Anouar Tadlaoui Mouenis

Is a PhD Research Scholar 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 & 2011. He has produced several technical outputs, including Books, papers, book chapters, technical presentations, among others in the field of Computer Sciences. In research, his current interests include: Learner Modeling, Adaptive Web,Artificial Intelligence, Bayesian Networks and Machine learning.

Experience

Education

Skills

• Machine learning.
• Data Visualization.
• Pedagogical scripting integrating the ICT and ODL dimension.
• Administration of e-Learning platforms.
• Agile Development & Scrum.

Projects

A Machine Learning Adaptive Application "E-Routine" to improve Learning Capacities of Children with Autism

Working with children with autism is based essentially on establishing a stable routine for the children. From using daily routine cards that children relay on to predict any change in their daily life, to the use of planners in the classroom to follow the learning path individually and comprehend the next task to accomplish. "E-Routine" is a Machine Learning based application that predict the adequate routine for each child and adjust the routine based on that prediction.

Learner modeling in Adaptive Educational Hypermedia Systems

The main hypothesis of this project is the use of Bayesian networks and methods as a probabilistic formalism for the management of the learner model in adaptive hypermedia. During all stages of the development of this model, since the initialization of the learner model based on the combination of Bayesian networks, and the method of stereotypes and during the update, in which we propose to integrate the networks Bayesian with the overlay model for complete probabilistic management of this model.

"E-Support" - E-Learning Support Platform

The “E-Support” project is part of the development of learning in the “Baraim Er-razi” school establishment, it is a platform which aims to computerize the course management system and school activities and the management of the whole course of learners of the 6th year of the primary school of the establishment. The purpose of the "E-Support" project is to find a solution to the problem of insufficient time to carry out activities that help learners to improve knowledge acquisition and skills development.

Publications

Books

• Anouar Tadlaoui Mouenis , Mohamed Khaldi. (2020). Personalization and Collaboration in Adaptive E-Learning. (pp. 1-350). Hershey, PA: IGI Global. doi:10.4018/978-1-7998-1492-4
• Anouar Tadlaoui Mouenis , Rommel Novaes Carvalho, Mohamed Khaldi (2019). Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities . IGI Global, 2019. 1-210. DOI:10.4018/978-1-5225-7413-2

Published Papers

• Anouar Tadlaoui Mouenis , Fauzi El Moudden, Mohamed Khaldi (2019). The implementation of a probabilistic learner model in LMS-LD course creation application COPROLINE. International Journal of Advanced Computer Research, 9(45), 386-396.
• Anouar Tadlaoui Mouenis , Rommel Novaes Carvalho, Mohamed Khaldi (2018). A learner model based on Multi-Entity Bayesian networks and Artificial Intelligence in Adaptive Hypermedia Educational systems , International Journal of Advanced Computer Research 8, 148-160.
• Anouar Tadlaoui Mouenis , Rommel Novaes Carvalho, Mohamed Khaldi (2017). The Initialization of the Learner Model combining the Bayesian Networks and the Stereotypes Methods, International Journal of Advanced Computer Research 7 (32), 200-212.
• Anouar Tadlaoui Mouenis , Souhaib Aammou, Mohamed Khaldi, Rommel Novaes Carvalho (2016), Learner Modeling in Adaptive Educational Systems: A Comparative Study ,International Journal of Modern Education and Computer Science 8 (3), 1-10.
• Anouar Tadlaoui Mouenis , Khaldi Mohamed and Aammou Souhaib (2015). Development of Bayesian Networks from Unified Modeling Language for Learner Modelling , International Journal of Advanced Computer Science and Applications 6 (3), 139-144.
• Anouar Tadlaoui Mouenis , Khaldi Mohamed and Aammou Souhaib (2014). Towards Probabilistic Ontology based on Bayesian Networks , International Journal of Software and Web Sciences 1 (10), 102-106.
• Anouar Tadlaoui Mouenis , Khaldi Mohamed and Aammou Souhaib (2014). Bayesian Networks for Learner Modeling , International Journal of Basic Sciences and Applied Computing 1 (1), 5-9.

