for eLearning researchers and users from the entire world. Nowadays the Maturity Models became some tailored solutions for measuring the development of eLearning. This pessimistic-mercantile way of making science did not offer some prospective layers to adapt to future technology, but to adapt to a static point that fore sure will be outdated when achieved. Therefore, although it is agreed among scientific community that eLearning represents a “mantra” that affects efficiency and value, there are few interests in discovering the future tendencies of eLearning. Peculiar, in the practice of eLearning in security studies those tendencies do not exist at all. Some world-wide events demonstrated us that the ability to anticipate and to respond to security changes is a compulsory asset for a state. Therefore, eLearning must deal with this asset. A pragmatic way of shaping a better perception of security is by developing and applying eLearning trends. This article presents the main propensities and weak signals of the eLearning environment as MOOC (Massive Open Online Courses), IOT (Internet of Things), VRT (Virtual Reality Technologies), BYOD (Bring Your Own Device), mobile learning, gamification and others. This article concludes that identifying the main propensities of eLearning is a key factor in the continuous education of security practitioners. Therefore, by cultivating newest technology in eLearning in the field of security studies, an added-value is achieved. This allows security practitioner to prepare and respond to sudden disrupts and changes of the environment.

When studying the military leaders' behavior, we observe that the problem of prediction transformed their work in a Sisyphus one. The lack of knowing the future, especially in the field of states' behavior, represents a major problem for the military decision makers. In this article one will not use the prediction methods to generate possible futures, but will use it in order to analyze if the predictions methods are still a living concept. We asked whether the use of these methods could be a solution with encouraging results in developing military leaders competencies. In order to validate this hypothesis one tried to bind the decision types with neural networks and with military leaders behavior, thus creating a holist course consisting of variables united by a fitting problem. These elements could indicate one through a scientific approach if the prediction methods are really important for nowadays society. One used some methods which are widely spread in the international academic community in order to obtain the leaders decisions. Of course, it was shown that the behavior of the military leaders is connected with the approval of some prediction methods. We argue that the state of security is described by some patterns. These patterns could indicate us, through a scientific approach, if the insecurity is inherent. The paper mainly refers to Tangredi, Kahn and Schwartz analysis from this field. It tries to emphasize the importance of the scenarios and neural networks in security. Finally, the paper tried to emphasize the importance of prediction in the field of security.

This article proposes the use of neural networks as a solution with encouraging results in making predictions in the fields of security and international relations. It tries to bind the Copenhagen Security Model with neural networks, thus creating a holist course consisting of variables united by a fitting tool problem. These elements could indicate us through a scientific approach if the insecurity is inherent. The paper mainly refers to Tangredi, Kahn and Schwartz analysis in this field. One uses some datasets which are widely spread in the academic community (Correlates of war and Polity 4) in order to test the model. The results obtained from Eugene and Matlab Neural Network Toolbox are compared with the results of H. Kahn and B. Russet. Of course, it is shown that flexibility of the neural network models is able to reach important empirical relations drawn between democracy and conflict which aren't seen with other means. Finally, the paper tries to emphasize the importance of the scenarios and neural networks in security. One chooses to agree with supporting the neural networking because their usage opens a new age in the field of predictions. One demonstrates that this fact is happening because the neural model offers us the possibility of learning. It means that as long as the model roles it will correct its errors and become more accurate. It represents a valuable option for future studies which changes the meaning of the scenario from the tool used for developing simple tales of possible futures to description with "full ramifications" which are designed to change and modify our leaders' view of reality.