In the last few years, the evolution of new Information and Communication Technologies (ICT) and networks has enabled the appearance and development of several platforms and tools that serve to operate and distribute the learning content. In some particular domains, especially the scientific one, learners need to work on practical activities, using specific products and equipment to complete, consolidate, or verify their conceptual acquisitions. However, facing the increasing number of learners in Moroccan institutions, it becomes hard and expensive for developing countries, like Morocco, to ensure the appropriate conditions for each learner to perform such activities. The majority of the suggested platforms and tools cannot solve this issue, because of their inefficiency regarding offering students good interactive practical activities. Virtual Reality (VR) and the Internet of Things (IoT), as the two most incredible technologies of the last few decades, can be used as an alternative to create a virtual environment where the learner can carry out practical activities like in the real world. In such an environment, learners interact with both virtual and physical objects. In this research paper, we propose a new approach based on VR and IoT to enhance learning by providing learners with an educational space where they can perform some practical activities. The hybrid proposed approach has been used to create a virtual environment where learners (the final year of high school) can measure ultrasonic velocity in the air. The evaluation results show that the manipulation and coupling of real objects with virtual 3D objects increases in a striking way the learning outcomes of learners, as this allows them to feel linked to the real context.
Advances in networks, computers and multimedia technology have changed traditional methods for learning and skills training. Nowadays, Virtual Environments for Training (VET) have been popular, they can provide an environment where virtual reality can be used to create interactive interfaces and real-time software that can control every response and action made by the user. VET have proven to be advantageous to put learners into varied training situations to acquire knowledge and competencies, especially when these situations are taking place in uncontrolled circumstances, or when they are dangerous, unrealizable, or expensive to establish in reality. However individual learners find it difficult to select suitable learning situations for their particular situation because often, there is no personalized service to response to the user needs. Personalization of learning in a VET is a very important way of improving the effectiveness and the quality of the training, yet it also a complex process that requires consideration of several factors such as learners profiles. The goal is to associate suitable learning situations to each learner based on his profile. However, personalization of learning becomes an issue with the uncertainty and imprecision of data that may contains a learner profile. To address this issue, this study is an attempt to integrate a fuzzy clustering into the process of the personalization of learning.
Now a day’s Security in cloud computing is one of the broad areas for researchers. Cloud computing is a term that involve to deliver the services over the Internet. So, it requires the security upgrade in data transmission approach. One of the ways by which data in the Cloud be secured is cryptography. In fact, the high-quality cloud security can be achieved by efficient encrypting techniques. This paper investigates how the integrity and secure data transfer are improved based on the Elliptic Curve cryptography and DNA computing. Many researchers have tried to exploit the features of ECC field for security applications. In this paper, we attempt to develop a fast hybrid cryptosystem based on Elliptic Curve and DNA computing for providing security service such as confidentiality in the cloud services. The security of the proposed scheme is based on Elliptic Curve Discrete Logarithm Problem (ECDLP). Existing DNA based cryptography technique need more computational power and more processing time with larger key sizes to provide higher level of security. The main goal of our construction is to enhance the security of elliptic curve cryptosystem using DNA Computing. In this approach data stored on the cloud server in the encrypted form and even if data is accessed by the attacker, the attacker can't get the current data.
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