Book chapters

• Anouar Tadlaoui Mouenis , Mohamed Khaldi., (2020). Concepts and Interactions of Personalization, Collaboration, and Adaptation in Digital Learning. In M. Tadlaoui, & M. Khaldi (Eds.), Personalization and Collaboration in Adaptive E-Learning (pp. 1-33). Hershey, PA: IGI Global. doi:10.4018/978-1-7998-1492-4.ch001
• Anouar Tadlaoui Mouenis , Fauzi el Modden, Mohamed Khaldi., (2020). Implementing a Probabilistic Learner Model Into a Course Creation Application. In M. Tadlaoui, & M. Khaldi (Eds.), Personalization and Collaboration in Adaptive E-Learning (pp. 244-258). Hershey, PA: IGI Global. doi:10.4018/978-1-7998-1492-4.ch012
• Anouar Tadlaoui Mouenis , Rommel Novaes Carvalho., Mohamed Khaldi. (2019). Managing the Learner Model With Multi-Entity Bayesian Networks in Adaptive Hypermedia Systems. In M. Lytras, N. Aljohani, L. Daniela, & A. Visvizi (Eds.), Cognitive Computing in Technology- Enhanced Learning (pp. 89-108). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-9031-6.ch005
• Anouar Tadlaoui Mouenis , Mohamed Khaldi., Rommel Novaes Carvalho. (2019). A Comparative Study of the Functionalities and Characteristics of a Learner Model in Adaptive Hypermedia Educational Systems. In Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities (pp. 1-23). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-7413-2.ch001
• Anouar Tadlaoui Mouenis , Mohamed Khaldi., Rommel Novaes Carvalho. (2019). A Comparative Study of the Modeling Techniques and Models of a Learner Model in Adaptive Hypermedia Educational Systems. In Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities (pp. 24-47). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-7413-2.ch002
• Anouar Tadlaoui Mouenis , Mohamed Khaldi., Rommel Novaes Carvalho. (2019). Development of Bayesian Networks From Use Case Diagrams for Managing the Learner Model. In Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities (pp. 48-63). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-7413-2.ch003
• Anouar Tadlaoui Mouenis , Mohamed Khaldi., Rommel Novaes Carvalho. (2019). A Learner Model Based on Bayesian Networks in Adaptive Educational Hypermedia Systems. In Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities (pp. 65-94). Hershey, PA: IGI Global. doi:10.4018/978- 1-5225-7413-2.ch004
• Anouar Tadlaoui Mouenis , Mohamed Khaldi., Rommel Novaes Carvalho. (2019). The Determination of Learning Styles in a Learner Model Using the Combination of Bayesian Network and the Overlay Model. In Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities (pp. 95-123). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-7413-2.ch005
• Anouar Tadlaoui Mouenis , Mohamed Khaldi., Rommel Novaes Carvalho. (2019). The Combination of Bayesian Networks and Stereotypes to Initialize the Learner Model in Adaptive Educational Hypermedia Systems. In Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities (pp. 124- 148). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-7413-2.ch006
• Anouar Tadlaoui Mouenis , Mohamed Khaldi., Rommel Novaes Carvalho. (2019). A Learner Model Based on Multi-Entity Bayesian Networks in Adaptive Hypermedia Educational Systems. In Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities (pp. 149-174). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-7413-2.ch007
• Anouar Tadlaoui Mouenis , Rommel Novaes Carvalho, Mohamed Khaldi (2019). Combining the Overlay Model and Bayesian Networks to determine Learning styles in AHES . In Azevedo, A., & Azevedo, J. (Ed.), Handbook of Research on E-Assessment in Higher Education (pp. 195-218). IGI Global. http://doi:10.4018/978-1-5225-5936-8.ch008
• Anouar Tadlaoui Mouenis , Aammou Souhaib and Khaldi Mohamed (2015). Learner Modeling Based on Bayesian Networks , E-Learning - Instructional Design, Organizational Strategy and Management, Dr. Boyka Gradinarova (Ed.), ISBN: 978-953-51-2188-6, InTech, DOI: 10.5772/61021

Conference's papers

• Anouar Tadlaoui Mouenis , Rommel Novaes Carvalho, Mohamed Khaldi (2017), Using first Order Logic and Bayesian Networks to manage the Learner Model in Adaptive Educational Hypermedia, TICET2017 Proceedings. Tétouan, Morocco.
• Anouar Tadlaoui Mouenis , Mohamed Khaldi, Rommel Novaes Carvalho (2016), Learner’s Styles Determination Using Bayesian Networks In a Learner Model , CMT2016 Proceedings. Tétouan, Morocco.
• Anouar Tadlaoui Mouenis , Souhaib Aammou, Mohamed Khaldi, Rommel Novaes Carvalho (2015), Learner modeling in Adaptive Hypermedia Educational Systems , BDCA2015 Proceedings. Tétouan, Morocco.
• Anouar Tadlaoui Mouenis , Aammou Souhaib and Khaldi Mohamed (2014), Using Bayesian Networks in Learner modelling , COMENG2014 Proceedings. Izmir, Turkey.
• Anouar Tadlaoui Mouenis , Khaldi Mohamed and Aammou Souhaib (2014), Towards a Learning model based on Bayesian Networks , EDULEARN14 Proceedings. Barcelona, Spain.