In the face of technological innovation, the field of education has undergone a progressive evolution through the use of technology. Among the techno-pedagogical trend, the authors find the adaptive E-learning which is a new reform. This trend consists in providing personalized learning adapted to individual and collective needs, both in terms of learning pace and content. Through this chapter, they try to link personalization and adaptation. In a first step, they define adaptive e-learning after giving a historical overview of the different adaptive systems from open distance learning to e-learning as well as the components of adaptive systems. In the second part, they define the notion of personalization in adaptive e-learning and the pedagogical scenario. Finally, in the last part of the chapter, they propose an approach to design a personalized and adaptive learning system based on the pedagogical scenarios during the different types of pedagogical activities.
TopIntroduction
Trends come and go and the best of the reforms or innovations in teaching and learning are always lost. The personalization of teaching and learning cannot be understood without a reflection and propositions on the training of people and teams involved in the educational project and especially in the new reform of e-learning.
Nowadays, there are many solutions to realize an adaptive and personalized learning platform. On the one hand, most of these platforms focus on adapting learning paths. By pre-testing the learners and on the basis of the results obtained, the system proposes a personalized learning path so that the content can be adapted to their individual needs. On the other hand, there is a solution that focuses on adapting the learning rhythm and style (Anoir et al., 2020).
With the emergence of new learning technologies personalization refers to a pedagogical approach that takes place in an intermediate space where teaching and learning come together in the form of personalized training devices, adapted and intended for different learner profiles in a social learning context (Tadlaoui & Khaldi, 2020).
Indeed, adaptive learning is a new method that combines technology and pedagogy to meet the challenges of the educational field. It includes adjustments according to the needs of each learner and personalized learning according to the specific skills and needs of each learner. These adaptive educational systems promise to take into account the learner's personal information (knowledge, preferences, capacities, objectives...). The main idea of adaptive learning is to meet the individual needs of each learner in the learning process. Therefore, the role of the teacher is to understand the situation of each learner and to adjust the program. This is why technology can be an effective solution. Adaptive learning does not impose a single plan on all learners, whatever their individual abilities and needs, but it allows them to develop personalized learning and to have the motivation to keep acquiring knowledge.
Our proposed work is based on a scientific context through which, in the first part, we evoke a general context that proposes an overview of adaptive e-learning, personalization, scenarios of the learning activity and in the second part the architectures of personalized scenarios of different learning situations.