Towards a Connected Smart Classroom: Case of an Adaptive Teaching Activity

Recently, several “smart classroom” architectures have been developed with its specific architecture, most of which are general architectures for teaching and distance learning. Therefore, there is a dire need, as a particular challenge, to model and develop a generic architecture that should integrate into particular features of adaptive e-learning in a single model. This latter aims at making the system more efficient and helpful to learners to advance and complete their learning courses successfully while exploiting the traceability and history of the activities taught. The data related to each learner and the trainer was also exploited to predict the optimal and automatic choice of the learning path to be taken. Today, this challenge is now possible thanks to the rapid evolution of Information and Communication Technologies for Education (ICTE), where a new concept of the Internet has emerged under the name Internet of Things (IoT). This has allowed the development and exploitation of the concept of “intelligent environments” in an educational process, considering the specific aspects of this process (face-to-face education, virtual education, self-training, etc.), into a single model. This was achieved while personalizing the educational content based on the specific needs of the learner specifically putting the latter in the heart of the learning process as the main actor.