Mouenis Anouar Tadlaoui

Mouenis Tadlaoui is a PhD in Computer sciences, at the Laboratory of Informatics, Research Operational and Statistic Applied (LIROSA) at Faculty of Sciences, Abdelmalek Essaadi University. His dissertation research, focus on managing the learner model in Adaptive Hypermedia systems based on Bayesian methods and artificial intelligence. Mouenis Have a Master's degree in Instructional design Multimedia engineering, and a BSc in Web development from Abdelmalek Essaadi University in 2013 and 2011. He has produced several technical outputs, including books, papers, book chapters, technical presentations, processes, among others in the field of adaptive systems management. In research, his current interests include: E-learning, Adaptive Hypermedia Systems, Artificial Intelligence, and Bayesian Networks.

Publications

Personalization and Collaboration in Adaptive E-Learning
Personalization and Collaboration in Adaptive E-Learning
Mouenis Anouar Tadlaoui, Mohamed Khaldi. © 2020. 348 pages.
As part of e-learning, adaptive systems are more specialized and focus on the adaptation of learning content and presentation of this content. An adaptive system focuses on how...
Concepts and Interactions of Personalization, Collaboration, and Adaptation in Digital Learning
Concepts and Interactions of Personalization, Collaboration, and Adaptation in Digital Learning
Mouenis Anouar Tadlaoui, Mohamed Khaldi. © 2020. 33 pages.
There are several ways learners can interact when studying, and each of these ways requires a somewhat different mix of media and technology to be adapted to each learner in a...
Implementing a Probabilistic Learner Model Into a Course Creation Application
Implementing a Probabilistic Learner Model Into a Course Creation Application
Mouenis Anouar Tadlaoui, Fauzi El Moudden, Mohamed Khaldi. © 2020. 15 pages.
In the context of e-learning systems, we can distinguish between two different types of settings. First, we have adaptable systems, which refer to the property of changing the...
Combining the Overlay Model and Bayesian Networks to Determine Learning Styles in AHES
Combining the Overlay Model and Bayesian Networks to Determine Learning Styles in AHES
Mouenis Anouar Tadlaoui, Rommel Novaes Carvalho, Mohamed Khaldi. © 2019. 24 pages.
First of all, it is important to note that the work presented here lies within the modeling part of the learner in an adaptive educational system construed as computational...
Managing the Learner Model With Multi-Entity Bayesian Networks in Adaptive Hypermedia Systems
Managing the Learner Model With Multi-Entity Bayesian Networks in Adaptive Hypermedia Systems
Mouenis Anouar Tadlaoui, Rommel Novaes Carvalho, Mohamed Khaldi. © 2019. 20 pages.
Modeling the learner in adaptive systems involves different information. There are several methods to manage the learner model. They do not handle the uncertainty in the dynamic...