The low percentage of completion online courses in the framework modern mass education may be related to lack adaptation for a specific user an course learning path unifying all stu-dents. solution problem can adaptive learning, which modifies process different students depending on their characteristics and conditions. purpose study is automate developing e-learning by using blockchain technol...

In this paper we present an intelligent architecture, oriented goals, to create individualized learning paths. The adaptation of learning paths to learner profiles is an area of research growing. More research in this field has shown that taking into account the preferences and learning styles of learners improve the quality of the teaching/learning; thus, the collection of information characte...

In this paper we aim to describe the process by which our personalised web-based collaborative teaching/learning methodology (CECIP – Collaboration – Evaluation – Critical thinking – Individual assessment – learner Profile) evolved originating from Vygotsky’s theory and based on the (C) collaborative construction of student’s knowledge, (E) developing evaluation and assessment skills, (C) devel...

Student modelling is an important process for adaptive virtual learning environments. Student models include a range of information about the learners such as their domain competence, learning style or cognitive traits. To be able to adapt to the learners’ needs in an appropriate way, a reliable student model is necessary, but getting enough information about a learner is quite challenging. The...

Intelligent learning systems provide relevant materials to students based on their individual pedagogical needs and preferences. However, providing personalized objects learners’ preferences, such as styles which are particularly important for the recommendation of objects, re-mains a challenge. Recommending most appropriate learners has always been challenge in field e-learning. This driven ed...

Background: In Saudi Arabia, nursing education is developing fast due to high demand. Alongside this development, nurse educators must identify and understand students learning styles ensure the multidimensional development of experiences. Students' preferred style an essential element in determining students' unique ways processing new knowledge, information, skills. Objective: This literature...

There exists an increasing demand for intelligent learning environments that are adaptive to learner’s preferences and tasks. This paper presents a study of an intelligent learning environment where the learner’s preferences are diagnosed using learner behavior patterns on user interfaces. In this research, a learning-style model by Felder & Silverman has been adopted as an appropriate basis fo...