This paper presents the evaluation of Index Learning Styles, an assessment tool Felder–Silverman learning model. A few studies have previously evaluated this tool, but as far we know, none them considered learners’ opinion to achieve their goals. Considering that many suggest continuing with Styles’ evaluation, experimental study was conducted using Protus, developed adaptive system. Analysing ...

This work describes a model for an adaptation process to deliver educational content in a learning management system (LMS), according to a user learning style in the context of eLearning process based on competences. To achieve this purpose, a user model based on the Felder and Silverman learning styles and the design of an adaptive process are presented. We use machine learning techniques to s...

This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student’s learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and personalising the tutorial to boost confidence and i...

A challenge of student modeling in adaptive virtual learning environments is to get enough information about the learner. Information about the learner such as the domain competence, the learning style or the cognitive traits of a learner is very important for an adaptive environment to achieve its main aim, namely to adapt to the learners’ needs. In this paper we investigate the interaction be...

This paper proposes a generic methodology and architecture for developing a novel conversationalintelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts andadapts to a student‟s learning style. Oscar aims to mimic a human tutor by implicitly modelling the learningstyle during tutoring, and personalising the tutorial to boost con...

Massive Open Online Course (MOOC) seems to expand access education and it present too many advantages as: democratization of learning, openness all accessibility on a large scale, etc. However, this new phenomenon open learning suffers from the lack personalization; is not easy identify learners’ characteristics because their heterogeneous masse. Following increasing adoption styles as personal...

To provide personalization and adaptivity in technology enhanced learning systems, the needs of learners have to be known by the system first. Detecting these needs is a challenging task and therefore, mechanisms that support this task are beneficial. This paper discusses the relationship between learning styles, in particular the Felder-Silverman learning style model, and working memory capaci...

This paper presents an interface agent, designed for a virtual learning environment, whose main capabilities are to communicate with users in natural language and to promote collaboration by inciting students to help each other. An experiment was carried out with 72 university students to assess the effectiveness of the interface agent regarding its ability to improve students’ performance, to ...

HyFlex learning is a hybrid transformation where this term new, but the modality has been applied during COVID-19 Pandemic and being prepared for future learning. However, main problems challenges related to student’s needs, expectations, cognitive styles, pedagogical equity. This must be highest consideration in determining content, strategy, choice of best mode. The student preferences need f...